学生对 埃因霍温科技大学 提供的 过程挖掘：数据科学实战 的评价和反馈

Very good!

Very good!

Amazing!!!

Excelente!

Excelent!

awesome

helpful

Great!

Superb

G

5

seems that the course was updated once or twice, whereby the video is no longer up to date (example chapter of the books at the end of each course is not matching which the slides). Particular questions don't have options displayed (so you need to do a multiple-choice with all blanc answers). Very interesting course, but some chapters are hard to chew thru. Nonetheless well worked out, I am pleased with my certificate. I believe this is indeed a very promising topic for the future to be familiar with. Thank you

Extremely interesting subject. The exposition is for the most part remarkably clear, though it amounts to a necessarily quick introduction to the vast variety of tecniques and tools. The student is supposed to conduct a lot of practice as self-study and experimenting. Giving 4 stars out of 5 instead of full marks only because I feel this course might work better in an extended format, going more in-depth on real cases and guiding the students through the hurdles and subtleties of such analyses.

A very information course of a new and currently developing field of process mining. Every bit of information was elaborate and clear. As an advisory associate, it had practical benefits to my own work as well. However, the only possible thing that lacked was ways to acquire the data or cleaning it to be put into the data mining software. My practical application of the concepts taught have been greatly restricted due to that.

Comprehensive dive into the world of Process Mining, from the most basic concepts into advanced topics, such as applying Process Mining to live data. Unfortunately, while I leave this course with a solid foundation, I wish there were tutorial lectures dedicated to go through practical exercises (namely in ProM and/or Disco). Great course overall.

The content of the course was excellent. The Android app is a little bit poor, especially if one would do the quizzes. The pictures are not very well to watch. For some topics (e.g. Alpha Algorithm) I would have appreciated it, if you could replay an example very clearly and in a deep detail.

Good short course to get introduced into the formalism of process mining. Beginning might be a bit overly formal with not much justification for why this formalism is best. Could use a bit more real-world examples at the end, and how data science and machine learning can help.

The course is a very nice introduction. I would have liked to give more additional hints to more advanced methods for an audience interested in perusing a PhD in this field. E.g. some optional implementation tasks/project would have been nice.

Good course, interesting subject. Sometimes examples are presented too quickly, without explaining where certain numbers come from. References to chapters in the book refer to another edition of the book (no biggie)

An excellent course to get a broad overview of the innerworkings of process mining. Somewhat more on the technical side so I strongly recommend doing the honors assignments to get to the practical aspects.

The topics covered in the course were very interesting, though the course would have been more valuable if accompanied with python programming of case studies.

Kind regards Max

Good introductory course to data mining. It would help if the disco demo version has a higher limit ( >100 lines) as that would allow better experimentation with real data.

I would like to have 1 more week in which one can go through a process mining process from start to end, step by step. Furthermore, great course, very hands-on and useful

Very interesting course, provides a lot of valuable background and insights on process mining, but as always, it will take a lot of practice to be able to create value.