Jul 02, 2019
The course is designed and presented by professor aptly for beginners. I think before reading the Process Mining book it is good to take this course and then read the book later. The quizzes are good.
May 13, 2018
Very interesting course, explained in a understandable way and rich of high level topics. Essential for anyone who likes statistics and process analysis. Many congratulations for it!
von Tania K•
Sep 18, 2017
Great course. A lot of academic knowledge but also covers practical experience
von Jelmer J G•
Feb 23, 2018
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
von Gabriel E•
Mar 04, 2017
von Elia C•
Mar 13, 2017
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.
von Robin G•
Jun 23, 2017
Very clear presentation and a lot of examples
von Martin S•
Dec 05, 2018
Good introduction to theory of process mining, but most of the techniques are problematic and therefore not practical, and the test questions are tedious as they focus on testing whether you can remember the theory rather than how to apply the theory to real-world problems.
von Niko M•
Feb 04, 2019
Very good course. More real life cases and process mining examples would be beneficial.
von Alexander B•
Oct 21, 2018
Some topics are a bit glazed over and others with concepts that are acknowledged to have major shortcomings (e.g. the alpha algorithm) have a heavy focus in the course and exam despite these shortcomings. Frequent notational switches ("we can automatically change this to ___ ") can make some lectures harder to follow as well, if you're not perfectly versed in some of the leveraged notations in this course. OK overall.
von Max F•
Nov 01, 2018
I wish there was more hands on experience using the software
von Sofie H•
Sep 07, 2018
Sometimes too technical. It would have enjoyed it more if there would have been the possibility to choose which aspects of Process Mining I was interested in. In one of the last lessons, I came to the understanding that I want to apply process mining to spaghetti-structured event data, therefore I had to learn a lot about prediction, recommendation and so on which than turned out to be completely useless for me. I have the same feeling for the petri net, workflow syste, BPMI and so on that are presented; this is only useful for some users while this takes a large part of the study time. It may thus be recommended to organize a more 'practical' PM course for users interested in using Disco and a more technical course for users interested in more advanced analysing techniques.
von Henning B•
Aug 13, 2017
Interesting material, but the course seems mostly designed to cross-sell the book and promote the (open source) software of the authors, rather then promote understanding of the underlying algorithms.
Positive: The videos go through examples in great detail.
von Felipe M P L•
Jul 23, 2017
Too much time going over details of the models and not enough on practical use
von Mahsa R•
May 11, 2018
It is too conceptual. I watched all these long videos and I still don't know how to do a real process-mining project for a client.
Jul 31, 2017
Some difficult issues need to explain in detail and more patiently
von Jay L•
Sep 12, 2018
Poorly constructed and difficult to learn from. this class.
Jul 30, 2017
Week 2,3 and 4 need more focus in terms of explanation as it was very difficult to answer questions based on what the tutor taught. The tutor can be more illustrative with respect to the concepts taught in these weeks.