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Data Analytics in Applications

MGT001307Master's Modules6 ECTSEnglishWintersemester/SommersemesterLehrstuhl für Betriebswirtschaftslehre - Unternehmensführung, Logistik und Produktion (N.N.)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you work on Data-Analytics use cases from problem formulation to implementation. You will learn methodology (CRISP-DM), data preparation, modeling (e.g., classification, clustering, regression), evaluation and deployment, and you will practically apply what you have learned in a real team project with Python.

What you will be able to do

  • Identify data-analytics use cases
  • Structurally plan and work on data-analytics projects
  • Prepare and analyze data
  • Apply models for Descriptive Analytics, Classification, Clustering, Regression
  • Evaluate and deploy ML models
  • Document results and code purposefully
  • Teamwork in interdisciplinary projects (Learning-by-doing, PoC)

What the module consists of

  • Seminar/ÜbungProvision of theoretical foundations, use cases and methodology; exercises with Jupyter Notebooks (Python)
  • Teamprojekt (Data Challenge)Independent work on a real use case in groups, supported by consultation hours and company mentors

Teaching method

  • Seminare mit ÜbungenProvision of theory and practical application using Jupyter Notebooks
  • Teamprojekt mit SprechstundenApplication of what has been learned in a real Data Challenge format (Proof of Concept) to foster practical and team skills
  • Gastvorträge und Kooperation mit IndustriepartnernPractical insights, access to data sources and industry contacts

Dates

LectureEntrepreneurship (WI000984, WI900005, WI001185, englisch)2 groups to choose from

  • ATue09:45–11:15N 1179, Wilhelm-Nusselt-Hörsaal (0101.02.179)
    7× · 13.10.–24.11.
    • 13.10.
    • 20.10.
    • 27.10.
    • 03.11.
    • 10.11.
    • 17.11.
    • 24.11.
  • BWed15:00–16:302300, Friedrich von Thiersch Hörsaal (0503.02.300)
    7× · 14.10.–25.11.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.

SeminarData Analytics in Applications (MGT001307, englisch)4 groups to choose from

  • AThu16:00–17:30Online: Videokonferenzonce on 15.10.
  • BFri08:00–17:30Z538, Seminarraum (0505.Z1.538Z)once on 29.01.
  • CFri09:00–12:00Online: Videokonferenzonce on 27.11.
  • DFri13:15–16:30Theresianum, 0606, Hörsaal ansteigend, ohne exp. B (0506.EG.606)
    6× · 16.10.–15.01.
    • 16.10.
    • 20.11.
    • 27.11.
    • 04.12.
    • 18.12.
    • 15.01.
  • DFri13:15–16:302770, Hörsaal (0507.02.770)once on 23.10.
  • DFri13:15–15:30Online: Videokonferenzonce on 30.10.

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

Show TUMonline data
Sprache
Englisch
Turnus
Wintersemester/Sommersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
180
Präsenzstunden
40
Eigenstudiumstunden
140
Organisationsname
Lehrstuhl für Betriebswirtschaftslehre - Unternehmensführung, Logistik und Produktion (N.N.)

Courses

  • Data Analytics in Anwendungen
  • Data Analytics in Applications
  • Entrepreneurship
  • Entrepreneurship
  • Entrepreneurship - Lecture Workshops

Official page in TUMonline · Details are not binding.