312520 Data Science for Economists (V) (SoSe 2025)

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Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mi 12-14 S1-213 09.04.-18.07.2025

Subject assignments

Module Course Requirements  
31-M-ASM1 Advanced Statistical Methods I Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) Student information
31-M-ASM2 Advanced Statistical Methods II Veranstaltungen aus dem Bereich Statistik und/oder in (einem) methodisch verbundenen Gebiet(en) (I.) Graded examination
Student information
31-M-El1 Elective Courses 1 Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 4 LP Student information
31-M-El2 Elective Courses 2 Gewählte Veranstaltungen aus dem Bereich quantitativen Methoden 4 LP Student information
31-MM15 Empirische Wirtschaftsforschung und Quantitative Methoden Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie, etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV, etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken, etc.) Student information
31-MM15-WiMa Empirische Wirtschaftsforschung und Quantitative Methoden Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken etc.) Student information
31-SW-AKStat Ausgewählte Kapitel der Statistik Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Economics and Management (BiGSEM) / Promotion Economics; Field Courses   4  
Studieren ab 50    
Wirtschaftswissenschaften - Angebote für Erasmus / Incomings (Bachelor)    
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E-Learning Space
E-Learning Space
Registered number: 50 (1)
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:
SS2025_312520@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
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_507127945@ekvv.uni-bielefeld.de
Coverage:
49 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Monday, January 13, 2025 
Last update times:
Friday, February 7, 2025 
Last update rooms:
Friday, February 7, 2025 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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ID
507127945