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Annexure IV-BS Artificial Intelligene Scheme of Studies

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UNDERGRADUATE
CURRICULUM
2022
BS Artificial Intelligence
Faculty of Engineering and Technology,
Gomal University, KPK,
Dera Ismail Khan
The BS (AI) prepares the students with in-depth knowledge to transform large and complex
scenarios into actionable decisions. The program and its curriculum focus on how complex inputs
such as knowledge, vision, language, and huge databases/dataset repositories can be used for
knowledge extraction and optimum real-time decision making in real-world applications. The
curriculum of the BS (AI) program covers the domain such as soft-computing, mathematics,
automated reasoning, statistics, computational theory & modeling, knowledge representation &
reasoning, machine learning, deep learning, natural language processing, vision, and symbolic
computation, etc. The program also encourages students to take courses in ethics and social
responsibility, with the opportunity to participate in long term projects in which artificial
intelligence can be applied to solve problems that can change the world for the better in areas like
agriculture, defense, healthcare, governance, transportation, e-commerce, finance, and
education.
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Curriculum: The BS Artificial Intelligence degree program is 131 credit hours.
Degree Requirements: Minimum of 131 credit hours including a senior design
project of 6 credit hours, with minimum CGPA of 2.00
Eligibility Criteria: At least 50 % marks in Intermediate (HSSC), A-Level & equivalent
examination with Mathematics or equivalent qualification with Mathematics.
SEMESTER BREAKUP
First Year (Fall and Spring Semesters)
Semester
Code
1
HS-111
GS-112
CS-113
CS-113L
CS-114
CS-114L
HS-116
2
CS-121
CS-121L
AI-122
AI-122L
GS-123
GS-124
HS-125
GS-126
3
AI-211
AI-211L
AI-212
AI-212L
AI-214
AI-214L
GS-213
GS-215
AI-221
AI-221L
4
AI-222
AI-222L
AI-223
AI-224
AI-224L
AI-225
Course Title
English Composition and Comprehension
Calculus and Analytical Geometry
Fundamentals of Programming
Fundamentals of Programming (Lab)
Introduction to Computing
Introduction to Computing (Lab)
Islamic Studies/ Ethics
Total Credit Hours per Semester 15
Object Oriented Programming Techniques
Object Oriented Programming Techniques (Lab)
Digital Logic Design
Digital Logic Design (Lab)
Linear Algebra
Communication and Presentation Skills
Pakistan Studies
Probability & Statistics
Total Credit Hours per Semester 19
Second Year (Fall and Spring Semesters)
Data Structures and Algorithms
Data Structures and Algorithms (Lab)
Computer Organization & Assembly Language
Computer Organization & Assembly Language (Lab)
Artificial Intelligence
Artificial Intelligence (Lab)
Discrete Mathematical Structures
Differential Equations
Total Credit Hours per Semester 18
Computer Networks and Data Communications
Computer Networks and Data Communications
(Lab)
Database Systems
Database Systems (Lab)
Design and Analysis of Algorithms
Programming for Artificial Intelligence
Programming for Artificial Intelligence (Lab)
AI Elective – I
Total Credit Hours per Semester 17
CH
3
3
3
1
2
1
2
PreRequisite
Courses
None
3
1
3
1
3
3
2
3
CS-114
CS-114L
3
1
3
1
3
3
1
3
CS-114
CS-114L
AI-122
AI-122L
CS-121
CS-121L
3
None
GS-112
HS-111
None
1
CS-113
CS-113L
3
1
2
1
3
3
AI-122
AI-122L
None
AI-214
AI-214L
None
Page 3 of 5
3rd Year (Fall and Spring Semesters)
Semester
5
6
7
8
Code
AI-311
AI-311L
AI-312
AI-312L
AI-313
AI-313L
AI-314
AI-315
EE-316
HS-321
AI-322
AI-322L
AI-323
AI-324
AI-325
EE-326
AI-411A
AI-412
AI-412L
HS-413
EE-414
AI-411B
AI-421
EE-423
AI-424
Course Title
Operating Systems
Operating Systems Lab
Artificial Neural Networks
Artificial Neural Networks Lab
Machine Learning
Machine Learning Lab
Knowledge Representation & Reasoning
AI Elective – II
University Elective – I
Total Credit Hours per Semester 19
Technical and Business Writing
Computer Vision
Computer Vision Lab
Natural Language Processing
Software Engineering
AI Elective – III
University Elective – II
Total Credit Hours per Semester 18
Fourth Year (Fall and Spring Semesters)
Senior Design Project-I
Parallel and Distributed Computing
Parallel and Distributed Computing (Lab)
Professional Practices
University Elective – II
Total Credit Hours per Semester 13
Senior Design Project-II
Information Security
University Elective – III
AI Elective – IV
Total Credit Hours per Semester 12
Total Credit Hours 131
CH
3
1
2
1
2
1
3
3
3
Pre-Requisite
Courses
AI-211
AI-211L
AI-224
AI-224L
AI-224
AI-224L
AI-224
None
3
2
1
3
3
3
3
GS-124
AI-312
AI-312L
AI-312
3
1
3
3
3
None
CS-121, AI-311
CS-121L, AI-311L
3
3
3
3
AI-411A
None
None
None
Area of Specialization
LIST OF UNIVERSITY ELECTIVES
Electives based on the
Specialization
Area of Specialization
Electives based on the AI
Specialization
S. #
1
2
3
4
5
6
7
Course Title
Electronic Circuit Design
Digital Communications
Digital Signal Processing
Wireless and Mobile Communications
Digital Image Processing
Mobile and Pervasive Computing
Information Theory and Coding
LIST OF AI ELECTIVES
S. #
1
2
3
4
5
6
7
8
9
10
Course Title
AI Speech Processing
Fuzzy Systems
Reinforcements Learning
Knowledge Based Systems
Data Mining
Human computer interaction
Optimization techniques
Big data
Agent Based Modeling
Principles Design of IOT systems
Credit Hours
3
3
3
3
3
3
3
Credit Hours
3
3
3
3
3
3
3
3
3
3
Page 5 of 5
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