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Hamdard Insititute of Engineering & Technology

Curriculum 

 

BE (Electrical Engineering)

At present, the institute is offering BE (Electrical) with two specializations i.e. telecommunications and electronics. The institute plans to launch power engineering as the third specialization in the near future. The three specializations shall offer students to choose any one area of his/her liking and thereby enhances employment scope of our students. The degree program endeavors to produce graduates who could pursue higher education abroad or join the industry in the public or private sector enterprises.

Program’s Vision

To provide quality education and applied research in Electrical Engineering and Allied Sciences in order to prepare future leaders for national and global work environments.

Program’s Mission

  • To produce electrical engineering professionals who are capable of taking a leadership position in the broad aspects of electrical engineering
  • To nurture well-rounded electrical engineering professionals with creative and entrepreneurial minds, sensitive towards social responsibility and moral values.
  • To provide innovative solutions to local and global problems.

Program Educational Objectives (PEOs)

Electrical Engineering Program has the following Program Educational Objectives (PEOs).

PEO_1: Take an interdisciplinary and integrative approach to address and solve engineering issues in broad societal contexts.

PEO_2: Have the intellectual independence and leadership skills to critically evaluate information and to take creative course of action.

PEO_3: Practice the habits of lifelong learning, necessary for a good human being and a sound professional.

 

Program Learning Outcomes (PLOs)

Electrical Engineering Program has the following Program Learning Outcomes (PLOs):

PLO_1 Engineering Knowledge: An ability to apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PLO_2 Problem Analysis: An ability to identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PLO_3 Design/Development of Solutions: An ability to design solutions for complex 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.

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: An 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: An 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: An ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments.

Alignment of PLOs with PEOs

Semester-wise Breakdown

 

Semester-1

 

Course Code

Course Title

Cr. Hours

HS 111

Pakistan Studies

2+0

NS 111

Applied Physics

3+1

CSE111

Computer Fundamentals & Programming

3+1

NS 112

Calculus and Analytical Geometry

3+0

EL 111

Linear Circuit Analysis

3+1

ME 111

Workshop Practices

0+1

Total Cr. Hr.

18

 

Semester-2

 

Course Code

Course Title

Cr. Hours

HS 122

Islamic Studies/Ethics

2+0

HS 123

Functional English

3+0

NS 123

Differential Equations

3+0

EE 121

Basic Electronics

3+1

CE 122

Object-Oriented Programming

3+1

CE 123

Engineering Drawing

0+1

Total Cr. Hr.

17

 

Semester-3

 

Course Code

Course Title

Cr. Hours

ES203

Digital Logic Design

3+1

ES212

Electronic Devices and Circuits

3+1

ES209

Electrical Network Analysis

3+1

MT203

Complex Variables and Transforms

3+0

HU104

Communication Skills

3+0

Total Cr. Hr.

18

 

Semester-4

Course Code

Course Title

Cr. Hours

NS 225

Linear Algebra

3+0

TE221

Electromagnetic Theory

3+0

ES222

Microprocessor and Micro-controller Systems

3+1

TL307

Signal & Systems

3+1

EE 224

Data Communication & Network

3+1

Total Cr. Hr.

18

Semester-5

Course Code

Course Title

Cr. Hours

IDE E3XX

Interdisciplinary Engineering Elective-I

2+0

TE 312

Communication Systems

3+1

EE/EL/TE 3XX

Breadth Core-I

3+1

EL 314

Control Systems

3+1

EL 315

Electrical Machines

3+1

Total Cr. Hr.

17

Semester-6

Course Code

Course Title

Cr. Hours

EL 326

Probability Methods in Engineering

3+0

EE/EL/TE 3XX

Depth-Elective-I

3+1

EE/EL/TE/3XX

Breadth Core-II

3+1

HS 3XX

Social Sciences-I

2+0

HS 324

Technical Writing

3+0

ID 3XX

Interdisciplinary Engineering Elective-II

1+1

Total Cr. Hr.

18

Semester-7

Course Code

Course Title

Cr. Hours

HS 4XX

Social Sciences-II

2+0

MS 411

Management Sciences-I

3+0

EE/EL/TE 4XX

Depth-Elective-II

3+1

EE/EL/TE 4XX

Depth-Elective-III

3+1

EL 449

Project-I

0+3

Total Cr. Hr.

16

 

Semester-8

Course Code

Course Title

Cr. Hours

MS 4XX

Management Sciences-II

3+0

EE/EL/TE 4XX

Depth-Elective-IV

3+1

EE/EL/TE 4XX

Depth-Elective-V

2+1/3+0

EE/EL/TE 4XX

Depth-Elective-VI

3+0

EL 449

Project-II

0+3

Total Cr. Hr.

16

 

Total number of semesters

8

Total number of courses

41 + Project + Internship

Total credit hours

139

ME (Electrical Engineering)

The Master of Engineering (ME) program in Electrical Engineering is designed to prepare students for technically demanding careers in industry as well as for post-master’s graduate studies in Electrical Engineering or related fields. Graduates of the ME in Electrical Engineering will have the professional skills necessary to compete effectively in a world of rapid technological change as well as to assume leadership roles within industrial, entrepreneurial, academic or governmental environments in the broad context of electrical engineering. More specifically: It requires students to build depth in an Electrical Engineering specialization, selected from areas such as communication and networks, signal and image processing, and power and control. It brings students the opportunity to flexibly choose graduate electives to explore technical or professional interests within engineering. It has a practicum requirement that is satisfied by doing a 6-credit thesis, a 6- credit project, or taking two advance courses.

Duration of the Program and Semester-wise Workload

PROGRAM SUMMRY

Duration

2 Years (Minimum)

Number of Semesters

4 (Minimum)

Total Credit Hours

30

Number of credit hours per semester

6-9

Total number of courses

10 (Non-Thesis Option)

08 (Thesis Option

“Mandatory Comprehensive Examination for non-thesis option”

Curriculum

Specialization: Communication Systems and Networks

Core Courses

(EE-7102)Analysis of Stochastic Systems

(EE-7501)Advanced Digital Signal Processing

(EE-7601)Advanced Communication Networks

Elective Courses

(EE-7301)Advanced Digital System Design

(EE-7502)Digital Image Processing

(EE-7602)Wireless and Mobile Communication Systems

(EE-7605)Information Theory and Coding

(EE-7606)Error Control Coding

(EE-7608)RF and Microwave Engineering

(EE-7609)Radar System

(EE-7610)Optical Communication Systems

(EE-7611)Digital Design of Communication Systems

(EE-7613)Telecommunication Traffic Engineering

(EE-7614)Wireless Multiple Access Communication

(EE-7615)RF/Microwave and Antenna Design

(EE-7616)Microwave Circuits and Systems

(EE-8806)Advanced Embedded Systems

(EE-8601)Advanced Digital Communication

(EE-8503)Wavelet based Signal and Image Processing

(EE-8505)Digital Filters Approximation Theory and Design

(EE-8603)Laser and Modern Optics

(CS-7405)IP Telephony and Voice over IP

(CS-7407)High Speed Broadband Networks

(CS-7411)Computer and Network Security

(CS-7409)Network Performance Analysis

(CS-7403)Network Management

(CS-7404)Multimedia Networking

(CS-7401)Advanced Computer Networks

(CS-7406)Multi-Layer Switching Architecture

(CS-8402)Internetworking

(CS-8405)Next Generation Networks

(CS-8206)Advanced Optimization Techniques and Algorithms

(CS-8403)GIS and Remote Sensing

(EE-9601)Selected Topics in Communications and Signal Processing

Specialization: Control and Automation Engineering

Core Courses

(EE-7102)Analysis of Stochastic Systems

(EE-7501)Advanced Digital Signal Processing

(EE-7201)Linear System Theory

Elective Courses

(EE-7101)Advanced Modeling and Simulation

(EE-7105)Quality Engineering

(EE-7106)Reliability Analysis

(EE-7108)Systems Analysis

(EE-7202)Advanced Classical Control Systems

(EE-7203)Process Control

(EE-7204)Advanced Digital Control

(EE-7205)PLCs and Control Systems

(EE-7206)Robotics

(EE-7702)Artificial Intelligence

(EE-7301)Advanced Digital System Design

(EE-7302)Advanced Instrumentation

(EE-7303)Advanced Power Electronics

(EE-7403)Electrical Drives

(EE-7612)Queuing Theory

(EE-8201)Non-Linear Control System

(EE-8202)Adaptive Control Systems

(EE-8203)control System Optimization

(EE-8204)Advanced Robotics and Automation

(EE-8205)Network and Embedded Control Systems

(EE-8206)Optimal Control Systems

(EE-8207)Computer Control Networks

(EE-8502)Adaptive Filter Design

(EE-8504)Two Dimensional Digital Signal Processing

(EE-8505)Digital Filter Approximation Theory and Design

(EE-8101)Neural and Fuzzy systems

(EE-9101)Convex Optimization

(EE-9102)Selected Topics in Control and Automation

(EE-9201)Robust Multivariable Control

(CS-7103)Game Theory

(CS-7104)Machine Vision

 

 

Specialization: Electronic Engineering

Core Courses

(EE-7102)Analysis of Stochastic Systems

(EE-7501)Advanced Digital Signal Processing

(EE-7204)Advanced Digital Control System

Elective Courses

(EE-7205)Solid State Electronics

(EE-7302)Advanced Instrumentation

(EE-7306)Real Time Embedded Systems

(EE-7303)Advanced Power Electronics

(EE-7308)Advanced FPGA based System Design

(EE-7502)Digital Image Processing

(EE-7602)Wireless and Mobile Communication Systems

(EE-8201)Non-Linear Control System

(EE-8202)Adaptive Control System

(EE-8206)Optimal Control System

(EE-8303)Chaos Theory and fractals

(EE-8502)Adaptive Filter Design

(EE-8504)Two Dimensional Digital Signal Processing

(EE-8505)Digital Filter Approximation Theory and Design

(EE-7101)Advanced Modeling and Simulation

(EE-7309)Linear Control System

(EE-7702)Artificial Intelligence

(EE-8301)Estimation Theory

(EE-8302)Multivariable Control Theory

(EE-8303)Digital integrated Circuit Design

(CS-7103)Game Theory

(CS-8101)Neural and Fuzzy Systems

(CS-8206)Advanced Optimization Techniques and Algorithms

(EE-9301)Selected Topics in Electronic Engineering

 

Specialization: Power Engineering

Core Courses

(EE-7102)Analysis of Stochastic Systems

(EE-7501)Advanced Digital Signal Processing

(EE-7401)Power System Modeling and Analysis

Elective Courses

(EE-7402)Smart Grids and Future Energy Systems

(EE-7403)Electric Drives

(EE-7404)Advanced Power System Transmission

(EE-7405)Advanced High Voltage Engineering

(EE-7406)Power System Circuit Breakers and Sub Stations

(EE-7407)Power System Distribution

(EE-7408)Power System Reliability

(EE-7409)Insulation coordination in Power Systems

(EE-7410)Power Generation Economics

(EE-7411)Power System Restructuring

(EE-7412)Advanced Power System Stability

(EE-7413)Power Quality

(EE-8401)Condition Monitoring Techniques

(EE-8402)Modeling and Simulation of Converters

(EE-8403)Modeling and Simulation of Electrical Machines

(EE-8404)Advanced Electrical Machine Design

(EE-8505)Digital Filter Approximation Theory and Design

(EE-7414)Energy Management

(EE-7415)Renewable Energy Systems

(EE-8405)Distributed Generation

(EE-8406)Control of DC Machines and Drives

(EE-8407)Control of AC Machines and Derives

(EE-8408)Power Electronics Devices and Circuits

(EE-8409)Switch-Mode Power Supplies

(EE-8410)Special Electrical Machines

(EE-8411)Advanced Control Systems

(EE-8412)Selected Topics in Power Engineering

 

 

 

 

BS (Computer Science)

The BS (CS) is a four years professional degree program comprising the core courses in basic sciences, mathematics, programming and computing. The program focuses on instilling comprehensive computer science knowledge among students and exposing them to issues involved in the development of scientific, educational and commercial applications. An integrated approach to meet the hardware and software needs of the industry is adopted using modern techniques to impart knowledge through lectures as well as hands-on training in the labs. The curriculum is designed as per HEC recommendations and provides core knowledge of specialized technologies. This program gives students a solid background in the theoretical principles underlying computer science and ensures that students acquire intellectual depth necessary to keep them abreast with rapid advancement in the discipline.

 

Program Objectives:

 

  • Contribute academic excellence for designing, developing and producing skills in computer science and its allied areas such as software development, database, and networking and algorithm methods.
  • Develop teamwork abilities coupled with leadership and communication skills as to effectively participate in decision making for organizational growth.
  • Exhibit an intellectual sagacity for shouldering societal responsibilities in all professional endeavors
  • Persuade for post-graduation to promote professional aptitude aimed at career development for cutting edge technological paths.

 

Semester-wise Breakdown

First Semester

Course code

Subject

Pre- Req

Credit Hours

NS-111

Calculus and Analytical Geometry

3+0

CS-111

Introduction to Computing

2+1

HS-111

Functional English

3+0

CS-112

Basic Electronics

2+1

HS-112

Pakistan Studies

2+0

Credit hours: 14

 

Second Semester

Course code

Subject

Pre-Req

Credit Hours

NS-121

Multivariable Calculus

NS-111

3+0

CS-121

Programming Fundamentals

CS-111

3+1

CS-122

Discrete Structures

3+0

HS-121

Communication Skills

3+0

MG/SS-XXX

University Elective – I

3+0

HS-113

Islamic Studies/Ethical Behavior

2+0

Credit hours:18

 

Third Semester

Course code

Subject

Pre- Req

Credit Hours

NS-211

Linear Algebra

3+0

CS-211

Digital Logic Design

3+1

CS-212

Object Oriented Programming

CS-121

3+1

NS-212

Probability and Statistics

3+0

MG/SS-XXX

University Elective – II

3+0

Credit hours: 17

 

Fourth Semester

Course code

Subject

Pre-Req

Credit Hours

CS-221

Data Structures and Algorithms

CS-121

3+1

CS-222

Data Communication and Computer Networks

CS-111

3+1

CS-223

Microprocessor and  Assembly Language

CS-211

3+1

NS-221

Differential Equations

NS-111

3+0

MG/SS-XXX

University Elective – III

3+0

Credit hours:18

 

Fifth Semester

Course code

Subject

Pre- Req

Credit Hours

CS-311

Database Systems

CS-221

3+1

CS-312

Introduction to Software Engineering

CS-221

3+0

CS-313

Operating Systems

CS-111

3+1

CS-314

Numerical Computing

NS-221

2+1

MG/SS-XXX

University Elective – IV

3+0

Credit hours: 17

 

Sixth Semester

Course code

Subject

Pre-Req

Credit Hours

CS-321

Theory of Automata

CS-122

3+0

CS-322

Design and Analysis of Algorithms

CS-221

3+0

CS-323

Computer Architecture and Organization

CS-211

3+0

HS-321

Technical Report Writing

3+0

CS-3XX

CS Elective – I

3+0/ (2+1)

CS-3XX

CS Elective – II

3+0/ (2+1)

Credit hours:18

 

CS-341 Internship (0+1) Non-credit

 

Seventh Semester

Course code

Subject

Pre- Req

Credit Hours

CS-411

Human Computer Interaction

3+0

CS-412

Compiler Construction

CS-321

3+0

CS-413

Artificial Intelligence

CS-122

2+1

CS-4XX

CS Elective – III

3+0/ (2+1)

CS-4XX

CS Elective – IV

3+0/ (2+1)

CS-415

Final Year Project – I

0+3

Credit hours: 18

 

Eight Semester

Course code

Subject

Pre-Req

Credit Hours

HS-421

Professional Practices

3+0

CS-421

Information Security

CS-222

3+0

CS-4XX

CS Elective – V

3+0/ (2+1)

CS-4XX

CS Elective – VI

3+0/ (2+1)

CS-425

Final Year Project – II

CS-415

0+3

Credit hours:15

 

Program Summary BS (CS)

Duration of Program

4 Years

Number of Semesters

8

Average number of courses per semester

5 or 6

Total Credit Hours

135

Total Number of Courses

41  + Final Year Project (Part – I and II)

List of Electives

University Electives

Course code

Subject

Pre- Req

Credit Hours

MG-121

Financial Accounting

3+0

MG-211

Financial Management

MG-121

3+0

MG-221

Principles of Management and Economics

3+0

MG-222

Marketing and Management

3+0

MG-311

Human Resource Management

3+0

MG-312

Entrepreneurship

3+0

SS-311

Organizational Behavior

3+0

CS Electives

Common Electives

CS-331

Advanced Database Management Systems

CS-311

3+0

CS-332

Advanced Computer Programming

CS-212

2+1

CS-333

Data Science

CS-311

3+0

CS-431

Modeling and Simulation

3+0

CS-432

Digital Image Processing

3+0

CS-433

Information Systems Audit

3+0

CS-434

Operations Research

CS-314

3+0

CS-436

Fuzzy Logic

CS-413

3+0

CS-438

Data Warehousing and Data Mining

CS-311

3+0

CS-439

Concepts of Programming Languages

CS-212

3+0

CS-440

Natural Language Processing

CS-321

3+0

Computer Networks and Information Security

CS-361

Wireless Networks

CS-222

3+0

CS-362

Ad-hoc Networks

CS-222

3+0

CS-363

Cryptography and Network Security

CS-222

3+0

CS-462

Network Management

CS-222

3+0

CS-464

Cloud Computing

CS-222

3+0

CS-465

Multimedia Communications

3+0

Mobile and Web Application Development

CS-351

Web Engineering

CS-121

2+1

CS-352

Mobile Application Development

2+1

CS-353

Semantic Web

3+0

CS-453

Mobile Middleware

3+0

CS-454

Mobile Databases

CS-311

3+0

CS-456

Computer Graphics

CS-212

3+0

CS-457

Network Programming

CS-222

2+1

CS-458

Advanced Operating Systems

CS-223

3+0

Ubiquitous Computing

CS-371

Ubiquitous Computing

3+0

CS-372

Sensor Networks

CS-222

3+0

CS-473

Distributed and Parallel Computing

2+1

CS-474

Next Generation Networks

CS-222

3+0

CS-475

Mobile Network Technologies

3+0

CS-476

Context Aware Applications

CS-122

3+0

CS-477

Computer Vision

3+0

Software Engineering

CS-381

Software Engineering Economics

CS-312

3+0

CS-382

Software Requirement Engineering

CS-312

3+0

CS-383

Software Project Management

CS-312

3+0

CS-483

Software Design Patterns

CS-312

3+0

CS-485

Software Architecture

CS-312

3+0

CS-486

Software Quality  Assurance

CS-312

3+0

CS-487

Business Process Automation

CS-312

3+0

 

BS (Industrial Engineering Technology)

Engineering Technology Program’s Vision:

An accredited program in Engineering Technology will prepare graduates with the technical and managerial skills necessary to develop, implement, and improve integrated systems that include people, materials, information, equipment, and energy. Graduates will be prepared for careers in higher levels of system design, integration, and management.

Engineering Technology Program’s Mission:

The mission of the Engineering Technology program is to (1) sustain a quality, student-centered, industry oriented engineering technology curriculum and (2) prepare students with technical knowledge, real-world problem solving skills, leadership skills, and hand-on abilities to perform effectively in the global marketplace.

Program Educational Objectives (PEOs)

Industrial Engineering Technology

PEO_1:

Create value to organizations through the analysis, evaluation, and improvement of industrial systems and processes through the application of structured and unstructured industrial engineering methodologies and tools.

PEO_2:

Work in multi-disciplinary teams providing technical knowledge and communicate effectively across disciplines and cultures to manage and/or lead activities in support of organizational goals and objectives.

PEO_3:

Remain technically current through continuous learning and self-improvement, in response to organizational challenges, understand and exhibit professional, ethical and societal responsibility as they pursue their careers.

Program Learning Outcomes (PLOs)

Technology Programs

PLO_1: Engineering Technology Knowledge (SA1): An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals and Engineering Technology specialization to defined and applied Engineering Technology procedures, processes, systems or methodologies.

PLO_2: Problem Analysis (SA2): An ability to Identify, formulate, research literature and analyze broadly-defined Engineering Technology problems reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.

PLO_3: Design/Development of Solutions (SA3): An ability to design solutions for broadly- defined Engineering Technology problems and contribute to the design of systems, components or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PLO_4: Investigation (SA4): An ability to conduct investigations of broadly-defined problems; locate, search and select relevant data from codes, data bases and literature, design and conduct experiments to provide valid conclusions.

PLO_5: Modern Tool Usage (SA5): An ability to Select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modeling, to broadly-defined Engineering Technology problems, with an understanding of the limitations.

PLO_6: The Engineering Technologist and Society (SA6): An ability to demonstrate understanding of the societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to Engineering Technology practice and solutions to broadly defined Engineering Technology problems.

PLO_7: Environment and Sustainability (SA7): An ability to understand and evaluate the sustainability and impact of Engineering Technology work in the solution of broadly defined Engineering Technology problems in societal and environmental contexts.

PLO_8: Ethics (SA8): Understand and commit to professional ethics and responsibilities and norms of Engineering Technology practice

PLO_9: Individual and Team Work (SA9): An ability to Function effectively as an individual, and as a member or leader in diverse teams.

PLO_10: Communication (SA10): An ability to communicate effectively on broadly defined Engineering Technology activities with the Engineering Technologist community and with society at large, by being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PLO_11: Project Management (SA11): An ability to demonstrate knowledge and understanding of Engineering Technology management principles and apply these to one’s own work, as a member or leader in a team and to manage projects in multidisciplinary environments.

PLO_12: Lifelong Learning (SA12): An ability to recognize the need for, and have the ability to engage in independent and life-long learning in specialist Engineering Technologies.

 

 

Sr. No

Subject

Nature

Credit Hours

1st Semester

1.

Functional English

Humanities

3

0

2.

Engineering Mechanics

Natural Sciences

3

1

3.

Pakistan Studies

Humanities

2

0

4.

Introduction to Computing

Computing

2

1

5.

Calculus & Analytical Geometry

Natural Sciences

3

0

6.

Engineering Drawing and Graphics

ET (Foundation)

0

1

Total

13

3

2nd Semester

1.

Communication Skills

Humanities

3

0

2.

Differential Equation & Linear Algebra

Natural Sciences

3

0

3.

Thermodynamics

Interdisciplinary

3

0

4.

Machine Design & CAD

ET (Foundation)

2

1

5.

Workshop Practice

ET (Foundation)

0

2

6.

Basic Industrial Electronics

ET (Foundation)

3

1

Total

14

4

3rd Semester

1.

Engineering Management and Economics

Management Sciences

3

0

2.

Probability and Statistics

ET (Foundation)

3

0

3.

Instrumentation & Control

ET (Depth)

3

1

4.

Manufacturing Processes

ET (Depth)

3

1

5.

Technical Report Writing & Presentation Skills

Humanities

2

0

6.

Islamic Studies

Humanities

2

0

Total

16

2

4th Semester

1.

Operations of manufacturing systems

ET (Depth)

3

1

2.

Metrology and Statistical Quality Control

ET (Foundation)

3

1

3.

Operations Research

ET (Foundation)

3

1

4.

Computer Simulation

Computing

2

1

5.

Elective – I

ET (Breadth)

3

0

Total

14

4

5th Semester

1.

Production System Design

ET (Depth)

3

1

2.

Foreign Language

Humanities

2

0

3.

Production Planning & Control

ET (Foundation)

3

1

4.

Entrepreneurship

Humanities

3

0

5.

Elective – II

ET (Breadth)

3

1

Total

14

3

6th Semester

1.

Computer Aided Manufacturing

Computing

2

1

2.

Industrial Facility Design

ET (Depth)

2

1

3.

Elective – III

ET (Breadth)

3

0

4.

Elective – IV

ET (Breadth)

3

1

5.

Environment, Maintenance and Safety

ET (Breadth)

3

0

Total

13

3

7th Sem.

1.

Supervised Industrial Training

 

0

16

Total

0

16

8th Sem.

1.

Supervised Industrial Training

 

0

16

Total

0

16

Grand Total

135

1 Week Training = 1 credit Hour

1 Week Training = 40 contact hours @ 05 days of week 08 hrs per day

 

Bachelor of Computer Arts (BCA)

 

 Degree Title: Bachelor of Computer Arts (BCA)

Duration: 4 years, 8 semesters, minimum degree requirements 130+ credit hours

Eligibility: Minimum 45% marks in Intermediate or Equivalent Qualification, A-level

 

Road Map (BCA)

1st Semester

Course Code

Course Title

CHs

Pre Req.

CA – 111

Digital Drawing & illustration-I

3+0

HS – 111

Functional English

3+0

CA – 112

Performing Arts

3+0

CA – 113

Basic Design

3+1

CS – 112

Basic Computer Skills

2+1

HS – 112

Pakistan Studies

2+0

Total

18

18

 

2nd Semester

CA – 121

Digital Drawing & illustration-II

3+0

CA – 111

HS – 121

Communication Skills

3+0

HS – 111

HS – 122

Islamic Studies

2+0

CA – 122

Photography + Videography

3+0

CA – 123

Introduction to Textile + Drafting

3+0

HS – 123

SS-I (Elective)

3+0

Total

17

17

 

3rd Semester

CA – 211

Digital Drawing & illustration-III

3+0

CA – 121

CA – 212

Desktop Publishing

3+0

CA – 213

Computer Graphics-I

3+1

CA – 214

Mass & Media Communication

3+0

CA – 215

Visual Art & Application

3+0

HS – 211

SS-II (Elective)

2+0

Total

18

18

 

4th Semester

CA – 221

Cartooning and Caricature

3+0

CA – 211

MS – 221

Entrepreneurship

3+0

CA – 222

Basic Audio and Video Production

3+1

CA – 223

Introduction to 2D animation

3+1

CA – 224

Advance Graphic Design

3+1

CS – 213

Total

18

18

 

5th Semester

CA – 311

3D Modeling & Animation

3+1

CA – 312

Web Design-I

3+1

CA – 3XX

Elective-I

3+0

CA – 313

Portfolio Development

3+0

CA – 314

Media Art and Design

3+0

Total

17

17

 

6th Semester

CA – 321

Broadcasting and Journalism

3+0

CA – 3XX

Elective-II

3+0

MS – 321

Technical Report Writing & Presentation Skills

3+0

CA – 323

Digital Image Manipulation

3+1

CA – 3XX

Elective – III

3+0

Total

16

16

 

Summer Internship 0 Credit

7th Semester

CA – 411

Internet Application & Networking

3+0

CA – 412

Web Design-II

3+1

CA-312

CA – 413

Digital Movie Making

3+1

CA – 414

FYP-I

0+3

Total

14

 

8th Semester

CA – 421

Creative Analysis Leadership

3+0

CA – 4XX

Elective-IV

3+0

MS – 421

Project Management

3+0

CA – 423

FYP-II

0+3

CA-414

Total

12

 

Degree Credit Hours= 130

 

 

Recommended List of Elective Courses

Note: The following list is not exhaustive. Universities /Institutes may expand the list as per their requirements. List Of Electives (Computer Arts)

Course Title

CHs

Campaign Development

3

Architectural Designing and Auto CAD

3

Paintography

3

Advance Digital Video Tools

3

Advance Graphic Tools

3

3D Animation-II

3

Art Appreciation

3

3D Animation-III

3

Character Building

3

List Of Electives (Social Sciences)

Social Anthropology

2

Understanding Psychology and Human Behavior

2

Professional Psychology

2

Organizational Behavior

2

Introduction to Sociology

2

Critical Thinking

2

Introduction to Philosophy

2