Some interesting knowledges about PCM, but I think I need more detailed information in the succeeding courses.

Good course, quite complex, wish some better quality slides, and more quizzes to help understand the theory

The coding assignments can be compulsory too.

Maybe not as vast, but maybe interleaved with the quizzes

Very good course. It should contain more practical examples to make the material better to understand.

Great course, however, the honors track assignments are a bit too tedious and take lots of time.

The course is pretty good. I love the way that the professor led us into the graphical models.

great job, although the last PA is a huge pain / difficulty spike - more hints would be nice

There are many error in the implementations for octave. Aside from that, the course is fine

Covers some material a little too quickly, but overall a good and entertaining course.

A bit more challenging than I thought but very useful, and very well structured

Great and well paced content.

Quizzes really helps nailing the tricky points.

Instructor is engaging in her delivery. Topic is interesting but difficult.

Honors seems like a must to full instill concepts/implementation

I would recommend adding some supplemental reading material.

Rich content and useful tools for applying in real problems

Please, provide programming assignments on Python or C++

Theory: Very interesting. Assignments: not so useful.

Five stars minus the week 4 coding homework

More feedback from TA would be appreciated

Writing on the ppt is not clear to see.

lectures are too fast otherwise great

Broad introduction to general issues

Lack of top-down review of the PGM.

Great intro to probabilistic models

Excellent