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BSc in CSE

59 courses available • 2 curriculums available

Program Outcomes

You Should Know

Program Learning Outcomes (PLOs) are the most important aspect of your engineering education, aligned with the Washington Accord standards. These are high-level competencies you'll achieve upon graduation. PLOs are attained through Course Learning Outcomes (CLOs), where each CLO maps to a specific PLO. We measure your progress using Bloom's Taxonomy across all 3 domains (Cognitive K1-K6, Affective A1-A5, Psychomotor P1-P5) and measuring tools Knowledge Profiles (K1-K8), Problem Attributes (P1-P7), and Activity Attributes (A1-A5) to ensure comprehensive development in all domains throughout your 4-year journey.

The marks distribution of your BSc in CSE Program is as follows:

Bloom's Taxonomy Levels

Cognitive (K1-K6)

Level	T	Mk	%
K1: Remember – Recall facts and basic concepts	63	1443	36.7%
K2: Understand – Explain ideas or concepts	32	339	8.6%
K3: Apply – Use information in new situations	76	1345	34.2%
K4: Analyze – Break information into parts / Compare	29	440	11.2%
K5: Evaluate – Justify decisions / Judge value	4	15	0.4%
K6: Create – Produce new or original work	6	90	2.3%

Affective (A1-A5)

Level	T	Mk	%
A1: Receiving – Awareness / Willingness to listen	0	0	0.0%
A2: Responding – Participation / Active engagement	1	20	0.5%
A3: Valuing – Acceptance of values / Commitment	3	38	1.0%
A4: Organizing – Integrating values / Prioritizing	0	0	0.0%
A5: Characterizing – Consistent value-driven behavior	1	8	0.2%

Psychomotor (P1-P5)

Level	T	Mk	%
P1: Imitation – Copying actions / Following demonstration	0	0	0.0%
P2: Manipulation – Performing with guidance	4	62	1.6%
P3: Precision – Accurate, independent performance	0	0	0.0%
P4: Articulation – Coordinated, combined skills	0	0	0.0%
P5: Naturalization – Automatic, mastery-level performance	0	0	0.0%

Program Learning Outcomes (PLOs)

PLO & Title	T	Marks	%
PLO1: Engineering Knowledge	67	844	22.2%
PLO2: Problem Analysis	49	877	23.1%
PLO3: Design/Development of Solutions	49	1130	29.7%
PLO4: Investigation	5	97	2.6%
PLO5: Modern Tool Usage	19	403	10.6%
PLO6: The Engineer and Society	6	103	2.7%
PLO7: Environment and Sustainability	1	12	0.3%
PLO8: Ethics	1	5	0.1%
PLO9: Individual and Team Work	7	109	2.9%
PLO10: Communication	13	196	5.2%
PLO11: Project Management and Finance	1	20	0.5%
PLO12: Life-long Learning	1	4	0.1%

Knowledge Profiles (K)

Profile	T	Marks	%
K1: Systematic Natural Sciences (Physics, Chemistry, Biology)	0	0	0.0%
K2: Conceptually Based Math/Stats (Analytical tools and models)	10	10	2.2%
K3: Theory-Based Engineering Fmntls (Core engineering principles)	20	347	74.6%
K4: Specialist Knowledge/Forefront (Advanced, niche discipline knowledge)	1	0	0.0%
K5: Engineering Design Support (Knowledge for creating solutions)	3	30	6.5%
K6: Engineering Practice (Technology) (Application of techniques/tools)	3	75	16.1%
K7: Role in Society & Ethics (Impacts, responsibility, safety)	1	3	0.6%
K8: Research Literature Engagement (Using published academic research)	0	0	0.0%

Problem Attributes (P)

Attribute	T	Marks	%
P1: In-Depth Knowledge Required (Needs K1-K8 level knowledge)	14	219	75.8%
P2: Wide-Ranging/Conflicting Req. (Involves multiple disciplines/issues)	2	0	0.0%
P3: No Obvious Solution/Abstract (Requires originality and modeling)	5	50	17.3%
P4: Infrequently Encountered Issues (Problems outside routine experience)	0	0	0.0%
P5: Outside Standards/Codes (Solution goes beyond standard practices)	0	0	0.0%
P6: Diverse Stakeholder Needs (Many groups with varying, complex needs)	0	0	0.0%
P7: Many Interdependent Parts (High-level system with sub-problems)	2	20	6.9%

Activity Attributes (A)

Activity	T	Marks	%
A1: Diverse Resource Use (Involves people, money, equipment, etc.)	7	120	100.0%
A2: Resolve Significant Conflicts (Managing wide-ranging/conflicting issues)	1	0	0.0%
A3: Creative Use of Principles (Applying novel or unconventional methods)	1	0	0.0%
A4: Significant Consequences (High risk/difficulty in prediction)	0	0	0.0%
A5: Beyond Previous Experience (Applying principles-based, non-routine approaches)	1	0	0.0%

Year 1, Semester 1

Theory Courses

CSE 101 Theory

Year 1, Semester 1

Computer Fundamentals and Programming

3.0 Cr • 3 Hr

All Courses

BSc in CSE

You Should Know

The marks distribution of your BSc in CSE Program is as follows:

Bloom's Taxonomy Levels

Cognitive (K1-K6)

Affective (A1-A5)

Psychomotor (P1-P5)

Program Learning Outcomes (PLOs)

Knowledge Profiles (K)

Problem Attributes (P)

Activity Attributes (A)

Year 1, Semester 1

Theory Courses

Computer Fundamentals and Programming

English

Bangladesh Studies: History, Society, and Culture

Math-I : Calculus I

Physics for Computer Science

Laboratory Courses

Computer Fundamentals and Programming Lab

Physics for Computer Science Lab

Year 1, Semester 2

Theory Courses

Chemistry

Structured Programming

Discrete Mathematics

Electrical Circuits

Math-II: Calculus II

Laboratory Courses

Structured Programming Lab

Competitive Programming

Electrical and Electronic Engineering I Lab

Year 2, Semester 1

Theory Courses

Object-Oriented Programming I

Data Structures and Algorithms I

ICT Law, Policy, and Ethics

Electronic Devices and Circuits

Math III: Vector Geometry and Linear Algebra

Laboratory Courses

Object-Oriented Programming I Lab

Data Structures and Algorithms Lab I

Electronic Devices and Circuits Lab

Year 2, Semester 2

Theory Courses

Data Structures and Algorithms II

Digital Logic Design

Database Systems

Engineering Economics

Math-IV: Probability and Statistics

Laboratory Courses

Data Structures and Algorithms II Lab

Digital Logic Design Lab

Database Systems Lab

Year 3, Semester 1

Theory Courses

Bioinformatics Engineering

Business and Entrepreneurship

Object Oriented Programming II: Visual and Web Programming

Object Oriented Programming II: Visual and Web Programming Lab

Computer Architecture

Systems Analysis and Design

Project Management and Strategy

Technical Writing and Presentation

Year 3, Semester 2

Theory Courses

Data Communication and Computer Networks

Software Engineering

Microprocessors and Microcontrollers

Computer and Cyber Security

Modern and Quantum Physics

Laboratory Courses

Data Communication and Computer Networks Lab

Software Engineering Lab

Microprocessors and Microcontrollers Lab

Operating System Lab

Year 4, Semester 1

Theory Courses

Operating System