TEACHING

27 - Reinforcement Learning, Master of Computer Science, Institute for Advanced Studies in Basic Science, SS 2020. (course page)

26- Big Data Management, Master of Computer Science, Institute for Advanced Studies in Basic Sciences, WS 2019/20. (course apge)

25- Natural Language Processing, Master of Computer Science, Institute for Advanced Studies in Basic Sciences, SS 2019. (course page)

24- Information Retrieval, Master of Computer Science, Institute for Advanced Studies in Basic Sciences, SS 2019

23- Information Technology Engineering II, Institute for Advanced Studies in Basic Sciences, SS 2019

22- Big Data Analytics, Institute for Advanced Studies in Basic Sciences, WS 2018

21- Information Technology Engineering I, Institute for Advanced Studies in Basic Sciences, WS 2018

20- Natural Language Processing, ESCP Europe, Master of Big Data, SS 2018.

19- Project Management and Controlling in IT, Institute for Advanced Studies in Basic Sciences, SS 2018.

18- Research Practice “Social Bots Identification from Twitter”, University of Koblenz, Postgraduate level (M.Sc.), SS 2018.

17- Machine Learning Data Mining, University of Koblenz, Postgraduate level (M.Sc.), WS 17/18.

16- Seminar Big Data Analytics, University of Koblenz, Postgraduate level (M.Sc.), SS 2017.

15- Practical Project “Text Mining”, University of Koblenz, Graduate Level (B.Sc.), SS 2017.

14- Research Practice “Text Mining”, University of Koblenz, Postgraduate Level (M.Sc.), SS 2017.

13- Probabilistic Functional Programming (Exercise), University of Koblenz Postgraduate level (M.Sc.), WS 2016/17.

12- Seminar: Trends and Technologies in Knowledge Management, University of Siegen, Postgraduate level (M.Sc.), SS 2015

11- Seminar: Competence Management in the IT sector, University of Siegen, Postgraduate level (M.Sc.), WS 2014/15.

10- Seminar: Requirement Analysis and Design conceptions for research applications (), University of Siegen, Postgraduate level (M.Sc.), SS 2014.

9- Vorkurs: Informatik (getting started with programming), University of Siegen, Graduate level (B.Sc.), WS 2013/14.

8- Seminar: KnowCare – Knowledge Management methods, tools and technologies in healthcare, University of Siegen, Postgraduate level (M.Sc.), WS 2013/14.

7- Seminar: Semantic technologies in Cloud Computing, University of Siegen, Postgraduate level (M.Sc.), SS 2013.

6- Vorkurs: Informatik, (getting started with programming), University of Siegen, Graduate level (B.Sc.), WS 2012/13.

5- Seminar: Data Analytics in Social Media, University of Siegen, Postgraduate level (M.Sc.), WS 2012/13

4- Seminar “Innovation, Competence and Knowledge Management in large scale enterprises”, University of Siegen, Postgraduate level (M.Sc.), SS 2012.

3- Vorkurs: Informatik, (getting started with programming), University of Siegen, Graduate level (B.Sc.), WS 2010/11.

2- Seminar: Innovation & Competence Management in Mechanical Engineering, University of Siegen, Postgraduate level (M.Sc.), WS 2011/12.

1- Vorkurs: Informatik, (getting started with programming), University of Siegen, Graduate level (B.Sc.), since WS 2010/11.

Following courses in a graduate degree (B.Sc.):

• Programming with Assembly
• Advanced Assembly Programming
• Database Systems
• VHDL Programming
• Computer Systems Architecture
• Computer Logic
• Programming with C++
• Computer Networks
• Special Issues in Computer Science
• Scientific Writing in Computer Science