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Module 12-GEO-M-AG01    Introduction to Data Science

Lecture/Vorlesung (2 SWS): Monday 12.45-14.15, HS2 (room 1.12), Talstr. 35. 

Practicals/Übung (2 SWS): Group 1: Monday  14.30- 16.00, HS2 (room 1.12), Talstr. 35. 
                                             Group 2: Thursday 15:30 -17:00, HS2 (room 1.12), Talstr. 35.

Contact: 

  • Marlene Kretschmer: marlene.kretschmer[at]uni-leipzig.de
  • Julia Mindlin: julia.mindlin[at]uni-leipzig.de
  • Marina Friedel: marina.friedel[at]uni-leipzig.de
  • Karin Mora: karin.mora[at]uni-leipzig.de

Course Objectives: After successful participation, students will have a good understanding of the concepts and methods of Data Science. They will be enabled to apply relevant procedures of data processing, analysis, and interpretation and apply the acquired knowledge to problems of earth system science and transfer them to new problems.

Course Content

  • Theme 1: math basics
    notations, functions, matrices, vectors, eigenvectors, linear regression, ....
  • Theme 2: statistics & probability theory
    distributions, Bayes theorem, mean, variance, correlation, test statistics, ...
  • Theme 3: machine learning
    (multiple) linear regression, classification, clustering, dimensionality reduction, ...

Semester: WT 2024/25