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Discussion:

Canvas: https://canvas.uw.edu/courses/1716679

Please access Zoom class lectures and recordings via Canvas.

Discussion board: https://edstem.org/us/courses/77929/discussion

Use this board to discuss the content of the course. Feel free to discuss homeworks, projects, and any confusion over topics discussed in class. It is also acceptable to ask for clarifications about the statement of homework problems, but not about their solutions.

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Textbook:

There is no required textbook for the class. Many of the lectures and homework assignments will have associated papers and chapters from:

Probabilistic Robotics, S. Thrun, W. Burgard, and D. Fox., MIT Press, Cambridge, MA, September 2005.

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Homeworks:

There will be 3 homeworks with programming components done in Python.

• Assignment #1, due Tuesday, April 22th, 11:59PM
• Assignment #2, due Comming Soon
• Assignment #3, due Comming Soon

Homework late policy: You can accumulate 6 late days without incurring a penalty. Each day beyond that will incur a 20% penalty on that assignment. No late days on the 3rd assignment.

While we encourage students to discuss homeworks, each student must write up their own solution. It's fine to use a source for generic algorithms (with attribution), but it is not allowed to copy solutions to the problems. Additionally, students may not post their code online. If we determine that a student posted their code online, they will get an automatic 50% reduction on the entire assignment (math + code) and if they copy code for the problems from another student or from online, they will get an automatic 0% for the entire assignment (and possibly reported to the college).

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Projects:

TO DO:
Please respond to the team matching Ed thread no later than this Sunday (04/18). If you do not respond by the deadline, you will be automatically registered as working individually for the final project.
The projects will be done in teams of 2-3 people and will account for 45% of your grade. Project can be investigating any question related to robotics. We encourage ideas from your own research. Make sure your problem is well-defined with clear objectives.
More details can be fund in this document. Deliverables include a proposal, a midterm milestone and a final report. Projects will be presented in a poster session at the end of the quarter.

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Grading:

You will submit your assignments (both writeups and code) to canvas. You have all been enrolled into the class. Please check your email.

• Homeworks 45% (15%, 15%, 15%)
• Final Project (45%)
• Attendance & Short QA for reading session (5% each)
• Participants (5% Bonus)

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Anonymous Feedback:

Please send your feedback via https://feedback.cs.washington.edu/

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Course Outline