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Data Science in Business and Economics with R

MGTHN0125Electives in Management6 ECTSEnglishWintersemester/SommersemesterProfessur für Economics (Prof. Lergetporer) (TUM Campus Heilbronn)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You work empirically on economic and consumer-related questions with R. In the seminar you learn economic theory, the methodology of data analysis, and under supervision conduct your own analysis on provided data sets. In the end you can perform your own analysis in R, place the results in a theory-based framework, and present them.

What you will be able to do

  • Deepening microeconomic theories
  • Recognition and reflection of possible biases in (consumer) decisions
  • Critical assessment of empirical testability of (consumer) theories
  • Knowledge of empirical studies on measurement and effect identification
  • Carrying out your own data analyses with R on provided data sets
  • Integration of your own results into a literature- and theory-based work
  • Presentation and communication of the central findings

What the module consists of

  • TheoriepartIntroduction to fundamental economic concepts of consumer theory
  • MethodikpartLearning and applying statistical methods and programming in R
  • Seminarpart (eigene Datenanalyse)Carrying out a supervised own analysis on a provided data set

Teaching method

  • Vorlesungs- und SeminarpräsentationenConveying the theoretical foundations and discussing the literature
  • Interaktives Coding in RPractical learning and applying the data analysis steps
  • Betreuung durch die Lehrperson / CoachingSupport for your own data analysis and for writing the thesis
  • Gruppenarbeit (empfohlen)Encourages joint literature research and collaboration in analysis steps

Dates

SeminarData Science in Business and Economics with R (MGTHN0125)4 groups to choose from

  • ATue10:00–14:00Online: Videokonferenzonce on 27.10.
  • BThu10:00–14:00L.1.12, Seminarraum (1902.01.112)once on 22.10.
  • CFri08:30–16:00L.1.12, Seminarraum (1902.01.112)once on 23.10.
  • DMon10:00–14:00Online: Videokonferenzonce on 26.10.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.