BS in Artificial Intelligence
PROGRAM EDUCATIONAL OBJECTIVES (PEO)
- Knowledge of the fundamentals of Computing and Artificial Intelligence: Our graduates will be proficient in the fundamentals of computing and artificial intelligence knowledge and will be read to apply that in professional roles in industry, academia, or a startup.
- Ethical and Societal Responsibilities: Our graduates will be able to work professionally with dignity and integrity by taking into account the ethical and social concerns.
- Communication Skills: Our graduates will possess effective oral and verbal communication ability in technical and managerial roles.
- Leadership: Our graduates will excel in a leadership capacity within a team or in a business setting.
- Continuous Improvement: Our graduates will be able to explore newly emerging fields in computing and artificial intelligence for her job role or academic purposes.
PROGRAM LEARNING OUTCOMES (PLOs)
This program prepares students to attain educational objectives by ensuring that students demonstrate achievement of the following outcomes:
- Academic Education To prepare graduates as computing professionals.
- 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 16 abstraction and conceptualization of computing models from defined problems and requirements
- 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
- 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
- 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
- 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 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.
- 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.
- Ethics Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
- Life-long Learning Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
CURRICULUM FOR BS (ARTIFICIAL INTELLIGENCE) PROGRAM
Semester | Course(s) Code (New) | Course(s) Title | Credit Hours | Prerequisite |
Semester I | AIN101 | Applied Physics | 3 + 1 | — |
| AIN111 | Introduction to Information and Communication Technology | 3 + 1 | — |
| AIN102 | Calculus and Analytical Geometry | 3 + 0 | — |
| HUM111 | Functional English | 3 + 0 | — |
| HS102 | Islamic Studies | 2 + 0 | — |
| HS103 | Pakistan Studies | 2 + 0 | — |
|
| Total Semester Credit Hours | (16 + 2) |
|
Semester II | HUM233 | Philosophy and Critical Thinking | 3 + 0 | — |
| HUM231 | Communication Skills | 3 + 0 | HUM111 |
| AIN131 | Programming Fundamentals | 3 + 1 | AIN111 |
| AIN103 | Linear Algebra and Differential Equations | 3 + 0 | AIN102 |
| HUM112 | Personal Development | 3 + 0 | — |
|
| Total Semester Credit Hours | (15 + 1) |
|
Semester III | AIN221 | Operating Systems | 3 + 1 | AIN101, AIN131 |
| AIN231 | Object Oriented Programming | 3 + 1 | AIN131 |
| AIN201 | Probability and Statistics | 3 + 0 | AIN102 |
| SSC231 | World History | 3 + 0 | HUM111 |
| AIN202 | Multivariate Calculus | 3 + 0 | AIN102 |
|
| Total Semester Credit Hours | (15 + 2) |
|
Semester IV | AIN232 | Data Structures & Algorithms | 3 + 1 | AIN231 |
| AIN233 | Database Management Systems | 3 + 1 | AIN221 |
| AIN241 | Discrete Structures | 3 + 0 | AIN202 |
| AIN203 | Applied Statistics | 3 + 0 | AIN201 |
| AIN261 | Data Communication and Computer Networks | 3 + 1 | AIN221 |
| HUM113 | Sociology | 3 + 0 | — |
|
| Total Semester Credit Hours | (18 + 3) |
|
Semester V | AIN371 | Artificial Intelligence | 3 + 1 | AIN232 |
| AIN342 | Design and Analysis of Algorithms | 3 + 0 | AIN232 |
| AIN372 | Continuous and Discrete Optimization | 3 + 1 | AIN103, AIN202, AIN203 |
| HUM241 | World Literature | 3 + 0 | HUM111 |
| AIN351 | Software Engineering | 3 + 0 | AIN231 |
|
| Total Semester Credit Hours | (15 + 2) |
|
Semester VI | AIN373 | Machine Learning | 3 + 1 | AIN371, AIN372 |
| AIN374 | Logic & Automated Reasoning | 3 + 0 | AIN371 |
| HUM121 | Academic Writing | 3 + 0 | HUM111 |
| AIN375 | Data Visualization | 3 + 1 | AIN202 |
| AIN331 | Parallel and Distributed Computing | 3 + 1 | AIN231 |
|
| Total Semester Credit Hours | (15 + 3) |
|
Semester VII | AIN471 | Final Year Project – I | 0 + 3 | AIN351 |
| AIN472 | Natural Language Processing | 3 + 1 | AIN373 |
| AINXXX | Elective I | 3 + 0 | – |
| AIN473 | Computer Vision | 3 + 1 | AIN373 |
| AINXXX | Elective II | 3 + 0 | – |
|
| Total Semester Credit Hours | (12+ 5) |
|
Semester VIII | AINXXX | Elective III | 3 + 0 | – |
| AIN474 | Deep Learning | 3 + 1 | AIN373 |
| AIN475 | Final Year Project – II | 0 + 3 | AIN471 |
| AIN476 | Artificial Intelligence for Robotics | 3 + 0 | AIN472, AIN374 |
| HUM232 | Ethics & Social Responsibility | 3 + 0 | — |
|
| Total Semester Credit Hours | (12 + 4) |
|
Program Total Credit Hour(s): 140 |
List of Elective Courses for BS (Artificial Intelligence)
Course Code | Course(s) Title | Credit Hours |
AINX7X | Natural Language Processing | 3 + 0 |
AINX7X | Artificial Intelligence for Robotic Systems | 3 + 0 |
AINX7X | Security Analytics | 3 + 0 |
AINX7X | Reinforcement Learning | 3 + 0 |
AINX7X | Image Processing & Analysis | 3 + 0 |
AINX7X | Probabilistic Graphical Models | 3 + 0 |
AINX7X | High-Performance Computing | 3 + 0 |
AINX7X | Big Data Analytics | 3 + 0 |
AINX7X | Social Media Mining | 3 + 0 |
AINX7X | Metaheuristic Optimization | 3 + 0 |
AINX7X | Security & Privacy | 3 + 0 |