Excellent course, but there were some errors that have been discussed in the forum but not yet integrated into lectures.

Interesting course material, but there were way too many mistakes in the exercise files. I felt we reached a low point when the only way to pass the assignments was to figure out what the instructor did wrong in the assignments, recreate those problems in my files, and then answer the questions "correctly" with the incorrect data. Really bad.

Confusing explanations referring to other explanations in other courses (so that, it is not self-contained).

Alpha, Beta model not well explained... too theoretical.

IMHO, the worst within the specialization.

Material was fantastic. Generally informative, and clear, however the quizs and projects, were often unintuitive, unclear, and at times, simply had the wrong answers. Very frustrating.

A lot of errors in quizzes and lecture material which are not corrected in timely fashion.

Errors in support materials abound. Solutions to practice quizzes are incomplete. No response from course staff to address mistakes. It is disappointing to have taken the first three courses in this sequence and to run into such sloppiness in this one. Impossible to build upon what one has already learned.

The subject matter for this course is very, very interesting! The professor does a nice job of layering the complexity from basic concepts to more advanced concepts. However, this is where the "good news" ends. The course is full of all sorts of calculation errors on the graded quizes

Graded quiz two is badly designed. Very hard to follow. The course materials do not explain how to calculate these measurements clearly at all.

Strongly not recommend this course.

Way too many errors in the graded assignment. Non-reponsive teaching assistants.

So many errors in quizzes and solutions. Waste of time.