Contact Us: +92 5826 960044 Email :info@uokajk.edu.pk
HOD | Lecturer
E-mail: hodai@uokajk.edu.pk,waqar.hussain@uokajk.edu.pk Phone: 05826-960025
History
The provision of Artificial Intelligence at the University of Kotli (UoK) began in mid-2020. This also made the university pioneers in AI in Azad Kashmir and one of pioneers in Pakistan. The Bachelor of Artificial programme started in the 2020/21 academic session, with an initial intake of 43 students.
Artificial Intelligence Department at University of Kotli is centered around the study and development of intelligent, autonomous systems. Our research focuses on practice and theoretical foundations as well as applications of AI in building intelligent systems across core areas concerned with the development of systems that exhibit behavior typically associated with human cognition, such as perceiving, learning, communicating, reasoning, making decisions, and acting in a physical and social environment. Department primarily focuses on machine learning, natural language, speech processing, computer vision, robotics, autonomous agents and multi-agent systems, human-machine interactions and collectives, cognition, computer vision and imaging, audio-visual signal processing and human modeling and security.
The BS(AI) program is a four-year program fully taught in English giving the students an in-depth knowledge they need 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 can be used to make decisions to enhance human capabilities.
The minimum requirements for admission in a bachelor’s degree program in Artificial Intelligence program is as following:
a) At least 50% marks in Intermediate (HSSC) examination with Mathematics or equivalent qualification with Mathematics, certified by IBCC.
OR
b) At least 50% marks in Intermediate (HSSC) examination with Pre-Medical or equivalent qualification, certified by IBCC.
Deficiency:_ _
“Students with pre-medical must have to pass deficiency courses of Mathematics of 6 Credit hours in first two semesters.”
Study Plan for BS(Artificial Intelligence)
Following are the proposed areas which are required to be covered to complete the degree. Covered areas consist of core courses (compulsory), foundation courses, general courses and electives.
Total Credit Hours: 130
The following is distribution of Total Credit Hours.
One Lab Credit Hour is equal to 3 Contact Hours.
|
Category |
Credit Hours |
|
|
|
HEC |
UOK |
Min. No. of Courses |
|
|
General Education |
19 |
19 |
7 |
|
University Electives |
12 |
12 |
4 |
|
Mathematics & Science Foundation |
12 |
12 |
4 |
|
Computing Core |
39 |
39 |
11 |
|
Computer Science Core |
18 |
18 |
5 |
|
AI Core (Domain Core) |
18 |
18 |
6 |
|
AI Electives (Domain Electives) |
12 |
12 |
4 |
|
Total Credit Hours |
130 |
130 |
41 |
General Education
|
|
|
General Education Courses (CGE) (19 Credit Hours) |
||
|
# |
Course Code |
Course Title |
Credit Hours |
Semester |
|
|
CS-1105 |
Introduction to Info. & Comm. Technologies
|
3 (2-1)
|
1 |
|
|
HU-1104 |
English Composition & Comprehension
|
3(3-0) |
1 |
|
|
HU-1203 |
Communication & Presentation Skills |
3 (3-0) |
2 |
|
|
HU-3202 |
Technical & Business Writing |
3 (3-0) |
6 |
|
|
HU-4203 |
Islamic Studies/ Ethics |
2 (2-0) |
8 |
|
|
HU-4102 |
Pakistan Studies |
2 (2-0) |
7 |
|
|
CS-2103 |
Professional Practices |
3 (3-0) |
3 |
|
TOTAL
|
19 (18-1) |
|||
University Elective
|
|
University Elective Courses (UE) (12 Credit Hours) (Not limited to the list below) |
||||
|
# |
Course Code |
Course Title |
Credit Hours |
Semester |
|
|
|
MG-1204 |
Financial Accounting |
3(3-0) |
2 |
|
|
|
HU-4103 |
Arabic |
3(3-0) |
7 |
|
|
|
HU-4104 |
Chinese |
3(3-0) |
7 |
|
|
|
SS-4204 |
Stress Management & Self Care |
1(1-0) |
8 |
|
|
|
SS-4205 |
Human Behavior |
1(1-0) |
8 |
|
|
|
SS-4206 |
Public Policy |
1(1-0) |
8 |
|
|
|
MG-2203 |
Human Resource Management |
3(3-0) |
4 |
|
|
|
MG-2204 |
Micro Economics |
3(3-0) |
4 |
|
|
|
MG-4207 |
Marketing and Entrepreneurship |
3(3-0) |
8 |
|
|
|
MG-1205 |
Principles of Management |
3(3-0) |
2 |
|
|
|
MG-4105 |
New Business Ventures |
3(3-0) |
7 |
|
|
|
MG-4208 |
Social Media Marketing |
3(2-1) |
8 |
|
|
Total |
12(12-0) |
||||
Mathematics & Science Foundation
|
|
Mathematics & Science Foundation Courses (12 Credit Hours) |
|||
|
# |
Course Code |
Course Title |
Credit Hours |
Semester |
|
|
MT-1102 |
Calculus & Analytic Geometry |
3(3-0) |
1 |
|
|
MT-2202 |
Linear Algebra |
3(3-0) |
2 |
|
|
MT-1202 |
Probability & Statistics |
3(3-0) |
3 |
|
|
MT-2105 |
Differential Equations |
3(3-0) |
3 |
|
TOTAL
|
12 (12-0) |
|||
Computing Core
|
Computing Core Courses (CCC) (24 Credit Hours) |
||||
|
# |
Course Code |
Course Title |
Credit Hours |
Proposed Semester |
|
|
CC-1101 |
Programming Fundamentals |
4(3-1) |
1 |
|
|
CC-1102 |
Discrete Structures |
3 (3-0) |
3 |
|
|
CC-1201 |
Object Oriented Programming |
4 (3-1) |
2 |
|
|
CC-1202 |
Database Systems |
4 (3-1) |
5 |
|
|
CC-2101 |
Data Structures & Algorithms |
4 (3-1) |
3 |
|
|
CC-2103 |
Information Security |
3 (3-0) |
4 |
|
|
CC-2202 |
Computer Networks |
4 (3-1) |
4 |
|
|
CC-3101 |
Operating System |
4 (3-1) |
4 |
|
|
CC-3102 |
Software Engineering |
3 (3-0) |
5 |
|
|
CC-4101 |
Final Year Project - I |
2 (0-2) |
7 |
|
|
CC-4201 |
Final Year Project - II |
4 (0-4) |
8 |
|
TOTAL |
39 (27-12) |
|||
Computer Science Core
|
Computer Science Core Courses (CSCC) (18 Credit Hours) |
||||
|
# |
Course Code |
Course Title |
Credit Hours |
Proposed Semester |
|
|
CS-2103 |
Artificial Intelligence |
4 (3-1) |
6 |
|
|
CS-2102 |
Digital Logic Design |
4 (3-1) |
|
|
|
CS-2203 |
Analysis of Algorithms |
3 (3-0) |
4 |
|
|
CS-2104 |
Computer Organization & Assembly Language |
4 (3-1) |
3 |
|
|
CS-3201 |
Parallel & Distributed Computing |
3(2-1) |
7 |
|
TOTAL |
18 (14-4) |
|||
Artificial Intelligence Core
|
|
Artificial Intelligence Core Courses (AICC) (18 Credit Hours) |
|||
|
# |
Course Code |
Course Title |
Credit Hours |
Proposed Semester |
|
|
AIC-2201 |
Programming for Artificial Intelligence |
3 (2-1) |
3 |
|
|
AIC-3102 |
Machine Learning |
3 (2-1) |
3 |
|
|
AIC-3101 |
Artificial Neural Networks |
3 (2-1) |
5 |
|
|
AIC-3103 |
Knowledge Representation & Reasoning |
3 (3-0) |
5 |
|
|
AIC-3202 |
Computing Vision |
3 (2-1) |
5 |
|
|
AIC-3203 |
Natural Language Processing |
3 (3-0) |
|
|
TOTAL |
18 (14-4) |
|||
Artificial Intelligence Elective
|
Artificial Intelligence–Elective Courses (Must be any four courses or 12 credit hours, universities may add lab hours to elective courses, where labs are not mentioned)
|
||||
|
# |
Course Code |
Course Title |
Credit Hours |
Proposed Semester |
|
|
CS-2206 |
Advance Statistics |
3 (3-0) |
|
|
|
CS-4209 |
Theory of Automata & Formal Languages |
3 (3-0) |
|
|
|
CS-4210 |
Data Mining |
3 (2-1) |
|
|
|
CS-3204 |
Deep Learning |
3 (3-0) |
|
|
|
CS-3205 |
Speech Processing |
3 (3-0) |
|
|
|
CS-3206 |
Reinforcements Learning |
3 (3-0) |
|
|
|
CS-4107 |
Fuzzy Systems |
3 (3-0) |
|
|
|
CS-4211 |
Evolutionary Computing |
3 (3-0) |
|
|
|
CS-4212 |
Swarm Intelligence |
3 (3-0) |
|
|
|
CS-4213 |
Agent Based Modeling |
3 (3-0) |
|
|
|
CS-4108 |
Knowledge Based Systems |
3 (3-0) |
|
|
TOTAL |
12(11-1) |
|||
|
|
Code |
Course title |
Lec. HRS |
Lab. HRS |
Credit HRS |
|
Semester 1 |
CS-1105 |
Introduction to ICT |
|
|
3 (2-1) |
|
CC-1101 |
Programming Fundamentals |
|
|
4 (3-1) |
|
|
HU-1104 |
English Composition & Comprehension |
|
|
3 (3-0) |
|
|
MT-1102 |
Calculus & Analytical Geometry |
|
|
3 (3-0) |
|
|
CC-1102 |
Discrete Structure |
|
|
3 (3-0) |
|
|
Semester 2
|
CC-1201 |
Object Oriented Programming |
|
|
4 (3-1) |
|
CC-1202 |
Database Systems |
|
|
4 (3-1) |
|
|
MT-1203 |
Linear Algebra |
|
|
3 (3-0) |
|
|
MT-1202 |
Probability & Statistics |
|
|
3 (3-0) |
|
|
HU-1203 |
Communication & Presentation Skills |
|
|
3 (3-0) |
|
|
Semester 3
|
CC-2101 |
Data Structures & Algorithms |
|
|
4 (3-1) |
|
CC-2103 |
Information Security |
|
|
3 (3-0) |
|
|
CS-2103 |
Artificial Intelligence |
|
|
4 (3-1) |
|
|
CS-2106 |
Digital Logic Design |
|
|
4 (3-1) |
|
|
MT-2105 |
Differential Equations |
|
|
3 (3-0) |
|
|
Semester 4
|
CC-2202 |
Computer Network |
|
|
4 (3-1) |
|
CS-2204 |
Comp. Org. & Assembly Language |
|
|
4 (3-1) |
|
|
CS-2203 |
Analysis of Algorithm |
|
|
3 (3-0) |
|
|
AIC-2201 |
Programming for Artificial Intelligence |
|
|
3 (2-1) |
|
|
|
AI Elective – 1 |
|
|
3 (3-0) |
|
|
Semester 5
|
CC-3101 |
Operating System |
|
|
4 (3-1) |
|
AIC-3101 |
Artificial Neural Network |
|
|
3 (2-1) |
|
|
AIC-3102 |
Machine Learning |
|
|
3 (2-1) |
|
|
AIC-3103 |
Knowledge Representation & Reasoning |
|
|
3 (3-0) |
|
|
|
AI Elective-2 |
|
|
3 (3-0) |
|
|
|
University Elective-1 |
|
|
3 (3-0) |
|
|
Semester 6 |
CS-3201 |
Parallel & Distributed Computing |
|
|
3 (2-1) |
|
AIC-3202 |
Computing Vision |
|
|
3 (2-1) |
|
|
AIC-3203 |
Natural Language Processing |
|
|
3 (3-0) |
|
|
|
AI Elective -3 |
|
|
3 (3-0) |
|
|
|
AI Elective -4 |
|
|
3 (3-0) |
|
|
|
University Elective-2 |
|
|
3 (3-0) |
|
|
Semester 7 |
--- |
Final Year Project – I |
|
|
2 (0-2) |
|
--- |
Software Engineering |
|
|
3 (3-0) |
|
|
CC-4102 |
University Elective – 3 |
|
|
3 (3-0) |
|
|
HU-4102 |
Technical & Business Writing |
|
|
3 (3-0) |
|
|
HU-4103 |
Islamic Studies/Ethics |
|
|
2 (2-0) |
|
|
Semester 8 |
--- |
Final Year Project – II |
|
|
4 (0-4) |
|
--- |
University Elective – 4 |
|
|
3 (3-0) |
|
|
CS-4201 |
Professional Practices |
|
|
3 (3-0) |
|
|
HU-4202 |
Pakistan Studies |
|
|
2 (2-0) |
