Department of Computer Engineering, UET Taxila

3. Curriculum

The curriculum comprises 131 credit hours across 8 semesters, with 14 to 18 credit hours per semester. Supervised internship or industrial training is a mandatory non-credit requirement, preferably completed after the 6th semester, as per university policy.

Category	Credit hours	Contents
General education	31	14 courses: ICT, English, Calculus, Applied Physics, Islamic Studies, Pakistan Studies, Professional Practices, Entrepreneurship, Project Management and more.
Mathematics	8	Multivariable Calculus, Linear Algebra and Differential Equations, Probability and Statistics.
Foundation	41	13 courses from Workshop Practice and Circuit Analysis to Data Structures, Operating Systems, System Modeling and Communication Systems for Robotics.
Program core	39	Programming for AI, Embedded Systems, Instrumentation, Mechatronics, Kinematics and Dynamics, Control, ROS, Machine Learning, Robot Vision, Mobile Robotics and the 6-credit Final Year Project.
Electives	12	Four courses chosen from a basket of 26.
Total	131

Semester-wise course plan

Semester 1 (contact hours: 25)

Code	Course title	Theory	Lab	Credit hours
GE-101	Applications of ICT	2	1	3
GE-102	Calculus and Analytic Geometry	3	0	3
GE-103	Functional English	3	0	3
CS-101	Workshop Practice	0	1	1
GE-104	Applied Physics	2	1	3
CS-102	Programming Fundamentals	3	1	4
	Total	13	4	17

Semester 2 (contact hours: 26)

Code	Course title	Theory	Lab	Credit hours
CS-103	Object-Oriented Programming	2	1	3
MT-101	Multivariable Calculus	2	0	2
GE-105	Expository Writing	3	0	3
CS-104	Digital Logic and Computer Systems	3	1	4
CS-105	Engineering Drawing	1	1	2
CS-106	Circuit Analysis	3	1	4
	Total	14	4	18

Semester 3 (contact hours: 25)

Code	Course title	Theory	Lab	Credit hours
MT-201	Linear Algebra & Differential Equations	3	0	3
CS-201	Data Structures and Algorithms	3	1	4
GE-201	Understanding of Holy Quran-I	0	1	1
CS-202	Signals and Systems	3	0	3
CS-203	Electronic Devices	2	1	3
CS-204	Design of Machine Elements	2	1	3
	Total	13	4	17

Semester 4 (contact hours: 24)

Code	Course title	Theory	Lab	Credit hours
CS-205	Operating Systems	3	1	4
GE-202	Understanding of Holy Quran-II	0	1	1
MT-202	Probability & Statistics	3	0	3
RA-201	Programming for AI	2	1	3
RA-202	Instrumentation and Measurements	2	1	3
GE-203	Ideology and Constitution of Pakistan	2	0	2
	Total	12	4	16

Semester 5 (contact hours: 25)

Code	Course title	Theory	Lab	Credit hours
RA-301	Embedded Systems	2	1	3
GE-301	Islamic Studies / Ethics	2	0	2
RA-302	Kinematics and Dynamics	2	1	3
RA-303	Machine Learning	3	1	4
GE-302	Project Management	2	0	2
CS-301	System Modeling and Simulation	2	1	3
	Total	13	4	17

Semester 6 (contact hours: 26)

Code	Course title	Theory	Lab	Credit hours
CS-302	Communication Systems for Robotics	2	1	3
RA-304	Control Systems	3	1	4
EL-301	Elective-I	2	1	3
RA-305	Robot Vision and Perception	3	1	4
GE-303	Entrepreneurship	2	0	2
GE-304	Pakistan Studies	2	0	2
	Total	14	4	18

Semester 7 (contact hours: 26)

Code	Course title	Theory	Lab	Credit hours
RA-401	Robot Operating System	2	1	3
RA-402	Mechatronics System Design	2	1	3
EL-401	Elective-II	2	1	3
GE-401	Professional Practices	2	0	2
RA-403	Final Year Project-I	0	3	3
	Total	8	6	14

Semester 8 (contact hours: 26)

Code	Course title	Theory	Lab	Credit hours
RA-404	Mobile Robotics	2	1	3
EL-402	Elective-III	2	1	3
EL-403	Elective-IV	2	1	3
GE-402	Civics and Community Engagement	2	0	2
RA-405	Final Year Project-II	0	3	3
	Total	8	6	14

Elective basket

Students choose four electives (12 credit hours) from the following 26 courses, each carrying 2 theory and 1 lab credit hour.

Elective courses

No.	Course	No.	Course
1	Power Electronics	14	Smart Agriculture Robotics
2	Edge AI and AIoT	15	Healthcare Robotics
3	Digital Signal Processing	16	Cloud Robotics
4	Deep Learning	17	Humanoid Robotics
5	Intelligent Systems	18	SLAM and Robot Navigation
6	Advanced Control Systems	19	Medical and Assistive Robotics
7	Industry 4.0	20	Digital System Design
8	Reinforcement Learning	21	Human-Robot Interaction
9	Autonomous Vehicles and Drones	22	Robot Manipulation
10	Swarm Robotics	23	Wireless and Mobile Communications
11	Smart Manufacturing Systems	24	Soft Robotics
12	Digital Twin Technologies	25	AI Forensic Analysis
13	Intelligent Transportation Systems	26	AI for Healthcare

4. Program Educational Objectives

The PEOs describe the expected professional achievements of graduates a few years after graduation.

PEO	Statement
PEO-1	Demonstrate growth in careers related to robotics, artificial intelligence, automation, and intelligent systems through strong knowledge and practical skills.
PEO-2	Collaborate and communicate effectively to solve real-world problems through robotics and AI-based solutions.
PEO-3	Maintain professional integrity and commitment to social, ethical, safe, and responsible use of robotics and AI systems.
PEO-4	Engage in continuous learning, innovation, and entrepreneurship in emerging robotics and artificial intelligence domains.

5. Program Learning Outcomes

PLO	Title	Description
PLO-1	Knowledge	An ability to apply knowledge of mathematics, natural sciences, computing, robotics, artificial intelligence, and related specialization areas to solve defined and applied problems.
PLO-2	Problem Analysis	An ability to identify, formulate, research literature, and analyze broadly defined problems in robotics and artificial intelligence using appropriate analytical tools, data, and domain knowledge.
PLO-3	Design and Development of Solutions	An ability to design solutions for broadly defined robotics and artificial intelligence problems that help develop systems, components, processes, or applications while considering public health, safety, cultural, societal, and environmental requirements.
PLO-4	Investigation	An ability to investigate broadly defined robotics and artificial intelligence problems by locating, searching, selecting, and interpreting relevant data, literature, standards, experiments, and system evidence to reach valid conclusions.
PLO-5	Modern Tool Usage	An ability to select and apply appropriate techniques, resources, modern computing tools, robotics platforms, AI tools, simulation environments, embedded systems, and IT tools to broadly defined problems, with awareness of their limitations.
PLO-6	The Graduate and Society	An ability to understand societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to robotics and artificial intelligence applications.
PLO-7	Ethics	Understand and commit to professional ethics, responsible AI principles, safety, privacy, fairness, accountability, and accepted norms of professional practice.
PLO-8	Individual and Collaborative Teamwork	An ability to function effectively as an individual and as a member or leader in diverse and multidisciplinary teams.
PLO-9	Communication	An ability to communicate effectively on broadly defined robotics and artificial intelligence activities with professionals and society at large by writing effective reports and design documents, making effective presentations, and giving and receiving clear instructions.
PLO-10	Project Management and Finance	An ability to demonstrate knowledge and understanding of project management and basic financial principles and apply these to manage robotics and AI projects as a member or leader in multidisciplinary environments.
PLO-11	Lifelong Learning	An ability to recognize the need for, and engage in, independent and lifelong learning in robotics, artificial intelligence, and related emerging technologies.

Eligibility, duration, credit hours and award of degree follow applicable HEC and UET Taxila rules.

Eligibility

Duration and credit hours

Proposed student intake

The proposed initial intake is 100 students per year, with gradual increase over the years, subject to approval by the competent statutory bodies of the university.

Award of degree

The degree is awarded after successful completion of the prescribed credit hours, the required theory and laboratory courses, the elective courses, the Final Year Project, outcome-based assessment, and the minimum CGPA and other requirements prescribed by HEC and UET Taxila.

Graduates can work in robotics, AI startups, software houses, embedded systems, manufacturing, automation, automotive systems, drones, healthcare and agriculture technology, defense technology, smart infrastructure, transportation, logistics, education technology, research and development, and public-sector digital transformation. Typical roles include: