Bachelor of Computer Engineering

The Department of Computer Engineering at Bahria University is home to multidisciplinary research and academic units that address issues and recent advances in Computer Engineering. The department provides research areas and cutting edge facilities in Computer engineering. Our Goal has been, and continues to be, to provide a high degree programme in Computer and Software Engineering, a programme that prepares students for lifelong learning as they take on professional careers in computing.

If you are interested in math, science, and computers, you should consider a degree in computer engineering. Engineers like to innovate, be creative, work in teams, explore how things work, design new products, and solve problems. As computers continue to integrate themselves into our everyday lives there is a need for engineers who understand their principles of operation and how to innovate new applications. Computer engineers continually push the capability and applicability of computers in every industry and every facet of modern life.

Vision Statement

The Computer Engineering Department is committed to prepare students for professional and research activities with an ability to learn independently, within a diverse multi-cultural environment, and enabling them to become global leaders in their respective fields.

Mission Statement

The mission of Bachelor Computer Engineering program is to produce ethically sound and technically competent graduates who can fulfill the evolving needs of academia, industry and society.

 

 

 

University Vision & Program Mission

Program Educational

Objectives(PEOs)

1 2 3 4
Vision To become a knowledge and creativity driven international university that contributes towards development of society.

 

* * * *
Mission The mission of Bachelor of Computer Engineering program is to produce ethically sound and technically competent graduates who can fulfill the evolving needs of academia, industry and society. *
* * *

Program Educational Objectives (PEOs)

Graduates of Computer Engineering Program are expected to achieve the following Program Educational Objectives for BCE program.

PEO 1: Attain an ability to identify and solve challenging problems in their professions by applying theory, principles and modern tools learnt during degree program.

PEO 2: Demonstrate effective communication as an individual or team player with strong managerial and entrepreneurial skills.

PEO 3: Maintain highest ethical and professional standards in pursuing their careers.

PEO 4: Engage in life-long learning to continually polish their professional capabilities for their personal growth and the betterment of society.

Program Learning Outcomes (PLOs)

The Computer Engineering program prepares students to attain the program educational objectives by ensuring that students demonstrate achievement of the following graduate attributes.

PLO-1 Engineering Knowledge: An ability to apply knowledge of mathematics, computer engineering fundamentals and computer engineering specialization to the solution of complex engineering problems.

PLO-2 Problem Analysis: An ability to identify, formulate, research literature and analyze complex computer engineering problems reaching substantiated conclusions using engineering and natural sciences principles.

PLO-3 Design/Development of Solutions: An ability to design solutions for complex computer engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health & safety, cultural, societal, and environmental considerations.

PLO-4 Investigation: An ability to investigate complex engineering problems in a methodical way including literature survey, design and conduct of experiments, analysis and interpretation of experimental data, and synthesis of information to derive valid conclusions.

PLO-5 Modern Tool Usage: An ability to create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.

PLO-6 The Engineer and Society: An ability to 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 solution to complex engineering problems.

PLO-7 Environment and Sustainability: An ability to understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PLO-8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PLO-9 Individual and Team Work: An ability to work effectively, as an individual or in a team, on multifaceted and /or multidisciplinary settings.

PLO-10 Communication: Ability to communicate effectively, orally as well as in writing, on complex 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.

PLO-11 Project Management: Ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment.

PLO-12 Lifelong Learning: Ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

PEOs and PLOs Mapping

 

    PEO 1 PEO 2 PEO 3 PEO 4
PLO 1 Engineering Knowledge
PLO 2 Problem Analysis
PLO 3 Design/Development of Solutions
PLO 4 Investigation
PLO 5 Modern Tool Usage
PLO 6 The Engineer and Society
PLO 7 Environment and Sustainability
PLO 8 Ethics
PLO 9 Individual and Team Work
PLO 10 Communication
PLO 11 Project Management
PLO 12 Lifelong Learning
Semester 1
S.

No.

Pre-

Req

Course Code Course Title Theory Lab Total
1 None GSC 110 Applied Calculus & Analytical Geometry 3 0 3
2 None ISL 101 /HSS 116 Islamic Studies / Ethics 2 0 2
3 None CSC 110 Computing Fundamentals 2 1 3
4 None GSC 113 Applied Physics 3 1 4
5 None ENG 105 Functional English 3 0 3
6 None EEL 112 Workshop Practices 0 1 1
Total: 13 3 16
Semester 2
S.

No.

Pre-Req Course Code Course Title Theory Lab Total
1 None GSC 120 Linear Algebra 2 0 2
2 GSC 113 CEN 121 Circuit Analysis 3 1 4
3 None CSC 113 Computer Programming 3 1 4
4 None PAK 103 Pakistan Studies and Global Perspective 2 0 2
5 None ENV 101 Occupational Health & Safety 1 0 1
6 None CEN 120 Digital Logic Design 3 1 4
Total: 14 3 17
Semester 3
S.
No.
Pre-Req Course Code Course Title Theory Lab Total
1 None CSC 115 Discrete structures 3 0 3
2 GSC 113 EEN 224 Electronic Devices & Circuits 3 1 4
3 CSC 113 CSC 210 Object Oriented Programming 3 1 4
4 None HSS 118 Communication Skills 2 0 2
5 GSC 110 GSC 220 Complex Variables & Transforms 3 0 3
6 Social Science Elective-I 2 0 2
Total: 16 2 18
Semester 4
S.
No.
Pre-Req Course Code Course Title Theory Lab Total
1 GSC 110 GSC 210 Differential Equations 3 0 3
2 CSC 210 CSC 221 Data Structures & Algorithms 3 1 4
3 None EEN 313 Signals & Systems 3 1 4
4 CEN 120 CEN 221 Computer Architecture & Organization 3 1 4
5 MS-Elective – I 3 0 3
Total: 15 3 18
Semester 5
S.
No.
Pre-Req Course Code Course Title Theory Lab Total
1 CEN 221 CSC 320 Operating Systems 3 1 4
2 ENG 105 HSS 321 Technical Writing 2 0 2
3 CEN 221 CEN 321 Microprocessors & Interfacing 3 1 4
4 EEN 313 EEN 325 Digital Signal Processing 3 1 4
5 None CEN 223 Computer Communication & Networks 3 1 4
Total: 14 4 18
Semester 6
S.

No.

Pre-Req Course Code Course Title Theory Lab Total
1 CEDE-I 3 1 4
2 CSC 210 CSC 220 Database Management Systems 3 1 4
3 CSC 221 SEN 220 Software Engineering 3 0 3
4 None GSC 122 Probability & Statistics 3 0 3
5 CEDE-II 3 1 4
Total: 15 3 18
Semester 7
S.

No.

Pre-Req Course Code Course Title Theory Lab Total
1 CEN 221 CEN 442 Digital System Design 3 1 4
2 None HSS 423 Entrepreneurship 2 0 2
3 CEDE-III 3 1 4
4 ESC 498 Project-I 0 3 3
5 GSC 120 GSC 321 Numerical Analysis 2 1 2
Total: 10 6 16
Semester 8
S.

No.

Pre-

Req

Course Code Course Title Theory Lab Total
1 ESC 499 Project-II 0 3 3
2 CEDE-IV 3 1 4
3 MDEE-I 3 0 3
4 MDEE-II 3 0 3
5 Social Science Elective-II 2 0 2
Total: 11 4 15

Total Credit Hours:  136
Multi-Disciplinary Engineering Electives (MDEE) (6 Credit Hours)

S.

No.

Pre-Req Course Code Course Title Theory Lab Total
1 None SEN 320 Human Computer Interaction 3 0 3
2 None CEN 429 Introduction to Block Chain Technologies 3 0 3
3 None CSC 449 Neural Networks & Fuzzy Logic 3 0 3
4 EEN 313 CEN 458 Robotics 2 1 3
5 None CSC 341 Mobile Application Development 2 1 3
6 None CEN 426 Introduction to Virtual Reality 3 0 3
7 None SEN 420 Software Quality Assurance 3 0 3
8 EEN 224 CEN 457 VLSI Design 2 1 3
9 None CSC 457 Data Mining & Warehousing 2 1 3
10 None GEO 437 GIS & Remote Sensing 3 0 3
11 None GEO 436 Health Safety & Environment 3 0 3
12 None CEN 427 Biomedical Engineering 3 0 3
13 None SEN 449 Business Process Automation 3 0 3
14 None EEN 467 Control Engineering 3 0 3

Computer Engineering Depth Electives (CEDE) (16 Credit Hours)

S.

No.

Pre-Req Course Code Course Title Theory Lab Total
1 CSC 320 CEN 411 Cloud & Distributed Computing 3 1 4
2 CEN 321 CEN 449 Internet of Things 3 1 4
3 CEN 321 CEN 440 Embedded System Design 3 1 4
4 EEN 313 CEN 409 Artificial Intelligence & Machine Learning 3 1 4
5 EEN 313 CEN 444 Digital Image processing 3 1 4
6 CSC 113 CEN 408 System & Network Security 3 1 4
7 CSC 320 CEN 454 System Programming 3 1 4
8 CSC 320 CEN 407 High Performance Computing 3 1 4
10 CSC 221 CEN 326 Algorithm Design and Analysis 3 1 4
11 EEN 325 CEN 425 Hardware Design for DSP & ML 3 1 4
Management Science Electives (MS Elective – I) (3 Credit Hours) *
S. No. Pre-Req. Course No. Course Title Theory Credits Hours Lab Credit Hours Total Credit Hours
1 None EMG 201 Engineering Project Management 3 0 3
2 None MGT 423 Engineering Management 3 0 3
3 None MTM 101 Introduction to Maritime Industry 3 0 3
4
Management Science Electives (MS Elective – II) (2 Credit Hours) *
S. No. Pre-Req. Course No. Course Title Theory Credits Hours Lab Credit Hours Total Credit Hours
1 None EMG 222 Principles of Management 2 0 2
2 None HSS 423 Entrepreneurship 2 0 2
Social Science Electives (SSE) (4 Credit Hours)
S. No. Pre-Req. Course No. Course Title Theory Credits Hours Lab Credit Hours Total Credit Hours
1 None HSS 412 Engineering Economics 2 0 2
2 None HSS 413 Sociology for Engineers 2 0 2
3 None HSS 424 Engineering Ethics 2 0 2
4 None HSS 541 Organizational Behavior 2 0 2