Undergraduate Programs

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Department of Electrical and Electronic Engineering (EEE)

Electrical and Electronic Engineering (EEE) plays a vital role in modern civilization. Almost all aspects of modern human lives are affected by EEE. The Department of EEE offers the B.Sc. program in EEE with a view to producing engineering leaders who are compassionate and ethical members of the society.

Vision statement: To create excellent engineers instilled with quality education, human values and professional ethics.

Mission statement: The department is dedicated to endow students with knowledge, skills and values that prepare them to excel as leading engineering professionals and responsible citizens committed to life-long learning.

Program Educational Objectives (PEO) for the B.Sc. in EEE: PEOs are broad statements that describe the career and professional accomplishments that the B.Sc. in EEE program is preparing graduates to achieve. Graduates of the B.Sc. in EEE program are expected to attain the following PEO’s within a few (3 – 5) years of graduation.

PEO-1: Establish themselves as leading engineering professionals or in advanced study and research.
PEO-2: Contribute to the society through the use of electrical and electronic engineering principles, practices and tools in an ethical and responsible manner.
PEO-3: Continue to learn and address evolving challenges in electrical and electronic engineering.

Graduate Attributes (GA) or Program Outcomes (PO) for the B.Sc. in EEE: POs are narrower statements that describe what students are expected to know and be able to do by the time of graduation. These relate to the knowledge, skills and attitudes that students acquire while progressing through the program. The students of the B.Sc. in EEE program are expected to achieve the following graduate attributes or program outcomes at the time of graduation.

PO1 – Engineering knowledge: Apply knowledge of mathematics, natural science, engineering fundamentals and an engineering specialization as specified in K1 to K4 respectively to the solution of complex electrical and electronic engineering problems.

PO2 – Problem analysis: Identify, formulate, research literature and analyze complex electrical and electronic engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences. (K1 to K4)

PO3 – Design/development of solutions: Design solutions for complex electrical and electronic 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. (K5)

PO4 – Investigation: Conduct investigations of complex electrical and electronic engineering problems using research-based knowledge (K8) and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

PO5 – Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex electrical and electronic engineering problems, with an understanding of the limitations. (K6)

PO6 – 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 electrical and electronic engineering problems. (K7)

PO7 – Environment and sustainability: Understand and evaluate the sustainability and impact of professional engineering work in the solution of complex electrical and electronic engineering problems in societal and environmental contexts. (K7)

PO8 – Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. (K7)

PO9 – Individual work and teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO10 – Communication: Communicate effectively on complex electrical and electronic engineering activities with the 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.

PO11 – 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.

PO12 – 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.

The B.Sc. in EEE program is also committed to ensure that its curriculum encompasses all the attributes of Knowledge Profile (K1 – K8) as presented in Table 1 and as included in the PO statements. The ranges of Complex Problem Solving (P1 – P7) and Complex Engineering Activities (A1 – A5) that should be addressed in the program are given in Tables 2 and 3, respectively.

Table 1: Knowledge Profile

S.No.	Attribute
K1	A systematic, theory-based understanding of the natural sciences applicable to the discipline
K2	Conceptually based mathematics, numerical analysis, statistics and the formal aspects of computer and information science to support analysis and modeling applicable to the discipline
K3	A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline
K4	Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline, much of which is at the forefront of the discipline
K5	Knowledge that supports engineering design in a practice area
K6	Knowledge of engineering practice (technology) in the practice areas in the engineering discipline
K7	Comprehension of the role of engineering in society and identified issues in engineering practice in the discipline: ethics and the engineer’s professional responsibility for public safety; the impacts of engineering activity; economic, social, cultural, environmental and sustainability
K8	Engagement with selected knowledge in the research literature of the discipline

Table 2: Range of Complex Engineering Problem Solving

Attribute	Complex Engineering Problems have characteristic P1 and some or all of P2 to P7:
Depth of knowledge required	P1: Cannot be resolved without in-depth engineering knowledge at the level of one or more of K3, K4, K5, K6 or K8, which allows for a fundamentals-based, first principles analytical approach
Range of conflicting requirements	P2: Involves wide-ranging or conflicting technical, engineering and other issues
Depth of analysis required	P3: There is no obvious solution, and abstract thinking and originality in analysis are required to formulate suitable models
Familiarity of issues	P4: Involves infrequently encountered issues
Extent of applicable codes	P5: Are outside problems encompassed by standards and codes of practice for professional engineering
Extent of stakeholder involvement and conflicting requirements	P6: Involves diverse groups of stakeholders with widely varying needs
Interdependence	P7: High level problems including many component parts or sub-problems

Table 3: Range of Complex Engineering Activities

Attribute	Complex activities means (engineering) activities or projects that have some or all of the following characteristics:
Range of resources	A1: Involves the use of diverse resources (for this purpose, resources include people, money, equipment, materials, information and technologies)
Level of interaction	A2: Requires resolution of significant problems arising from interactions among wide-ranging or conflicting technical, engineering or other issues
Innovation	A3: Involves creative use of engineering principles and research-based knowledge in novel ways
Consequences for society and the environment	A4: Has significant consequences in a range of contexts; characterized by difficulty of prediction and mitigation
Familiarity	A5: Can extend beyond previous experiences by applying principles-based approaches

Table 4: Mapping between PO’s and PEO’s

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

PEO1

PEO2

PEO3

Curriculum of Bachelor of Science (B.Sc.)

Curriculum of Bachelor of Science (B.Sc.) in Electrical and Electronic Engineering (EEE)

a.	General Education Requirement:	21 credits
b.	Core Requirement:	93 credits
c.	Elective Requirement:	20 credits
d.	Final Year Design Project Requirement:	6 credits
Total:		140 credits

A. General Education Requirement (21 credits)

(i) Compulsory General Education Courses		12 credits
ENG 101	Basic English	3
ENG 102	Composition and Communication Skills	3
GEN 226	Emergence of Bangladesh	3
EEE 399	Engineering Project Management	3
(ii) Optional General Education Courses		6 credits
	Choose any two approved General Education courses
(iii) Optional Course from non-Engineering Subjects		3 credits
	Choose one course

B. Core Courses (93 credits)

EEE 101	Electrical Circuits I	3+1=4
EEE 102	Electronic Circuits I	3+1=4
EEE 105	Computer Programming	3+1=4
EEE 201	Electrical Circuits II	3+1=4
EEE 202	Electronic Circuits II	3+1=4
EEE 204	Numerical Analysis for Electrical Engineering	3+1=4
EEE 205	Digital Logic Design	3+1=4
EEE 300	Electrical Services Design	3+0=3
EEE 301	Electrical Machines	3+1=4
EEE 302	Microprocessors and Interfacing	3+1=4
EEE 303	Signals and Linear Systems	3+0=3
EEE 304	Electrical Power Systems	3+1=4
EEE 305	Electromagnetic Fields and Waves	3+0=3
EEE 307	Telecommunication Engineering	3+1=4
EEE 308	Electronic Properties of Materials	3+0=3
EEE 309	Digital Signal Processing	3+1=4
EEE 402	Control Systems	3+1=4
EEE 403	Engineer and Society	3+0=3
CHE 101	Introduction to Chemistry	3+1=4
MAT 101	Differential and Integral Calculus	3+0=3
MAT 102	Differential Equations and Special Functions	3+0=3
MAT 104	Co-ordinate Geometry and Vector Analysis	3+0=3
MAT 205	Linear Algebra and Complex Variables	3+0=3
PHY 109	Engineering Physics – I (Introductory Classical Physics)	3+1=4
PHY 209	Engineering Physics – II (Introductory Quantum Physics)	3+0=3
STA 102	Statistics and Probability	3+0=3

C. Elective Courses (20 Credits)

Students have to choose six elective courses (ELTV1-ELTV6) taking three courses from the major group of the students’ choice. The remaining three courses have to be taken from at least two other groups. Out of six elective courses, at least two of these have to be 4 credits course, of which one from major and one from other groups.

GROUP A (Electronics)

EEE 413	Fundamentals of Nanotechnology	3+0=3
EEE 414	Optoelectronics	3+0=3
EEE 415	Semiconductor Processing and Fabrication	3+1=4
EEE 416	VLSI Circuits and Systems	3+1=4
EEE 417	Semiconductor Devices	3+0=3
EEE 418	Analog Integrated Circuits	3+1=4
EEE 419	Biomedical Electronics	3+0=3

GROUP B (Communication Engineering and Signal Processing)

EEE 421	RF and Microwave Engineering	3+1=4
EEE 422	Digital Communications	3+1=4
EEE 423	Wireless and Mobile Communications	3+1=4
EEE 425	Digital Image Processing	3+0=3
EEE 426	Advanced Telecommunication Engineering	3+0=3

GROUP C (Computer Engineering)

EEE 433	Computer Networks	3+1=4
EEE 434	Computer Architecture	3+1=4
EEE 435	Embedded Systems	3+1=4
CSE 436	Multimedia Design and Development	3+0=3
CSE 450	Data Structure and Algorithm	3+1=4

GROUP D (Power Engineering)

EEE 441	Power Stations	3+0=3
EEE 442	Switchgear and Protective Relays	3+1=4
EEE 444	High Voltage Engineering	3+0=3
EEE 445	Renewable Energy	3+0=3
EEE 446	Power System Operation and Reliability	3+0=3
EEE 447	Power Electronics	3+1=4

Special elective courses

EEE 450	Special Topic in Electrical and Electronic Engineering	3+0=3
EEE 490	Research Project	3+0=3

D. Design Project

EEE 400A	Final Year Design Project (part 1 of 3)	0+1=1
EEE 400B	Final Year Design Project (part 2 of 3)	0+2=2
EEE 400C	Final Year Design Project (part 3 of 3)	0+3=3

Legends

OGEC	Optional General Education Courses.
ONEC	Optional Courses from non-Engineering courses.
ELTV	Elective Courses

Table 5: Flow-Chart for Courses to be followed during the FOUR YEARS of the Undergraduate Program of EEE (Numbers in parentheses indicate Credits)

Semester	Year I		Year II		Year III		Year IV
I	PHY 109	(4)	STA 102	(3)	EEE 301	(4)	EEE 402	(4)
	MAT 101	(3)	EEE 102	(4)	EEE 302	(4)	EEE 403	(3)
	CHE 101	(4)	OGEC-I	(3)	EEE 303	(3)	ELTV-I	(3/4)
			GEN 226	(3)			EEE 400A	(1)
		(11)		(13)		(11)		(11/12)
II	ENG 101	(3)	OGEC-II	(3)	EEE 300	(3)	ELTV-II	(3/4)
	MAT 102	(3)	MAT 205	(3)	EEE 304	(4)	ELTV-III	(3/4)
	EEE 101	(4)	EEE 202	(4)	EEE 305	(3)	ELTV-IV	(3/4)
			ONEC-I	(3)	EEE 399	(3)	EEE 400B	(2)
		(10)		(13)		(13)		(11/14)
III	ENG 102	(3)	PHY 209	(3)	EEE 307	(4)	ELTV-V	(3/4)
	MAT 104	(3)	EEE 204	(4)	EEE 308	(3)	ELTV-VI	(3/4)
	EEE 105	(4)	EEE 205	(4)	EEE 309	(4)	EEE 400C	(3)
	EEE 201	(4)
		(14)		(11)		(11)		(09/11)

Assessment and grading: assessment of students’ performance in a course is an important task that relates to assigning grades, assessing attainment of course outcomes and giving feedback. The selection of appropriate assessment tools in a course depends on many factors, such as, the course outcomes, the topics, the course level, available resources, and the delivery of course contents. Alignment of the assessment tools in a course with the course outcomes, and delivery of contents is essential. Traditional exam based assessment tools are not suitable for assessing many of the course outcomes, especially those related to professional skills. Alternative methods to assess such outcomes may include practical projects, design projects, formal reports and presentations, hands-on activities in the lab, etc. Rubrics are in particular suitable for evaluating students’ works under non-exam assessment tools. A rubric allows interpretation and grading of the student work using pre-set marking criteria or indicators and expected performance standards. The grades assigned to students in any course should be based on formal assessment and should be consistent with the university grading policy.

Table 6: Mapping of Course Outcomes (CO’s) of EEE core courses to Program

Outcomes (PO’s)

Course#

PO1

EEE101

EEE102

EEE105

EEE201

EEE202

EEE204

EEE205

EEE300

EEE301

EEE302

EEE303

EEE304

EEE305

EEE307

EEE308

EEE309

EEE399

EEE402

EEE403

EEE400A

EEE400B

EEE400C

Table 7: Mapping of selected courses to POs along with Knowledge Profile (K1 – K8), Complex Engineering Problem Solution (P1 – P7) and Complex Engineering Activities (A1 – A5)