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Process Management and Analytics

IS 515 for Master's program (MMM, MMBR, MMDS, Business Informatics, Business Education)

General Information

Fall 2022
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%, mandatory)
Exam Date To be announced
Information for Students Attention: This course is limited to 120 participants. Please register in time via Portal² 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

    Business processes are the structural core of every modern enterprise. In this course, we will cover the fundamentals of business process management (BPM) by introducing students to relevant concepts and methods for modelling, analysing, implementing, and controlling processes. We will put particular focus on data-driven BPM methods (process analytics). The overall course goals are that students recognize the influence of data-driven business process management on corporate success and are able to use analytical methods to discover and evaluate optimization potential for business processes.

    The lectures will be accompanied by exercise sessions, where the concepts and methods will be practically applied through text-based exercises, manual computations, standard process mining tools as well as light-weight programming. In addition, students will have to participate in a case study, where they will apply process mining methods in a practical business case.

    • Objectives

      Upon successful completion of this course, you will be able to:

      • Design and improve business processes using suitable methods
      • Analyze properties of process models and event logs
      • Apply and compare the most important methods of process discovery and conformance checking
      • Suggest data-based process optimizations
      • Explain how business processes can be supported by information technology
    • Lecture

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

      Lectures take place in attendance.

      Date Information
      08.09.2022  
      15.09.2022  
      22.09.2022  
      29.09.2022  
      06.10.2022  
      13.10.2022  
      20.10.2022  
      27.10.2022  
      03.11.2022  
      10.11.2022  
      17.11.2022  
      24.11.2022  
      01.12.2022  
      08.12.2022  
    • Exercises

      The exercises take place on Mondays. There are three dates from 10:15 to 11:45, from 12:00 to 13:30 and from 15:30 to 17:00.  The date from 12:00–1:30 p.m. is intended specifically for students from higher semesters and those who have failed the exam in previous semesters. You can choose which exercise you attend.

      After each lecture, an exercise sheet including the corresponding solutions will be published on ILIAS. During the exercises you can ask questions about these exercise sheets. Since the course content can only be learned through self-directed application of the individual topics, the exercises are not intended for you to watch us solve the exercises.

      Date Information
      12.09.2022  
      19.09.2022  
      26.09.2022  
      03.10.2022 ---
      10.10.2022  
      17.10.2022  
      24.10.2022  
      31.10.2022  
      07.11.2022  
      14.11.2022  
      21.11.2022  
      28.11.2022  
      05.12.2022  
    • Case Study

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

      Date Information
      06.10.2022 Group Project Explanation
      27.11.2022 Group Project Deadline (16:59)