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Decision Support Systems (Data Science) - (B-F)-M

Course code
QUANT511
Course type
MSc Course
Weekly Hours
2,5
ECTS
5
Term
HS 2023
Language
Englisch
Lecturers
Juniorprof. Dr. Irina Heimbach
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.
  • Introduction to DSS
  • DSS and related concepts
  • Visual analytics with Tableau
  • Text mining, sentiment analysis
  • Introduction to data science and predictive analytics
  • Logistic regression
  • Decision trees
  • Introduction to artificial neural networks
  • Practice with RapidMiner
  • Expert systems and recommenders
  • Chatbots, virtual personal assistants, and robo-advisors
  • Implementing DSS
  • Legal, privacy, and ethics issues
  • Impact on organizations, jobs, and works
  • Technology trends and future of DSS
Date Time
Monday, 30.10.2023 15:30 - 18:45
Friday, 10.11.2023 15:30 - 18:45
Tuesday, 14.11.2023 11:30 - 15:15
Monday, 20.11.2023 15:30 - 18:45
Friday, 24.11.2023 13:30 - 17:00
Tuesday, 05.12.2023 08:00 - 11:15
Friday, 08.12.2023 11:30 - 17:00
Improved data literacy and data-analytic skills

Improved working skills with Tableau and RapidMiner

Understanding of main concepts of technology-mediated decision support

Sharda et al. 2021 Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th edition, Pearson.
Lecture

Integrated exercises and in-class discussions

Practice with software (Tableau and RapidMiner) and data sets

Quizzes

Project work

Project work (50%)

Final exam (50%)

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