Michael Linderman

This AI course with Professor Linderman is fast-paced, covering mostly classical topics like CSP, Markov, and Bayes. Neural networks and reinforcement learning were covered very late in the course, and very briefly. There were two? midterms on paper, in which understanding course material did not quite mean success. Perhaps as a consequence, grading was easy though. The final project could have started earlier, but then again the more useful concepts did not come up until later in the course.

This AI course with Professor Linderman is fast-paced, covering mostly classical topics like CSP, Markov, and Bayes. Neural networks and reinforcement learning were covered very late in the course, and very briefly. There were two? midterms on paper, in which understanding course material did not quite mean success. Perhaps as a cons …Read more

Awesome course, everyone should take it as a Computer Science major. Extremely helpful for post-grad. Tough workload - huge programming assignments and a large group project in the second half of the semester. But very rewarding.

Professor Linderman was awesome. I had taken computer science in high school, so the material was not very difficult, but I still learned a lot and enjoyed the class. The weekly projects were a great way to get practice with coding and his live coding based lectures really helped with learning Python.