Spring 2021 - CMPT 419 D200
Special Topics in Artificial Intelligence (3)
Class Number: 6886
Delivery Method: Remote
Overview
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Course Times + Location:
Jan 11 – Apr 16, 2021: Mon, 2:30–4:20 p.m.
BurnabyJan 11 – Apr 16, 2021: Wed, 2:30–3:20 p.m.
Burnaby -
Exam Times + Location:
Apr 28, 2021
Wed, 3:30–6:30 p.m.
Burnaby
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Instructor:
Mo Chen
mochen@sfu.ca
1 778 782-7198
Description
CALENDAR DESCRIPTION:
Current topics in artificial intelligence depending on faculty and student interest.
COURSE DETAILS:
This course introduces fundamental concepts in robotics and related fields, including analytical methods for decision making, and machine learning in the context of robotics. Topics include modelling and simulation of robotic systems, optimization, optimal control, robotic safety, reinforcement learning, and robotic perception. Applications of the material include unmanned aerial vehicles and self-driving cars.
Topics
- Modelling and simulation
- Optimization
- Optimal control
- Robotic safety
- Reinforcement learning
- Robotic perception
Grading
NOTES:
Assignments – 40% Project proposal – 10% Project presentation and report – 50%
Materials
RECOMMENDED READING:
Introduction to Autonomous Mobile Robots,
R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, MIT Press
ISBN: 9780262015356
Planning Algorithms
S. M. LaValle, Cambridge University Press
ISBN: 9780521862059
Convex Optimization
S. Boyd and L. Vandenberghe, Cambridge
ISBN: 9780521833783
Dynamic Programming and Optimal Control
D. P. Bertsekas, Athena Scientific
ISBN: 9781886529434
Reinforcement Learning: An Introduction
R. S. Sutton and A. G. Barto, MIT,
ISBN: 9780262039246
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
TEACHING AT SFU IN SPRING 2021
Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.
Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).