MSc Lecture/Exercise Smart Process Analytics

+++ The first lecture is on: Thursday, 2019-10-24 room E427 (14:15h). +++
This module consists of a lecture and corresponding tutorial.

Modul: 04WI2030

Lecturer

 

Information from KLIPS

Lecture

Topic

The lecture Smart Process Analytics (SPA) is on how we can support businesses by analyzing and interpreting data that is permanently generated by running software applications, smart devices, and/or general environmental services.

In particular, the lecture introduces how such an analysis can take place by using advanced concepts from the field of process mining. The topics that are covered by the course are as follows:

  • data collection and preprocessing
  • data analysis with process mining
  • deterministic process mining algorithms
  • probabilistic process mining algorithms
  • predictive process analytics
  • context-aware (=smart) process analytics

The exercise of the SPA course deepens the concepts introduced in the lecture by applying them in an extensive case study that has to be worked on in groups of 4-5 students. In the tutorial, the students are provided with process log data from a real-world business case, alongside with context information provided by sensors and/or online services. The task of the case study is to perform log data preprocessing, and, furthermore, smart (and, if applicable, predictive) process analytics with the concepts and tools introduced in the lecture. The results have to be presented and discussed in a final presentation session.

Important

The course SPA will be held in semi-blocked style. This means that from October to early December, we will mostly hold lectures BOTH AT LECTURE AND TUTORIAL TIMES. After that, we offer weekly tutorials that accompany the extensive case study work on process analytics, which has to be done in homework. The results of the case study must be presented at the end of the semester. In order to perform the blocked lecture most efficiently, we hold the lectures from 14h s.t. to 18h each Thursday.

Language

The lecture will be held entirely in English to open it for non-German speakers. However, in case everyone speaks German, we will change to German.

The lecture and the exercise dates will not alternate regularly. I.e., the lecture will be held from October to December on both the lecture and exercise dates, and in December we will switch to the exercise.

Preconditions

It helps you (but it is not mandatory) if you know basics of business process modeling (ideally, you have already visited BPM). 

How to get Credits

The course is worth 6 ECTS, and at the end, you will get one single combined grade. It will consist 50% of a written examination (60 minutes) on the topics of the lecture and 50% of the results of your case study work (this is because the exercise makes a considerable amount of work!).

The course can be counted for the following Master programmes:

  • Master Wirtschaftsinformatik: elective Wirtschaftsinformatik
  • Master Informationsmanagement: elective Wirtschaftsinformatik
  • Master Web Science: elective
  • Master Computer Science: elective Computer Science
  • Master Computer Vision: elective Computer Science

Particular Topics and Timetable

All dates and topics can be found soon in UniConnect

Written Examinations

All dates and topics can be found soon in UniConnect

Literature and Material

If applicable, we will provide any relevant literature. All documents (if electronically available), slides and tools will be uploaded and made accessible on UniConnect. Inaugural reading is not necessary. We will introduce all relevant basics in the lecture.

Registration

Please register for the lecture on KLIPS so that we can estimate the number of participants. Furthermore, you need to register on UniConnect (after the first lecture) with your University of Koblenz e-mail address to get access to the literature and material pages.

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