Grading Criteria
The course grading is distributed in three main blocks:
- Homeworks (25 points in total, to be completed individually)
- Homework 1: Automated Process Discovery (5 points)
- Homework 2: Performance Mining (5 points + 1 extra point)
- Homework 3: What-if Scenarios Process Mining (7 points)
- Homework 4: Predictive Process Monitoring (8 points + 2 extra points)
- Course Project (25 points)
- Analysis of a real-life dataset and a set of questions posed by a business user.
- To be completed in teams of 2 members.
- Submission of a report and in-person presentation.
- Final Exam (50 points)
- Analysis of an event log using various process mining techniques, such as the ones studied throughout the course.
- In-person, open-book and open-laptop.
- Optional (extra 3 points)
- You may write a short summary, between 200 and 500 words, of the key takeaways of lecture 11.
NB! To get a passing grade, you must score at least 51 points in total AND at least 20 out of 50 points in the final exam (the exam is in-person only).
Policy for late submissions
Late submissions of any homework or project are highly discouraged:
- Up to 24 hours late: penalty of -25% over the obtained mark.
- Up to 48 hours late: penalty of -50% over the obtained mark.
- More than 48 hours late: will not be graded.