Very little explanations on quite complex matter (especially on branching bisimulation). References to the book are helpful except that sometimes it has different definitions. For example the books definition of the language is the set of non-extendable traces while the lector treats it as the set of terminated traces. The description of alternating bit protocol is absolutely beyond my understanding. Though its rather simple and well described in wikipedia.

Content is very unique and nice, but delivery is quite poor. The instructor is murmuring almost every word, and pronunciation is unclear, so that I had to just read the subtitle instead of actually listening to the lecture. It was just too painful for me that I am now hesitating whether I should continue to the next part or not...

A little coarse course.

This course is incredibly information dense in lectures, and very light on examples and why and how to apply what you've learned:

First: there are no problem sets and very few examples, making it hard to explore the topics discussed in the lecture. I'm not the best listener, so maybe everything is clear and I'm missing it, but doing is the way I learn best. Also, I can find almost no reference to this topic anywhere else which is a little unusual

Second: the lectures don't motivate the topic in any practical way. Even the 'alternating bit' protocol lecture was just discussing the solution to the problem itself. Having watched all the lectures I still don't know what I would use any of this topic for. Also couldn't get the 'alternating bit protocol' software to work, just crashed on my osx laptop.

I would love to do a class on system validation, Coq, TLA+, etc. are all interesting topics to me, I just want a class that helps me do those things.

Very nice course to learn about behavioural equivalance. Sometimes it was kinda hard to keep track of the different types of bisimulation. A 5 min recap/summarization video about weak/strong/branching/rooted/divergence bisimulation would have made it perfect for me.

Very interesting and a good fine-tuning experience to my brain relating to systems! Awesome!

Although superficial, it is a very good MOOC for introducing LTS testing.

I've learn more thing's in this course..., thank you Coursera :) :) :)

Thanks! Very well done for an introductory course.

Very helpful for me to learn about the automata

Very helpful! Thank you very much!

Useful introduction.

Very Good Subject

Useful knowledge

thx a lot prof.

very helpful

Very nice!

I really like the subject of the course. The presentation was really good. However, some of the concepts were not so easy to understand. The course does not provide any reading, so I had to watch the lectures again if I forget some of the details. Eventually I've started taking detailed notes and added screenshots to my notebook. I wish I could have more exercises just for practice that would not be graded. That would provide a safe env. to learn and practice before taking final tests. Some of the answers to exercises were very helpful to learn the concepts better. So, more such practical exercises would be helpful.

I have appreciated the pedagogic presentation. Some concepts, quite well introduced by examples, would have deserved to have their formal definitions presented.

A very good introduction for model checking. I had some knownledge and it was very good refresh.

It will be better if these materials could be summarized into a table at the end of the course.

good, some parts is not clear enough. Better learn with the recommend textbook

Course is mostly theoretical. So far it's difficult to say anything about its practical implications and usefulness. It's my first course on Coursera, so I can't compare. But I think sometimes it lacks a bit clarity, especially considering lecturer's English and bad quality of subtitles which sometimes do not match real lecturer's words. Anyway it was interesting and now I'm really intrigued about how I can apply this new knowledge to real everyday development tasks. Most probably I will try following courses in the specialization. Thanks a lot to authors!

I liked the course and the topic, I suggest to improve adding more practical automata modelling in mCRL2. The current approach is a little bit discouraging because requires a lot of manual effort especially because there are multiple choices per exercise and you get zero % if you miss one.

Course gives a very abstract and basic idea.It fails to explain the relations with practical examples.