Intended primarily for graduate students interested in (1) the use of neural networks for control, optimization, and machine learning and (2) the use of systems theory to model the dynamics and functionality of neural circuits. Contains an overview of recent research literature and involves a final project to be selected among a number of recent developments in this area.
3
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeBullo really cares about his students understanding the material. He is very precise with his language. Gives class a break in the middle of lecture. This particular class was kind of watered down so it was pretty easy. The only challenging part was the Bug 1 project, but it was really fun to do. Tests felt like short answer on basic concepts.
Posts lecture notes but still very helpful to go to lecture. Motion planning portion of class was fun and straight forward. Second half of class gets a little confusing. I thought both the midterm and final were what I expected. Homework was fairly challenging so start early in case you get stuck and need help on the written portion or MATLAB part.
Very personable and considerate. Lectures can be confusing at times.Homework can be tough but graded fair. Midterm was hard (to me at least), final was much easier. Ended up with an A (the closest thing to a miracle). The class itself is interesting but completely useless unless you're thinking about graduate school in robotics.
Really nice guy BUT really hard teacher. His lectures are hard to follow and he seems to have a hard time following them himself. Tests are ridiculous
Great professor. Awesome Lecturer. Very approachable.
Brings mathematical sophistication to the table not usually seen in engineering. Loses touch with what students understand and gets frustrated himself. Spends first 20 min of each lecture going over previous days material. Tests are pretty easy and homework was much easier w/o matlab assignments. Nice guy with a million mile per hour mentality.