Phil Chodrow

This course was well-set up and crafted. Lectures are a mix of theory at the board, and then applying what you learned in class-wide live coding sessions. The content is challenging but very doable: 3 HWs, 3 Miniproject, 1 Midterm, 3 quizzes, and 1 final project. The quizzes are essentially reviews of lecture notes, and the midterm incorporates HW and quizzes problems. Super cool class definitely recommend.

This course was well-set up and crafted. Lectures are a mix of theory at the board, and then applying what you learned in class-wide live coding sessions. The content is challenging but very doable: 3 HWs, 3 Miniproject, 1 Midterm, 3 quizzes, and 1 final project. The quizzes are essentially reviews of lecture notes, and the midterm i …Read more

Phil is a great professor and is clearly enthusiastic about the material. Class consisted of 3 problem sets, 3 mini projects, one midterm, 3 quizzes, and a final project. The deadline system was flexible and allowed for revisions, and exams were not too challenging. It was cool to learn how to use and implement machine learning algorithms on real data.

Professor Chowdrow teaches with a flipped classroom, which does not work for everyone. There are 10 minimum learning targets to pass and 4 opportunities to get those 10. The class is very hard but Professor Chowdrow is fair on grading.