BS Robotics & Intelligent Systems

The Bachelor of Science in Robotics and Intelligent Systems degree aims to equip students with the knowledge and skills needed to design, develop, and implement intelligent robotic systems and machines. The program is designed to provide a comprehensive understanding of the fundamentals of robotics, machine learning, artificial intelligence, computer vision, and control systems. Students will also gain practical experience in building and programming robots, and designing intelligent systems that can interact with the physical world. Upon completion of the program, graduates will be able to work in a variety of industries, including manufacturing, healthcare, transportation, and entertainment, as well as pursue advanced degrees in robotics and related fields. The degree’s ultimate objective is to produce professionals capable of advancing the field of robotics and intelligent systems.The program will take advantage of our strong resources in electrical engineering, and mechanical engineering.

Outline

Road Map

Semester 1

  • S. No Course Code Course Name C .Hrs.
  • 1RCS 101Fundamental of Programming3
  • 2RCS 102Fundamental of Programming Lab1
  • 3RME 101Engineering Mechanics – I3
  • 4RMT 101Math I3
  • 5ENG 101English I3
  • 6RME 100Computer-Aided Design1
  • 7ENT 101Fundamentals of Entrepreneurship1

Semester 2

  • S. No Course Code Course Name C .Hrs.
  • 1RCS 111Object Oriented Programming3
  • 2RCS 112Object Oriented Programming Lab1
  • 3REE 101Basic Electrical Engineering3
  • 4REE 102Basic Electrical Engineering Lab1
  • 5RMT 111Math II 3
  • 6RME 102Engineering Mechanics – II3
  • 7ENG 102English II3
  • 8PAK 101Pakistan Studies2

Semester 3

  • S. No Course Code Course Name C .Hrs.
  • 1RCS 221Data Structures & Algorithms3
  • 2RCS 222Data Structures & Algorithms Lab1
  • 3REE 201Electronics I3
  • 4REE 202Electronics I Lab1
  • 5REE 211Electrical Machines3
  • 6REE 212Electrical Machines Lab1
  • 7ISL 201Islamic Studies/Ethics2
  • 8RMT 221Math III 3

Semester 4

  • S. No Course Code Course Name C .Hrs.
  • 1REE 213Introduction to Robotics3
  • 2REE 214Introduction to Robotics Lab1
  • 3REE 221Digital Logic Design3
  • 4REE 222Digital Logic Design Lab1
  • 5RMT 231Probability and Random Processes3
  • 6ENG 203English III3
  • 7REE 223Sensors & Transducers3

Semester 5

  • S. No Course Code Course Name C .Hrs.
  • 1RCS 331Operating Systems3
  • 2RCS 332Operating Systems Lab1
  • 3REE 331Electronics II3
  • 4REE 332Electronics II Lab1
  • 5RMT 331Numerical Computing3
  • 6RME 321Actuators3
  • 7RME 322Actuators Lab1
  • 8CLB 301Career Lab1

Semester 6

  • S. No Course Code Course Name C .Hrs.
  • 1REE 351Feedback Control System3
  • 2REE 352Feedback Control System Lab1
  • 3REE 341Embedded Systems3
  • 4REE 342Embedded Systems Lab1
  • 5RME 331Robotics Machine Design3
  • 6RMG 301Engineering Economics3
  • 7REE 332Robotics Design Lab – III1
  • 8REE 300Industrial Internship0

Semester 7

  • S. No Course Code Course Name C .Hrs.
  • 1REE 401Final Year Project - I2
  • 2REE 4xxElective – II3
  • 3REE 4xxElective – II Lab1
  • 4REE 461Adaptive Control3
  • 5REE 451Artificial Intelligence3
  • 6REE 442Robotics Design Lab – III1
  • 7REE 4xxElective – III3

Semester 8

  • S. No Course Code Course Name C .Hrs.
  • 1REE 412Final Year Project - II4
  • 2REE 4xxElective – IV3
  • 3REE 4xxElective – IV Lab1
  • 4REE 4xxElective - V3
  • 5REE 4xxElective – V Lab1
  • 6REE 4xxElective VI3

Total Credit Hours: 130

List of Electives

  • Digital Image Processing
  • Computer Communication and
    Networks
  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Industrial Process Control
  • Non-Linear Control Systems
  • Medical Robotics
  • Fluid Dynamics
  • Industrial Robotics
  • Industry 4.0
  • Space Robotics
  • Autonomous Systems
  • Multi Agent Systems
  • Artificial Intelligence and Robotics
  • E-commerce
  • Fuzzy Logic
  • Wireless Communication
  • Introduction to Metaverse
  • Special Topics in Robotics
  • Graph Theory
  • Integer Linear Programming
  • Human-Robot Interaction
  • Robot Planning and Control
  • Internet of Things

Admission Criteria

At least 50% marks in F.Sc. Pre-Engineering/ICS (all combinations)/3 years Diploma recognized by PBTE (related to Electrical, Mechanical or CS/IT), A-levels or an equivalent qualification.

Career Prospects

  1. Software-Industry
  2. Hardware-Software co-design industry
  3. Machine learning and artificial intelligence sector
  4. Robotics
  5. Control and Automation
  6. Research Scientist
  7. Postgraduation

Prospects

Fee Structure

BS Robotics & Intelligent Systems

  • Sr. No. COURSE NAME ADMISSION FEE FEE PER CREDIT HOUR Total No. Of Credit Hours Total Fee
  • 1BS Robotics & Intelligent Systems25,0008,00013511,05,000

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