KIT - KSOS - PhD Program - Courses on Service Research

Service Analytics Prof. Setzer, Prof. Fromm, 4.5 Credits
Service Analytics II – Enterprise Data Reduction and Prediction Prof. Setzer, 4.5 Credits
Services Marketing Prof. Kim, 3 Credits
Marketingkommunikation Prof. Kim, 4.5 Credits
Operations Research in Health Care Management Prof. Nickel, 4.5 Credits
Ereignisdiskrete Simulation in Produktion und Logistik Prof. Spieckermann, 4.5 Credits
Challenges in Supply Chain Management Prof. Blackburn, 4.5 Credits
Semantic Web Technologies Prof. Sure-Vetter, Prof. Studer, 5 Credits
Computational Economics Prof. Shukla, 5 Credits
Energy Systems Analysis Prof. Bertsch, 3 Credits
Krankenhausmanagement Prof. Hansis, 3 Credits
Pricing Prof. Kim, 4.5 Credits
Produktions- und Logistikcontrolling Prof. Wlcek, 3 Credits
Digital Transformation of Organizations Prof. Mädche, 4.5 Credits
Service Design Thinking Prof. Satzger, 9 Credits
Foundations of Digital Services A Prof. Satzger, Prof. Weinhardt, Prof. Sure-Vetter, 4.5 Credits
Service Oriented Computing Prof. Studer, 5 Credits
Grundzüge der Informationswirtschaft Prof. Weinhardt, 5 Credits
Industrial Services Prof. Fromm, 4.5 Credits
Business and IT Service Management Prof. Satzger, 4.5 Credits
Online Marketing Prof. Kim, 4.5 Credits
Service Innovation Prof. Satzger, 4.5 Credits
Market Engineering: Information in Institutions Prof. Weinhardt, 4.5 Credits
Geschäftsmodelle im Internet: Planung und Umsetzung Dr. Teubner, 4.5 Credits
Efficient Energy Systems and Electric Mobility Dr. McKenna, Dr. Jochem, 3.5 Credits
Basics of Liberalised Energy Markets Prof. Fichtner, 3.5 Credits
Mathematical Methods for Quantitative Finance Prof. Konis, 6 Credits (8 weeks, 8-10 hours a week)
Gamification Prof. Werbach, 4 Credits (6 weeks, 4-8 hours a week)
Marketing Analytics Prof. Venkatesan, 2 Credits (5 weeks, 3-5 hours a week)
Enabling Technologies for Data Science and Analytics: The Internet of Things Prof. Chang, 4 Credits (5 weeks, 7-10 hours a week)
Statistical Thinking for Data Science and Analytics Prof Gelman, Prof. Madigan, 4 Credits (5 weeks, 7-10 hours a week)
Predictive Analytics Prof. Kumar, 3 Credits (7 weeks, 4-5 hours a week)
Innovation and IT Management Prof. De’, 3 Credits (6 weeks, 4-6 hours a week)
Entrepreneurship 101: Who is your customer? Mr. Aulet, 2 Credits (6 weeks, 4 hours a week)
Entrepreneurship 102: What can you do for your customer? Mr. Aulet, 2 Credits (6 weeks, 4 hours a week)
Foundations of Data Analysis - Part 1: Statistics Using R Mahometa Ph.D., 3 Credits (6 weeks, 3-6 hours a week)
Foundations of Data Analysis - Part 2: Inferential Statistics Mahometa Ph.D., 3 Credits (6 weeks, 3-6 hours a week)
Culture of Services: New Perspective on Customer Relations Prof. Yamauchi, 2 Credits (8 weeks, 2-3 hours a week)