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School of Electrical Engineering & Computer Science
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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
IN THE MASTER PROGRAM
Course Curriculum
OTHER PROGRAMS
MS INFORMATION TECHNOLOGY
MS COMPUTER SCIENCE
MS INNOVATIVE TECHNOLOGIES IN LEARNING
MS ELECTRICAL ENGINEERING
MS INFORMATION SECURITY
MS DATA SCIENCE
MS ARTIFICIAL INTELLIGENCE
MS AI & Autonomous Systems