WHU | Logo

Decision Support Systems (Data Science)

Course code
QUANT511
Course type
MSc Course
Weekly Hours
2,5
ECTS
5
Term
HS 2021
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.
  • Simon’s model of decision making
  • Introduction to DSS
  • DSS and related concepts
  • Introduction to data science
  • Introduction to data science
  • Recap data, statistical modeling, and visualization
  • Logistic regression
  • Decision trees
  • Single perceptron
  • Introduction to ANN, deep learning and cognitive computing
  • Further predictive analytics models
  • Practice with RapidMiner
  • Text mining, sentiment analysis
  • Social analytics
  • 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, 25.10.2021 08:00 - 11:15
Friday, 29.10.2021 08:00 - 11:15
Tuesday, 02.11.2021 08:00 - 11:15
Thursday, 11.11.2021 08:00 - 11:15
Friday, 12.11.2021 08:00 - 11:15
Tuesday, 23.11.2021 08:00 - 11:15
Friday, 26.11.2021 08:00 - 11:15
Friday, 03.12.2021 08:00 - 11:15
Tuesday, 14.12.2021 14:00 - 15:30
Improved data literacy and data-analytic skills

Improved working skills with 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

Practice with a software (RapidMiner) and data sets

Quizzes

Group work, discussions

Project presentations (50%)

Final exam (50%)

WHU | Logo