Process Mining and Analytics

IS 514 for Master's program (MMM, MMBR, MMDS, Business Informatics, Business Education)

General Information

Fall 2020
Lecturer Prof. Dr. Jana-Rebecca Rehse
Course Format Lecture and Exercise
Credit Points 6 ECTS
Language English
Grading Written exam (80%) and group project (20%)
Exam Date 17 December (tentative)
Information for Students Attention: This course is limited to 80 participants. Please register in time via Portal 2 and carefully follow the instructions provided in Portal2. It is sufficient to register for the lecture only.
Prof. Dr. Jana-Rebecca Rehse

Prof. Dr. Jana-Rebecca Rehse

Junior Professorship for Management Analytics
University of Mannheim
Assistant Professor of Management Analytics
L 15, 1–6 – Room 413
68161 Mannheim

    Course Information

  • Short Description

    In this course, concepts and methods for process analytics and process mining are theoretically presented and practically applied. This includes methods for process analytics (semantic checks, process matchings, etc.), methods for data mining applied to process data (clustering, classification, anomaly detection, etc.), and methods for process mining (process discovery, conformance checking, process enhancement).

    • Objectives

      After completing this course, you will be able to:

      • Recognize the significance of process analytics and process mining
      • Analyze process models and process logs with suitable methods and tools
      • Know and apply the most important methods of process discovery and compliance checking
      • Suggest data-based optimizations of process behavior
    • Lecture

      Lecturer Prof. Dr. Jana-Rebecca Rehse, Prof. Dr. Han van der Aa

      The lecture will take place each Thursday between 15:30 and 17:00 as an online course. The lectures will be held live via Zoom and will be uploaded as recordings to ILIAS afterwards.

      Date Information
      01.10.2020 Introduction & Modeling
      08.10.2020 Petri Net Analysis
      15.10.2020 Simple Process Discovery
      22.10.2020 Advanced Process Discovery
      29.10.2020 Quality Dimensions & Process Mining Methodology
      05.11.2020 Conformance Checking
      12.11.2020 Process Enhancement
      19.11.2020 Process Matching & Similarity
      26.11.2020 Process Quality & Simulation
      03.12.2020 Machine Learning & Process Mining
    • Exercises

      Exercise sessions will take place on Mondays, both from 10:15 to 11:45 and from 15:30 to 17:00 (you can choose which of the sessions you wish to attend). After each lecture, we will publish a set of exercises and their solutions on ILIAS. The exercise sessions on Zoom are set up as digital walk-in hours where you can come in to ask questions about the exercises (preferably in a private video break-out). Since the subject matter of the course can only be learned by solving tasks yourself, the sessions are not intended as an opportunity for you to watch us solve the exercises.

    • Case Study

      This course contains a (mandatory) case study. More information will be posted to ILIAS after the course has started.