312440 Decision-Focused Analytics (S) (WiSe 2021/2022)

Short comment

Course taught in English.
The lecture will take place as distance learning.

Contents, comment

The goal of the course Decision-Focused Analytics is to learn how to use and combine techniques from different fields of Analytics (e.g. Data Science, Machine Learning and Operations Research) to support decision making and optimization under uncertainty.

The course aims at preparing the students for using these approaches in their own research projects. For this reason, the first part of the course will complement lecture-style presentation of the material with example implementations in Python provided in Jupyter notebooks.

For further information, please refer to the LernraumPlus (klick on "Lernraum öffnen" below).

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Subject assignments

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Economics and Management (BiGSEM) / Promotion Management; Electives   4  
Economics and Management (BiGSEM) / Promotion Finance; Electives   4  
Economics and Management (BiGSEM) / Promotion Economics; Field Courses; Electives   4  
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E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 12
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2021_312440@ekvv.uni-bielefeld.de
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If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_302243759@ekvv.uni-bielefeld.de
Coverage:
11 Students to be reached directly via email
Notes:
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Last update basic details/teaching staff:
Thursday, August 12, 2021 
Last update times:
Thursday, August 12, 2021 
Last update rooms:
Thursday, August 12, 2021 
Type(s) / SWS (hours per week per semester)
S /
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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ID
302243759