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Advanced Quantitative Methods

SOT86901Elective Area in Methods6 ECTSEnglishsummer semesterDepartment Governance
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn advanced quantitative methods that go beyond the classic linear regression model. The module explains consequences of violations of OLS assumptions, introduces maximum-likelihood estimation, and applies these methods to binary, ordinal and count data (e.g., Logit/Probit, Ordered Logit/Probit, Poisson/Negative Binomial). By the end you can apply these models independently and interpret the results.

What you will be able to do

  • Understand consequences of violations of OLS assumptions
  • Master the mechanics and application of maximum-likelihood estimation
  • Assess the strengths and weaknesses of different models
  • Apply models independently with statistical software
  • Interpret and communicate results correctly

What the module consists of

  • Vorlesung (2 SWS)Vermittlung der theoretischen Grundlagen per Präsentationen und Folien
  • Tutorium (2 SWS)Anwendung der Vorlesungsinhalte mit Statistiksoftware, Übungsblättern, Präsentationen und Diskussion

Teaching method

  • Präsentationen / VorlesungsfolienVermittlung der fundamentalen Theorie
  • Übungsblätter und TutoriumSelbständige Anwendung, Üben und Selbstkontrolle
  • Präsentationen durch StudierendeTraining in Kommunikation und Darstellung statistischer Ergebnisse
  • Diskussion/Open Space im TutoriumKlärung von Fragen und Vertiefung
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Official page in TUMonline · Details are not binding.