Introduction to BS (Computer Science) Program
Program Overview
Our Bachelor of Science in Computer Science program offers a comprehensive curriculum that combines theoretical knowledge with practical skills. Students will gain a deep understanding of the principles, methodologies, and technologies that drive the world of computing.
Curriculum Highlights
Our curriculum is carefully designed to cover a wide range of computer science topics, ensuring that students acquire the necessary skills and knowledge to excel in the field. Here are some key areas of study:
Programming Fundamentals
Students will learn core programming concepts and languages, enabling them to write efficient and reliable code. They will develop problem-solving skills and gain hands-on experience through programming assignments and projects.
Data Structures and Algorithms
This course focuses on the fundamental data structures and algorithms used in software development. Students will learn how to analyze, design, and implement efficient algorithms to solve real-world problems.
Computer Architecture
Students will explore the inner workings of computer systems, including processor design, memory management, and input/output operations. They will gain insights into the hardware-software interface and understand how computer components interact.
Software Engineering
This course emphasizes the principles and practices of software development. Students will learn about the software development life cycle, project management, testing, and software maintenance. They will also work collaboratively on team projects to simulate real-world development environments.
Artificial Intelligence
Students will be introduced to the field of artificial intelligence, covering topics such as machine learning, natural language processing, and intelligent systems. They will explore algorithms and techniques used to create intelligent software and study the societal impact of AI.
Databases
This course focuses on the design, implementation, and management of databases. Students will learn SQL and gain practical experience in designing and querying databases. They will also study concepts such as data normalization and database security.
The educational objectives for the Computer Science describe the core qualities and characteristics we seek to instill in our graduates and have them carry into their very diverse future careers and activities. The Program Objectives are listed below:
PEO 1: Entered in the Computer Science, sciences, technologies or related fields in prominent organizations or working as a technopreneur.
PEO 2: Become medium level experts able to creatively apply their expertise of science, and technology to the best of society and industry.
PEO 3: Earned a reputation as a professional, sensitive to the environmental, social, safety and economic context and possess a strong commitment to ethical practices.
PEO 4: Attained a leadership position and be acknowledged as a valuable team member able to skilled workforce embodied with the spirit of discovery.
PEO 5: Continued their professional development and physical well-being.
Program outcomes are the 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 attitude that the students acquire while progressing through the program. PLO’s of Under Graduate program are as under:
PLO 1 : Academic Education
Completion of an accredited program of study designed to prepare graduates as computing professionals.
PLO 2 : 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 abstraction and conceptualization of computing models from defined problems and requirements.
PLO 3 : 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.
PLO 4 : 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.
PLO 5 : 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.
PLO 6 : Individual and Teamwork
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
PLO 7 : 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.
PLO 8 : 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.
PLO 9 : Ethics
Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
PLO 10 : Life-long Learning
Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
S No | Course Code | Course Title | Credit Hrs | ||
Semester 1 | Theory | Lab | Total | ||
1 | CS111 | Programming Fundamentals | 3 | 0 | 3 |
2 | CS111(L) | Programming Fundamentals Lab | 0 | 1 | 1 |
3 | GE161 | Application of Information & Communication Technologies | 2 | 0 | 2 |
4 | GE161(L) | Application of Information & Communication Technologies Lab | 0 | 1 | 1 |
5 | GE163 | Discrete Structures | 3 | 0 | 3 |
6 | GE164 | Calculus and Analytic Geometry | 3 | 0 | 3 |
7 | GE162 | Functional English | 3 | 0 | 3 |
Total Credit Hrs | 14 | 2 | 16 | ||
Semester 2 | Theory | Lab | Total | ||
8 | CS112 | Object Oriented Programming | 3 | 0 | 3 |
9 | CS112(L) | Object Oriented Programming -Lab | 0 | 1 | 1 |
10 | CS113 | Database Systems | 3 | 0 | 3 |
11 | CS113(L) | Database Systems Lab | 0 | 1 | 1 |
12 | CS114 | Digital Logic Design | 2 | 0 | 2 |
13 | CS114(L) | Digital Logic Design Lab | 0 | 1 | 1 |
14 | MT141 | Multivariable Calculus | 3 | 0 | 3 |
15 | MT142 | Linear Algebra | 3 | 0 | 3 |
Total Credit Hrs | 14 | 3 | 17 | ||
Semester 3 | Theory | Lab | Total | ||
16 | CS211 | Data Structures | 3 | 0 | 3 |
17 | CS211(L) | Data Structures Lab | 0 | 1 | 1 |
18 | CS212 | Information Security | 2 | 0 | 2 |
19 | CS212(L) | Information Security Lab | 0 | 1 | 1 |
20 | CS213 | Artificial Intelligence | 2 | 0 | 2 |
21 | CS213(L) | Artificial Intelligence Lab | 0 | 1 | 1 |
22 | CS214 | Computer Networks | 2 | 0 | 2 |
23 | CS214(L) | Computer Networks Lab | 0 | 1 | 1 |
24 | CS215 | Software Engineering | 3 | 0 | 3 |
25 | MT241 | Probability & Statistics | 3 | 0 | 3 |
Total Credit Hrs | 15 | 4 | 19 | ||
Semester 4 | Theory | Lab | Total | ||
26 | CS216 | Computer Organization & Assembly Language | 2 | 0 | 2 |
27 | CS216(L) | Computer Organization & Assembly Language Lab | 0 | 1 | 1 |
28 | CS221 | Theory of Automata | 3 | 0 | 3 |
29 | CS222 | Advance Database Management Systems | 2 | 0 | 2 |
30 | CS222(L) | Advance Database Management Systems Lab | 0 | 1 | 1 |
31 | GE263 | Applied Physics | 2 | 0 | 2 |
32 | GE263(L) | Applied Physics Lab | 0 | 1 | 1 |
33 | GE261 | Expository Writing | 3 | 0 | 3 |
34 | GE262 | Islamic Studies | 2 | 0 | 2 |
Total Credit Hrs | 14 | 3 | 17 | ||
Semester 5 | Theory | Lab | Total | ||
35 | CS311 | Operating Systems | 2 | 0 | 2 |
36 | CS311(L) | Operating Systems Lab | 0 | 1 | 1 |
37 | CS321 | HCI & Computer Graphics | 2 | 0 | 2 |
38 | CS321(L) | HCI & Computer Graphics Lab | 0 | 1 | 1 |
39 | CS322 | Computer Architecture | 2 | 0 | 2 |
40 | CS322(L) | Computer Architecture Lab | 0 | 1 | 1 |
41 | CSxxx | Elective-I | 2 | 0 | 2 |
42 | CSxxx | Elective-I Lab | 0 | 1 | 1 |
43 | CSxxx | Elective-II | 2 | 0 | 2 |
44 | CSxxx | Elective-II Lab | 0 | 1 | 1 |
45 | GE361 | Introduction to Management | 2 | 0 | 2 |
Total Credit Hrs | 12 | 5 | 17 | ||
Semester 6 | Theory | Lab | Total | ||
46 | CS323 | Compiler Construction | 2 | 0 | 2 |
47 | CS323(L) | Compiler Construction Lab | 0 | 1 | 1 |
48 | CS324 | Parallel & Distributed Computing | 2 | 0 | 2 |
49 | CS324(L) | Parallel & Distributed Computing Lab | 0 | 1 | 1 |
50 | CSxxx | Elective-III | 2 | 0 | 2 |
51 | CSxxx | Elective-III Lab | 0 | 1 | 1 |
52 | CSxxx | Elective-IV | 2 | 0 | 2 |
53 | CSxxx | Elective-IV Lab | 0 | 1 | 1 |
54 | CSxxx | Elective-V | 2 | 0 | 2 |
55 | CSxxx | Elective-V Lab | 0 | 1 | 1 |
56 | CSxxx | Elective-VI | 2 | 0 | 2 |
57 | CSxxx | Elective-VI Lab | 0 | 1 | 1 |
Total Credit Hrs | 12 | 6 | 18 | ||
Semester 7 | Theory | Lab | Total | ||
58 | CS412 | Final Year Project – I | 2 | 0 | 2 |
59 | CS411 | Analysis of Algorithms | 3 | 0 | 3 |
60 | CSxxx | Elective-VII | 2 | 0 | 2 |
61 | CSxxx | Elective-VII Lab | 0 | 1 | 1 |
62 | SS451 | Introduction to Marketing | 3 | 0 | 3 |
63 | EN441 | Technical & Business Writing | 3 | 0 | 2 |
64 | GE461 | Entrepreneurship | 2 | 0 | 2 |
Total Credit Hrs | 15 | 1 | 16 | ||
Semester 8 | Theory | Lab | Total | ||
65 | CS413 | Final Year Project – II | 4 | 0 | 4 |
66 | GE462 | Ideology and Constitution of Pakistan | 2 | 0 | 2 |
67 | GE463 | Professional Practices | 2 | 0 | 2 |
68 | GE464 | Civics and Community Engagement | 2 | 0 | 2 |
Total Credit Hrs | 10 | 0 | 10 | ||