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Вернуться к System Validation: Automata and behavioural equivalences

Отзывы учащихся о курсе System Validation: Automata and behavioural equivalences от партнера EIT Digital

Оценки: 117
Рецензии: 36

О курсе

Have you ever experienced software systems failing? Websites crash, calendar not synchronising, or even a power blackout. Of course you have! But did you know that many of these errors are the result of communication errors either within a system or between systems? Depending on the system, the impact of software failures can be huge, even resulting in massive economic damage or loss of lives. Software, and in particular the communication between software-intensive systems, is very complex and very difficult to get right. However, we _need_ dependability in the systems we use, directly or indirectly, to support us in our everyday lives. System Validation helps you to design embedded system behaviour that is structurally sound. It also enforces you to make the behaviour simple and insightful; systems that are designed for sound behaviour are also much easier to maintain and adapt. System Validation is the field that studies the fundamentals of system communication and information processing. The techniques put forward in system validaton allow to prove the absence of errors. This first course ’Automata and behavioural equivalences', builds the foundation of the subsequent courses, showing you how to look at system behaviour as state machines. It discusses behavioural equivalences and illustrate these in a number of examples and quizzes. This course explains labelled transition systems or automata to model behaviour for especially software controlled systems. An important question is when two behaviours represented by such automata are equal. The answer to this question is not at all straightforward, but the resulting equivalences are used as powerful tools to simplify complex behaviour. This allows us to exactly investigate and understand the behavioural properties of such systems precisely. Especially, in the combination with hiding of behaviour, equivalence reduction is a unique technique to obtain insight in the behaviour of systems, far more effective than simulation or testing. Using this insight we can make the models correct. Such models form an excellent basis for the production of concise, reliable and maintainable software. This course is part I of the set of courses for System Validation. System Validation, as a set of courses, is part of a larger EIT Digital online programme called 'Internet of Things through Embedded Systems'....

Лучшие рецензии

29 июля 2020 г.

This was a really good course. The professor is good as well. I would certainly recommend that people take this course.

27 мая 2020 г.

Good course on Automata and behavioural equivalences.\n\nThe assessment questions are really challenging.

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26–36 из 36 отзывов о курсе System Validation: Automata and behavioural equivalences

автор: Asif J

10 мая 2020 г.

Good to learn new things. the recorded sound quality is not too clear. However I managed to learn from the professor a lot.

автор: Emmanuel D

5 дек. 2017 г.

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

автор: Roger.Qea

15 июля 2017 г.

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

автор: 项超

5 нояб. 2018 г.

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

автор: Dmitry F

13 янв. 2017 г.

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!

автор: Garry M

23 сент. 2020 г.

There are little examples in the course or the book and that makes it difficult to practice for the quizzes or really get a feel for the information. Most times I felt I learned more reading the book after doing a quiz attempt and using the feedback than I did in the videos. I recommend adding more examples and practice exercises for this material.

автор: Carlo B

12 февр. 2018 г.

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.

автор: Nicolas R

20 июля 2020 г.

The quizzes ask very useful but non-trivial questions that hint at taxonomies of behavior equivalences relations w.r.t.some criteria (e.g., coarsest; preserving weak traces; preserving divergences; ...)

автор: Harsh D

19 мар. 2018 г.

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

автор: Hanno H

8 июня 2020 г.

This is painful to watch. Sadly, uttering a series of correct statements is not the same as teaching a subject. The lecturer clearly knows his materials, but ends up making the course content harder than it really is. Automaton theory is a wonderful topic to be working with but this lecture is more confusing than helpful. I'd recommend to buy a good book on the matter, its less frustrating and probably explains things better.

автор: Marwan A

12 авг. 2017 г.

I didn't understand a thing from the course! It's like the professor is reading from a book! This is not education, this is an audible book recorded using the worst mic ever!