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 Mission:
To provide theoretical knowledge and
practical skills required for a professional career in Artificial Intelligence. The degree program follows
Artificial Intelligence in breadth, covering core computing concepts with a specialization in Artificial
Intelligence and its application within the code of ethics.
You may become risk manager reporting analyst, project manager enterprise analyst, data engineer machine learning engineer, Artificial Intelligence developer etc.
Award of Degree:For the award of Bachelor of Science (Artificial Intelligence) degree, a student must have:
- Passed courses totaling at least 134 credit hours, including all core courses.
- Earned CGPA of at least 2.00
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | SS1019 Understanding Sirat-Un-Nabi (PBUH) | NC+0 |
| 2 | MT1003 Calculus and Analytical Geometry | 3+0 |
| 3 | CL1000 Introduction To Information and Communication Technology | 0+1 |
| 4 | CS1002 Programming Fundamentals | 3+1 |
| 5 | SS1012 Functional English | 2+1 |
| 6 | SS1013 Ideology and Constitution of Pakistan | 2+0 |
| 7 | SS1007 Islamic Studies/ Ethics | 2+0 |
| Total | 12 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | SS1015 Pakistan Studies | 2+0 |
| 2 | MTxxxx Qualitative Reasoning I | 3+0 |
| 3 | EE1005 Digital Logic Design | 3+1 |
| 4 | CS1004 Object Oriented Programming | 3+1 |
| 5 | SS1014 Expository Writing | 2+1 |
| 6 | SS1021 Understanding of Holy Quran I | 1+0 |
| 7 | Understanding of Holy Quran II | 1+0 |
| Total | 15 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | MTxxxx Qualitative Reasoning II | 3+0 |
| 2 | NSxxxx Natural Science Elective | 3+0 |
| 3 | CS2001 Data Structures | 3+1 |
| 4 | AI2001 Programming for AI | 2+1 |
| 5 | SSX31 SS Elective I | 3+0 |
| 6 | SS2043 Civics and Community Engagement | 2+0 |
| Total | 16 + 2 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | MT1004 Linear Algebra | 3+0 |
| 2 | EE2003 Computer Organization and Assembly Language | 3+1 |
| 3 | CS2005 Database Systems | 3+1 |
| 4 | CS2004 Fundamentals of Software Engineering | 3+0 |
| 5 | AHX21 Arts and Humanities Elective I | 2+0 |
| 6 | MG4011 Entrepreneurship | 3+0 |
| Total | 17 + 2 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 5 |
||
| 1 | AI2002 Artificial Intelligence | 3+1 |
| 2 | CS2006 Operating Systems | 3+1 |
| 3 | CS2009 Design and Analysis of Algorithms | 3+0 |
| 4 | AI3001 Knowledge Representation & Reasoning | 3+0 |
| 5 | IDSxxxx Inter-Disciplinary Elective - I | 3+0 |
| Total | 15 + 2 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 6 |
||
| 1 | AIX01 AI Elective I | 3+0 |
| 2 | CS3001 Computer Networks | 3+1 |
| 3 | AI3006 Neural Learning | 3+0 |
| 4 | AI4002 Computer Vision | 3+0 |
| 5 | IDSxxxx Inter-Disciplinary Elective - II | 3+0 |
| Total | 15 + 1 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 7 |
||
| 1 | AIX02 AI Elective II | 3+0 |
| 2 | CS4075 Cloud Computing | 3+0 |
| 3 | CS3002 Information Security | 3+0 |
| 4 | AI4091 Final Year Project – I | 0+3 |
| 5 | AI3007 AI Engineering | 3+0 |
| Total | 12 + 3 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 8 |
||
| 1 | AIX03 AI Elective III | 3+0 |
| 2 | AIX04 AI Elective IV | 3+0 |
| 3 | AI4092 Final Year Project – II | 0+3 |
| 4 | AIX05 AI Elective V | 3+0 |
| 5 | CSxxxx Professional Certification | 3+0 |
| Total | 12 + 3 | |
| 6 | CS2019 Computing Internship * | 0+1 |
| Domain | Cr. Hrs |
|---|---|
| General Education | 34 |
| Computing Core | 48 |
| Specialization Electives | 30 |
| Professional Certification | 03 |
| Interdisciplinary Courses | 12 |
| Computing Internship | 01 |
| FYP | 06 |
| Total | 134 |
Note 1: Total: 134
Note 2: Registration in “Final Year Project-I” is allowed provided the student has earned at least 103 credit hours, and his/her CGPA is equal to or greater than the graduating CGPA (2.0).
Note 3: * Internship can be registered in any semester after the third and including the eighth semester. The Internship credit hours and grade shall be used in the calculation of the CGPA of the completed degree. It will not be used in the determination of semester CGPA and merit position.
Program Educational Objectives (PEO)
- PO 1: Fundamental Computing Knowledge & Continuous Improvement: Demonstrate proficiency in applying acquired computing knowledge to fulfill professional responsibilities effectively and actively seek opportunities to explore emerging fields, advancements and research in computing to enhance organizational outcomes.
- PO 2: Ethical and Societal Responsibilities: Demonstrate a commitment to integrating ethical principles and societal concerns into their professional practices and decision making.
- PO 3: Communication Skills and Leadership: Proficiently communicate technical and managerial information, both orally and in writing, while effectively leading assigned groups/teams or operating in entrepreneurial environments.
Program Learning Outcomes (PLOs)
|
1 |
Academic Education |
Completion of an accredited program (BS AI) of study designed to prepare graduates as computing professionals |
|
2 |
Knowledge for Solving Computing Problems |
Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements |
|
3 |
Problem Analysis |
Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines |
|
4 |
Design/ Development of Solutions |
Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations |
|
5 |
Modern Tool Usage |
Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations |
|
6 |
Individual and Team Work |
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings |
|
7 |
Communication |
Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions |
|
8 |
Computing Professionalism and Society |
Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice |
|
9 |
Ethics |
Understand and commit to professional ethics, responsibilities, and norms of professional computing practice |
|
10 |
Life-long Learning |
Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional |