Bs Artificial Intelligence
Superior University’s BS Artificial Intelligence program focuses on equipping the students with knowledge and core competencies necessary to exploit the infinite potential of AI while enabling them to develop novel subjects in logic and reasoning, data analytics, and deep learning. The curriculum also addresses broader systems engineering and ethical considerations regarding implementation in real-world systems.
Eligibility: Intermediate or Equivalent with 50 % Marks
- Course Duration: 4 Years
- Total Credit Hours: 131
- Semester: 8
Semester 1
| Course | Credit Hours |
|---|---|
| Programming Fundamentals | 4 |
| Introduction to Information & Communication Technologies | 4 |
| University Elective-1 | 3 |
| Discrete Structures | 3 |
| English Composition & Comprehension | 3 |
| Total | 17 |
Semester 2
| Course | Credit Hours |
|---|---|
| Object Oriented Programming | 4 |
| Pakistan Studies | 2 |
| Communication & Presentation Skills | 3 |
| Probability and Statistics | 3 |
| slamic Studies | 2 |
| Calculus & Analytical Geometry | 3 |
| Total | 17 |
Semester 3
| Course | Credit Hours |
|---|---|
| Data Structures & Algorithms | 4 |
| Technical & Business Writing | 3 |
| Artificial Intelligence | 4 |
| Information Security | 3 |
| Linear Algebra | 3 |
| Total | 17 |
Semester 4
| Course | Credit Hours |
|---|---|
| Database Systems | 4 |
| Operating Systems | 4 |
| Differential Equations | 3 |
| AI Elective-1 | 3 |
| Programming for AI | 3 |
| Total | 17 |
Semester 5
| Course | Credit Hours |
|---|---|
| Computing Vision | 3 |
| Software Engineering | 3 |
| Computer Networks | 4 |
| Analysis of Algorithms | 3 |
| Digital Logic Design | 4 |
| Total | 17 |
Semester 6
| Course | Credit Hours |
|---|---|
| AI Elective-2 | 3 |
| Computer Org. & Assembly Language | 4 |
| University Elective-2 | 3 |
| AI Elective-3 | 3 |
| Knowledge Representation & Reasoning | 3 |
| Total | 16 |
Semester 7
| Course | Credit Hours |
|---|---|
| Final Year Project 1 | 3 |
| AI Elective-4 | 3 |
| University Elective-3 | 3 |
| Machine Learning | 3 |
| Parallel & Distributed Computing | 3 |
| Total | 15 |
Semester 8
| Course | Credit Hours |
|---|---|
| Final Year Project-II | 3 |
| University Elective-4 | 3 |
| Professional Practices | 3 |
| Artificial Neural Networks | 3 |
| Natural Language Processing | 3 |
| Total | 15 |
To accommodate modern trends, Institute may reserve the right to change course requirements, fees, course classifications, course contents, class schedules, venues, faculty and the like, whenever it deems appropriate
