Bachelor of Science (Artificial Intelligence)
Those who have taken the HSSC or an equivalent examination and are awaiting result are also eligible to apply. The four-year undergraduate programs of full time study are divided into eight semesters.
Program Info
Award of Degree
For the award of BS (Artificial Intelligence) degree, a student must have:
- Passed courses with a total of at least 132 credit hours, including all those courses that have been specified as core courses
- Obtained a CGPA of at least 2.00
Offered Campuses
| Chiniot-Faisalabad | Islamabad | Karachi | Lahore | Peshawar |
|---|---|---|---|---|
Eligibility:
- At least 60% marks in SSC (Matric) or an equivalent examination (such as O-levels) AND
- Should have studied for HSSC or an equivalent qualification, for at least two years AND
- At least 50% marks in HSSC or an equivalent qualification AND
- studied Mathematics at the HSSC or equivalent level.
Selection Criteria:
- 50% weight to marks obtained in Admission Test AND
- 10% weight to higher percent score of SSC (or an equivalent exam) AND
- 40% weight to higher percent score of HSSC (or an equivalent exam)
-
Weightage of HSSC marks shall be calculated based on (which ever is applicable) at the time
of compilation of merit list
- HSSC part I and II OR
- HSSC part I if HSSC part II not available OR
- IBCC equivalence of A-level OR
- IBCC equivalence of O-level
- Cut-off marks in the NTS-NAT IE exam to be determined by the University
NOTE:All documents/transcripts will be checked at the time of admission.
Any
incorrect/false information submitted by the applicant or any attempt to hide information
will lead to disqualification of the candidate.
Tentative Study Plan
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | Introduction to ICT | 0+1 |
| 2 | Programming Fundamentals | 3+1 |
| 3 | Linear Algebra | 3+0 |
| 4 | Calculus & Analytical Geometry | 3+0 |
| 5 | Pakistan Studies | 3+0 |
| 6 | English Composition & Comprehension | 2+1 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | Object Oriented Programming | 3+1 |
| 2 | Digital Logic Design | 3+1 |
| 3 | Differential Equations | 3+0 |
| 4 | Islamic Studies/ Ethics | 3+0 |
| 5 | Communication & Presentation Skills | 2+1 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | Programming for AI | 3+1 |
| 2 | Data Structures | 3+1 |
| 3 | Discrete Structures | 3+0 |
| 4 | Probability & Statistics | 3+0 |
| 5 | University Elective – I | 3+0 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | Artificial Intelligence | 3+1 |
| 2 | Fundamentals of Software Engineering | 3+0 |
| 3 | Database Systems | 3+1 |
| 4 | Computer Organization and Assembly Language | 3+1 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 5 |
||
| 1 | Machine Learning | 3+1 |
| 2 | Knowledge Representation & Reasoning | 3+0 |
| 3 | Operating Systems | 3+1 |
| 4 | Design and Analysis of Algorithms | 3+0 |
| 5 | Technical & Business Writing | 3+0 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 6 |
||
| 1 | Artificial Neural Networks | 3+0 |
| 2 | Computer Networks | 3+1 |
| 3 | Parallel & Distributed Computing | 3+0 |
| 4 | AI Elective I | 3+0 |
| 5 | AI Elective II | 3+0 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 7 |
||
| 1 | Final Year Project – I | 0+3 |
| 2 | Computer Vision | 3+1 |
| 3 | Fundamentals of Natural Language Processing | 3+0 |
| 4 | AI Elective III | 3+0 |
| 5 | University Elective – II | 3+0 |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 8 |
||
| 1 | Final Year Project – II | 0+3 |
| 2 | Information Security | 3+0 |
| 3 | Professional Practices | 3+0 |
| 4 | University Elective – III | 3+0 |
| 5 | AI Elective IV | 3+0 |
Note: Registration in “Project-I” is allowed provided the student has earned at least 100 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).
Program Educational Objectives (PEO)
- Knowledge of the fundamentals of Computing and Artificial Intelligence - A graduate who is performing his/her professional roles with understanding of fundamental knowledge of computing and artificial intelligence acquired during his studies.
- Ethical and Societal Responsibilities - A graduate who is fulfilling his/her professional responsibilities taking into account ethical and societal concerns with special emphasis on artificial intelligence and its applications.
- Communication Skills - A graduate who is effective in oral and written communication of technical and managerial information.
- Leadership - A graduate who is effective in a leadership role of a group/team assigned to him/her or in an entrepreneurial environment.
- Continuous Improvement - A graduate who keeps on exploring new fields and areas in computing and artificial intelligence for his/her organization or conducts research for academic pursuits.
Program Learning Outcomes (PLOs)
- Computing and Artificial Intelligence Knowledge - Apply knowledge of mathematics, natural sciences, computing fundamentals, and a computing specialization to solve complex computing problems using artificial intelligence techniques.
- Problem Analysis - Identify, formulate, research literature, and analyze complex computational problems, reaching substantiated conclusions using first principles of mathematics, natural sciences, computing, and artificial intelligence.
- Design/Develop Solutions - Design solutions for complex computing problems and design systems, components, and processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
- Investigation & Experimentation - Conduct investigation of complex computing problems using research based knowledge and research based methods.
- Modern Tool Usage - Create, select, and apply appropriate techniques, resources and modern computing and artificial intelligence tools, including prediction and modelling for complex computing problems.
- Society Responsibility - Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to context of complex computing problems.
- Environment and Sustainability - Understand and evaluate sustainability and impact of professional computing and artificial intelligence work in solving complex computing problems.
- Ethics - Apply ethical principles and commit to professional ethics and responsibilities and norms of computing and artificial intelligence practice.
- Individual and Team Work - Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
- Communication - Communicate effectively on complex computing and AI activities with the computing and artificial intelligence community and with society at large.
- Project Management and Finance - Demonstrate knowledge and understanding of management principles and economic decision making and apply these to one's own work as a member or a team.
- Life Long Learning - Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological changes.