Artificial Intelligence Engineering Technology Program
Program Description
The Bachelor of Science in Artificial Intelligence Engineering Technology program is designed to develop graduates
with applied knowledge and practical skills in Artificial Intelligence Technology, preparing them for careers in
emerging AI domains. The program provides a strong foundation in programming for AI, data engineering, applied
machine learning, cloud computing, deep learning, MLOps, AI system testing and monitoring, and related engineering
technologies, complemented by project-based learning, AI technology depth electives, technopreneurship, professional
practices, and supervised industrial training. It emphasizes the ability to analyze and solve broadly defined
engineering technology problems, design and investigate AI-based solutions, use modern technologies and tools,
communicate effectively, work individually and collaboratively, and manage projects in multidisciplinary environments.
The program also promotes professional ethics, social responsibility, continuous learning, innovation, and entrepreneurship,
enabling graduates to contribute responsibly to the development and application of AI technologies in real-world contexts.
Program Educational Objectives (PEOs)
| PEO-1 |
Demonstrate growth in careers related to Artificial Intelligence Technology through applied knowledge and practical skills.
|
| PEO-2 |
Collaborate and communicate effectively to develop AI-based solutions for real-world problems.
|
| PEO-3 |
Maintain professional integrity and commitment to social, ethical, and responsible use of AI technologies.
|
| PEO-4 |
Engage in continuous learning, innovation, and entrepreneurship in emerging AI technology domains. |
Program Learning Outcomes (PLOs)
|
PLO-1: Engineering Technology Knowledge
|
An ability to apply knowledge of mathematics, natural science, engineering technology fundamentals, and engineering
technology specialization, to defined and applied engineering technology procedures, processes, systems or methodologies.
|
|
PLO-2: Problem Analysis
|
An ability to identify, formulate, research literature, and analyze Broadly Defined Engineering Technology
Problems to reach substantiated conclusions, using analytical tools appropriate to the discipline or area of
specialization.
|
|
PLO-3: Design and Development of Solutions
|
An ability to design solutions for Broadly Defined Engineering Technology Problems that help design of systems,
components or processes that meet specified needs, while being cognizant of public health and safety issues,
and conscious of cultural, societal, and environmental considerations.
|
|
PLO-4: Investigation
|
An ability to investigate Broadly Defined Engineering Technology Problems by locating, searching, and selecting
relevant data from codes, data bases and literature, and finally, by designing and conducting experiments to
provide valid conclusions.
|
|
PLO-5: Modern Tool Usage
|
An ability to select and apply appropriate techniques, resources, modern technology, and IT tools,
including prediction and modelling, to Broadly Defined Engineering Technology Problems.
|
|
PLO-6: The Engineering Technologist and the Society |
An ability to understand the societal, health, safety, legal and cultural issues, and the consequent
responsibilities relevant to engineering technology practice and solutions to Broadly Defined Engineering Technology problems.
|
|
PLO-7: Ethics
|
Understand and commit to professional ethics and responsibilities and norms of engineering technology practice.
|
|
PLO-8: Individual and Collaborative Teamwork
|
An ability to function effectively as an individual, and as a member or leader in diverse teams
|
|
PLO-9: Communication
|
An ability to communicate effectively on Broadly Defined Engineering Technology activities with
the engineering technologist community, and with society at large, by comprehending and writing effective
reports and design documents, making effective presentations, and giving and receive clear instructions
|
|
PLO-10: Project Management and Finance
|
An ability to demonstrate knowledge and understanding of engineering technology management principles
and apply these to one’s own work, as a member or leader in a team, and to manage projects in
multidisciplinary environments.
|
|
PLO-11: Lifelong Learning
|
An ability to recognize the need for and engage in independent and life-long learning in engineering technologies.
|
Curriculum
1st Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
GE-101
|
Information & Communication Technologies
|
2
|
1
|
2
|
3
|
|
2
|
GE-102
|
Calculus and Analytic Geometry
|
3
|
0
|
3
|
0
|
|
3
|
GE-103
|
Functional English
|
2
|
0
|
2
|
0
|
|
4
|
CS-101
|
Digital Logic & Computer Systems
|
1
|
1
|
1
|
3
|
|
5
|
CS-102
|
Programming Fundamentals
|
2
|
1
|
2
|
3
|
|
6
|
AT-101
|
Introduction to AI
|
3
|
0
|
3
|
0
|
|
7
|
GE-104
|
Understanding of Holy Quran-I
|
0
|
1
|
0
|
3
|
|
8
|
GE-105
|
Technology, Safety and the Environment
|
1
|
0
|
1
|
0
|
|
|
|
Total
|
14
|
4
|
14
|
12
|
|
|
|
Grand Total
|
18
|
|
26
|
|
2nd Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
CS-103
|
Object-Oriented Programming
|
2
|
1
|
2
|
3
|
|
2
|
MT-101
|
Multivariable Calculus
|
2
|
0
|
2
|
0
|
|
3
|
MT-102
|
Linear Algebra & Differential Equations
|
2
|
0
|
2
|
0
|
|
4
|
GE-106
|
Understanding of Holy Quran-II
|
0
|
1
|
0
|
3
|
|
5
|
CS-104
|
Web Technologies and API Development
|
1
|
2
|
1
|
6
|
|
6
|
CS-105
|
Data Structures
|
2
|
1
|
2
|
3
|
|
7
|
CS-106
|
Operating Systems
|
1
|
1
|
1
|
3
|
|
8
|
GE-107
|
Ideology and Constitution of Pakistan
|
2
|
0
|
2
|
0
|
|
|
|
Total
|
12
|
6
|
12
|
18
|
|
|
|
Grand Total
|
18
|
|
30
|
|
3rd Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
MT-201
|
Probability & Statistics
|
2
|
0
|
2
|
0
|
|
2
|
AT-201
|
Programming for AI
|
1
|
2
|
1
|
6
|
|
3
|
CS-201
|
Database Management Systems
|
1
|
1
|
1
|
3
|
|
4
|
GE-201
|
Islamic Studies / Ethics
|
2
|
0
|
2
|
0
|
|
5
|
CS-202
|
Embedded Systems
|
2
|
1
|
2
|
3
|
|
6
|
AT-202
|
Data Engineering
|
1
|
2
|
1
|
6
|
|
7
|
MT-202
|
Project Management
|
2
|
0
|
2
|
0
|
|
|
|
Total
|
11
|
6
|
11
|
18
|
|
|
|
Grand Total
|
17
|
|
29
|
|
4th Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
AT-203
|
Applied Machine Learning
|
1
|
2
|
1
|
6
|
|
2
|
GE-202
|
Expository Writing
|
2
|
0
|
2
|
0
|
|
3
|
CS-203
|
Computer Networks
|
1
|
1
|
1
|
3
|
|
4
|
CS-204
|
Software Systems
|
2
|
0
|
2
|
0
|
|
5
|
AT-204
|
IDTE-I
|
1
|
1
|
1
|
3
|
|
6
|
AT-205
|
Cloud Computing
|
1
|
2
|
1
|
6
|
|
7
|
GE-203
|
Civics and Community Engagement
|
2
|
0
|
2
|
0
|
|
8
|
GE-204
|
Pakistan Studies
|
2
|
0
|
2
|
0
|
|
|
|
Total
|
12
|
6
|
12
|
18
|
|
|
|
Grand Total
|
18
|
|
30
|
|
5th Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
AT-301
|
MLOps
|
1
|
2
|
1
|
6
|
|
2
|
AT-302
|
Deep Learning Applications
|
1
|
2
|
1
|
6
|
|
3
|
AT-303
|
Depth Elective-I
|
1
|
1
|
1
|
3
|
|
4
|
AT-304
|
Depth Elective-II
|
1
|
1
|
1
|
3
|
|
5
|
AT-305
|
Depth Elective-III
|
1
|
1
|
1
|
3
|
|
6
|
AT-306
|
IDTE-II
|
1
|
1
|
1
|
3
|
|
|
|
Total
|
6
|
8
|
6
|
24
|
|
|
|
Grand Total
|
14
|
|
30
|
|
6th Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Weekly Contact Hours (Theory)
|
Weekly Contact Hours (Practical)
|
|
1
|
AT-307
|
AI System Testing and Monitoring
|
1
|
2
|
1
|
6
|
|
2
|
AT-308
|
Depth Elective-IV
|
1
|
1
|
1
|
3
|
|
3
|
AT-309
|
Depth Elective-V
|
1
|
1
|
1
|
3
|
|
4
|
GE-301
|
Technopreneurship
|
2
|
0
|
2
|
0
|
|
5
|
GE-302
|
Professional Practices
|
2
|
0
|
2
|
0
|
|
6
|
AT-310
|
Project
|
0
|
3
|
0
|
9
|
|
|
|
Total
|
7
|
7
|
7
|
21
|
|
|
|
Grand Total
|
14
|
|
28
|
|
7th Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Contact Hours
|
|
1
|
AT-401
|
Supervised Industrial Training
|
0
|
16
|
640
|
|
|
|
Grand Total
|
0 + 16 = 16
|
|
0 + 640 = 640
|
Training Structure: 1 Week Training = 1 Credit Hour.
1 Week Training = 40 contact hours @ 05 days of week, 08 hours per day.
8th Semester
|
Sr. No.
|
Course Code
|
Subject
|
Theory
|
Practical
|
Contact Hours
|
|
1
|
AT-402
|
Supervised Industrial Training
|
0
|
16
|
640
|
|
|
|
Grand Total
|
0 + 16 = 16
|
|
0 + 640 = 640
|
Training Structure: 1 Week Training = 1 Credit Hour.
1 Week Training = 40 contact hours @ 05 days of week, 08 hours per day.
|
