This was a great introductory course for satisfiability. I strongly recommend you to solve all the honorary problems because they were so useful for thorough understanding.

The course explains the fundamental concepts very clearly. It is very helpful to understand the basic concepts of SMT solvers

Excellent Course. Concise and to the point. Well chosen examples.

I had no background in the topic, but it is quite math-heavy. I am okay with it.

The highlight of the course (and my main takeaway) is the theorem prover z3 from Microsoft. Unfortunately, the Python API of this prover was not discussed. I would have liked to see some examples explicitely coded.

The discussion of the simplex algorithm is well done.

I would have liked the details of constraint learning. Unfortunately, this topic was only treated superficially.

I found it really annoying that some parts of the slides were only visible for a few seconds before Prof. Zantema switched to the next slide. This should really be fixed and is the reason I rated this course with only 3 stars instead of 4.

The course is very good. You can learn a lot. The only downsido is that the questions on some quizzes are not very clear. Like how do you cont the number of steps required to end a DPLL prove etc.

The course is a great introduction to satisfiability problem and its wide range of applications in day to day life. Honors assignments really helped me understand the core concepts better.

This course really opened my mind on the possibilities that can be achieved with the SMT solver. Great course!!!

More programming problems (probably on the later half) would be really interesting and helpful

A great introduction for absolute beginners in this topic!

Nice Introduction to SAT, SMT.

It was educational

Good course, but some quizes are a bit confusing :)

Thank you very much professor.

This course can deploy in real life.