Programs MS AI & Autonomous Systems

MS AI & Autonomous Systems

Course Curriculum

Core Courses
No Code Title Credit Hours Related SDG Pre Requisite Contents
1 SE-807 Machine Learning 3+0 3,4,9,11
2 CS-878 Deep Learning 3+0 3,9,11
3 EE-978 Convex Optimization 3+0 9
4 AIAS-800 Visual Navigation for Autonomous Vehicles 3+0
5 AIAS-899 MS Thesis 6+0
Elective Courses
No Code Title Credit Hours Related SDG Pre Requisite Contents
1 EE-985 Graphical Models for Autonomous System 3
2 CS-867 Computer Vision 3+0 3,9
3 CS-860 Artificial Intelligence 3+0 9
4 EE-821 Advanced Embedded System Design 3+0 8,9,12
5 EE-832 Pattern Recognition 3+0 9
6 EE-871 Linear Control Systems 3+0 3,4,9
7 EE-877 Mobile Robotics 3+0 4,9
8 EE-891 Stochastic Systems 3+0 4,9
9 SE-801 Artificial Neural Network 3+0 3,9
10 SE-865 Human Computer Interface 3+0 3,9,11
11 SE-898 Research Methodologies 3+0 4,9
12 SYSE-804 Modeling, Simulation & Optimization 3+0 4,7,8,9
13 CSE-865 3D Geometric Modeling and Reconstruction 3+0 4, 8
14 MATH-816 Applied Linear Algebra 3+0 4,9,11
15 EE-837 Advanced Topics in Computer Vision & Image Processing 3+0 9
16 AI-832 Reinforcement Learning 3+0 3,4,9,11
17 EE-970 Advanced Robotics 3+0 4,9
18 CS-875 Natural Language Processing 3+0 3,4,9,11
19 EE-876 Probabilistic Robotics 3 9
20 AIAS-811 Entrepreneurship: Theory and Practice 3+0
21 AIAS-812 Sensors and Signals 3+0
Additional Courses
No Code Title Credit Hours Related SDG Pre Requisite Contents
1 SEM/WKSP-897 Seminar / Workshop 1+0 4,5,9,11,16,17