Bachelor of Science in Electronic And Communication Engineering (ECE)

Program Overview

Modern communication systems are bringing a revolution in the lives of business and individuals in every possible way. The global economy relies increasingly on high-speed data and other digital data networks interconnecting computers and other digital devices across the world. All aspects of business, from research and development to production, marketing and sales, benefit from the rapid advances in such technology. Our social lives, entertainment and education are also enhanced by continuing advances in personal and mobile communications, media compression and seamless connectivity between equipment. The main objective of the degree is to produce well-rounded and well-balanced graduates who can use Electronics and Communication Engineering tools to solve real world problems. In designing the course, the requirements of IEEE and curricula of North American and European universities and institutes have also been taken into consideration.

Program Objectives

The Bachelor of Science in Electronic and Communication Engineering (BSECE) curricula are designed to provide the broad based general education and the fundamental principles of electrical and electronic engineering essentials to the continued professional growth of the typical graduates in the relevant field. The general objective of the BSECE program is to prepare graduates to become successful in their chosen career paths as well as make them ready for sustainable development while upholding human values. Specifically, the graduates of the program will be able to:

PEO-1 (Expertise): Excel in professional career by applying their knowledge and skills gained in diverse areas of electronic and communication engineering

PEO-2 (Self-development): Adapt to challenging situations and foster professional growth through lifelong learning, higher education and professional training

PEO-3 (Values): Demonstrate strong commitment for social values and responsibilities in developing sustainable solutions of the relevant engineering problems

PEO-4 (Leadership): Exhibit leadership role in their chosen fields and beyond while maintaining the appropriate ethical and professional standards

Program Outcomes

Upon completion of the BSECE program, the students will be able to demonstrate the following outcomes:

Engineering knowledge: Apply knowledge of mathematics, natural science, electronic and communication engineering fundamentals, and specialization to the solution of complex electronic and communication engineering problems.
Problem analysis: Identify, formulate, research literature and analyse complex electronic and communication engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
Design/ development of solutions: Design solutions for complex electronic and communication engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
Investigation: Conduct investigations of complex electronic and communication engineering problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex electronic and communication engineering problems, with an understanding of the limitations.
The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solutions to complex engineering problems.
Environment and Sustainability: Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex electronic and communication engineering problems in societal and environmental contexts.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of electronic and communication engineering practice.
Individual work and teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
Communication: Communicate effectively on complex activities with the electronic and communication engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project Management and Finance: Demonstrate knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Career Opportunities

Explore limitless possibilities and shape your future with our Electrical and Electronic Engineering (EEE) program at BRAC University. Our EEE alumni have not only excelled in their careers but have also made groundbreaking contributions to various industries, including space technology, the power sector, electronics, and robotics.

One of our proudest achievements is the first nanosatellite of Bangladesh, BRAC Onnesha, designed and developed by our alumni. This remarkable feat showcases our commitment to nurturing innovative thinkers and problem solvers. The BRAC Onnesha satellite is a testament to the potential and expertise that our EEE graduates possess. Some of our distinguished alumni work on prestigious projects such as the Bangabandhu Satellite. Others have forged their path as entrepreneurs, with several becoming CEOs of different companies. The EEE program's comprehensive education equips students with the skills and knowledge needed to thrive in diverse fields.

In the world of tech giants, our alumni have left their mark, with graduates employed at Intel, Google, Adidas, and more. They have also excelled in local industries, including Walton, Therap-BD, Neural Semiconductor, Energypac, Augmedix, and Ulka-Semi, making valuable contributions to the growth of these organizations. Their remarkable contributions to the semiconductor industry and cutting-edge technologies have solidified their positions as leaders in their respective fields.

Join us and embark on a journey of excellence, innovation, and endless possibilities. Discover your potential and create a successful future in the dynamic fields of electrical and electronic engineering. Your success story could be the next one to inspire future generations of EEE students.

Curriculum Structure

The Bachelor of Electronic and Communication Engineering (BSECE) degree require completion of 136 credit hours in each of the three available curriculum versions. The following table shows the general program structure of the 136 credit hours of BSEEE program for various curriculum version.

. Category	Requirement
. Category	Version V1 (Student intake up to Spring 2018) and Version V2 (Student intake from Summer 2018 up to Fall 2019)	Version V3 (Student intake from Spring 2020)
University Core (General Education-GED) - Language - Mathematics and Sciences - Art and Humanities, - Social Sciences - Business - Engaging Communities Seeking Transformation	39 credit hours	39 credit hours
School Core (School of Engineering requirement including advanced Mathematics, and Sciences)	16 credit hours	18 credit hours
Program Core	63 credit hours	63 credit hours
Final Year Design Project	4.5 credit hours	4 credit hours
Program Electives - Power - Electronics - Communication and Network - Robotics and Intelligent System - Interdisciplinary/Emerging Topic	13.5 credit hours	12 credit hours
Total Minimum Credit Hours Requirement		136

BSECE curriculum - version V1 (Student intake up to Spring 2018)

UNIVERSITY CORE (General Education –GED) 39 Credits
Course Code and Title		Credits	Prerequisite
*Writing (2 courses - 6 credits)*
ENG 101	English Fundamentals	(3 Credits)
ENG 102	English Composition	(3 Credits)	ENG 101
*Math and Sciences (4 courses - 12 credits)*
MAT 110	Mathematics I	(3 Credits)
PHY 111	Principles of Physics I (with Laboratory)	(3 Credits)
STA 201	Elements of Statistics and Probability	(3 Credits)
CHE 110	Principles of Chemistry (with Laboratory)	(3 Credits)
*Arts, Humanities, Social Sciences, Business (Minimum 6 courses – 18 credits*)
EMB 101/ DEV 101	Emergence of Bangladesh/ Bangladesh Studies	(3 Credits)
HUM 103	Ethics and Culture	(3 Credits)
ENV 103	Elements of Environmental Sciences	(3 Credits)
ECO 105	Fundamentals of Economics	(3 Credits)
ACT 201	Financial Accounting	(3 Credits)
MGT 211	Principles of Management	(3 Credits)
*GED Open Elective Course from Other Departments (COD) (1 course - 3 credits)*
Any two non-overlapping courses (COD I) from other departments. Some of the suggested courses from other departments are: HUM101, ANT101, HIS102, HIS103, SOC101, SOC 201, ECO102, BUS101, BCH101, BIO101, BTE101, CHN101, FRN101, GEO101, HST102, LAW101, POL101, PSY101, ENV101 ENV103, HUM111, HST407, LAW447, ENG333, BNG103
SCHOOL CORE 16 Credits
Course code and Title		Credits	Prerequisite
MAT 110	Mathematics I *	(3 Credits)
MAT 120	Mathematics II	(3 Credits)	MAT 110
MAT 215	Mathematics III	(3 Credits)	MAT 120
MAT 216	Mathematics IV	(3 Credits)	MAT 120
PHY 111	Principles of Physics I (with laboratory) *	(3 Credits)
PHY 112	Principles of Physics II (with laboratory)	(3 Credits)	PHY 111
CHE 110	Principles of Chemistry (with laboratory) *	(3 Credits)
STA 201	Elements of Statistics and Probability *	(3 Credits)
CSE 161	Computer Programming	(3 Credits)
CSE 162	Computer Programming Laboratory	(1 Credit)
* Credits counted toward University Core (GED)
PROGRAM CORE 63 Credits
Course Code and Title		Credits	Prerequisite
CSE 161 CSE 162	Computer Programming Computer Programming Laboratory	(3 Credits) (1 credit)
ECE 201 ECE 202	Electrical Circuits I Electrical Circuits I Laboratory	(3 Credits) (1.5 Credits)	PHY111, MAT110
ECE 203 ECE 204	Electrical Circuits II Electrical Circuits II Laboratory	(3 Credits) (1.5 Credits)	ECE201, ECE202, MAT120
ECE 205 ECE 206	Electronic Circuits I Electronic Circuits I Laboratory	(3 Credits) (1.5 Credits)	ECE203, ECE204
ECE 207 ECE 208	Electronic Circuits II Electronic Circuits II Laboratory	(3 Credits) (1.5 Credits)	ECE205, ECE206
ECE 209	Semiconductor Device Physics	(3 Credits)	ECE205, ECE206
ECE 241	Electromagnetic Waves and Fields	(3 Credits)	ECE203, MAT216, PHY112
ECE 243	Signals and Systems	(3 Credits)	ECE203, MAT216
ECE 301 ECE 302	Digital Electronics Digital Electronics Laboratory	(3 Credits) (1.5 Credits)	ECE205, ECE206
ECE 341 ECE 342	Introduction to Communication Engineering Introduction to Communication Engineering Laboratory	(3 Credits) (1.5 Credits)	ECE241, ECE243, STA201
ECE 343 ECE 344	Digital Signal Processing Digital Signal Processing Laboratory	(3 Credits) (1.5 Credits)	ECE243, CSE161, CSE162
ECE 349 ECE 350	Microwave Engineering Microwave Engineering Laboratory	(3 Credits)	ECE341, ECE342
ECE 365 ECE 366	Microprocessors Microprocessors Laboratory	(3 Credits) (1.5 Credits)	CSE161,CSE162, EEE301, ECE302
ECE 411 ECE 412	VLSI Design VLSI Design Laboratory	(3 Credits) (1.5 Credits)	ECE209, ECE301, ECE302
ECE 441 ECE 442	Wireless and Mobile Communications Wireless and Mobile Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
ECE 445 ECE 446	Digital Communications Digital Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
** Credits counted toward School Core
FINAL YEAR DESIGN PROJECT 4.5 Credits
Course Code and Title		Credits	Prerequisite
ECE 402P	Final Year Design Project	(1.5 Credits)	MGT211, ACT201, ECE343, ECE344, ECE365, ECE366, ECE411, ECE412, (ECE441/ ECE445), (ECE442/ECE446 ), Minimum 100 credit hours completed
ECE 402D	Final Year Design Project	(1.5 Credits)	ECE402P
ECE 402C	Final Year Design Project	(1.5 Credits)	ECE402C
PROGRAM ELECTIVES 13.5 Credits - Minimum 9 credits (3 theory courses) must be from one of the following areas (*Electronics, Communication and Network,* but excluding Interdisciplinary/ Emerging Topics) chosen as specialization. - The remaining credits may be taken from any of the following areas - Students must take relevant laboratory course, if any, associated with any theory courses
*Electronics*
Course Code and Title		Credits	Prerequisite
ECE 403	Properties of Electronic Materials	(3 Credits)	ECE241, ECE209
ECE 405	Optoelectronic Devices	(3 Credits)	ECE309
ECE 407	Hetero-structure Devices	(3 Credits)	ECE309
ECE 409	Solar Cell and Systems	(3 Credits)	ECE309
ECE 410	Computer Architecture	(3 Credits)	ECE301, ECE302
ECE 413 ECE 414	Digital System Design Digital System Design Laboratory	(3 Credits) (1.5 Credits)	ECE301, ECE302
ECE 415	Analog Integrated Circuit Design	(3 Credits)	ECE207, ECE208
ECE 421 ECE 422	Power Electronics Power Electronics Laboratory	(3 Credits) (3 Credits)	ECE207, ECE209
ECE 493	Special topic in Electronics	(3 Credits)	Set by department
*Communication and Network*
Course Code and Title		Credits	Prerequisite
ECE 347	Telecommunication Switching Systems	(3 Credits)	ECE341, ECE342
ECE 361 ECE 362	Data Communications Data Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
ECE 363	Multimedia Communication	(3 Credits)	ECE361
ECE 367	Random Signals and Processes	(3 Credits)	ECE343, ECE344, STA201
ECE 443 ECE 444	Optical Communications Optical Communications Laboratory	(3 Credits) (1.5 Credits)	ECE309, ECE341, ECE342
ECE 447	Satellite Communications (with Laboratory)	(3 Credits)	ECE341, ECE342
ECE 449	High Performance Communication Networks	(3 Credits)	ECE361
ECE 451	Telecommunication Policy and Management	(3 Credits)	ECE341, ECE342
ECE 453 ECE 454	LAN Switching and WAN Technologies LAN Switching and WAN Technologies Laboratory	(3 Credits) (1.5 Credits)	ECE465
ECE 455 ECE 456	Fundamentals of Wireless LANs Fundamentals of Wireless LANs Laboratory	(3 Credits) (1.5 Credits)	ECE361
ECE 463	Protocol Engineering	(3 Credits)	ECE361
ECE 465 ECE 466	Computer Networks Computer Networks Laboratory	(3 Credits) (1.5 Credits)	ECE361
ECE 477	Fiber Optic Networks	(3 Credits)	ECE341, ECE342
ECE 479	Wireless Sensor Networks	(3 Credits)	ECE341, ECE342
ECE 481	Mobile Networks and Services	(3 Credits)	ECE361, ECE441
ECE 483	Network and Cyber Security	(3 Credits)	ECE361
ECE 485	Software Define Networks	(3 Credits)	ECE361
ECE 487	Antennas and Propagation	(3 Credits)	ECE341, ECE342
ECE 494	Special topic in Communication and Network	(3 Credits)	Set by department
*Interdisciplinary/Emerging Topics*
Course Code and Title		Credits	Prerequisite
ECE 221	Energy Conversion I	(3 Credits)	ECE203, ECE204
ECE 223 ECE 224	Energy Conversion II Energy Conversion Laboratory	(3 Credits) (1.5 Credits)	ECE221 ECE221
ECE 303 ECE 304	Measurement and Instrumentation Measurement and Instrumentation Laboratory	(3 Credits) (1.5 Credits)	ECE203, ECE204
ECE 305 ECE 306	Control Systems Control Systems Laboratory	(3 Credits) (1.5 Credits)	ECE243
CSE 330	Numerical Methods (with laboratory)	(3 Credits)	CSE161, CSE162, MAT120
ECE 371	Introduction to Biomedical Engineering	(3 Credits)	CHE110, Biology (Higher Secondary or Equivalent level)
ECE 385	Machine Learning (with Laboratory)	(3 Credits)	STA201, MAT216, CSE161, CSE162
ECE 401	Internship	(Non- Credit)	Set by department
ECE 461	Biomedical Instrumentation	(3 Credits)	ECE343, ECE344
ECE 462	Introduction to Photonics	(3 Credits)	ECE207, ECE208, ECE209
ECE 464	Nanotechnology	(3 Credits)	ECE207, ECE208, ECE209
ECE 470	Industrial Automation and Robotics	(3 Credits)	ECE365, ECE366
ECE 471	Introduction to Biomedical Imaging and Image Analysis	(3 Credits)	ECE343, ECE344
ECE 473	Advanced Magnetic Resonance Imaging and Applications	(3 Credits)	ECE343, ECE344
ECE 488	Data Science: Big Data and Analytics (with Laboratory)	(3 Credits)	STA201, MAT216, CSE161, CSE162
ECE 489	IoT for Critical Infrastructures (with Laboratory)	(3 Credits)	EEE365, EEE366
ECE 490	Special Topics	(3 Credits)	Set by department
ECE 491	Independent Study	(3 Credits)	Set by department/Instructor
ECE 498	Directed Research	(3 Credits)	Set by department/Instructor

BSECE curriculum - version V2 (Student intake from Summer 2018 to Fall 2019)

UNIVERSITY CORE (General Education –GED) 39 Credits
Course Code and Title		Credits	Prerequisite
*Writing (2 courses - 6 credits)*
ENG 101	English Fundamentals	(3 Credits)
ENG 102	English Composition	(3 Credits)	ENG 101
*Math and Sciences (4 courses - 12 credits)*
MAT 110	Mathematics I	(3 Credits)
PHY 111	Principles of Physics I (with Laboratory)	(3 Credits)
STA 201	Elements of Statistics and Probability	(3 Credits)
CHE 110	Principles of Chemistry (with Laboratory)	(3 Credits)
*Arts, Humanities, Social Sciences, Business (Minimum 7 courses – 21 credits*)
EMB 101/ DEV 101	Emergence of Bangladesh/ Bangladesh Studies	(3 Credits)
HUM 103	Ethics and Culture	(3 Credits)
BNG 103	Bangla Language and Literature	(3 Credits)
ENV 103	Elements of Environmental Sciences	(3 Credits)
ECO 105	Fundamentals of Economics	(3 Credits)
ACT 201	Financial Accounting	(3 Credits)
MGT 211	Principles of Management	(3 Credits)
SCHOOL CORE 16 Credits
Course code and Title		Credits	Prerequisite
MAT 110	Mathematics I *	(3 Credits)
MAT 120	Mathematics II	(3 Credits)	MAT 110
MAT 215	Mathematics III	(3 Credits)	MAT 120
MAT 216	Mathematics IV	(3 Credits)	MAT 120
PHY 111	Principles of Physics I (with laboratory) *	(3 Credits)
PHY 112	Principles of Physics II (with laboratory)	(3 Credits)	PHY 111
CHE 110	Principles of Chemistry (with laboratory) *	(3 Credits)
STA 201	Elements of Statistics and Probability *	(3 Credits)
CSE 161	Computer Programming	(3 Credits)
CSE 162	Computer Programming Laboratory	(1 Credit)
* Credits counted toward University Core (GED)
PROGRAM CORE 63 Credits
Course Code and Title		Credits	Prerequisite
CSE 161 CSE 162	Computer Programming Computer Programming Laboratory	(3 Credits) (1 credit)
ECE 201 ECE 202	Electrical Circuits I Electrical Circuits I Laboratory	(3 Credits) (1.5 Credits)	PHY111, MAT110
ECE 203 ECE 204	Electrical Circuits II Electrical Circuits II Laboratory	(3 Credits) (1.5 Credits)	ECE201, ECE202, MAT120
ECE 205 ECE 206	Electronic Circuits I Electronic Circuits I Laboratory	(3 Credits) (1.5 Credits)	ECE203, ECE204
ECE 207 ECE 208	Electronic Circuits II Electronic Circuits II Laboratory	(3 Credits) (1.5 Credits)	ECE205, ECE206
ECE 209	Semiconductor Device Physics	(3 Credits)	ECE205, ECE206
ECE 241	Electromagnetic Waves and Fields	(3 Credits)	ECE203, MAT216, PHY112
ECE 243	Signals and Systems	(3 Credits)	ECE203, MAT216
ECE 301 ECE 302	Digital Electronics Digital Electronics Laboratory	(3 Credits) (1.5 Credits)	ECE205, ECE206
ECE 341 ECE 342	Introduction to Communication Engineering Introduction to Communication Engineering Laboratory	(3 Credits) (1.5 Credits)	ECE241, ECE243, STA201
ECE 343 ECE 344	Digital Signal Processing Digital Signal Processing Laboratory	(3 Credits) (1.5 Credits)	ECE243, CSE161, CSE162
ECE 349 ECE 350	Microwave Engineering Microwave Engineering Laboratory	(3 Credits)	ECE341, ECE342
ECE 365 ECE 366	Microprocessors Microprocessors Laboratory	(3 Credits) (1.5 Credits)	CSE161,CSE162, EEE301, ECE302
ECE 411 ECE 412	VLSI Design VLSI Design Laboratory	(3 Credits) (1.5 Credits)	ECE209, ECE301, ECE302
ECE 441 ECE 442	Wireless and Mobile Communications Wireless and Mobile Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
ECE 445 ECE 446	Digital Communications Digital Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
** Credits counted toward School Core
FINAL YEAR DESIGN PROJECT 4.5 Credits
Course Code and Title		Credits	Prerequisite
ECE 402P	Final Year Design Project	(1.5 Credits)	MGT211, ACT201, ECE343, ECE344, ECE365, ECE366, ECE411, ECE412, (ECE441/ ECE445), (ECE442/ECE446 ), Minimum 100 credit hours completed
ECE 402D	Final Year Design Project	(1.5 Credits)	ECE400P
ECE 402C	Final Year Design Project	(1.5 Credits)	ECE400C
PROGRAM ELECTIVES 13.5 Credits - Minimum 9 credits (3 theory courses) must be from one of the following areas (*Electronics, Communication and Network,* but excluding Interdisciplinary/ Emerging Topics) chosen as specialization. - The remaining credits may be taken from any of the following areas - Students must take relevant laboratory course, if any, associated with any theory courses
*Electronics*
Course Code and Title		Credits	Prerequisite
ECE 403	Properties of Electronic Materials	(3 Credits)	ECE241, ECE209
ECE 405	Optoelectronic Devices	(3 Credits)	ECE309
ECE 407	Hetero-structure Devices	(3 Credits)	ECE309
ECE 409	Solar Cell and Systems	(3 Credits)	ECE309
ECE 410	Computer Architecture	(3 Credits)	ECE301, ECE302
ECE 413 ECE 414	Digital System Design Digital System Design Laboratory	(3 Credits) (1.5 Credits)	ECE301, ECE302
ECE 415	Analog Integrated Circuit Design	(3 Credits)	ECE207, ECE208
ECE 421 ECE 422	Power Electronics Power Electronics Laboratory	(3 Credits) (3 Credits)	ECE207, ECE209
ECE 493	Special topic in Electronics	(3 Credits)	Set by department
*Communication and Network*
Course Code and Title		Credits	Prerequisite
ECE 347	Telecommunication Switching Systems	(3 Credits)	ECE341, ECE342
ECE 361 ECE 362	Data Communications Data Communications Laboratory	(3 Credits) (1.5 Credits)	ECE341, ECE342
ECE 363	Multimedia Communication	(3 Credits)	ECE361
ECE 367	Random Signals and Processes	(3 Credits)	ECE343, ECE344, STA201
ECE 443 ECE 444	Optical Communications Optical Communications Laboratory	(3 Credits) (1.5 Credits)	ECE309, ECE341, ECE342
ECE 447	Satellite Communications (with Laboratory)	(3 Credits)	ECE341, ECE342
ECE 449	High Performance Communication Networks	(3 Credits)	ECE361
ECE 451	Telecommunication Policy and Management	(3 Credits)	ECE341, ECE342
ECE 453 ECE 454	LAN Switching and WAN Technologies LAN Switching and WAN Technologies Laboratory	(3 Credits) (1.5 Credits)	ECE465
ECE 455 ECE 456	Fundamentals of Wireless LANs Fundamentals of Wireless LANs Laboratory	(3 Credits) (1.5 Credits)	ECE361
ECE 463	Protocol Engineering	(3 Credits)	ECE361
ECE 465 ECE 466	Computer Networks Computer Networks Laboratory	(3 Credits) (1.5 Credits)	ECE361
ECE 477	Fiber Optic Networks	(3 Credits)	ECE341, ECE342
ECE 479	Wireless Sensor Networks	(3 Credits)	ECE341, ECE342
ECE 481	Mobile Networks and Services	(3 Credits)	ECE361, ECE441
ECE 483	Network and Cyber Security	(3 Credits)	ECE361
ECE 485	Software Define Networks	(3 Credits)	ECE361
ECE 487	Antennas and Propagation	(3 Credits)	ECE341, ECE342
ECE 494	Special topic in Communication and Network	(3 Credits)	Set by department
*Interdisciplinary/Emerging Topics*
Course Code and Title		Credits	Prerequisite
ECE 221	Energy Conversion I	(3 Credits)	ECE203, ECE204
ECE 223 ECE 224	Energy Conversion II Energy Conversion Laboratory	(3 Credits) (1.5 Credits)	ECE221 ECE221
ECE 303 ECE 304	Measurement and Instrumentation Measurement and Instrumentation Laboratory	(3 Credits) (1.5 Credits)	ECE203, ECE204
ECE 305 ECE 306	Control Systems Control Systems Laboratory	(3 Credits) (1.5 Credits)	ECE243
CSE 330	Numerical Methods (with laboratory)	(3 Credits)	CSE161, CSE162, MAT120
ECE 371	Introduction to Biomedical Engineering	(3 Credits)	CHE110, Biology (Higher Secondary or Equivalent level)
ECE 385	Machine Learning (with Laboratory)	(3 Credits)	STA201, MAT216, CSE161, CSE162
ECE 401	Internship	(Non- Credit)	Set by department
ECE 461	Biomedical Instrumentation	(3 Credits)	ECE343, ECE344
ECE 462	Introduction to Photonics	(3 Credits)	ECE207, ECE208, ECE209
ECE 464	Nanotechnology	(3 Credits)	ECE207, ECE208, ECE209
ECE 470	Industrial Automation and Robotics	(3 Credits)	ECE365, ECE366
ECE 471	Introduction to Biomedical Imaging and Image Analysis	(3 Credits)	ECE343, ECE344
ECE 473	Advanced Magnetic Resonance Imaging and Applications	(3 Credits)	ECE343, ECE344
ECE 488	Data Science: Big Data and Analytics (with Laboratory)	(3 Credits)	STA201, MAT216, CSE161, CSE162
ECE 489	IoT for Critical Infrastructures (with Laboratory)	(3 Credits)	EEE365, EEE366
ECE 490	Special Topics	(3 Credits)	Set by department
ECE 491	Independent Study	(3 Credits)	Set by department/Instructor
ECE 498	Directed Research	(3 Credits)	Set by department/Instructor

BSECE curriculum - version V3 (Student intake from Spring 2020 and onward)

UNIVERSITY CORE (General Education –GED) 39 Credits
Course Code and Title		Credits	Prerequisite
*Writing (2 courses - 6 credits)*
ENG 101	English Fundamentals	(3 Credits)
ENG 102	English Composition	(3 Credits)	ENG 101
*Math and Sciences (4 courses - 12 credits)*
MAT 110	Mathematics I	(3 Credits)
PHY 111	Principles of Physics I (with Laboratory)	(3 Credits)
STA 201	Elements of Statistics and Probability	(3 Credits)
CHE 110	Principles of Chemistry (with Laboratory)	(3 Credits)
*Arts, Humanities (Minimum 3 courses – 9 credits*)
HUM 103	Ethics and Culture	(3 Credits)
BNG 103	Bangla Language and Literature	(3 Credits)
*Any one (1) course from the following:*		(3 Credits)
ENG 113	Introduction to English Poetry
ENG 114	Introduction to English Drama
ENG 115	Introduction to English Prose
HUM 101	World Civilization and Culture
HUM102	Introduction to Philosophy
HST 102	The Modern World
HST 103	History of Bangladesh
ARC 122	History of Art and Architecture
ARC 294	Photography
*Social Sciences, Business (Minimum 6 courses – 18 credits*)
EMB 101	Emergence of Bangladesh	(3 Credits)
*Any one (1) course from the following:*		(3 Credits)
BUS 101	Introduction to Business
BUS 201	Business and Human Communication
ECO 105	Fundamentals of Economics
POL 101	Introduction to Political Science
ANT 101/ ANT 102	Introduction to Anthropology
SOC 101	Introduction to Sociology
PSY 101	Introduction to Psychology
SOC 201/ ANT 202	Social Inequality
ANT 342	Body and Society
ANT 351	Gender and Development
*Engaging Communities Seeking Transformation (ECST) (Minimum 1 course - 3 credits)*
*Any one (1) course from the following:*		(3 Credits)
CST 301	For the Love of Food
CST 302	The Pursuit of Wellbeing
CST 303	Law for Life, Peace and Justice
CST 304	Demystifying Documentaries: Truth, Ethics and Storytelling in Non-Fiction Filmmaking
CST 305	Inhabiting and Building our World
*GED Open Elective (Minimum 1 course - 3 credits)*
Any one (1) non-overlapping 3-credit course from the above listed Art, Humanities, Social Science, Business, and ECST group of GED
SCHOOL CORE 18 Credits
Course code and Title		Credits	Prerequisite
MAT 110	Mathematics I *	(3 Credits)
MAT 120	Mathematics II	(3 Credits)	MAT 110
MAT 215	Mathematics III	(3 Credits)	MAT 120
MAT 216	Mathematics IV	(3 Credits)	MAT 120
PHY 111	Principles of Physics I (with laboratory) *	(3 Credits)
PHY 112	Principles of Physics II (with laboratory)	(3 Credits)	PHY 111
CHE 110	Principles of Chemistry (with laboratory) *	(3 Credits)
STA 201	Elements of Statistics and Probability *	(3 Credits)
ECE 359	Engineering Project Management	(3 Credits)	ENG102, HUM103, Minimum 65 credit hours completed
ECE 369	Professional Practice, Engineers and Society	(3 Credits)	ENG102, HUM103, Minimum 65 credit hours completed
* Credits counted toward University Core (GED)
PROGRAM CORE 63 Credits
Course Code and Title		Credits	Prerequisite
ECE 101 ECE 101L	Electrical Circuits I Electrical Circuits I Laboratory	(3 Credits) (1 Credit)	PHY111, MAT110
ECE 103	Computer Programming (with laboratory)	(3 Credits)
ECE 203 ECE 203L	Electrical Circuits II Electrical Circuits II Laboratory	(3 Credits) (1 Credit)	ECE101, ECE101L, MAT120
ECE 205 ECE 205L	Electronic Circuits I Electronic Circuits I Laboratory	(3 Credits) (1 Credit)	ECE203, ECE203L
ECE 241	Electromagnetic Waves and Fields	(3 Credits)	ECE203, MAT216, PHY112
ECE 243	Signals and Systems	(3 Credits)	ECE203, ECE203L, MAT216
ECE 282	Numerical Techniques	(1 Credit)	ECE103, MAT120
ECE 283 ECE 283L	Digital Logic Design Digital Logic Design Laboratory	(3 Credits) (1 Credit)	ECE205, ECE205L
ECE 305 ECE 305L	Control Systems Control Systems Laboratory	(3 Credits) (1 Credit)	ECE243
ECE 308 ECE 308L	Electronic Circuits II Electronic Circuits II Laboratory	(3 Credits) (1 Credit)	ECE205, ECE205L
ECE 309	Semiconductor Device Physics	(3 Credits)	ECE205, ECE205L
ECE 341 ECE 341L	Introduction to Communication Engineering Introduction to Communication Engineering Laboratory	(3 Credits) (1 Credit)	ECE241, ECE243, STA201
ECE 343 ECE 343L	Digital Signal Processing Digital Signal Processing Laboratory	(3 Credits) (1 Credit)	ECE243, ECE282
ECE 359	Engineering Project Management **	(3 Credits)	ENG102, HUM103, Minimum 65 credit hours completed
ECE 369	Professional Practice, Engineers and Society **	(3 Credits)	ENG102, HUM103, Minimum 65 credit hours completed
ECE 373 ECE 373L	Embedded Systems Design Embedded Systems Design Laboratory	(3 Credits) (1 Credit)	ECE103, ECE283, ECE283L
ECE 382	Modelling and Simulation	(1 Credit)	ECE282, ECE305, ECE305L, ECE308, ECE308L
ECE 383	Electronic System Design	(1 Credit)	ECE308, ECE308L, ECE359
ECE 411 ECE 411L	VLSI Design VLSI Design Laboratory	(3 Credits) (1 Credit)	ECE309, ECE283, ECE283L
ECE 441 ECE 441L	Wireless and Mobile Communications Wireless and Mobile Communications Laboratory	(3 Credits) (1 Credit)	ECE341, ECE341L
ECE 445 ECE 445L	Digital Communications Digital Communications Laboratory	(3 Credits) (1 Credit)	ECE341, ECE341L
** Credits counted toward School Core
FINAL YEAR DESIGN PROJECT 4 Credits
Course Code and Title		Credits	Prerequisite
ECE 499P	Final Year Design Project	(1 Credit)	ECE305, ECE305L, ECE341, ECE341L, ECE343, ECE343L, ECE359, ECE369, ECE373, ECE373L, ECE382, ECE383, (ECE441/ ECE445), (ECE441L/ECE445L ) Minimum 100 credit hours completed
ECE 499D	Final Year Design Project	(1.5 Credits)	ECE499P
ECE 499C	Final Year Design Project	(1.5 Credits)	ECE499D
PROGRAM ELECTIVES 12 Credits - Minimum 9 credits (3 theory courses) must be from one of the following areas (*Electronics, Communication and Network*, but excluding Interdisciplinary/ Emerging Topics) chosen as specialization. - The remaining credits may be taken from any of the following areas - Students must take relevant laboratory course, if any, associated with any theory courses
*Electronics*
Course Code and Title		Credits	Prerequisite
ECE 403	Properties of Electronic Materials	(3 Credits)	ECE241, ECE309
ECE 405	Optoelectronic Devices	(3 Credits)	ECE309
ECE 407	Hetero-structure Devices	(3 Credits)	ECE309
ECE 409	Solar Cell and Systems	(3 Credits)	ECE309
ECE 410	Computer Architecture	(3 Credits)	ECE283, ECE283L
ECE 413	Digital System Design (with Laboratory)	(3 Credits)	ECE283, ECE283L
ECE 415	Analog Integrated Circuit Design	(3 Credits)	ECE308, ECE308L
ECE 421	Power Electronics (with Laboratory )	(3 Credits)	ECE308, ECE308L
ECE 493	Special topic in Electronics	(3 Credits)	Set by department
*Communication and Network*
Course Code and Title		Credits	Prerequisite
ECE 347	Telecommunication Switching Systems	(3 Credits)	ECE341, ECE341L
ECE 349	Microwave Engineering (with Laboratory)	(3 Credits)	ECE341, ECE341L
ECE 361	Data Communications (with Laboratory)	(3 Credits)	ECE341, ECE341L
ECE 363	Multimedia Communication	(3 Credits)	ECE361
ECE 367	Random Signals and Processes	(3 Credits)	ECE343, ECE343L, STA201
ECE 443	Optical Communications (with Laboratory)	(3 Credits)	ECE309, ECE341, ECE341L
ECE 447	Satellite Communications (with Laboratory)	(3 Credits)	ECE341, ECE341L
ECE 449	High Performance Communication Networks	(3 Credits)	ECE361
ECE 451	Telecommunication Policy and Management	(3 Credits)	ECE341, ECE341L
ECE 453	LAN Switching and WAN Technologies (with Laboratory)	(3 Credits)	ECE465
ECE 455	Fundamentals of Wireless LANs (with Laboratory)	(3 Credits)	ECE361
ECE 463	Protocol Engineering	(3 Credits)	ECE361
ECE 465	Computer Networks (with Laboratory)	(3 Credits)	ECE361
ECE 477	Fiber Optic Networks	(3 Credits)	ECE341, ECE341L
ECE 479	Wireless Sensor Networks	(3 Credits)	ECE341, ECE341L
ECE 481	Mobile Networks and Services	(3 Credits)	ECE361, ECE441
ECE 483	Network and Cyber Security	(3 Credits)	ECE361
ECE 485	Software Define Networks	(3 Credits)	ECE361
ECE 487	Antennas and Propagation	(3 Credits)	ECE341, ECE341L
ECE 494	Special topic in Communication and Network	(3 Credits)	Set by department
*Interdisciplinary/Emerging Topics*
Course Code and Title		Credits	Prerequisite
ECE 221 ECE 221L	Energy Conversion I Energy Conversion I Laboratory	(3 Credits) (1 Credit)	ECE203, ECE203L
ECE 303	Measurement and Instrumentation (with Laboratory)	(3 Credits)	ECE203, ECE203L
ECE 371	Introduction to Biomedical Engineering	(3 Credits)	CHE110, Biology (Higher Secondary or Equivalent level)
ECE 385	Machine Learning (with Laboratory)	(3 Credits)	STA 201, MAT 216, ECE 103
ECE 461	Biomedical Instrumentation	(3 Credits)	ECE343, ECE343L
ECE 462	Introduction to Photonics	(3 Credits)	ECE308, ECE308L, ECE309
ECE 464	Nanotechnology	(3 Credits)	ECE308, ECE308L, ECE309
ECE 470	Industrial Automation and Robotics	(3 Credits)	ECE373, ECE373L
ECE 471	Introduction to Biomedical Imaging and Image Analysis	(3 Credits)	ECE343, ECE343L
ECE 473	Advanced Magnetic Resonance Imaging and Applications	(3 Credits)	ECE343, ECE343L
ECE 488	Data Science: Big Data and Analytics (with Laboratory)	(3 Credits)	STA201, MAT216, ECE103
ECE 489	IoT for Critical Infrastructures (with Laboratory)	(3 Credits)	ECE373, ECE373L
ECE 490	Special Topics	(3 Credits)	Set by department
ECE 491	Independent Study	(3 Credits)	Set by department/Instructor
ECE 497	Internship	(3 Credits)	Set by department
ECE 498	Directed Research	(3 Credits)	Set by department/Instructor

Recommended Course Sequence

BSECE Version V1 Recommended Course Sequence (Student Intake from Summer 2018 to Fall 2019)

YEAR	SEMESTER	RECOMMENDED COURSES
1^st Year	1^st Semester	ENG101 (GED)	MAT110 (GED)	PHY111 (GED)	CHE 110 (GED)
	2^nd Semester (RS)	ECE 201 ECE 202	MAT 120	PHY112	CSE161 CSE162
	3^rd Semester	ENG102 (GED)	HUM 103 (GED)	DEV 101/ EMB101 (GED)
2^nd Year	4^th Semester	ECE 203 ECE204	MAT 215	STA201 (GED)	ECO 105
	5^th Semester	ECE 205 ECE 206	MAT 216	ENV 103	ACT201
	6^th Semester	ECE241	ECE 243	ECE301 ECE302	MGT211
3^rd Year	7^th Semester	ECE 207 ECE 208	ECE 209	ECE341 ECE342	GED OPEN ELECTIVE I
	8^th Semester	ECE 349 ECE 350	ECE 343 ECE 344	ECE 365 ECE 366
	9^th Semester	ECE 411 ECE 412	ECE 441 ECE 442	ECE 445 ECE 446
4^th Year	10^th Semester	ECE 402P [1^st semester]	Program Elective I	Program Elective II
	11^thSemester	ECE 402D [2^nd semester]	Program Elective III	Program Elective IV [ if needed ]
	12^thSemester	ECE 402C [3^rd semester]	Program Elective V [ if needed ]

BSECE Version V2 Recommended Course Sequence (Student Intake from Summer 2018 to Fall 2019)

YEAR	SEMESTER	RECOMMENDED COURSES
1^st Year	1^st Semester	ENG101 (GED)	MAT110 (GED)	PHY111 (GED)	CHE 110 (GED)
	2^nd Semester (RS)	ECE 201 ECE 202	MAT 120	PHY112	CSE161 CSE162
	3^rd Semester	ENG102 (GED)	HUM 103 (GED)	DEV 101/ EMB101 (GED)	BNG 103
2^nd Year	4^th Semester	ECE 203 ECE204	MAT 215	STA201 (GED)	ECO 105
	5^th Semester	ECE 205 ECE 206	MAT 216	ENV 103	ACT201
	6^th Semester	ECE241	ECE 243	ECE301 ECE302	MGT211
3^rd Year	7^th Semester	ECE 207 ECE 208	ECE 209	ECE341 ECE342
	8^th Semester	ECE 349 ECE 350	ECE 343 ECE 344	ECE 365 ECE 366
	9^th Semester	ECE 411 ECE 412	ECE 441 ECE 442	ECE 445 ECE 446
4^th Year	10^th Semester	ECE 402P [1^st semester]	Program Elective I	Program Elective II
	11^thSemester	ECE 402D [2^nd semester]	Program Elective III	Program Elective IV [ if needed ]
	12^thSemester	ECE 402C [3^rd semester]	Program Elective V [ if needed ]

BSECE Version V3 Recommended Course Sequence (Student Intake from Spring 2020 and onwards)

YEAR	SEMESTER	RECOMMENDED COURSES
1^st Year	1^st Semester	ENG 101 (GED)	MAT 110 (GED)	PHY 111 (GED)	CHE 110 (GED)
	2^nd Semester	ECE 101 ECE 101L	MAT 120	PHY 112	ECE 103 ECE 103IL
	3^rd Semester (RS)	ENG 102 (GED)	HUM 103 (GED)	EMB 101 (GED)	BNG 103 (GED)
2^nd Year	4^th Semester	ECE 203 ECE 203L	MAT 215	STA 201 (GED)	GED (Art, Humanities)
	5^th Semester	ECE 205 ECE 205L	MAT 216	ECE 282	GED (Social Science )
	6^th Semester	ECE 241	ECE 243	ECE 283 ECE 283L	GED (ECST)
3^rd Year	7^th Semester	ECE 305 ECE 305L	ECE 308 ECE 308L	ECE 309	ECE 359
	8^th Semester	ECE 341 ECE 341L	ECE 369	ECE 382	ECE 383	ECE 341 ECE 341L
	9^th Semester	ECE 343 ECE 343L	ECE 373 ECE 373L	ECE 441 ECE 441L
4^th Year	10^th Semester	ECE 499P [Semester 1]	ECE 445 ECE 445L	Program Elective I	GED Open Elective (Art, Humanities / Social Science / ECST)
	11^thSemester	ECE 499D [Semester 2]	Program Elective II	Program Elective III
	12^thSemester	ECE 499C [Semester 3]	Program Elective IV

Course Description

BS ECE General Education (Language, Arts, Humanities, Social Sciences, Business And Otehrs)

ENG 101 English Fundamentals

A. Course General Information:

Course Code:	ENG101
Course Title:	English Fundamentals
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	GED
Type:	Required, Language/Writing, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
The English Fundamentals (ENG 101) course covers all four skills of English language required for students’ basic academic and professional needs. Classroom tasks aim at promoting specific language skills (e.g. analyzing reading texts, writing academic papers, delivering PowerPoint presentations, etc.). The core objectives are integrated through different lessons. Speaking classes help students improve their Communication Skills. The Reading & Writing classes have a good number of selected reading materials covering a wide range of topics to help students develop Global Thinking and basic Quantitative Skills. Two different types of essays - Argumentative Essay and Response Essay, and presentations such as, Poster presentation, Advertisement Presentation, Debate on Climate Change, and Argumentative Presentation, aim at improving Critical Thinking in students

C. Course Outcomes:
Upon Successful completion of the course, students will be able to:
• Apply reading skills such as skimming and scanning
• Enhance vocabulary stock (from reading materials and discussion) and analyze their contextual meanings
• Comprehend and analyze critically on selected topics and express opinions with proper examples and evidence in both writing and speaking tasks
• Write well-organized academic essays maintaining coherence and unity
• Prepare and deliver formal speeches individually or in group by maintaining appropriate art of speaking with correct pronunciation, pitch, stress, intonation, etc
• Demonstrate improvement in group effectiveness: sharing the floor, sharing tasks, acknowledging the contributions of others, giving and rEEEiving constructive feedback

D. Suggested Text and Reference Book:
• C. RICHARDS, "FUNDAMENTALS OF ENGLISH"

ENG 102 English Composition

A. Course General Information:

Course Code:	ENG102
Course Title:	English Composition
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	GED
Type:	Required, Language/Writing, Lecture
Prerequisites:	ENG102 English Fundamentals
Co-requisites:	None

B. Course Catalog Description (Content):
The main focus of this course is writing. The course attempts to enhance students’ writing abilities through diverse writing skills and techniques. Students will be introduced to aspects of expository writing: personalized/ subjective and analytical/persuasive. In the first category, students will write essays expressing their subjective viewpoints. In the second category students will analyze issues objectively, sticking firmly to factual details. This course seeks also to develop students’ analytical abilities so that they are able to produce works that are critical and thought provoking.

C. Course Outcomes:
It is expected that after completing this course, students will be able to:
• Exercise academic reading skills in distinguishing styles with respect to formality, abstraction, word choice and multiple perspectives
• Evaluate articles about social issues using Critical Reading Skills
• Gain first-hand knowledge of research methods
• Investigate and present a problem based project
Use effective communicative strategies and skills (both in spoken and written form) in different contexts

D. Suggested Text and Reference Book:
• STEINBECK, "THE PEARL", 1ST ED., PENGUIN BOOKS, 2000.
• Thomas Cruisius and Carolyn Channell, "Aims of Argument", 3rd edition, Mayfield Publishing Company, 2000.
• Betty Mattix Dietsch, "Reasoning & Writing Well", McGraw-Hill, 2003.

BNG 103 Bangla Language and Literature

A. Course General Information:

Course Code:	BNG103
Course Title:	Bangla Language andLiterature
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	GED
Type:	Required, Language/Arts and Humanities, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):

C. Suggested Text and Reference Book:

HUM 103 Ethics and Culture

A. Course General Information:

Course Code:	HUM103
Course Title:	Ethics and Culture
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	GED
Type:	Required, Arts and Humanities, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):

This course introduces the students to principles and concepts of ethics and their application to our personal life. It establishes a basic understanding of social responsibility, relationship with social and cultural aspects, and eventually requires each student to develop a framework for making ethical decision in his work. Students learn a systematic approach to moral reasoning. It focuses on problems associated with moral conflicts, justice, the relationship between rightness and goodness, objective vs. subjective, moral judgment, moral truth and relativism. It also examines personal ethical perspectives as well as social cultural norms and values in relation to their use in our society. Topics include: truth telling and fairness, objectivity vs. subjectivity, privacy, confidentiality, bias, economic pressures and social responsibility, controversial and morally offensive content, exploitation, manipulation, special considerations (i.e. juveniles, courts) and professional and ethical work issues and decisions. On conclusion of the course, the students will be able to identify and discuss professional and ethical concerns, use moral reasoning skills to examine, analyze and resolve ethical dilemmas and distinguish differences and similarities among legal, ethical and moral perspectives.

C. Suggested Text and Reference Book:
• B. Ingram and J. A. Parks, "Understanding Ethics", Alpha, 2002.
• John R. Boatright, "Ethics and the Conduct of Business", 4th edition, Pearson Education, New Delhi, 2003.
• Manuel G. Velasquez, "Business Ethics: Concepts and Cases", 5th Edition, Pearson Education, New Delhi, 2002.
• William Lillie, "An Introduction to Ethics", 3rd Edition, Methuen & Co. Ltd. London, 1964. 4. Donald C. Abel, "Fifty Readings in Philosophy", 2nd Edition, McGraw-Hill, New York, 2004.
• Nigel Warburton, "Philosophy Basics", 3rd Edition, Routledge, 1999.
• Peter Singer, "Practical Ethics", 2nd Edition, The Press Syndicate of the University of Cambridge, 2000.

EMB 101 Emergence of Bangladesh

A. Course General Information:

Course Code:	EMB101
Course Title:	Emergence of Bangladesh
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	GED
Type:	Required, Social Sciences, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
The Emergence of Bangladesh course has been designed for students to understand their historic and cultural roots as citizens of this land. It documents the struggles against colonial oppression, political and ethnic subordination, cultural domination and economic exploitation over the last two centuries that have eventually given rise to our independent country. The course traces the history of Bengal from the British conquest through treachery and military might, the pillage and plunder they carried out, the de-industrialization and impoverishment that resulted from their policies, to the active political struggles (both armed and non-violent) for freedom and independence, the development of a national consciousness, the false hopes of Pakistan, the struggles against the oppression of the military-bureaucratic state of Pakistan to finally the genocide we faced and subsequently our victory as an independent Bangladesh.

C. Course Objectives
The course intends to equip students with factual knowledge and analytical skills to learn and critically appreciate the antEEEdents of the history, politics, and economy of Bangladesh. The course seeks to assist students in using such analytical knowledge of their historical roots to better understand and relate to people‟s struggles in different countries and contexts to build more democratic, inclusive, multi-cultural societies that pursue social, ecological and gender justice. Students will also be encouraged to reflect on the principles of democracy, economic justice, secularism and respect for ethnic differences that united us to struggle for a free country and relate such principles to formulating their own vision for the future.
D. Course Outcomes:
On successful completion of the course, students are expected to be able to:
• Describe specific stages of Bangladesh‟s political history, through the British colonial period and the Pakistan period till the emergence of Bangladesh.
• Identify the major struggles for economic and political freedom during the British and Pakistan periods. • Understand the economic exploitation and the extraction of surplus by both the British and the Pakistan state as well as the oppression of the zamindars.
• Analyze how the capitalist development model pursued by Pakistan created the income and regional inequalities that led to its own destruction.
• Understand our War of Independence both in terms of the genocide that Pakistan committed as well as the political and armed struggles we engaged in.
• Articulate how the four principles of the Bangladesh constitution – socialism, democracy, secularism and nationalism – provides the basis for envisioning a future Bangladesh.

BSECE Courses: Mathematics And Sciences

MAT 110 Mathematics I Differential Calculus and Co-ordinate Geometry

A. Course General Information:

Course Code:	MAT110
Course Title:	Mathematics I Differential Calculus and Co-ordinate Geometry
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School Core/GED
Type:	Required, Mathematics and Science, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
Differential Calculus: Limits. Continuity and differentiability. Successive differentiation of various types of functions. Leibniz's Theorem. Rolle's theorem. Mean Value theorem. Taylor's theorem in finite and infinite forms. Maclaurin's theorem in finite and infinite forms. Lagrange's form of remainders. Expansion of functions. Evaluation of indeterminate forms by L'Hôpitals rule. Partial differentiation. Euler's theorem. Tangent and normal. Subtangent and subnormal in Cartesian and polar coordinates. Determination of maximum and minimum values of functions and points of inflexion. Application. Curvature. Radius of curvature. Centre of curvature.
Coordinate Geometry: Change of axes. Transformation of coordinates. Simplification of equation of curves. Pair of straight lines. Conditions under which general equations of the second degree may represent a pair of straight lines. Homogeneous equations of the second degree. Angle between the pair of lines. Pair of lines joining the origin to the point of intersection of two given curves. System of circles; orthogonal circles. Radical axes, radical centre, properties of radical axes, coaxial circles and limiting points. Equations of ellipse and hyperbola in Cartesian and polar coordinates. Tangent and normal. Pair of tangent. Chord of contact. Chord in terms of its middle points, parametric coordinates. Diameters. Conjugate diameters and their properties. Director circles and asymptotes.
C. Course Objectives and Outcomes:
• To find the rate at which one quantity changes relative to another.
• To understand the concept of limits, continuity, differentiability and optimization.
• To learn some of the important theorems with applications.
• To provide students with a good understanding of the concepts of two dimensional geometry

D. Suggested Text and Reference Book:
• A Text Book on Coordinate geometry and Vector Analysis by Kosh Mohammad.
• S. L. Loney, "The Elements of Coordinate Geometry", Nelson Thornes
• Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons Inc., 2012.
• Stewart, J. Calculus 8th edition, Cengage Learning, 2016.

MAT 120 Mathematics II Integral Calculus and Differential Equations

A. Course General Information:

Course Code:	MAT120
Course Title:	Mathematics II Integral Calculus and Differential Equations
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School Core
Type:	Required, Mathematics and Science, Lecture
Prerequisites:	MAT 110 Mathematics I
Co-requisites:	None

B. Course Catalog Description (Content):
Integral Calculus: Definitions of integration. Integration by the method of substitution. Integration by parts. Standard integrals. Integration by method of successive reduction. Definite integrals, its properties and use in summing series. Walli's formula. Improper integrals. Beta function and Gamma function. Area under a plane curve in cartesian and polar coordinates. Area of the region enclosed by two curves in cartesian and polar coordinates. Trapezoidal rule. Simpson's rule. Arc lengths of curves in cartesian and polar coordinates, parametric and pedal equations. Intrinsic equations. Volumes of solids of revolution. Volume of hollow solids of revolutions by shell method. Area of surface of revolution.
Ordinary Differential Equations: Degree of order of ordinary differential equations. Formation of differential equations. Solution of first order differential equations by various methods. Solutions of general linear equations of second and higher order with constant coefficients. Solution of homogeneous linear equations. Applications. Solution of differential equations of the higher order when the dependent and independent variables are absent. Solution of differential equations by the method based on the factorization of the operators.

C. Course Objectives and Outcomes:
• To know how to calculate antiderivatives and to understand the relation between derivatives and antiderivatives.
• To learn the applications of Integral Calculus for single variable.
• To provide a platform in obtaining nEEEssary basic information regarding ordinary differential equations.
• To understand the classifications of ordinary differential equations, several methods and techniques to solve these equations.

D. Suggested Text and Reference Book:
• Anton, H. Bivens, I. Davis, S. Calculus 10th edition, John Wiley and Sons Inc., 2012.
• Zill, D.G. A First Course in Differential Equations with Modeling Applications, 9th ed. Brooks/Cole, Cengage Learning, 2009.
• E. Don, Mathematica, Second Edition, McGraw-Hill, 2009 (For Practical)

MAT 215 Mathematics III Complex Variables and Laplace Transformations

A. Course General Information:

Course Code:	MAT215
Course Title:	Mathematics III Complex Variables and Laplace Transformations
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School Core
Type:	Required, Mathematics and Science, Lecture
Prerequisites:	MAT 120 Mathematics II
Co-requisites:	None

B. Course Catalog Description (Content):
Complex Variables: Complex number systems. General functions of a complex variable. Limits and continuity of a function of complex variables and related theorems. Complex differentiation and Cauchy–Riemann equations. Mapping by elementary functions. Line integral of a complex function. Cauchy's theorem. Cauchy's integral formula. Liouville's theorem. Taylor's and Laurent's theorem. Singular points. Residue. Cauchy's residue theorem. Evaluation of residues. Contour integration. And conformal mapping.
Laplace Transformations: Definition. Laplace transformations of some elementary functions. Sufficient conditions for existence of Laplace transforms. Inverse Laplace transforms. Laplace transforms of derivatives. The unit step function. Periodic function. Some special theorems on Laplace transforms. Partial fractions. Solutions of differential equations by Laplace transforms. Evaluation of improper integrals.

C. Course Objectives and Outcomes:
• To know about complex number system in details.
• To introduce with the basic theorems and their applications in engineering problems.
• To learn Laplace and Inverse Laplace transforms with their applications in solving higher order ordinary differential equations.
D. Suggested Text and Reference Book:
• BROWN, J.W., CHURCHILL, R.V. COMPLEX VARIABLES AND APPLICATIONS, 8TH ED. MCGRAW-HILL, 2009.
• ZILL, D.G. A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING APPLICATIONS, 9TH ED. BROOKS/COLE, CENGAGE LEARNING, 2009.
• KREYSZIG, E. ADVANCED ENGINEERING MATHEMATICS, 10TH ED. JOHN WILEY & SONS INC., 2011.

MAT 216 Mathematics IV Linear Algebra and Fourier Analysis

A. Course General Information:

Course Code:	MAT216
Course Title:	Mathematics IV Linear Algebra and Fourier Analysis
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School Core
Type:	Required, Mathematics and Science, Lecture
Prerequisites:	MAT 215 Mathematics III
Co-requisites:	None

B. Course Catalog Description (Content):
Linear Algebra: Matrices. Algebra of matrices. Adjoint and inverse of a matrix. Elementary transformations of matrices. Rank and Nullity. Normal and canonical forms. Solution of linear equations. Vector spaces, Linear dependence, and independence of vectors. Definition of line, surface and volume integrals. Gradient, divergence and curl of point functions. Various formulae. Gauss's theorem, Stroke's theorem, Green's theorem.
Fourier Analysis: Real and complex form. Finite transform. Fourier integral. Fourier transforms and their uses in solving boundary value problems.

C. Course Objectives and Outcomes:
• To provide students with a good understanding of the concepts and methods of linear algebra.
• To learn about matrices, determinant, vector spaces and linear transformations with applications.
• To understand the theories and applications of Integral Calculus for multivariable and Vector Calculus.
• To know the basic concepts of Fourier series, Fourier integral and Fourier transforms with applications.

D. Suggested Text and Reference Book:
• Anton, H., Rorres, C. Elementary Linear Algebra, Applications Version 11th ed. Wiley 2013
• Kreyszig, E. Advanced Engineering Mathematics, 10th ed. John Wiley & Sons Inc., 2011.
• Brown, J.W., Churchill, R.V. Fourier Series and Boundary Value Problems, 7th ed. McGraw-Hill, 2008.
• Spiegel, M.R. Schaum's Outline of Theory and Problems of Fourier Analysis with Applications to Boundary Value Problems, McGraw-Hill Inc., 1974.

STA 201 Elements of Statistics and Probability

A. Course General Information:

Course Code:	STA201
Course Title:	Elements of Statistics and Probability
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School Core/GED
Type:	Required, Mathematics and Science, Lecture
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
Introduction to Statistics & Representation of Data. Central Tendency & Measures of Dispersion: Mean (Arithmetic, Geometric, Harmonic, Weighted), Median, Mode, Quartiles. Range, Deviation (Quartile, Mean, Standard), Variance, Coefficient of Variation, Skewness, Kurtosis. Correlation & Regression: Correlation, Scatter Diagram, Correlation Coefficient with interpretation. Regression Analysis, Linear Regression Model, Estimation of Parameters, Least Square Regression. Set Theory & Basics of Probability, Bayes' Theorem. Set theory concepts, Relation of set theory with probability, Probability basics (addition, multiplication, simultaneous incidents, dependent/independent incidents etc). Conditional probability (dependent/independent cases), Bayes’ theorem (with application examples). Random Variables, Joint Probability, Marginalization, Expectation of Random Variables. Random variable basics, Product rule of random variables, Joint probability, Basics of marginalization of probability. More on joint distribution (marginalization and other stuff), Basics of conditioning on random variables, Expectation of random variables, Linearity of expectations. Probability Distributions: Discrete Probability distribution basics (Binomial, Poisson, Geometric) with proper graphs. Continuous Probability distribution basics (Normal, Exponential) with proper graphs. Basic ideas of Hypothesis testing and Different kinds of testing. Shannon Entropy & Marginalization of 2 or more Random Variables. Shannon information content, Shannon Entropy. Information divergence, Marginalization of random variables. Conditioning on Random Variables, Bayes' Rule for Random Variables, Conditional Independence. More on conditioning on random variables, Bayes' rule for random variables. Conditional independence, Mutual vs Pairwise independence. Decision Making: Intro to decision making, Maximum Likelihood . Medical Diagnosis Risk. Maximum A Posteriori (MAP) Estimation. Introduction to Different Models: Intro to Hidden Markov Model, Introduction to Naive Bayes Model. Sampling and Review of the Course.

C. Course Objectives and Outcomes
The main objective of the course is to make familiar with the basic concepts of statistics and its applications for life science and engineering students. Attempts will be made to provide a clear, concise understanding of the fundamental features and methods of statistics along with relevant interpretations and applications for conducting quantitative analyses. This course will help students to develop skills in thinking and analyzing a wide range of problem in the field of life science and engineering from a probabilistic and statistical point of view.

At the end of this course, students will be able to:
• Develop fundamental concepts of probability and statistics commonly used in life sciences, engineering and other fields.
• Evaluate various quantities for probability distributions and random variables.
• Perform statistical computations & interpret the outcomes effectively.
• Develop probabilistic and statistical models for some applications, and a Statistical method to a range of problems in life sciences, engineering and other fields.
• Comprehend the theoretical foundations that leads to choosing the appropriate analysis (i.e. hypothesis testing).

D. Suggested Text and Reference Book:
• Applied Statistics for Engineers and Scientists, 3rd edition, Devore J. Farnum N., Duxbury.
• Probability and Statistics in Engineering, 4th edition, William W. Hines, Douglas C. Montgomery, David M. Goldsman and Connie M. Borror, Wiley.
• A First Course in Probability, 9th edition, Sheldon M. Ross (2018).
• Probability and Random Processes, 3rd edition, G. R. Grimmett and D. R. Stirzaker,Oxford University Press (2001)
• Probability and Statistical Inference, 9th edition, R. V. Hogg and E. A. Tanis Prentice Hall, (2007)
• Foundations of Biostatistics, 1st edition. Springer, New York. M. Ataharul Islam, Abdullah Al-Sinha (2018).
• An Introduction to Statistics and Probability, 4th edition, M. Nurul Islam (2017).
• Fundamentals of Probability & Probability Distributions, 4th edition, Manindra Kumar Roy (2014).

PHY 111 Principles of Physics I

A. Course General Information:

Course Code:	PHY111
Course Title:	Principles of Physics I
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 3
Category:	School Core/GED
Type:	Required, Mathematics and Science, Lecture + Laboratory
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
Vectors and scalars, unit vector, scalar and vector products, static equilibrium, Newton's Laws of motion, principles of conservation of linear momentum and energy, friction, elastic and inelastic collisions, projectile motion, uniform circular motion, centripetal force, simple harmonic motion, rotation of rigid bodies, angular momentum, torque, moment of inertia and examples, Newton's Law of gravitation, gravitational field, potential and potential energy. Structure of matter, stresses and strains, Modulii of elasticity Poisson's ratio, relations between elastic constants, work done in deforming a body, bending of beams, fluid motion and viscosity, Bernoulli's Theorem, Stokes' Law, surface tension and surface energy, pressure across a liquid surface, capillarity. Temperature and Zeroth Law of thermodynamics, temperature scales, their propagation, differential equation of wave motion, stationary waves, vibration in strings isotherms, heat capacity and specific heat, Newton's Law of cooling, thermal expansion, First Law of thermodynamics, change of state, Second Law of thermodynamics, Carnot cycle, efficiency, kinetic theory of gases, heat transfer. Waves & & columns, sound wave & its velocity, Doppler effect, beats, intensity & loudness, ultrasonics and its practical applications. Huygens' principle, electromagnetic waves, velocity of light, reflection, refraction, lenses, interference, diffraction, polarization.

C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
• Describe and explain the introductory mechanics principles.
• Apply these principles together with logical reasoning to real life situations.
• Analyze and solve problems with the aids of mathematics.
• Acquire and interpret experimental data to examine the mechanical laws

D. Suggested Text and Reference Book:
• Fundamentals of Physics. Author: Halliday, Resnick & Walker (10th Edition, Extended).
• University Physics by F. W. Sears, M. W. Zemansky and H. D. Young.

PHY 112 Principles of Physics II

A. Course General Information:

Course Code:	PHY112
Course Title:	Principles of Physics II
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 3
Category:	School Core
Type:	Required, Mathematics and Science, Lecture + Laboratory
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
Electric charge, Coulomb's Law, electric field & flux density, Gauss's Law, electric potential, capacitors, steady current, Ohm's law, Kirchhoff's Laws. Magnetic field, Biot-Savart Law, Ampere's Law, electromagnetic induction, Faraday's Law, Lenz's Law, self inductance and mutual inductance, alternating current, magnetic properties of matter, diamagnetism, paramagnetism and ferromagnetism. Maxwell's equations of electromagnetic waves, transmission along wave-guides. Special theory of relativity, length contraction and time dilation, mass-energy relation. Quantum theory, Photoelectric effect, x-rays, Compton effect, dual nature of matter and radiation, Heisenberg uncertainty principle. Atomic model, Bohr's postulates, electron orbits and electron energy, Rutherford nuclear model, isotopes, isobars and isotones, radioactive decay, half-life, alpha, beta and gamma rays, nuclear binding energy, fission and fusion. Fundamentals of solid state physics, lasers, holography.
C. Course Objectives and Outcomes:
By the end of this course, the students will be able to:
• Describe and explain the introductory electricity and magnetism principles i.e. Coulomb's law, Gauss's law, Biot-Savart and Ampere's laws
• Understand the basic concepts of special theory of relativity, atomic model, nuclear and solid state physics
• Apply these principles, together with logical reasoning to real life situations
• Analyze and solve problems with the aids of mathematics
• Acquire and interpret experimental data to examine the laws of electricity and magnetism.

D. Suggested Text and Reference Book:
• Principles of Physics. Author: Halliday, Resnick & Walker (10thedition, International). (Any edition is sufficient. However, the topics may have different section numbers depending on the edition).
• Concepts of Modern Physics by Arthur Beiser.
• Beiser, "Perspectives of Modern Physics", McGraw-Hill, 6th ed., 2002.

CHE 110 Principles of Chemistry

A. Course General Information:

Course Code:	CHE110
Course Title:	Principles of Chemistry
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 3
Category:	School Core/GED
Type:	Required, Mathematics and Science, Lecture + Laboratory
Prerequisites:	None
Co-requisites:	None

B. Course Catalog Description (Content):
Nature of Atoms: Structure of atoms, Dalton’s postulates, J.J. Thompson’s atomic mode, Rutherford’s atomic model, Bohr’s atomic model, Max Planck’s theory of quantum, spectra of hydrogen atom, quantum numbers, concept of orbit and orbital, electronic configuration, Aufbau principle, Pauli’s exclusion principle, Hund’s principle, isotope, isotones, isobars, periodic table, periodic nature of elements etc. Radio Activity: Radioactive elements, nuclear fission, chain reaction, decay Law, α,β,γ ray and their properties, mean life and half-life. Chemical Reaction: types of chemical bonding, chemical reaction classifications, thermochemistry, oxidation reduction, acid and bases, reaction equilibrium, chemical kinetics etc. Gas Law: Ideal gas, Real gas, Charle’s law, Boyel’s Law, ideal gas combined law, kinetic theory of gasses and related mathematical problems. Environmental Chemistry: Environments and its chemistry, environmental Pollution and Its sources, types of environmental pollution and their effects, Atmospheric Chemistry, Aerosols, influence of CFC gases, creation of ozone hole, green house effects etc. Colligative properties: introduction to colligative properties, dilute solution, types of solution, depression of freezing point. Lowering of vapor pressure, elevation of boiling point, Roult’s law, osmotic pressure.

C. Course Objectives and Outcomes:
At the end of this course, students will be able to:
• Understand and be able to explain the general principles, laws and theories of chemistry that are discussed and presented throughout the semester.
• Analyze the importance of intra- and intermolecular attraction to predict trends in physical properties.
• Identify characteristics of acids, bases and salts and solve problems based on their quantitative relationships.
• Identify and balance oxidation – reduction reaction.
• Apply quantitative skill to determine the rate of reaction and its dependence on different factors.
• Develop an awareness of the value of chemistry in our daily life.

D. Suggested Text and Reference Book:
• Ebbing, D. and Gammon, S.D., 2016. General chemistry. Cengage Learning.
• Silberberg, M., 2012. Principles of general chemistry. McGraw-Hill Education.
• Haider, S.Z., 2000. Introduction to modern inorganic chemistry.
• Tuli, G.D. and Bahl, B.S., 2010. Essentials of Physical Chemistry. S Chand & Co Ltd.
• Sharma, K.K. and Sharma, L.K., 2016. A textbook of physical chemistry. Vikas Publishing House.
• Adamson, A., 2012. A textbook of physical chemistry. Elsevier.
• Shoemaker, D.P., Garland, C.W., Nibler, J.W. and Feigerle, C.S., 1996. Experiments in physical chemistry (Vol. 378). New York: McGraw-Hill.
• Mosher, M., 1992. Organic Chemistry. (Morrison, Robert Thornton; Boyd, Robert Neilson).
• Rabinovich, D., 2000. Advanced Inorganic Chemistry, (Cotton, FA; Wilkinson, G.; Murillo, CA; Bochmann, M.).
• Denney, R.C., Jeffery, G.H. and Mendham, J. eds., 1978. Vogel's textbook of quantitative inorganic analysis including elementary instrumental analysis (p. 743). English Language Book Society.

BSECE Program Core Courses

ECE 101 Electrical Circuits I – v3
ECE 201 Electrical Circuits I - v1, v2
ECE 101L Electrical Circuits I Lab – v3
ECE 202 Electrical Circuits I Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE101 ECE101L
Course Title:	Electrical Circuits I Electrical Circuits I Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	PHY 111 Principles of Physics MAT 110 Mathematics I Differential Calculus and Co-ordinate Geometry
Co-requisites:	None
Equivalent Course	EEE 101 Electrical Circuits I ECE 201 Electrical Circuits I - v1, v2 EEE 201 Electrical Circuits I - v1, v2 EEE 101L Electrical Circuits I Laboratory ECE 202 Electrical Circuits I Laboratory (1.5 credits) – v1, v2 EEE 202 Electrical Circuits I Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
The course is designed to acquaint students with basic DC electrical circuits and their working. The Kirchhoff’s laws, node voltage methodology and circuit theorems are used to solve simple DC circuits’ problems. The course then covered the network elements, types of networks & analysis of complex circuits using Mesh current & Nodal voltage method, various circuit theorems such as: Norton’s Theorem, Thevenin’s Theorem, Superposition Theorem and develop an understanding of how to apply these circuit theorems/techniques for solving different types of complex DC circuit problems having dependent and independent voltage and current sources, ability to apply delta-wye conversion techniques to analyze different types of more complex circuits and calculate maximum power transfer for these circuits. The response of first order RC and RL circuits is also analyzed along with step response. Similar to electric circuit, magnetic circuit also analyzed using basic equations and methods to solve magnetic circuit problems. In addition to class lectures, comprehensive mandatory laboratory exercises are also designed so that theoretical knowledge may be coincided with practical.

C. Course Objective:
This course is considered as the backbone to fundamental electrical circuits and analysis. Ability to use the techniques, skills and modern engineering tools nEEEssary for modern engineering practice related to DC circuit applications. The rationale of the course is to enable the students to develop the sound understanding of and ability to design and analyze basic electrical DC circuits. As one of the core courses for the ECE program, the knowledge from the course will be applied in future ECE courses such as AC circuits, Electronic devices. The course allows the use the students to use modern engineering techniques, skills and tools to fulfill practical engineering problems related to DC circuit

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain the fundamental concepts of linear electrical circuit elements and magnetic properties of materials
CO2	Apply different circuit analysis techniques and circuit theorems to solve circuits for unknown quantities
CO3	Interpret the natural and transient responses of the first order electric systems involving capacitors and inductors
CO4	Use simulation tool to construct DC circuit in schematic level
CO5	Demonstrate basic proficiency in building, debugging and testing basic electrical circuits

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 101 Electrical Circuits
CO1	Explain the fundamental concepts of linear electrical circuit elements and magnetic properties of materials	a	Cognitive/ Understand	Lectures, notes	Assignment, Quiz
CO2	Apply different circuit analysis techniques and circuit theorems to solve circuits for unknown quantities	a	Cognitive/ Apply	Lectures, notes	Assignment, Quiz, Exam
CO3	Interpret the natural and transient responses of the first order electric systems involving capacitors and inductors	a	Cognitive/ Apply	Lectures, notes	Assignment, Quiz, Exam
ECE 101L Electrical Circuits Lab
CO4	Use simulation tool to construct DC circuit in schematic level	e	Cognitive/ Understand, Psychomotor/ Manipulation	Lab Class	Lab Work, Lab Exam
CO5	Demonstrate basic proficiency in building, debugging and testing basic electrical circuits	e	Cognitive/ Understand, Psychomotor/ Manipulation	Lab Class	Lab Work, Lab Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Engineering Circuit Analysis	W. H. Hayt, J. Kemmerly and S. M. Durbin	2007	8^th Ed.	McGraw-Hill	978-0-07-352957-8
2	Introductory Circuit Analysis	Robert L. Boylestad	2015	11^th Ed.	Prentice-Hall	0-13-173044-4

ECE 103 Computer Programming - v3
CSE 161 Computer Programming – v1, v2
ECE 103IL Computer Programming Laboratory – v3
CSE 162 Computer Programming Laboratory (1 credit) – v1, v2

A. Course General Information:

Course Code:	ECE103 ECE103IL
Course Title:	Computer Programming Computer Programming Laboratory
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	None
Co-requisites:	None
Equivalent Course	EEE 103 Computer Programming EEE 103IL Computer Programming Laboratory CSE 161 Computer Programming – v1, v2 CSE 162 Computer Programming Laboratory (1 credit) – v1, v2

B. Course Catalog Description (Content):
Introduction to programming languages, environments, number system, data representation in computer. Algorithms and flowchart construction for problem solving. Introduction to C programming (variables, data types, operators, expressions, assignments). Conditional, control statements, and loops (if, if-else, switch, while, for etc.). Introduction to 1D arrays and multi-dimensional arrays. Introduction to functions (definitions, prototypes, argument, header files). Introduction to functions (definitions, prototypes, argument, header files). Pointers, Structures, File I/O. Object oriented programming: introduction, class, object and method. This course has 3 hours/week mandatory integrated laboratory session.

C. Course Objective:
The objectives of this course are to
a. introduce algorithms and flowchart construction
b. teach students the basic syntax of a programming language (variables, data types, operators, expressions, assignments etc.)
c. explain how to solve basic programming related problems
d. determine syntax and semantic errors in a program
e. introduce Integrated Development Environments(IDE)s as tools for solving programming problems

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Write algorithms, flowcharts to solve basic and complex programming problems
CO2	Implement conditional statements, loops, arrays and functions to solve programming tasks
CO3	Apply pointer and memory addressing techniques in programming
CO4	Use IDE tools to compile and execute programs

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/ level	Delivery methods and activities	Assessment tools
ECE 103 Computer Programming
CO1	Write algorithms, flowcharts to solve basic and complex programming problems	a	Cognitive/ Apply	Lectures, notes	Quiz, Exam
CO2	Implement conditional statements, loops, arrays and functions to solve programming tasks	a	Cognitive/ Apply	Lectures, notes	Quiz, Exam
CO3	Apply pointer and memory addressing techniques in programming	a	Cognitive/ Apply	Lectures, notes	Quiz, Exam
ECE 103IL Computer Programming Laboratory
CO4	Use IDE tools to compile and execute programs	e	Cognitive/ Apply, Psychomotor/ Manipulation	Lab class	Lab Work, Lab Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Teach Yourself C	Herbert Schildt	1997	3rd	McGraw-Hill Osborne Media	978-0078823114
2	Let Us C	Yashavant Kanetkar	2016	15th	BPB Publications	978-8183331630

ECE 203 Electrical Circuits II
ECE 203L Electrical Circuits II Laboratory – v3
ECE 204 Electrical Circuits II Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE203 ECE203L
Course Title:	Electrical Circuits II Electrical Circuits II Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 101 Electrical Circuits I ECE 101L Electrical Circuits I Laboratory MAT 120 Mathematics II Integral Calculus and Differential Equations
Co-requisites:	None
Equivalent Course	EEE 203 Electrical Circuits II EEE 203L Electrical Circuits II Laboratory ECE 204 Electrical Circuits II Laboratory (1.5 credits) – v1, v2 EEE 204 Electrical Circuits II Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course is considered as one of the fundamental courses to understand Electrical Circuits. It introduces the generation of alternating source and analyze parameters and perform mathematical calculations of real power, reactive power, apparent power, power factor, reactive factor for different types of AC circuit. Moreover, this course provides the concept of complex number calculations and solve all the DC circuits’ concepts such as- series and parallel RL, RC and RLC circuits, nodal and mesh analysis, application of network theorems in ac circuits. Furthermore, this course introduces the concept of three phase circuits; balanced and unbalanced circuits and power calculation which are the essential building blocks for most of the electrical systems. The rationale of the course is to enable the students to develop sound understanding of electrical circuits, design and analyze these basic electrical circuits. As one of the core courses for the ECE program, the knowledge from the course will be applied in future ECE courses such as Energy Conversion I, Energy Conversion II, Power System I, Power System II, Power Electronics and Switchgear and Protection Courses. This course has 3 hours/week separate mandatory laboratory session.

C. Course Objective:
The objectives of this course are to:
a. Introduce basic understanding of phasors and phasor diagrams to analyze voltage, current, power and impedance for AC circuit.
b. Teach how to apply different network theorems to solve AC circuits in phasor domain.
c. Introduce the design and analyze the concept of series and parallel resonance circuits
d. Make understand the phase rotation and Wye/Delta connections for balanced and unbalanced 3-phase systems
e. Introduce how to calculate AC power and power factor for single and three phase ac circuits.
f. Prepare students to understand the frequency response of low-pass, high-pass, band-pass, and band-reject filters and circuit response to non-sinusoidal input.
g. Introduce computer simulations and extensive laboratory sessions to investigate each major topic.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Apply different network theorems to solve AC circuits in phasor domain and for non-sinusoidal inputs.
CO2	Analyze circuit problems on resonance and poly phase system for different types of loads
CO3	Use simulation tool to investigate AC circuits in schematic level
CO4	Construct and troubleshoot AC circuits using laboratory equipment
CO5	Demonstrate the findings of hardware and software experiments through reports

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 203 Electrical Circuits II
CO1	Apply different network theorems to solve AC circuits in phasor domain and for non-sinusoidal inputs.	a	Cognitive/ Apply	Lectures, notes	Quiz, Assignment, Exam
CO2	Analyze circuit problems on resonance and poly phase system for different types of loads	b	Cognitive/ Analyze	Lectures, notes	Assignment, Exam
ECE 203L Electrical Circuits II Laboratory
CO3	Use simulation tool to investigate AC circuits in schematic level	e	Cognitive/ Apply, Psychomotor/ Precision	Lab class	Lab Work, Lab Exam, Project
CO4	Construct and troubleshoot AC circuits using laboratory equipment	e	Cognitive/ Understand, Psychomotor/ Precision	Lab class	Lab Work, Lab Exam, Project
CO5	Demonstrate the findings of hardware and software experiments through reports	j	Affective/Valuing	Lab Class, Lecture	Lab Reports, Project Presentation

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Introductory Circuit Analysis	Robert.L. Boylestad	2012	12^th ed.	Pearson Education	ISBN-0-13097417-XII
2	Electric Circuits	J.W.Nilsson and S.Riedel	2014	7^th ed.	Prentice Hall	ISBN 978–0–07–352955–7

ECE 205 Electronic Circuit I
ECE 205L Electronic Circuit I Laboratory – v3
ECE 206 Electronic Circuit I Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 205 ECE 205L
Course Title:	Electronic Circuit I Electronic Circuit I Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 203 Electrical Circuit II ECE 203L Electrical Circuit II Laboratory
Co-requisites:	None
Equivalent Course	EEE 205 Electronic Circuit I EEE 205L Electronic Circuit I Laboratory ECE 206 Electronic Circuit I Laboratory (1.5 credits) – v1, v2 EEE 206 Electronic Circuit I Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
Fundamental concepts of the semiconductor: electrons and holes, concept of doping, acceptors and donors, p and n-type materials is introduced. PN junction Diode and circuits: Operation principle, Current-Voltage characteristics, Diode models, diode DC analysis, Diode AC analysis: Rectifier circuits, Clipper and Clamper circuits. Zener diode: IV characteristics, zener shunt regulator. Bipolar Junction Transistor (BJT): Basic structure, BJT characteristics and regions of operation, BJT Currents, BJT Terminal Voltages, BJT voltage amplification. Bipolar Junction Transistor Biasing: The dc load line and bias point, biasing the BJT for discrete circuits, small signal equivalent circuit models, h parameters. Single-stage BJT amplifier circuits and their configurations: Voltage and current gain, input and output impedances. Metal-Oxide-Semiconductor Field-Effect-Transistor (MOSFET): structure and physical operation of MOSFETs, Threshold voltage, current-voltage characteristics, Small-signal analysis of MOS amplifier, basic introduction to OpAMP.

C. Course Objective:
The objectives of this course are to
a. Introduce the fundamental concepts of semiconductor materials and their properties required to understand the construction of electronic devices.
b. Provide the students with the knowledge of the construction, operation principles, characteristics of the basic electronic devices (Diode, BJT, MOSFET etc.), and subsequently, with the ability to represent those devices into equivalent circuit models (large signal and small signal).
c. Teach the students different methods to Analyze electronic circuits consisting of electronic devices: Diodes, BJTs and MOSFETs for DC and AC signals.
d. Expose the students with the introductory design process of Amplifier circuits.
e. Provide the students with the skills to simulate electronic circuits and construct, troubleshoot/debug them, and finally, extract experimental data with a view to solidifying the underlying knowledge of the devices

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Construct large-signal equivalent circuit of various electronic devices such as Diode, BJT and MOSFET based on the understanding of the construction, operation mechanism and characteristics of the devices.
CO2	Analyze electronic circuits consisting of different electronic devices such as diodes, BJT, MOSFTEs for both DC and AC signals.
CO3	Design various electronic circuits such as Amplifier circuits and Voltage regulator circuits
CO4	Investigate the effect of different circuit parameters including load resistance on the Amplifier performances in terms of Gain, input/output impedance, faithful reproducibility, stability in biasing etc.
CO5	Use simulation tool to construct electronic circuits and simulate in schematic level

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 205 Electronic Circuit I
CO1	Construct large-signal equivalent circuit of various electronic devices such as Diode, BJT and MOSFET based on the understanding of the construction, operation mechanism and characteristics of the devices.	a	Cognitive/ Apply	Lectures, notes	Assignment, Quiz, Exam
CO2	Analyze electronic circuits consisting of different electronic devices such as diodes, BJT, MOSFTEs for both DC and AC signals.	a	Cognitive/ Analyze	Lectures, notes	Assignment, Quiz, Exam
CO3	Design various electronic circuits such as Amplifier circuits and Voltage regulator circuits	c	Cognitive/ Create	Lectures, notes	Assignment, Exam, Project
ECE 205L Electronic Circuit I Laboratory
CO4	Investigate the effect of different circuit parameters including load resistance on the Amplifier performances in terms of Gain, input/output impedance, faithful reproducibility, stability in biasing etc.	d	Cognitive/ Evaluate, Psychomotor/ Manipulation	Lectures, notes	Open-ended Lab Experiment
CO5	Use simulation tool to construct electronic circuits and simulate in schematic level	e	Cognitive/ Apply Psychomotor/ Manipulation	Lab class	Lab Work, Software Exam, Project

F. Text and Reference Books:

Sl.

Title

Author(s)

Publication Year

Edition

Publisher

ISBN

1

Microelectronics circuits

Adel S. Sedra, Kenneth C. Smith

2014

7^th ed.

Oxford University Press

ISBN-13: 978-0199339136

2

Microelectronics Circuit Analysis & Design

Donald A. Neaman

2010

4^th ed.

McGraw-Hill

ISBN 978–0–07–338064–3

ECE 241 Electromagnetic Waves and Fields

A. Course General Information:

Course Code:	ECE 241
Course Title:	Electromagnetic Waves and Fields
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	Program Core
Type:	Required, Engineering, Lecture
Prerequisites:	ECE 203 Electrical Circuits II, ECE 203L Electrical Circuits II Lab MAT 216 Mathematics IV Linear Algebra and Fourier Analysis PHY 112 Principles of Physics II
Co-requisites:	None
Equivalent Course	EEE 241 Electromagnetic Waves and Fields

B. Course Catalog Description (Content):
Electrostatics: Co-ordinate system, Rectangular, Cylindrical and Spherical co-ordinates, and Vector Analysis; Fundamental Postulates of Electrostatics, Gauss’s theorem and its application, Electrostatic Potential, Capacitance Calculation, Laplace’s and Poisson’s equations, Method of Images, Energy of an Electrostatic system, conductor and dielectrics. Steady Electric Current: Current Density and Ohm’s Law, Boundary Conditions, Resistance Calculation. Magnetostatics: Concept of magnetic field, Fundamental Postulates of Static Magnetic Field, Ampere’s Law, Biot-Savart law, Vector Magnetic Potential, Energy of Magnetostatic system, Mechanical forces and torques in electric and magnetic fields. Solutions to static field problems; Graphical field mapping with applications, solution to Laplace’s equations, rectangular, cylindrical and spherical harmonics with applications. Maxwell’s equations: Their derivations, continuity of charges, concepts of displacement current; Boundary conditions for time-varying systems; Potentials used with varying charges and currents; Retarded potentials, Maxwell’s equations in different coordinate systems. Propagation and reflection of electromagnetic waves in unbounded media: Plane wave propagation, polarization, power flow and Poynting’s theorem. Transmission line analogy, reflection from conducting and dielectric boundary
.
C. Course Objective:
The objectives of the course are to:
a. Provide students with the basic concepts of electromagnetic theory, principles of electromagnetic radiation, Electromagnetic boundary conditions and electromagnetic wave propagation
b. Enable students to demonstrate knowledge and understanding of Electromagnetic fields in simple electronic configurations
c. Help students to develop skills to analyze interactions of electromagnetic waves with materials and interfaces

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to-

Sl.	CO Description
CO1	Explain the fundamentals of Electrostatic and Magnetostatic Fields
CO2	Apply Gauss's Law, Coulomb's Law and Poisson's Equation to calculate fields and potentials to solve topic specific engineering problems.
CO3	Demonstrate the interaction between time-varying electric and magnetic fields and how this interaction leads to Maxwell's equations.
CO4	Analyze interactions of electromagnetic waves with materials and interfaces and Interpret the effects of dielectrics upon the propagation of electromagnetic waves.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Explain the fundamentals of Electrostatic and Magnetostatic Fields	a	Cognitive/ Understand	Lecture, Notes	Quiz, Exam
CO2	Apply Gauss's Law, Coulomb's Law and Poisson's Equation to calculate fields and potentials to solve topic specific engineering problems.	a	Cognitive/ Apply	Lecture, Notes	Assignment, Quiz, Exam
CO3	Demonstrate the interaction between time-varying electric and magnetic fields and how this interaction leads to Maxwell's equations.	a	Cognitive/ Apply	Lecture, Notes	Assignment, Quiz, Exam
CO4	Analyze interactions of electromagnetic waves with materials and interfaces and Interpret the effects of dielectrics upon the propagation of electromagnetic waves.	b	Cognitive/ Analyze	Lecture, Notes	Assignment, Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
01	Field and Wave Electromagnetics	David K. Cheng	2006	2nd	Pearson	13: 9780201128192
02	Elements of Electromagnetics	Matthew Sadiku	2010	3rd	Oxford University	13: 978-0199743001

ECE 243 Signals and Systems

A. Course General Information:

Course Code:	ECE 243
Course Title:	Signals and Systems
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	Program Core
Type:	Required, Engineering, Lecture
Prerequisites:	ECE 203 Electrical Circuits II ECE 203L Electrical Circuits II Laboratory MAT 216 Mathematics IV Linear Algebra and Fourier Analysis
Co-requisites:	None
Equivalent Course	EEE 243 Signals and Systems

B. Course Catalog Description (Content):
This is an introductory course in the field of communication engineering. It provides basic concepts of signals and systems and how different operations is done on the elementary signals. Students will learn to determine output of LTI system using the technique of convolution. They will get an insight of frequency domain techniques for analysis and manipulation of continuous time signals. Students will learn to determine Fourier series coefficient and Fourier transform of periodic and aperiodic time domain signals. This learning is also extended to Laplace transform. Using these frequency domain techniques students will be able to design and analyze different types of systems.

C. Course Objective:
The objectives of this course are to
a. introduce the fundamental concepts of signals and systems
b. enable students to find system output using convolution integral
c. provide basic understanding of frequency domain representation of signals
d. enable students to analyze systems using Fourier Series, Fourier Transform and Laplace Transform
e. develop the techniques of designing a system using frequency domain methods
f. prepare students to take more advanced courses in the area of communication engineering

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain various types of signals (such as continuous and discrete, periodic and aperiodic, power and energy) and systems (such as linearity, time invariance, causality, memory, invertibility, and BIBO stability)
CO2	Analyze various properties of signals and system
CO3	Apply the basic properties of the Fourier series, Fourier transform and Laplace transform for problem analysis and solving
CO4	Use the frequency domain techniques to design systems that meets particular requirements

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Explain various types of signals (such as continuous and discrete, periodic and aperiodic, power and energy) and systems (such as linearity, time invariance, causality, memory, invertibility, and BIBO stability)	a	Cognitive/ Understand	Lectures, notes	Quiz, Assignment, Exam
CO2	Analyze various properties of signals and system	b	Cognitive/ Analyze	Lectures, notes	Assignment, Exam
CO3	Apply the basic properties of the Fourier series, Fourier transform and Laplace transform for problem analysis and solving	a	Cognitive/ Apply	Lectures, notes	Quiz, Assignment, Exam
CO4	Use the frequency domain techniques to design systems that meets particular requirements	a	Cognitive/ Apply	Lectures, notes	Assignment, Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Signals and Systems	Alan V. Oppenheim, Alan S. Willsky, With S. Hamid, Syed Hamid Nawab	2013	2^nd	Pearson	978-1292025902
2	Continuous and discrete signals and systems	Samir S. Soliman, Mandyam D. Srinath	1990	2^nd	Prentice Hall	81-203-2307-6
3	Linear Systems and Signals	B. P. Lathi	2001	2^nd	Oxford University Press, Inc	0-941413-35-7

ECE 282 Numerical Techniques

A. Course General Information:

Course Code:	ECE 282
Course Title:	Numerical Techniques
Credit Hours (Theory + Laboratory):	0+1
Contact Hours (Theory + Laboratory):	0+3
Category:	Program Core
Type:	Required, Engineering, Laboratory
Prerequisites:	ECE 103 Computer Programming MAT 120 Mathematics II Integral Calculus and Differential Equations
Co-requisites:	None
Equivalent Course	EEE 282 Numerical Techniques

B. Course Catalog Description (Content):
This course is provides a solid introduction to the field of numerical analysis. The course starts with some basic discussion on some of the preliminary topics of numerical methods and provides a background of programming. Diverse methods of finding roots, interpolation techniques, numerical differentiation and integration are covered in this course. Solution of ordinary differential equations and solving linear systems are also introduced in the course. Aside from developing competency in the topics and emphases listed above, the course aims to further development of the students in applying problem solving skills through the introduction of numerical methods.

C. Course Objective:
The objectives of this course are to
a. Introduce an understanding of the core ideas and concepts of Numerical Methods.
b. Provide students with sound understanding and knowledge of programming and efficient coding to implement different numerical methods and concepts.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Evaluate different methods of interpolation.
CO2	Explore the basic concepts of numerical differentiation and integration.
CO3	Apply the knowledge of numerical methods for solving linear systems.
CO4	Use appropriate simulation tools to perform experiments on various numerical methods.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Evaluate different methods of interpolation.	a	Cognitive/ Evaluate	Lecture, Notes, Lab class	Assignment, Lab Exam
CO2	Explore the basic concepts of numerical differentiation and integration.	a	Cognitive/ Understand	Lecture, Notes, Lab class	Assignment, Lab Exam
CO3	Apply the knowledge of numerical methods for solving linear systems.	a	Cognitive/ Apply	Lecture, Notes, Lab class	Assignment, Lab Exam
CO4	Use appropriate simulation tools to perform experiments on various numerical methods.	e	Cognitive/ Apply Psychomotor/ Precision	Lab Class, Lectures, Tutorial	Assignment, Lab Exam, Project

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
01	Numerical Methods for Engineers	Steven C. Chapra & Raymond C. Canale	2014	7th	McGraw-Hill Education	13: 978-0073397924
02	Elementary Numerical Analysis	Kendall Atkinson & Weimin Han	2003	3rd	Wiley	13: 978-0471433378

ECE 283 Digital Logic Design - v3
ECE 301 Digital Electronics – v1, v2
ECE 283L Digital Logic Design Laboratories – v3
ECE 302 Digital Electronics Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 283 ECE 283L
Course Title:	Digital Logic Design Digital Logic Design Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 205 Electronic Circuit I ECE 205L Electronic Circuit I Laboratory
Co-requisites:	None
Equivalent Course	EEE 283 Digital Logic Design ECE 301 Digital Electronics – v1, v2 EEE 301 Digital Electronics – v1, v2 EEE 283L Digital Logic Design Laboratory ECE 302 Digital Electronics Laboratory (1.5 credits) – v1, v2 EEE 302 Digital Electronics Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
Different types of number systems, their representation, conversion and mathematical operation. Codes: BCD, alphanumeric, gray and excess-3. Digital logic: Boolean algebra, De Morgan's laws. Logic minimization. Logic gates and their truth tables. Basic logic gates in CMOS: DC characteristics, noise margin and power dissipation. Modular combinational circuit design: pass gates, multiplexer, de-multiplexer, encoder, decoder and comparators. Arithmetic logic circuit design: Half adder, full adder, half subtractor, full subtractor. Sequential circuits: Different types of latches, flip-flops and their design using ASM approach, timing analysis and power optimization of sequential circuits. Modular sequential logic circuit design: shift registers, counters and their applications. Synthesis of digital circuits using Hardware Description Language (HDL). This course has 3 hours/week separate mandatory laboratory session.

C. Course Objective:
The objectives of this course are to
a. Introduce the concepts and terminology of digital logic design to create circuits to solve problems using gates to replicate all logic functions.
b. Introduce theorems and properties of Boolean algebra and simplification techniques including Karnaugh Map to reduce Boolean expressions and logic circuits to their simplest forms.
c. Prepare students to design and implement combinational and sequential circuits.
d. Exposed students in designing and evaluating solutions for complex digital system design problem.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Apply the concept of digital logic design to solve the problem using gates to replicate logic functions
CO2	Analyze combinational and sequential logic circuits built with various logic gates, flip-flops, registers, counters etc. represented through schematic diagram or hardware description language.
CO3	Design combinational and sequential logic circuits using various logic gates, flip-flops, registers, counters as building blocks
CO4	Perform effectively as an individual or in a team to design and build combinational and sequential logic circuits in the laboratory or project development
CO5	Communicate the findings of hardware and software experiments and projects through reports and presentations

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 283 Digital Logic Design
CO1	Apply the concept of digital logic design to solve the problem using gates to replicate logic functions	a	Cognitive/ Apply	Lectures, Notes	Assignment, Quiz, Exam
CO2	Analyze combinational and sequential logic circuits built with various logic gates, flip-flops, registers, counters etc. represented through schematic diagram or hardware description language.	a	Cognitive/ Analyze	Lectures, Notes	Assignment, Quiz, Exam
CO3	Design combinational and sequential logic circuits using various logic gates, flip-flops, registers, counters as building blocks	c	Cognitive/ Create	Lectures, Notes	Assignment, Project
ECE 283L Digital Logic Design Laboratories
CO4	Perform effectively as an individual or in a team to design and build combinational and sequential logic circuits in the laboratory or project development	i	Affective/ Valuing	Lab class	Observation, Peer-review
CO5	Communicate the findings of hardware and software experiments and projects through reports and presentations	j	Cognitive/Understand, Affective/ Valuing	Lab Class	Lab Reports, Project Reports and Presentation

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Digital Systems: Principles and Applications	Ronald J Tocci and Neal S Widmer,	2011	11^th	Prentice Hall,	0135103827, 9780135103821
2	Digital Logic and Computer Design	M. Morris Mano and Michael D. Ciletti,	2004	4^th	Pearson/Prentice Hall,	013140539X, 9780131405394
3	Fundamentals of Logic Design	Roth, HR,	2010	6^th	Thomson-Brooks/Cole	0495471690, 9780495471691

ECE 305 Control Systems
ECE 305L Control Systems Laboratory – v3
ECE 306 Control Systems Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 305 ECE 305L
Course Title:	Control Systems Control Systems Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 243 Signals and Systems
Co-requisites:	None
Equivalent Course	EEE 305 Control Systems EEE 305L Control Systems Laboratory ECE 306 Control Systems Laboratory (1.5 credits) – v1, v2 EEE 306 Control Systems Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This is a first course on feedback control of dynamic systems. It provides basic concepts and principles of modeling, analysis and design of continuous time linear feedback control systems. Students gain experience in applying a variety of modeling techniques and analyzing system performance from several perspectives to include the time and frequency domains. Using this classical control design techniques, students learn to synthesize linear controllers capable of satisfying a variety of stability and response criteria. Practical aspects of the class include the use of case studies of real control systems as well as the use of Matlab/Simulink for simulation and design. A companion 3 hours/week laboratory session provides additional hands-on experimental exposure to the design, implementation and performance of linear controllers using second order servo system.

C. Course Objective:
The course primarily contributes to demonstrate an understanding of the fundamentals of feedback control systems, design a system, component or process to meet desired needs, use the techniques, skills and modern engineering tools nEEEssary for modern engineering practice related to control systems. As one of the core courses for the ECE program, the knowledge from the course will be applied in future practical applications such as robotics, radar tracking system, aircraft flight control system, space flight and also for those who are interested to further study in control engineering

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Identify an approximate linear/linearized model for a physical dynamic system.
CO2	Examine the stability and feedback control of linear time-invariant (LTI) systems
CO3	Design linear control systems using time domain and frequency domain techniques
CO4	Recognize the need for learning new concepts, theories, technologies and systems related to control systems engineering field
CO5	Utilize software tools to design and analysis of control systems
CO6	Perform hands-on practical demonstration of control theories in laboratory setup

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 305 Control Systems
CO1	Identify an approximate linear/linearized model for a physical dynamic system.	a	Cognitive/ Analyze	Lectures, notes	Assignment, Quiz, Exam
CO2	Examine the stability and feedback control of linear time-invariant (LTI) systems	a	Cognitive/ Analyze	Lectures, notes	Assignment, Exam
CO3	Design linear control systems using time domain and frequency domain techniques	c	Cognitive/ Create	Lectures, notes	Lab Work, Project
CO4	Recognize the need for learning new concepts, theories, technologies and systems related to control systems engineering field	l	Cognitive/ Understand, Affective/ Valuing	Independent case-study	Case-study report
ECE 305L Control Systems Laboratory
CO5	Utilize software tools to design and analysis of control systems	e	Cognitive/ Apply, Psychomotor/ Precision	Lab Class	Lab Work, Lab Exam, Project
CO6	Perform hands-on practical demonstration of control theories in laboratory setup	e	Cognitive/ Apply, Psychomotor/ Precision	Lab Class	Lab Work, Lab Exam, Project

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Modern Control Engineering	K. Ogata	2010	5^th Ed.	Prentice-Hall	0-13-615673-8
2	Control Systems Engineering	Norman S. Nise	2011	6^th Ed.	John Wiley & Sons, Inc.	978-0470-54756-4

ECE 308 Electronic Circuits II – v3
ECE 207 Electronic Circuits II – v1, v2
ECE 308L Electronic Circuits II Laboratory – v3
ECE 208 Electronic Circuits II Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Details
Course Code:	ECE 308 ECE 308L
Course Title:	Electronic Circuits II Electronic Circuits II Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 205 Electronic Circuits I ECE 205L Electronic Circuits I Laboratory
Co-requisites:	None
Equivalent Course	EEE 308 Electronic Circuits II ECE 207 Electronic Circuits II – v1, v2 EEE 207 Electronic Circuits II – v1, v2 EEE 308L Electronic Circuits II Laboratory ECE 208 Electronic Circuits II Laboratory (1.5 credits) – v1, v2 EEE 208 Electronic Circuits II Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course provides students with a foundation to the design and analysis of basic circuit building blocks needed to construct a complete analog electronic system. The course starts with the general frequency considerations for single stage or multi stage network: low and high frequency analysis, an important consideration for any analog electronic system. The course then introduces Operational Amplifiers (Op Amp), their terminal characteristics, open loop and close loop configurations, inverting and non-inverting amplifiers, and their applications in various circuit building blocks. Applications of op amps in the design and construction of Active Filters and Sinusoidal Oscillator circuits will be also discussed in detail. Concept of Feedback and how negative feedback can be used to improve the performance of Amplifiers will be also provided. This course has separate 3 hours/week mandatory laboratory session.

C. Course Objective:
The objectives of this course are to
a. enable the students to develop the sound understanding of and ability to design and analyze operational amplifier based electronic circuits
b. provide students with a foundation for analyzing and designing basic electronic circuit building blocks for different applications, such as, adder, integrator, differentiator, differential amplifier, filters, oscillators, etc.
c. help students develop an understanding of how different physical parameters such as frequency, temperature, etc. limit the performance of the amplifiers and how to address this problem.
d. equip students with nEEEssary technical skills to construct and troubleshoot operational amplifier based electronic circuits

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain the theory behind the op amp based amplifier circuits, filter, oscillator and feedback amplifier circuits.
CO2	Apply the knowledge of op amps, in open loop and close loop connections, to analyze op amp based various circuits, such as, adder circuit, integrator circuit, difference amplifier, etc.
CO3	Design Op Amp based electronic circuits for some practical application
CO4	Investigate the effect of signal frequency on the amplifier performance

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 308 Electronic Circuits II
CO1	Explain the theory behind the op amp based amplifier circuits, filter, oscillator and feedback amplifier circuits.	a	Cognitive / Understand	Lectures, notes	Quiz, Assignment, Exam
CO2	Apply the knowledge of op amps, in open loop and close loop connections, to analyze op amp based various circuits, such as, adder circuit, integrator circuit, difference amplifier, etc.	a	Cognitive / Apply	Lectures, notes	Assignment, Quiz, Exam
CO3	Design Op Amp based electronic circuits for some practical application	c	Cognitive / Create	Lectures, notes	Project
ECE 308L Electronic Circuits II Laboratory
CO4	Investigate the effect of signal frequency on the amplifier performance	d	Cognitive/ Analyze, Psychomotor/ Precision	Laboratory session	Open-ended lab

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Microelectronic Circuits	S. Sedra and K. C. Smith	2015	7^th Ed	Oxford Univ. Press
2	Electronic Circuits Analysis and Design	Donald A Neaman	2010	3rd Ed	McGraw Hill

ECE 309 Semiconductor Device Physics – v3
ECE 209 Semiconductor Devices and Materials – v1, v2

A. Course General Information:

Course Code:	ECE 309
Course Title:	Semiconductor Device Physics
Credit Hours(Theory + Laboratory):	3 + 0
Contact Hours(Theory + Laboratory):	3 + 0
Category:	Program Core
Type:	Required, Engineering, Lecture
Prerequisites:	ECE 205 Electronics Circuits I ECE 205L Electronics Circuits I Laboratory
Co-requisites:	None
Equivalent Course	EEE 309 Semiconductor Device Physics ECE 209 Semiconductor Devices and Materials – v1, v2 ECE 209 Semiconductor Devices and Materials – v1, v2

B. Course Catalog Description (Content):
This course is an introduction to solid state electronic devices for undergraduate engineering students. It deals with the physics (electrical and electronic properties) of semiconductor materials, simple pn junction, and some of the most common electronic devices, such as, rectifier and zener diodes, transistors, MOSFETs. The course commences by looking into the semiconductor fundamentals including crystals and energy bands, charge carriers (electrons and holes), doping, and transport, (drift and diffusion); basic concepts of generation-recombination and the P-N junction as capacitors and current rectifier with applications in photonics; bipolar transistors and switching three-terminal devices. Being a fundamental course in electronics, knowledge from this course will be essential to understand many other electronic courses, such as, electronic devices and circuits, opto-electronics, VLSI, analog integrated circuits, power electronics etc.

C. Course Objective:
The objectives of this course are to
a. introduce students to the physics of semiconductor materials and the inner working principles of semiconductor devices
b. provide students with a sound understanding of characteristics and behavior of existing devices, so that studies of electronic circuits and systems will be meaningful
c. help develop the basic tools with which students can later learn about newly developed devices and applications

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain the physical, chemical and electrical properties of semiconductor materials and what distinguishes them from other materials
CO2	Apply the understanding of basic semiconductor physics to determine carrier concentration, energy band diagram and carrier transport mechanism
CO3	Apply the knowledge of math and physics to determine the generation-recombination and transport characteristics of minority carriers under external excitation in a semiconductor
CO4	Analyze the inner working of semiconductor p-n junction diodes by gaining an in-depth understanding of the physics of the p-n junction, its electrostatic and electro-dynamic behaviors

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Explain the physical, chemical and electrical properties of semiconductor materials and what distinguishes them from other materials	a	Cognitive/ Understand	Lectures, notes	Quiz, Exam
CO2	Apply the understanding of basic semiconductor physics to determine carrier concentration, energy band diagram and carrier transport mechanism	a	Cognitive/ Apply	Lectures, notes	Quiz, Assignment, Exam
CO3	Apply the knowledge of math and physics to determine the generation-recombination and transport characteristics of minority carriers under external excitation in a semiconductor	a	Cognitive/ Apply	Lectures, notes	Quiz, Assignment Exam
CO4	Analyze the inner working of semiconductor p-n junction diodes by gaining an in-depth understanding of the physics of the p-n junction, its electrostatic and electro-dynamic behaviors	b	Cognitive/ Analyze	Lectures, notes	Assignment Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	Solid State Electronic Devices	B. G. Streetman and S. Banerjee	2014	7	Prentice Hall	8120350006
2	Semiconductor Physics and Devices	Donald A. Neamen	2017	4	McGraw-Hill	9780071070102

ECE 341 Introduction to Communication Engineering
ECE 341L Introduction to Communication Engineering Laboratory – v3
ECE 342 Introduction to Communication Engineering Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 341 ECE 341L
Course Title:	Introduction to Communication Engineering Introduction to Communication Engineering Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 241 Electromagnetic Fields and Waves ECE 243 Signal and Systems STA 201 Elements of Statistics and Probability
Co-requisites:	None
Equivalent Course	EEE 341 Introduction to Communication Engineering EEE 341L Introduction to Communication Engineering Laboratory ECE 342 Introduction to Communication Engineering Laboratory (1.5 credits) – v1, v2 EEE 342 Introduction to Communication Engineering Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course provides introduction to basic principles of Communication system, fundamental elements, basic modes of communication, transmission media types. It begins with a brief discussion on Fourier series and Fourier Transform and their application in multiplexing, modulation, and sampling and other fields of communication engineering. It also deals with different aspects of Noise in communication system. Students will gain detail knowledge about different types of analog modulation such as Amplitude Modulation (AM), Frequency Modulation (FM) and Phase Modulation (PM), and digital modulation techniques such as Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK) and their applications. This course also covers the basics of different multiplexing techniques such as Time Division Multiplexing (TDM), Frequency Division Multiplexing (FDM) etc. This course has separate 3 hours/week mandatory laboratory session.

C. Course Objective:
The objectives of this course are to
a. Introduce the core concepts and fundamental elements of a communication system.
b. Provide students with sound understanding and knowledge of different modes of modulation schemes used in modern communication systems and basic multiplexing techniques.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain different types of modulation and multiplexing techniques.
CO2	Analyze modulated and demodulated signals in time domain and frequency domain.
CO3	Apply the knowledge to solve problems related to communication engineering
CO4	Use hardware and software tools to perform experiments on various modulation schemes.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 341 Introduction to Communication Engineering
CO1	Explain different types of modulation and multiplexing techniques.	a	Cognitive/ Understand	Lecture, Notes	Assignment Quiz, Exam,
CO2	Analyze modulated and demodulated signals in time domain and frequency domain.	b	Cognitive/ Analyze	Lecture, Notes	Assignment Exam,
CO3	Apply the knowledge to solve problems related to communication engineering	a	Cognitive/ Apply	Lecture, Notes	Quiz, Assignment, Exam, Project
ECE 341L Introduction to Communication Engineering Laboratory
CO4	Use hardware and software tools to perform experiments on various modulation schemes.	e	Cognitive/ Apply Psychomotor/ Precision	Lab Class	Lab Work, Lab Exam

G. Text and Reference Books:

Sl.

Title

Author(s)

Publication Year

Edition

Publisher

ISBN

01

Communication Systems

Micheal Mohar
&
Simon S. Haykin

2009

5th

Wiley

13: 978-0471697909

02

Modern Digital and Analog Communication System

B. P. Lathi
&

Z. Ding

2010

4th

New York : Oxford University Press, 2009

13: 978-0195384932

ECE 343 Digital Signal Processing
ECE 343L Digital Signal Processing Laboratory – v3
ECE 344 Digital Signal Processing Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 343 ECE 343L
Course Title:	Digital Signal Processing Digital Signal Processing Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 243 Signals and Systems
Co-requisites:	None
Equivalent Course	EEE 343 Digital Signal Processing EEE 343L Digital Signal Processing Laboratory ECE 344 Digital Signal Processing Laboratory (1.5 credits) – v1, v2 EEE 344 Digital Signal Processing Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
In this course an introduction to the basic analysis tools and techniques for digital processing of signals is given. It begins by introducing some of the nEEEssary terminology and by describing the important operations, sampling and quantization, associated with the process of converting an analog signal to digital form suitable for processing. Students will learn the application of Nyquist Theorem to control the amount of distortion during the reconstruction phase. This course will also cover discrete time linear system analysis in the time-domain, z-transform and its applications, discrete-time Fourier series (DTFS), discrete-time Fourier transform (DTFT), discrete Fourier transform (DFT), and their applications in designing digital filters (FIR and IIR). This course has separate 3 hours/week mandatory laboratory session.

C. Course Objective:
The objectives of this course are to
a. Introduce the fundamentals, implementation and applications of digital signal processing techniques as applied to practical, real world problems.
b. Provide students with sound understanding and knowledge of information bearing signals and signal processing in a wide variety of applications settings, including spectral estimation, instrumentation, control, communications, signal interpretation and diagnostics and imaging

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Reconstruct signals between analog and digital domain
CO2	Examine digital signals in different domains ( Z Domain and Fourier Domain)
CO3	Design FIR/IIR filters using different techniques and requirements
CO4	Recognize the need for learning new concepts and applications in digital signal processing field
CO5	Investigate digital signal properties and characteristics by setting up appropriate simulation models and/or experiments and analysis of results

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment Tools
ECE 343 Digital Signal Processing
CO1	Reconstruct signals between analog and digital domain	a	Cognitive/ Create	Lecture, Notes	Assignment, Quiz, Exam
CO2	Examine digital signals in different domains ( Z Domain and Fourier Domain)	a	Cognitive/ Analyze	Lecture, Notes	Assignment, Quiz, Exam
CO3	Design FIR/IIR filters using different techniques and requirements	c	Cognitive/ Create	Lecture	Assignment, Project
CO4	Recognize the need for learning new concepts and applications in digital signal processing field	l	Cognitive/ Understand, Affective/ Valuing	Independent research/ case study	Research/ Case-study report
ECE 343L Digital Signal Processing Laboratory
CO5	Investigate digital signal properties and characteristics by setting up appropriate simulation models and/or experiments and analysis of results	d	Cognitive/ Evaluate	Lab Work	Open ended Lab

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
01	Digital Signal Processing, Principles, Algorithms and Applications	J. G. Proakis and G. Manolakis	2006	4th	Pearson	13: 9780131873742
02	Discrete-time Signal Processing	Oppenheim, Schafer and Buck	2010	3rd	Prentice-Hall Signal Processing Series	13: 978-0131988422

ECE 359 Engineering Project Management

A. Course General Information:

Course Code:	ECE 359
Course Title:	Engineering Project Management
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School/Program Core
Type:	Required, Engineering , Lecture
Prerequisites:	ENG 102 English Composition HUM 103 Ethics and Culture
Co-requisites:	None
Credit requirements:	At least 65 credit hours completed
Equivalent Course	EEE 359 Engineering Project Management

B. Course Catalog Description (Content):
The course introduces fundamental principles and components of project management from the initiation, planning, execution, monitoring, controlling and closeout in an engineering context. Topics include project initiation, cost-benefit estimation, budgeting, work plans and scheduling, tracking work, resource allocation, project coordination, project monitoring and control including cost, schedule, scope and quality management, risk management and change management, leadership and team management, conflict and negotiations, ethics, and professional responsibility and close out

C. Course Objectives:
The objectives of this course are to
a. Enable students to understand fundamental principles, process and components of engineering project management
b. Prepare students to plan, develop, manage, lead, and successfully implement and deliver engineering projects
c. Enable students to apply cost-benefit analysis and considerations in economic-decision making process related to engineering project.
d. Allow students to develop communication skills required in project management
e. Prepare students to develop team-building capabilities for an effective project implementation

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	Course Outcome
CO1	Explain the basics of project management principles, process, life cycle and interrelationship of various components
CO2	Develop a project plan, schedule, cost-estimation and budget, project risks.
CO3	Use the appropriate project management tools to manage engineering project
CO4	Prepare cost-benefit analysis in economic-decision process related to engineering project development
CO5	Communicate various stages of project progress to stakeholders through writings, technical reports, deliverables and oral presentations
CO6	Display the ability to contribute effectively as a member or leader in an engineering project development team

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Explain the basics of project management principles, process, life cycle and interrelationship of various components	k	Cognitive/ Understand	Lecture	Assignment, Quiz, Exam,
CO2	Develop a project plan, schedule, cost-estimation and budget, project risks.	k	Cognitive/ Apply	Lecture	Project, Assignment
CO3	Use the appropriate project management tools to manage engineering project	k	Cognitive/ Apply	Lecture	Project, Assignment
CO4	Prepare cost-benefit analysis in economic-decision process related to engineering project development	k	Cognitive/ Apply	Lecture	Case Study, Project
CO5	Communicate various stages of project progress to stakeholders through writings, technical reports, deliverables and oral presentations	j	Psychomotor/ Precision	Report Writing workshop	Project report and presentation
CO6	Display the ability to contribute effectively as a member or leader in an engineering project development team	i	Affective/ Organization	Discussion on Team-building activities	Project review, Peer-evaluation

ECE 369 Professional Practice, Engineers and Society

A. Course General Information:

Course Code:	ECE 369
Course Title:	Professional Practice, Engineers and Society
Credit Hours (Theory + Laboratory):	3 + 0
Contact Hours (Theory + Laboratory):	3 + 0
Category:	School/Program Core
Type:	Required, Engineering , Lecture
Prerequisites:	ENG 102 English Composition HUM 103 Ethics and Culture
Co-requisites:	None
Credit requirements:	At least 65 credit hours completed
Equivalent Course	EEE 369 Professional Practice, Engineers and Society

B. Course Catalog Description (Content):
This course is designed to introduce undergraduate engineering students to the concepts, theory and practice of engineering professional ethics in the global and social context of contemporary engineering practices. This course will help students to explore what engineers do, to understand the social, political, legal, and economic responsibility and accountability of the engineering profession as well as how engineering practice plays vital role in the development of sustainable growth. It will also allow students how to apply classical moral theory and take informed ethical decisions in engineering issues encountered in professional careers. The assessment of this course will be based on case-study and assignment based reports.,presentations only

C. Course Objectives:
The objectives of this course are to
a. Enable student to understand their role and responsibilities as engineering professionals through gaining knowledge of moral values, philosophies, professional code of ethics and practices
b. Prepare students to be able to take informed ethical decisions when confronted with problems in the working environment
c. Develop students’ ability to assess the impact of engineering solutions in the broader societal and environmental context
d. Enable students to evaluate the sustainability of engineering solutions
e. Improve students’ communication skills in regard to ethical and professional issues in engineering practice

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	Course Outcome
CO1	Identify and value the responsibility of the engineers in regard to social, cultural, economic, legal, health, safety and welfare relevant to electrical and electronic engineering solutions and practice.
CO 2	Evaluate the sustainability and impact of the electrical and electronic engineering solutions in the broader societal and environmental context
CO 3	Resolve competing and complex ethical issues related to the electrical and electronic engineering solutions and professional practices
CO4	Communicate effectively with regard to ethical, professional, societal and environmental issues in electrical and electronic engineering practices and solutions.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Identify and value the responsibility of the engineers in regard to social, cultural, economic, legal, health, safety and welfare relevant to electrical and electronic engineering solutions and practice.	f	Cognitive/ Analyze, Affective/ Valuing	Lecture notes, class room discussion	Assignment, Case study report and/or presentation
CO 2	Evaluate the sustainability and impact of the electrical and electronic engineering solutions in the broader societal and environmental context	g	Cognitive/ Evaluate	Lecture notes, class room discussion	Assignment, Case study report and/or presentation
CO 3	Resolve competing and complex ethical issues related to the electrical and electronic engineering solutions and professional practices	h	Affective/ Valuing	Lecture notes, class room discussion	Assignment, Case study report and/or presentation
CO4	Communicate effectively with regard to ethical, professional, societal and environmental issues in electrical and electronic engineering practices and solutions.	j	Affective/ Valuing Psychomotor/ Precision	Lecture notes, class room discussion	Written report, Oral presentation

ECE 373 Embedded System Design – v3
ECE 365 Microprocessor and Interfacing – v1, v2
ECE 373L Embedded System Design Laboratory – v3
ECE 366 Microprocessor and Interfacing Lab. (1.5 credits) – v1, v2

A. Course General Information:

Course Details
Course Code:	ECE 373 ECE 373L
Course Title:	Embedded System Design Embedded System Design Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Core
Type:	Required, Engineering, Lecture + Laboratory
Prerequisites:	ECE 103 Computer Programming ECE 283 Digital Logic Design ECE 283L Digital Logic Design Laboratory
Co-requisites:	None
Equivalent Course	EEE 373 Embedded System Design ECE 365 Microprocessor and Interfacing – v1, v2 EEE 365 Microprocessor and Interfacing – v1, v2 EEE 373L Embedded System Design Laboratory ECE 366 Microprocessor and Interfacing Lab. (1.5 credits) – v1, v2 EEE 366 Microprocessor and Interfacing Lab. (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course the fundamentals of embedded system hardware and firmware design will be explored. An overview of GCC fundamental, Assembly and C language programming is provided. This is followed by an in-depth discussion of different peripheral modules of the Microcontroller, such as, Analogue to Digital Converter (ADC); Interrupts; Timers/Counters, and their applications in the design of various Microcontroller based systems such as, Signal Generation; Motor Control; Sensor and Transducers; Serial Communication, Integrating Bluetooth Module; Integrating WiFi Module; Integrating GSM Module; Introduction to Raspberry pi module and Python; Fundamental of IoT; Programming Node MCU; IoT Server setup; The course will culminate with a significant final project on IoT. This course has separate 3 hours/week mandatory laboratory session.

C. Course Objective:
The objectives of this course are to:
a. familiarize students with the basic architecture of microprocessor and microcontrollers, and provide them with a sound understanding of different peripheral modules, their operation mechanism and interfacing with external devices for various applications.
b. enable the students to develop the ability to design and implement microcontroller-based embedded systems using state-of-the-art software tools.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain the basic architecture and operation of microprocessor and microcontrollers, peripheral modules, as well as their interfacing with
CO2	Apply the major peripherals of the AVR microcontrollers to solve problems in interfacing to electronic devices.
CO3	Design microcontroller based embedded systems that meets specified requirements
CO4	Use appropriate hardware and software tools to develop embedded systems
CO5	Demonstrate the embedded system design concept, process and findings to the broader audience through reports and presentations

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 373 Embedded System Design
CO1	Explain the basic architecture and operation of microprocessor and microcontrollers, peripheral modules, as well as their interfacing with external devices for various applications	a	Cognitive / Understand	Lectures, notes	Quiz, Assignment, Exam
CO2	Apply the major peripherals of the microcontrollers to solve problems in interfacing to electronic devices.	a	Cognitive / Apply	Lectures, notes	Quiz, Assignment, Exam
ECE 373L Embedded System Design Laboratory
CO3	Design microcontroller based embedded systems that meets specified requirements	c	Cognitive / Create	Lectures, notes Design Project	Project
CO4	Use appropriate hardware and software tools to develop embedded systems	e	Cognitive/ Apply, Psychomotor/ Precision	Lectures, notes Lab sessions	Lab Work, Lab Exam, Project
CO5	Demonstrate the embedded system design concept, process and findings to the broader audience through reports and presentations	j	Psychomotor/ Precision Affective / Valuing	Lab sessions, Design Project	Project Report, Presentation

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
1	The AVR microcontroller and embedded System – Using Assembly and C	M. A. Mazidi, S. Naimi and S. Naimi	2011	X^th Ed	Prentice Hall (PEARSON)
2	Embedded C Programming and the Atmel AVR	Richard H. Barnett, Sarah Cox, Larry O'Cull	2007	2nd Ed	Delmar Cengage Learning

ECE 382 Modelling and Simulation

A. Course General Information:

Course Code:	ECE 382
Course Title:	Modelling and Simulation
Credit Hours (Theory + Laboratory):	0 + 1
Contact Hours (Theory + Laboratory):	0 + 3
Category:	Program Core
Type:	Required, Engineering, Laboratory
Prerequisites:	ECE 282 Numerical Techniques ECE 305 Control System ECE 305L Control System Laboratory ECE 308 Electronic Circuit II ECE 308L Electronic Circuit II Laboratory
Equivalent Course	EEE 382 Modelling and Simulation

B. Course Catalog Description (Content)
Modeling and Simulation is an essential tool for engineers for optimum design of dynamic systems and the course introduces the students the fundamentals of generating models of dynamic systems and implementation of the models using computer simulations in order to gain insight of any existing systems and to design of any system. The course essentially integrates and applies the knowledge gained in diverse and apparently disparate ranges of courses: mathematics, programming language, electrical and electronic circuit analysis, numerical techniques, signals and systems, control systems etc. The course starts with the Introduction to modelling and simulation, Principles of modelling in order to provide the fundamentals of modelling of systems. It then continues with the standard forms for system models and modelling of dynamic systems, which incorporate the following subsections: generation of system equations, electrical systems, linearity and nonlinearity of systems. Diverse methods of model representation: Differential equation, Laplace equations, input/output equation, stochastic models, state-space model: state variable formulation, nonlinear systems modeling are covered in the course. Implementation of the models are realized using computer simulation with MATLAB/Simulink. Finally, the following topics: introduction to system identification, parameter estimation, and optimization with modeling of engineering problems will enable the students to developing fundamental, but understanding of modelling and simulation of any dynamic system.

C. Course Objective:
The objectives of this course are to :
a. Provide knowledge of the basic steps of modelling of dynamic systems.
b. Enable students to generate mathematical equations from observation of the behavior of the dynamic system.
c. Enable the students to formulate state-space models.
d. Provide the skills to linearize nonlinear models.
e. Develop and employ the skills of simulation techniques to analyze/design, system identification and parameter estimations of systems.
f. Provide students with sound understanding and knowledge of programming and efficient coding to implement different numerical methods and concepts.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Illustrate a linear system through differential equation, transfer function, magnitude, impulse and step response
CO2	Apply the concept of state-space representation to model linear and nonlinear systems
CO3	Demonstrate the linearization of nonlinear system models
CO4	Develop a suitable model for a given system, with proper reasoning of the selection of model type and order, and compute the model error
CO5	Use appropriate simulation tools to simulate a given linear and non-linear system or model

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Illustrate a linear system through differential equation, transfer function, magnitude, impulse and step response	a	Cognitive/ Apply	Lab Lecture, Notes	Assignment, Lab Work, Lab Exam
CO2	Apply the concept of state-space representation to model linear and nonlinear systems	a	Cognitive/ Apply	Lab Lecture, Notes	Assignment, Lab Work, Lab Exam, Project
CO3	Demonstrate the linearization of nonlinear system models	a	Cognitive/ Create	Lab Lecture, Notes	Assignment, Lab Work, Lab Exam
CO4	Develop a suitable model for a given system, with proper reasoning of the selection of model type and order, and compute the model error	e	Cognitive/ Create	Lab Lecture, Notes	Assignment, Project
CO5	Use appropriate simulation tools to simulate a given linear and non-linear system or model	e	Cognitive/ Apply Psychomotor/Manipulation	Lab Class, Lectures, Tutorial	Assignment, Lab Work, Lab Exam, Project

F. Text and Reference Books:

Sl.

Title

Author(s)

Publication Year

Edition

Publisher

ISBN

1

Simulation of Dynamic Systems with MATLAB and Simulink

Harold Klee &

Randal Allen

2011

2nd

CRC Press

13: 978-1439836736

2

Modeling and Analysis of Dynamic Systems

Charles M. Close, Dean K. Frederick, Jonathan C. Newel

2012

3rd

Lippincott Williams & Wilkins

13: 978-8126539291

ECE 383 Electronic System Design

A. Course General Information:

Course Code:	ECE 383
Course Title:	Electronic System Design
Credit Hours (Theory + Laboratory):	0+1
Contact Hours (Theory + Laboratory):	0+3
Category:	Program Core
Type:	Required, Engineering, Laboratory
Prerequisites:	ECE 308 Electronic Circuits II ECE 308L Electronic Circuits II Laboratory ECE 359 Engineering Project Management
Co-requisites:	None
Equivalent Course	EEE 383 Electronic System Design

B. Course Catalog Description (Content):
This subject will explore the design of various electrical and electronic systems and provide students with a range of common and practical design techniques and circuits in the context of a laboratory based project. The course will start with the basics of any electronic system – component selection, PCB Designing and soldering. The students will then design subsystems which will include Phase-locked loops and frequency synthesis, variable frequency oscillators, tunable filters, power supply design with protection and sensor arrangements. The students will be assigned with the responsibility to investigate the electronic sub-systems they have learnt and incorporate two or more of them to design an electronic system of their own in groups.

C. Course Objective:
The objective of this course are to:
a. Provide students with the basics of single and double layered Printed Circuit Board (PCB) design and efficient component selection and bill of material preparation
b. Enable students to integrate different electrical and electronic subsystems to form a full-fledged electronic system
c. Introduce basic performance requirements of some common electronic subsystems and provide hands-on experience in their design

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Design and Implement fully functional electronic system by integrating different sub-systems
CO2	Demonstrate engineering project management and economic decision-making skills in electronic system design project
CO3	Perform effectively as an individual as well as a member of a team to develop electronic system design project

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
CO1	Design and Implement fully functional electronic system by integrating different sub-systems	c	Cognitive/ Create	Lab Class	Project review
CO2	Demonstrate engineering project management and economic decision-making skills in electronic system design project	k	Cognitive/ Apply	Lab class	Project review
CO3	Perform effectively as an individual as well as a member of a team to develop electronic system design project	i	Affective/ Valuing	Lab class	Project Review, Peer-evaluation

ECE 411 VLSI Design
ECE 411L VLSI Design Laboratory – v3
ECE 412 VLSI Design Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 411 ECE 411L
Course Title:	VLSI Design VLSI Design Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Elective
Type:	Optional, Engineering, Lecture + Laboratory
Prerequisites:	ECE 283 Digital Logic Design ECE 283L Digital Logic Design Laboratory ECE 309 Semiconductor Device Physics
Co-requisites:	None
Equivalent Course	EEE 411 VLSI Design EEE 411L VLSI Design Laboratory ECE 412 VLSI Design Laboratory (1.5 credits) – v1, v2 EEE 412 VLSI Design Laboratory (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
VLSI Design is a senior level course for Electrical Engineering and Computer Engineering major. The course covers the fundamental aspects of the design of a Very Large Scale Integrated (VLSI) circuit commonly known as IC or simply as chip. Basic trend in integrated circuit industry over the years involving different generations of integrated circuits are introduced in this course which lead to CMOS circuit design, capacitance and delay measurement and considerations. The students are introduced to the different steps of fabrication technology. Students learn structured design, PLA, subsystem design and memory elements designs in schematic and layout. The students are introduced to Verilog as hardware description language for synthesis of combinational and sequential devices and finite state machines.

C. Course Objective:
The objectives of this course are to
a. Introduce the fundamentals, implementation and applications of VLSI.
b. Provide students with sound understanding of fabrication technology and layout design of VLSI chips.
c. Introduce designing and using different systems including clocked sequential circuits, PLAs and memory systems.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Apply the knowledge of CMOS circuits in delay and capacitance calculation
CO2	Analyze different combinational and sequential circuits, systems and memory cells
CO3	Design basic arithmetic and logical unit and simple finite state machines
CO4	Use VLSL and VHDL tools to implement schematics and layout level and Finite State Machines for combinational and sequential circuits
CO5	Function effectively in a group environment to complete a design project
CO6	Demonstrate findings of Lab Work through reports and assignments

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 411 VLSI Design
CO1	Apply the knowledge of CMOS circuits in delay and capacitance calculation	a	Cognitive/ Apply	Lecture, Notes	Quiz, Exam
CO2	Analyze different combinational and sequential circuits, systems and memory cells	a	Cognitive/ Analyze	Lecture, Notes	Assignment, Exam
CO3	Design basic arithmetic and logical unit and simple finite state machines	c	Cognitive/ Create	Lecture, Notes	Assignment, Project
ECE 411L VLSI Design Laboratory
CO4	Use VLSL and VHDL tools to implement schematics and layout level and Finite State Machines for combinational and sequential circuits	e	Cognitive/ Apply Psychomotor/ Manipulation	Lab Class, Tutorial	Lab Work, Lab Exam, Project
CO5	Function effectively in a group environment to complete a design project	i	Affective/ Characterization	Lab Class, Tutorial	Project
CO6	Communicate findings of VLSI work through reports and assignments	j	Affective/ Valuing	Lab Class, Lecture	Lab Report, Project Report

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
01	CMOS Digital Integrated Circuits Analysis & Design	Sung-Mo (Steve) Kang, Yusuf Leblebici, Chul Woo Kim	2014	4th	McGraw-Hill Education	13: 978-0073380629
02	CMOS VLSI DESIGN A CIRCUITS AND SYSTEMS PERSPECTIVE	Neil H. E. Weste; Dave Harris	2010	4th	Pearson	13: 978-0321547743
03	Basic VLSI Design	Douglas A. Pucknell and Kamran Eshraghian	1994	3rd	Prentice Hall	0-13-079153-9
04	Design of VLSI Systems : A Practical Introduction	Linda E. M. Brackenbury	1987	1st	Scholium Int	13: 978-0333408216

ECE 441 Wireless and Mobile Communications
ECE 441L Wireless and Mobile Communications Laboratory – v3
ECE 442 Wireless and Mobile Communications Lab. (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 441 ECE 441L
Course Title:	Wireless and Mobile Communications Wireless and Mobile Communications Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Elective
Type:	Optional, Engineering, Lecture + Laboratory
Prerequisites:	ECE 341 Introduction to Communication Engineering. ECE 341L Introduction to Communication Engineering Laboratory.
Co-requisites:	None
Equivalent Course	EEE 441 Wireless and Mobile Communications EEE 441L Wireless and Mobile Communications Laboratory ECE 442 Wireless and Mobile Communications Lab. (1.5 credits) – v1, v2 EEE 442 Wireless and Mobile Communications Lab. (1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course provides introduction to basic principles of wireless mobile communication, concepts of cell and reusing resources such as time, frequency and codes. It begins with a brief discussion on fading mechanism and path loss models. Different types of diversity techniques (Time diversity, Frequency diversity, Code diversity etc.) are also discussed in the course. It also deals with different multiple access techniques such as FDMA, TDMA, CDMA and their applications. This course also covers the basics of GSM communication.

C. Course Objective:
The objectives of this course are to
a. Understand the modern communication technology, in particular in wireless communications, requires mathematical modeling and problem solving.
b. Apply mathematical modeling to problems in wireless communications.
c. Analyze and synthesize the wireless communication methods and algorithms within the field.
d. Formulate a mathematical model which is applicable and relevant in the practical field.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Explain concepts and fundamentals of cellular systems, frequency management, channel assignment, frequency reuse
CO2	Analyze the propagation models, multipath fading and base band impulse response models, multiple access schemes.
CO3	Apply the knowledge of Trunking and Erlang in capacity calculations.
CO4	Discuss the basic concepts of GSM technology.
CO5	Use hardware and software modules to perform experiments on various modulation schemes.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 441 Wireless and Mobile Communications
CO1	Explain concepts and fundamentals of cellular systems, frequency management, channel assignment, frequency reuse	a	Cognitive/ Understand	Lecture, Notes	Quiz, Assignment, Exam
CO2	Analyze the propagation models, multipath fading and base band impulse response models, multiple access schemes.	b	Cognitive/ Analyze	Lecture, Notes	Assignment, Exam
CO3	Apply the knowledge of Trunking and Erlang in capacity calculations.	a	Cognitive/ Apply	Lecture, Notes	Quiz, Assignment, Exam
CO4	Discuss the basic concepts of GSM technology.	a	Cognitive/ Understand	Lecture, Notes	Quiz, Assignment, Exam
ECE 441L Wireless and Mobile Communications Lab
CO5	Use hardware and software modules to perform experiments on various modulation schemes.	e	Cognitive/ Apply Psychomotor/ Manipulation	Lab Class, Lectures, Tutorial	Lab Work, Lab Exam

F. Text and Reference Books:

Sl.	Title	Author(s)	Publication Year	Edition	Publisher	ISBN
01	Wireless Communications	Andrea Goldsmith	June 2012	2^nd	Cambridge University Press	ISBN-10: 0521837162
02	Wireless Communications & Networking	Jon W. Mark & Weihua Zhuang	2002	2^nd	Prentice Hall	13: 978-0130409058
03	Mobile Communications Engineering: Theory and Applications	Lee W.C.Y.	1998	2^nd	McGraw-Hill, New York	13: 978-0070371033

ECE 445 Digital Communications
ECE 445L Digital Communications Laboratory – v3
ECE 446 Digital Communications Laboratory (1.5 credits) – v1, v2

A. Course General Information:

Course Code:	ECE 445 ECE 445L
Course Title:	Digital Communications Digital Communications Laboratory
Credit Hours (Theory + Laboratory):	3 + 1
Contact Hours (Theory + Laboratory):	3 + 3
Category:	Program Elective
Type:	Optional, Engineering, Lecture + Laboratory
Prerequisites:	ECE 341 Introduction to Communication Engineering ECE 341L Introduction to Communication Engineering Laboratory
Co-requisites:	None
Equivalent Course	EEE 445 Digital Communications EEE 445L Digital Communications Laboratory ECE 446 Digital Communications Laboratory(1.5 credits) – v1, v2 EEE 446 Digital Communications Laboratory(1.5 credits) – v1, v2

B. Course Catalog Description (Content):
This course provides introduction to the review of modern digital communication system, Probability, Random variables and Random processes. It begins with a brief discussion on Mathematical models of information and Entropy measurement of a source. It deals with different source coding techniques like Shannon Fano coding, Huffman coding and Lemple-Ziv coding. The course also provides insight about Channel models and capacities and selection of codes: Block codes and Conventional codes for channel coding purpose. Detailed discussion about Base band digital communication, inter-symbol interference, bandwidth, power efficiency, modulation and coding trade-off are provided. This course also covers the scope of REEEiver for AWGN channels: Correlation demodulator, Matched filter demodulator and Maximum likelihood rEEEiver.

C. Course Objective:
The objectives of this course are to
a. Introduce the core concepts and fundamental elements of digital communication system.
b. Familiarize students with different coding schemes and performance analysis of modern digital communication systems.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Description
CO1	Discuss various source coding algorithms with practical implementation as well as different channel models and capacity for channel coding purpose.
CO2	Explain different channel models and capacity for channel coding purpose.
CO3	Compare between the performances of different rEEEiver models for AWGN channel.
CO4	Analyze signal rate, data rate and bandwidth requirement for different line coding scheme.
CO5	Use simulation tools to perform experiments on various aspects of digital communication.

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	POs	Bloom’s taxonomy domain/level	Delivery methods and activities	Assessment tools
ECE 445 Digital Communications
CO1	Discuss various source coding algorithms with practical implementation as well as different channel models and capacity for channel coding purpose.	a	Cognitive/ Understand	Lecture, Notes	Quiz, Exam
CO2	Explain different channel models and capacity for channel coding purpose.	a	Cognitive/ Understand	Lecture, Notes	Quiz, Exam
CO3	Compare between the performances of different rEEEiver models for AWGN channel.	a	Cognitive/ Evaluate	Lecture, Notes	Assignment, Exam
CO4	Analyze signal rate, data rate and bandwidth requirement for different line coding scheme.	b	Cognitive/ Analyze	Lecture, Notes	Assignment, Exam
ECE 445L Digital Communications Laboratory
CO5	Use simulation tools to perform experiments on various aspects of digital communication.	e	Cognitive/ Apply Psychomotor/ Manipulation	Lab Class, Lectures, Tutorial	Lab Exam, Report,

BSECE - Final Year Design Project

ECE 402 Final Year Design Project (4.5 Credits) – V1, V2
ECE 499 Final Year Design Project (4 Credits) – V3
A. Course General Information:

Course Code and Title		Credit Hours	Contact Hours/Week	Goal	Semester
ECE 400P Final Year Design Project		1.5	3	Problem Identification and Project Proposal	Semester 1 of final year design project
ECE 499P Final Year Design Project		1
ECE 400D Final Year Design Project		1.5	3	Design and Development	Semester 2 of final year design project
ECE 499D Final Year Design Project		1.5
ECE 400C Final Year Design Project		1.5	3	Validation and Project Completion	Semester 3 of final year design project
ECE 499C Final Year Design Project		1.5
Category:		Program Core
Type:		Required, Engineering
Prerequisites	ECE 400P	MGT211, ACT201, ECE343, ECE344, ECE365, ECE366, ECE411, ECE412, (ECE441/ ECE445), (ECE442/ECE446 )
	ECE 400D	ECE 400P
	ECE 400C	ECE 400 D
	ECE 499P	ECE305, ECE305L, ECE341, ECE341L, ECE343, ECE343L, ECE359, ECE369, ECE373, ECE373L, ECE 382, ECE383, (ECE441/ ECE445), (ECE441L/ECE445L )
	ECE 400D	ECE 499P
	ECE 400C	ECE 499D
Co-requisites:		None
Credit requirements:		At least 100 credit hours completed

B. Course Catalog Description (Content):
The Final Year Design Project (FYDP) is the first step towards transferring students experience from the academic environment to the industry. The course provides a culminating assessment of the students by applying and integrating their previously acquired knowledge to the solution of complex electrical and electronic engineering problem. The primary focus of the Final Year Design Project is to improve the students' technical skills, communication skills and teamwork opportunities through an electrical and electronic engineering project development work. It also focuses on variety of non-technical issues such as professional and ethical responsibilities and practices, safety, reliability, legal cultural, social and environmental impacts as well as sustainability of engineering solution

The Final Year Design Project course consists of two parts: Instructional Part and Technical Demonstration Part. The major topics covered in the Instructional Part include:
• Overview of the Final Year Design Project course, student learning outcomes, expectation, assessment, checklist etc.
• Introduction to engineering design process including formulation of problem, analysis of objectives, specifications and requirements, consideration of realistic constraints, engineering standards and impact of engineering solutions, design of solution, implementation, evaluation and validation of the solution
• Review of project proposal preparation, estimating, project management and scheduling etc.
• Review of engineering ethics and professional practices
• Safety in engineering design.
• Contemporary issues and life-long learning
• Report writing and presentation techniques
• Teamwork building

The Technical Demonstration part primarily includes various activities including (but not limited to):
• Literature review and research
• Identification and formulation of project problem
• Analysis of objectives, specifications and requirements,
• Project plan, proposal and management
• Implementation of design process
• Design reviews, simulation and finalization
• Development of solution, testing and validation
• Documentation, drawings, written reports, oral presentation etc.

C. Course Objectives:
The objectives of the Final Year Design Project are to:
a. Provide students opportunity to apply and integrate their previously acquired engineering knowledge to the solution of engineering problem
b. Enhance student’s creativity in analyzing and solving complex and possibly real-world engineering problems.
c. Train students with skills on systematic design and development process and documentation to the solution of engineering project
d. Prepare student to develop and enhance self-learning ability.
e. Prepare students experience of engineering project development that will be useful in their industrial careers.
f. Aware students regarding professional practices, norms and ethical responsibilities in regards to designing engineering solution
g. Prepare student to understand and evaluate the impact of engineering solutions to the society, health, safety, reliability, legal, cultural social
h. Prepare students to understand and evaluate the sustainability and impact of engineering solution towards environment
i. Create an environment to promote team approach in engineering problem solving
j. Develop communication skill among students through complex activities, technical report writing, oral presentations etc.

D. Course Outcomes (COs):
Upon successful completion of this course, students will be able to

Sl.	CO Definition
CO1	Identify a solvable complex engineering problem preferably relevant to the current and future industry through appropriate research
CO2	Identify the objectives, specifications, functional and non-functional requirements, and constraints as well as applicable compliance, standards and codes of practice to the solution of the engineering problem
CO3	Assess the impact of the solution of the engineering project in terms of societal, health, safety, legal and cultural context
CO4	Evaluate the sustainability and impact of solution of the proposed project in terms of environmental consideration
CO5	Design multiple engineering solutions of the problem to meet the desired objectives, need and requirements within the given constraints
CO6	Analyze alternative design solutions of engineering problem in order to find the most appropriate one considering cost, efficiency, usability, manufacturability, impact, sustainability, maintainability etc.
CO7	Evaluate the performance of the developed solution with respect to the given specifications, requirements and standards
CO8	Complete the final design and development of the solution with nEEEssary adjustment based on performance evaluation
CO9	Use modern engineering and IT tools to design , develop and validate the solution
CO10	Conduct independent research, literature survey and learning of new technologies and concepts as appropriate to design, develop and validate the solution
CO11	Demonstrate project management skill in various stages of developing the solution of engineering design project
CO12	Perform cost-benefit and economic analysis of the solution
CO13	Apply ethical considerations and professional responsibilities in designing the solution and throughout the project development phases
CO14	Perform effectively as an individual and as a team member for successfully completion of the project
CO15	Communicate effectively through writings, journals, technical reports, deliverables, presentations and verbal communication as appropriate at various stages of project development

E. Mapping of CO-PO-Taxonomy Domain & Level- Delivery-Assessment Tool:

Sl.	CO Description	PO	Bloom’s Taxonomy Domain/Level	Assessment Tools
CO1	Identify a solvable complex engineering problem preferably relevant to the current and future industry through appropriate research	l	Cognitive/ Understand	· Project Concept Note
CO2	Identify the objectives, specifications, functional and non-functional requirements, and constraints as well as applicable compliance, standards and codes of practice to the solution of the engineering problem	c	Cognitive/ Apply	· Project Concept Note
CO3	Assess the impact of the solution of the engineering project in terms of societal, health, safety, legal and cultural context	f	Cognitive/ Evaluate	· Project Proposal Report
CO4	Evaluate the sustainability and impact of solution of the proposed project in terms of environmental consideration	g	Cognitive/ Evaluate	· Project Proposal Report
CO5	Design multiple engineering solutions of the problem to meet the desired objectives, need and requirements within the given constraints	c	Cognitive/ Create	· Design Report
CO6	Analyze alternative design solutions of engineering problem in order to find the most appropriate one considering cost, efficiency, usability, manufacturability, impact, sustainability, maintainability etc.	b	Cognitive/ Evaluate	· Design Report
CO7	Evaluate the performance of the developed solution with respect to the given specifications, requirements and standards	d	Cognitive/ Evaluate	· Demonstration of working prototype · Project Progress Report on working prototype
CO8	Complete the final design and development of the solution with nEEEssary adjustment based on performance evaluation	c	Cognitive/ Create	· Project Final Report · Final Presentation · Demonstration at FYDP Showcase
CO9	Use modern engineering and IT tools to design , develop and validate the solution	e	Cognitive/ Understand, Psychomotor/ Precision	· Design Report · Project Final Report
CO10	Conduct independent research, literature survey and learning of new technologies and concepts as appropriate to design, develop and validate the solution	l	Cognitive/ Apply	· Design Report, · Project Final Report
CO11	Demonstrate project management skill in various stages of developing the solution of engineering design project	k	Cognitive/ Apply Affective/ Valuing	· Project Proposal Report · Design Report · Project Final Report · Project Progress presentation at various stages
CO12	Perform cost-benefit and economic analysis of the solution	k	Cognitive/ Apply	· Project Final Report
CO13	Apply ethical considerations and professional responsibilities in designing the solution and throughout the project development phases	h	Cognitive/ Apply Affective/ Valuing	· Peer-evaluation, · Instructor’s Assessment · Final Report
CO14	Perform effectively as an individual and as a team member for successfully completion of the project	i	Affective/ Characterization	· Peer-evaluation · Instructor’s Assessment
CO15	Communicate effectively through writings, journals, technical reports, deliverables, presentations and verbal communication as appropriate at various stages of project development	j	Cognitive/ Understand Psychomotor/ Precision Affective/ Valuing	· Project Concept Notes, · Project Proposal Report · Design Report, Project Final Report · Progress Presentations, · Final Presentation · Demonstration at FYDP Showcase

Program Elective Courses

Placement and Further Study Opportunities

Look no further than BRAC University for your EEE or ECE career start! Our innovative programs will provide you with the knowledge and skills you need to succeed and open doors to interesting placement and study opportunities. EEE and ECE students should take advantage of many networking opportunities because we prioritize hands-on education. Our relationship with industry specialists such as Walton and Neural Semiconductor allows us to offer hands-on experience that enhances your education. Our extensive professional network through the faculties can also provide job openings and real-world projects.

Students leave our EEE and ECE programs well-prepared for their further studies. Our international connections with top academic institutions such as Kyushu Institute of Technology, Japan and research organizations will enable collaborative research. Our MScEEE and MENGGEEE programs cover renewable energy, Control & Applications.

BRAC University helps students reach their potential with resources and support. Our EEE and ECE programs will prepare you for a successful profession and study possibilities in the US, Canada, Europe and abroad. Explore the endless possibilities of electrical and electronic engineering with us today!

Facilities and Support

Laboratories facilities

•   Electrical Circuits Lab
•   Electronic Circuits Lab
•   Energy Conversion Lab
•   Control Systems Lab
•   Communication Lab
•   Computer Lab
•   Power Systems Lab
•   Power electronics Lab
•   Switchgear & Protection Lab
•   Microprocessor and Embedded System Lab
•   VLSI Lab

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