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Details & Semester Outlines for BS Autonomous Systems & Artificial Intelligence

Vision Statement:

To be a leading educational program in Autonomous Systems & Artificial Intelligence, emphasizing on practical experience and strong industry collaborations that foster innovation and prepare graduates to provide innovative solutions to real-world problems.

Mission Statement:

Our goal is to prepare graduates with the knowledge, skills, and ethical foundation necessary for successful careers in Autonomous Systems & Artificial Intelligence. We aim to equip them with innovation and critical thinking, leading them to become effective leaders and responsible citizens who contribute positively to their communities and the global society.

Bachelor of Science (Autonomous Systems & Artificial Intelligence):

SZABIST offers a four-year (eight semesters) BS (Autonomous Systems & Artificial Intelligence) degree program. This program is essentially a day-time program and consists of 52 courses with a total of 137 credit hours (all electives and certain courses may be offered in the evening). The program is supported through well-equipped state-of-the-art laboratories. Internship opportunities are provided which is essential as a part of degree requirement. The maximum time limit to complete the BSASAI degree program is six years.

Program Educational Objectives (PEOs)
Upon completion of their degree:

PEO 1 Competent Autonomous System Expert: Graduates will possess the technical expertise necessary to design and develop Autonomous Systems, and integrate Artificial Intelligence within these systems across various applications, effectively addressing real-world challenges in industries.

PEO 2 Ethical and Innovative Leaders: Graduates will demonstrate strong ethical standards and leadership qualities, fostering an entrepreneurial mindset that encourages innovation and collaboration within multidisciplinary teams.

PEO 3 Lifelong Learners and Researchers: Graduates will engage in continuous learning and research, contributing to advancements in Autonomous Systems and Artificial Intelligence while adapting to emerging technologies and trends in the field.

Program Learning Outcomes (PLOs)


Program learning outcomes for BS Autonomous Systems & Artificial Intelligence are as follows:

  • Engineering Knowledge
  • Problem Analysis
  • Design/Development of Solutions
  • Investigation
  • Modern Tool Usage
  • The Engineer and the World
  • Ethics
  • Individual and Collaborative Teamwork
  • Communication
  • Project Management and Finance
  • Lifelong Learning

BS (Autonomous Systems & Artificial Intelligence) Roadmap

First Year

Fall Semester

  1. ASAI1101 Communication & Presentation Skills   (3, 0)
  2. ASAI1102 Circuit Analysis  (2, 1)
  3. ASAI1103 Computer Aided Design  (1, 1)
  4. ASAI1104 Calculus & Analytical Geometry  (3, 0)
  5. ASAI1105 Islamic Studies / ASAI1106 Humanities  (2, 0)
  6. ASAI1107  Introduction to Autonomous Systems  (2, 1)
  7. ASAI1108  ICT & Programming Fundamentals  (1, 1)

Spring Semester

  1. ASAI1201  Basic Electronics  (3, 1)
  2. ASAI1202  Probability & Statistics   (2, 0)
  3. ASAI1203 Pakistan Studies  (2, 0)
  4. ASAI1204  Mechanics I – Statics  (3, 0)
  5. ASAI1205  Workshop Practice  (0, 1)
  6. ASAI1206 Community Service  (1, 1)
  7. ASAI1207 Data Structures & Object Oriented Programming  (1, 1)
  8. ASAI1208 Occupational Health and Safety  (1, 0)

Second Year

Fall Semester

  1. ASAI2301  Ideology and Constitution of Pakistan  (2, 0)
  2. ASAI2302 Digital Logic Design   (2, 1)
  3. ASAI2303 Mechanics II – Dynamics  (2, 0)
  4. ASAI2304 Ordinary Differential Equations & Linear Algebra   (3, 0)
  5. ASAI2305 Sensors and Measurement Techniques  (3, 1)
  6. ASAI2306 Introduction to Artificial Intelligence  (3, 0)

Spring Semester

  1. ASAI2401  Programming for Artificial Intelligence  (2, 1)
  2. ASAI2402 Actuating Systems  (3, 1)
  3. ASAI2403  3D Geometry & Vector Calculus   (3, 0)
  4. ASAI2404  Strength of Materials  (2, 1)
  5. ASAI2405  Drone Mechanics & Aerodynamics  (3, 0)
  6. ASAI2406 Solid Modeling  (0, 1)

Third Year

Fall Semester

  1. ASAI3501  Transformation Techniques  (3, 0)
  2. ASAI3502 Computer Vision   (3, 0)
  3. ASAI3503 Machine Learning  (2, 1)
  4. ASAI3504  Microcontroller Programming and Interfacing  (2, 1)
  5. ASAI3505  Robotics   (3, 1)
  6. ASAI3xxx  Social Sciences Elective   (2, 0)

Spring Semester

  1. ASAI3601 Control Systems  (3, 1)
  2. ASAI3602 Numerical Methods  (2, 0)
  3. ASAI3603 Introduction to Internet of Things (IoT)  (2, 1)
  4. ASAI4xxx  ASAI Elective – I  (3, 0)
  5. ASAI3604  Autonomous System Design  (2, 1)
  6. ASAI3605  ROS & Robot Programming  (1, 1)

Fourth Year

Fall Semester

  1. ASAI4xxx  ASAI Elective – II  (3, 0)
  2. ASAI4701 Technopreneurship  (2, 0)
  3. ASAI4702  Wireless Communication and Networking  (3, 0)
  4. ASAI4703 Technical Writing Skills  (3, 0)
  5. ASAI4704  Final Design Project – I *  (0, 3)
  6. ASAI4705  Finite Element Analysis  (0, 1)
  7. ASAI4xxx Arts and Humanities Elective  (2, 0)

Spring Semester

  1. ASAI4801  Manufacturing Automation   (2, 1)
  2. ASAI4xxx  ASAI Elective – III   (3, 0)
  3. ASAI4802 Project Management   (3, 0)
  4. ASAI4803  Final Design Project – II   (0, 3)
  5. ASAI4804 Ethics in Autonomous Systems and Artificial Intelligence  (2, 0)
  6. ASAI4805 Teachings of Holy Quran  (2, 0) (Exempted for Non-Muslim Students)

To be continued and graded at the end of 8th Semester.*

Electives

ASAI Electives

  1. ASAI4806 Autonomous Navigation and Path Planning
  2. ASAI4807 Cloud Computing for Autonomous Systems
  3. ASAI4808 Machine Vision & Robotics 
  4. ASAI4809 Advanced Robotics  
  5. ASAI4810 Computer Integrated Manufacturing  
  6. ASAI4811 Mobile Robotics 
  7. ASAI4812 Introduction to Humanoid Robots 
  8. ASAI4813 Swarm Robotics 
  9. ASAI4814 Human-Robot Interaction 
  10. ASAI4815 Modeling and Simulation  
  11. ASAI4816 Digital Control Systems  
  12. ASAI4817 Sensor and Sensing Technologies   
  13. ASAI4818 IoT and Sensors Networks 
  14. ASAI4819 Data Analytics for IoT 
  15. ASAI4820 Introduction to Data Science  
  16. ASAI4821 Deep Learning 
  17. ASAI4822 Knowledge Based Systems  
  18. ASAI4823 Natural Language Processing  

Social Science Electives

  1. ASAI3506 Engineering Economics 
  2. ASAI3507 Engineering Management   
  3. ASAI3508 Organizational Behavior 
  4. ASAI3509 Leadership and Motivation Techniques 

Arts and Humanities Electives

  1. ASAI4706 History 
  2. ASAI4707 Philosophy 
  3. ASAI4708 Foreign Languages 

Elective courses are offered subject to the availability of the required expertise and resources.

Full-time academic load during first semester is 7 courses. All students are required to register the full load in the first semester. An additional remedial course on Mathematics (for 1 Credit hour) will be required to be taken by students who have not taken mathematics during their Intermediate/A-Level/Equivalent exams.

Internship

The internship is scheduled for summer at the end of third year. After completion of the 6 to 8 weeks internship, students are required to submit a comprehensive report giving details of their experience and learning.

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