BSCS (Hons): Artificial Intelligence

/BSCS (Hons): Artificial Intelligence
BSCS (Hons): Artificial Intelligence 2019-08-07T09:13:16+00:00

BSCS-Artificial Intelligence aims to make computers “intelligent”, capable of solving complex problems and provide effective services to humans. The objectives of this program are to provide students an in-depth knowledge of AI techniques, models and algorithms used to undertake these problems. This program is also designed to expose students to the frontiers of AI-intensive computing and information systems, while providing a sufficiently strong foundation to encourage further research.

Marks Required : 50%

Credit Hours : 132

Duration : 4 Years

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Campus Name Scholarship Percentage
DHA Campus N/A
Cantt Campus 55%
Gulberg Campus 75%
Raiwind Rd Campus 75%


Semester 1

Sr. Course Title
1. Programming Fundamentals
2. Islamic Studies/Ethics
3. Basic Electronics
4. Calculus & Analytical Geometry
5. English Composition & Comprehension
6. Introduction to Computing & Social Media Technologies

Semester 2

Sr. Course Title
1. Object Oriented Programming
2. Pakistan Studies
3. Digital Logic Design
4. Multivariate Calculus
5. Communication and Interpersonal Skills
6. Principles of Accounting

Semester 3

Sr. Course Title
1 Data Structure and Algorithms
2. Discrete Structures (Comp. Core)
3. Computer Organization and Architecture (CS. Core.)
4 Probability and Statistics (Comp. Supp.)
5. Technical and Business Writing
6. Multimedia Systems and Design

Semester 4

Sr. Course Title
1. Web Systems and Technologies
2. Software Engineering (Comp. Core)
3. Operating Systems (Comp. Core.)
4. Data Comm. & Computer Networks
5. Entrepreneurship (Uni. Elec.)
6. Database Systems (Comp. Core)

Semester 5

Sr. Course Title
1. Human Resource Management
2. Enterprise Resource Planning Systems
3. Principles of Psychology (Uni.Elec.)
4. Object Oriented Software Engineering
5. Software Requirements and Specifications
6. Global Professional Practices (Gen. Edu.)

Semester 6

Sr. Course Title
1. Human Computer Interaction
2. Linear Algebra (Comp. Sup)
3. Software Architecture Design
4. Software Verification, Validation and Testing
5. SE Elective 1
6. SE Elective 2

Semester 7

Sr. Course Title
1. Capstone Project I (Comp. Core.)
2. Software Project Management
3. SE Elective 3
4. SE Elective 4
5. SE Elective 5

Semester 8

Sr. Course Title
1. Information Security (CS. Core)
2. Software Engineering Economics
3. Citizenship and Social Responsibilities
4. Capstone Project II (Comp. Core.)
5. SE Elective 6

Specialization in Artificial Intelligence

Sr. Elective Courses
1. Computer Vision
2. Artificial Intelligence
3. Deep Learning
4. Introduction to Bioinformatics
5. Expert Systems
6. Machine Learning
7. Artificial Neural Networks
8. Cognitive Psychology