BS in Computer Science
Computer Sciences include the study, analyses, designing, implementation and application of what can be automated. It evolved as a result of the vast information revolution, which made it hard to escape computing and computers. Our BS program in Computer Sciences concentrates on programming skills in a variety of paradigms, operating systems, networking and databases. Hands on experience with various software systems, C, C++, JAVA, Visual Programming languages, Unix, Windows and Network tools are an integral part of the program. In addition, the present curriculum covers Mathematics, Basic Sciences, Humanities, Social Sciences, and English language skills. The Computer Science program offers an opportunity for fieldwork outside the university.
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
- Fundamental Computing Knowledge: Our graduates will be proficient in the fundamentals of computing knowledge and will be read to apply that in professional roles in industry, academia, or a startup.
- Ethical and Societal Responsibilities: Our graduates will be able to work professionally with dignity and integrity by taking into account the ethical and social concerns.
- Communication Skills: Our graduates will possess effective oral and verbal communication ability in technical and managerial roles.
- Leadership: Our graduates will excel in a leadership capacity within a team or in a business setting.
- Continuous Improvement: Our graduates will be able to explore newly emerging fields in computing for her job role or academic purposes.
PROGRAM LEARNING OUTCOMES (PLOs)
Computer Science program prepares students to attain educational objectives by ensuring that students demonstrate achievement of the following outcomes:
- Academic Education To prepare graduates as computing professionals.
- Knowledge for Solving Computing Problems Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the 16 abstractions and conceptualization of computing models from defined problems and requirements.
- Problem Analysis Identify, formulate research literature and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
- Design/ Development of Solutions Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
- Modern Tool Usage Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
- Individual and Team Work Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
- Communication Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
- Computing Professionalism and Society Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
- Ethics Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
- Life-long Learning Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
Curriculum Plan and Model
Course Group | Credit Hours |
General Education Courses | 20 |
University Electives | 18 |
Mathematics & Science Foundation | 13 |
Computing – Core | 39 |
Domain CS Core | 24 |
Domain CS Electives | 15 |
Domain CS Supporting | 8 |
Total | 137 |
Semester | Course(s) Code (New) | Course(s) Title | Credit Hours | Prerequisite |
Semester I | CSC101 | Applied Physics | 3 + 1 | — |
| CSC111 | Introduction to Information and Communication Technology | 3 + 1 | — |
| CSC102 | Calculus and Analytical Geometry | 3 + 0 | — |
| HUM111 | Functional English | 3 + 0 | — |
| HMT121 | Islamic Studies | 2 + 0 | — |
| HMT122 | Pakistan Studies | 2 + 0 | — |
|
| Total Semester Credit Hours | (16 + 2) |
|
Semester II | CSC121 | Digital Logic Design | 3 + 1 | CSC101 |
| HUM231 | Communication Skills | 3 + 0 | — |
| CSC131 | Programming Fundamentals | 3 + 1 | CSC111 |
| CSC103 | Multivariate Calculus | 3 + 0 | CSC102 |
| HUM112 | Personal Development | 3 + 0 | — |
|
| Total Semester Credit Hours | (15 + 2) |
|
Semester III | CSC221 | Computer Organization & Assembly Language | 3 + 1 | CSC131 |
| CSC231 | Object Oriented Programming | 3 + 1 | CSC131 |
| BUS231 | Financial Accounting Principles | 3 + 0 | — |
| HUM233 | Philosophy and Critical Thinking | 3 + 0 | — |
| CSC201 | Linear Algebra and Differential Equations | 3 + 0 | CSC102 |
|
| Total Semester Credit Hours | (15 + 2) |
|
Semester IV | CSC222 | Operating Systems | 3 + 1 | CSC231 |
| CSC232 | Data Structures & Algorithms | 3 + 1 | CSC231 |
| CSC241 | Discrete Structures | 3 + 0 | — |
| CSC202 | Probability and Statistics | 3 + 0 | CSC102 |
| SSC231 | World History | 3 + 0 | — |
| HUM301 | Sociology | 3 + 0 | — |
|
| Total Semester Credit Hours | (18 + 2) |
|
Semester V | CSC331 | Database Management Systems | 3 + 1 | CSC231 |
| CSC332 | Design and Analysis of Algorithms | 3 + 0 | CSC232 |
| CSC341 | Theory of Automata | 3 + 0 | CSC241 |
| SSC231 | World Literature | 3 + 0 | — |
| CSC361 | Data Communication and Computer Networks | 3 + 1 | CSC121 |
| CSC333 | Introduction to Python | 0+1 | CSC111 |
|
| Total Semester Credit Hours | (15 + 3) |
|
Semester VI | CSC342 | Compiler Construction | 3 + 0 | CSC341 |
| CSC351 | Software Engineering | 3 + 0 | CSC231 |
| HUM121 | Academic & Professional Writing | 3 + 0 | — |
|
| Elective I | 3 + X | — |
|
| Elective II | 3 + X | — |
|
| Total Semester Credit Hours | (15 + X) |
|
Semester VII | CSC441 | Final Year Project – I | 0 + 3 | CSC351 |
| CSC471 | Artificial Intelligence | 3 + 1 | CSC332 |
|
| Elective III | 3 + X | — |
| CSC321 | Embedded Systems | 3 + 1 | CSC221 |
| CSC431 | Parallel and Distributed Computing | 3 + 0 | CSC231, CSC361, |
|
| Total Semester Credit Hours | (12+5+X) |
|
Semester VIII |
| Elective IV | 3 + X | — |
|
| Elective V | 3 + X | — |
| CSC442 | Final Year Project – II | 0 + 3 | CSC441 |
| CSC412 | Information Security | 3 + 0 | CSC111, CSC361 |
| HUM232 | Ethics & Social Responsibility | 3 + 0 | — |
|
| Total Semester Credit Hours | (12 + 3+X) |
|
Minimum Program Credit Hour(s): 137 |
List of Elective Courses for BS (Computer Science) Program
Course Code | Course(s) Title | Credit Hours |
CSC336 | Advanced Database Management Systems | 3 + 0 |
CSC371 | Digital Image Manipulation | 3 + 0 |
CSC311 | E-Business | 3 + 0 |
CSC337 | Web Programming Languages | 3 + 1 |
CSC372 | Digital Image Processing + Lab | 3 + 1 |
CSC338 | Visual Programming Languages + Lab | 3 + 1 |
CSC443 | Simulation & Modelling | 3 + 0 |
SEN358 | Software Construction | 3 + 0 |
SEN356 | Software Requirement Engineering | 3 + 0 |
CSC322 | Robotics Programming + Lab | 3 + 1 |
CSC362 | Network Performance Management | 3 + 0 |
CSC363 | Network Security | 3 + 0 |
CSC435 | Mobile Application Development | 3 + 0 |
SEN357 | Software Evolution & Maintenance | 3 + 0 |
CSC373 | Computational Intelligence | 3 + 0 |
CSC381 | Computer Graphics & Animation + Lab | 3 + 1 |
CSC436 | Data Warehousing & Data Mining | 3 + 0 |
CSC454 | Enterprise Resource Planning | 3 + 0 |
CSC474 | Expert Systems | 3 + 0 |
SEN455 | Software Quality Assurance | 3 + 0 |
SEN456 | Enterprise Software Architecture | 3 + 0 |
CSC475 | Computer Vision | 3 + 0 |
CSC463 | Routing & Switching + Lab | 3 + 1 |
CSC464 | Wireless Communication + Lab | 3 + 1 |
CSC465 | Virtualization & Cloud Computing | 3 + 0 |
CSC482 | 3D Modelling and Game Development + Lab | 3 + 1 |
CSC466 | Intranet Development | 3 + 0 |
CSC312 | Information System Audit | 3 + 0 |
CSC476 | Artificial Neural Networks | 3 + 0 |
CSC477 | Data Science | 3 + 0 |
CSC478 | Deep Learning | 3 + 0 |
SEN457 | Human Computer Interaction | 3 + 0 |
CSC467 | Internet of Things | 3 + 0 |
CSC468 | Software Defined Network + Lab | 3 + 1 |
CSC469 | Wireless Communication Networks | 3 + 0 |
CSC437 | Web Engineering + Lab | 3 + 1 |
SEN458 | Design Patterns | 3 + 0 |
CSC423 | FPGA Based System Design + Lab | 3 + 1 |
CSC491 | Bioinformatics | 3 + 0 |
CSC424 | Microprocessor Based Systems | 3+1 |
CSC479 | Machine Learning | 3+0 |
CSC413 | Technopreneurship | 3+0 |
CSC445 | Optimization Techniques | 3+0 |
Course Area Category:
0-Maths & Science.
1-Information Technology.
2-Systems.
3-Programming & Databases.
4-Computer Science.
5-Software Engineering.
6-Networks & Communication.
7- Artificial Intelligence.
8-Graphics & Animation
Road map for Admission in BS(CS) after 14 years BSc. Degree
Eligibility Criteria: BSc. with Mathematics having minimum 2nd Division
1. For students who have studied Computer Science in their degree(but not Physics), following deficiency courses are recommended:
Course(s) Code | Course Title | Credit Hours |
CSC101 | Applied Physics | 4 |
CSC121 | Digital Logic Design | 4 |
CSC221 | Computer Organization & Assembly Language | 4 |
CSC231 | Object Oriented Programming | 4 |
CSC222 | Operating Systems | 4 |
CSC232 | Data Structures | 4 |
| Total | 24 |
2. For students who have studied Physics in their degree (but not Computer Science), following deficiency courses are recommended:
Course(s) Code | Course Title | Credit Hours |
CSC111 | Introduction to Information and Communication Technology | 4 |
CSC121 | Digital Logic Design | 4 |
CSC131 | Programming Fundamentals | 4 |
CSC221 | Computer Organization & Assembly Language | 4 |
CSC231 | Object Oriented Programming | 4 |
CSC222 | Operating Systems | 4 |
CSC232 | Data Structures | 4 |
| Total | 28 |
3. For students who have studied both Computer Science and Physics in their degree, following deficiency courses are recommended:
Course(s) Code | Course Title | Credit Hours |
CSC121 | Digital Logic Design | 4 |
CSC221 | Computer Organization & Assembly Language | 4 |
CSC231 | Object Oriented Programming | 4 |
CSC222 | Operating Systems | 4 |
CSC232 | Data Structures | 4 |
| Total | 20 |
Following Computer Sciences courses are recommended after completion of deficiency courses:
Course Code | Course Title | Credit Hours |
CSC331 | Database management Systems | 4 |
CSC332 | Design and Analysis of Algorithms | 3 |
CSC341 | Theory of Automata | 3 |
CSC361 | Data Communication and Networks | 4 |
CSC351 | Software Engineering | 3 |
CSC471 | Artificial Intelligence | 4 |
CSC342 | Compiler Construction | 3 |
CSC431 | Parallel and Distributed Computing | 3 |
CSC412 | Information Security | 3 |
CSC337 | Web Programming Languages | 4 |
| Elective- I | 3 |
| Elective- II | 3 |
| Elective- III | 3 |
| Elective- IV | 3 |
| Elective- V | 3 |
CSC441 | Final Year Project-I | 3 |
CSC442 | Final Year Project-II | 3 |
| Total | 55 |