Meeting Time: 16:50 -18:05 Tuesday, Thursday
Meeting Place: CSB601
Prof. Chris Brown
TA: Paul Ilardi
Text: Required: Mobile Robotics by Jones and Flynn, Getting Started in Electronics, by Mimms. A collection of notes and UR Technical Report no. 588 (bound together) should be purchased by each group from Peg Meeker for $10. There is a good recommended text (My recommendation is that each group may want to buy one, at least); Computational Principles of Mobile Robotics by Dudek and Jenkin. You may want to get various reference books (UNIX, LateX, MatLab, etc.) personally or self-organize with your group or the class to buy common ones.
TR Editor: [Your Name Here]
Web Page: [Your Name Here]
Hardware Wrangler: [Your Name Here]
Office Hours: With the TA and Prof: By appointment.
Exams: Probably two: one on electrical circuits, one on linear systems.
Homework: A few assignments on basic circuits, linear systems theory, history of robotics, whatever seems relevant and useful to our future lives as roboteers.
Grading: Some grades are individual, some are group. The current proposal follows.
Plagiarism: This concept often will not apply. However, if individual effort is requested then sharing or copying answers is forbidden. Here is the relevant part of UR's Academic Honesty Policy .
Reserve Reading: Books, papers, and previous work by 290 students are on reserve.
Pedagogical Methodology: This is mainly a project course. We will have readings, exercises, programming, building, and writing motivated by the material we encounter and the subjects we want to learn. Along the way we must learn various fundamentals of electronics, mathematics, algorithms, sensor technology, etc. The ``instructor'' will largely be an organizer, facilitator, guru, and finally the judge and jury as regards performance. Most work will be carried out in teams, but within that structure there should be adequate opportunity to demonstrate individual initiative and achievement. I should like to minimize traditional lectures. Rather, together we shall try to evolve methods for learning that distribute the responsibility and assure the relevance of topics.
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Last update: 21.6.00.