Recognizes autonomous system applications and has preliminary information about advanced applications.
Mode of Delivery
Face to face
Prerequisites
No
Recommended Optional Programme Components
None
Course Description
To teach the basic components of autonomous systems, modeling methods, driving techniques and sensor technologies, path planning, localization, mapping and autonomous navigation simulations. It covers general information about autonomous systems and their basic components, modeling, driving techniques, sensor technologies, path planning, localization, mapping, autonomous navigation, autonomous system modeling and simulation applications.
Course Contents
WEEK
TOPICS
1st Week
Basic electrical and electronics
2nd Week
Basic electrical and electronics
3rd Week
Basic electrical and electronics
4th Week
Introduction to embedded systems
5th Week
Basic concepts of autonomous systems and system architectures
6th Week
Autonomous vehicles and driving techniques
7th Week
Sensor and actuator technologies in autonomous systems
8th Week
Midterm exam
9th Week
Robot Systems and Modeling
10th Week
Navigation Methods
11th Week
Mapping Systems and Methods
12th Week
Path Planning Algorithms
13th Week
Positioning and Localization
14th Week
Current Autonomous System Applications
Recommended or Required Reading
***If you feel the need for academic accommodations due to your disability, please contact the instructor of the course.
Planned Learning Activities and Teaching Methods
Lecture
Questions/Answers
Problem Solving
Practice
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
40
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
