Prescriptive Analytics

D-WW-WIWI-1015
MA-WW-BWL-1015

• homework assignments
• Final assignment (selected optimization problems)
• Presentation of results

01.04.26 / 09:00 - Start of enrollment

The contents will be taught in 5 events. The events always take place in the fifth and sixth lessons on the given dates.

14.04.26 - Event 1 (Basics Python)
21.04.26 - Event 2 (Object Orientation)
28.04.26 - Event 3 (Constructive Heuristics)
05.05.26 - Event 4 (Local Search Methods)            
12.05.26 - Event 5 (Metaheuristics) 

Final assignment
19.05.26      - Issue date
individually - Consultation in small groups
30.06.26      - handing in and presentation

The course "Prescriptive Analytics" teaches the components and design of algorithm-based decision support for complex planning problems using Python.

As a downstream planning step of predictive analytics, prescriptive analytics uses optimization algorithms and information regarding future developments to provide concrete recommendations for action for complex planning problems.
Therefore, the focus is not on the question "What will happen?" but "What must be done to achieve goals as optimally as possible?".

In the course, students acquire knowledge of various approaches to decision support, such as constructive methods, improvement methods, and metaheuristics.
In addition to a basic introduction to programming with Python, the focus is primarily on structuring and implementing these approaches.