--- This is the moodle we will use for the lectures and practicals ---
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, ...
- Trainer/in: Marina Friedel
- Trainer/in: Marlene Kretschmer
- Trainer/in: Julia Mindlin
- Trainer/in: Karin Mora