Location & approach

By car

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

By bus and train

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

By plane

From Dortmund Airport, it takes just over 20 minutes to get to Dortmund Central Station by AirportExpress and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Location & approach

By car

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

By bus and train

The campus of the Technical University of Dortmund is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits.

The H-Bahn

One of the landmarks of the TU Dortmund is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

By plane

From Dortmund Airport, it takes just over 20 minutes to get to Dortmund Central Station by AirportExpress and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Courses at the "Statistical Methods for Big Data" chair

Current term

Summer term 2025

Advanced Statistical Learning (key: SoSe_25_ASL)
Generalised Linear Models (key: SoSe_25_GLM)
dden Markov and State Space Models (key: HMM2025; Dr. Rouven Michels)

Past terms

Winter term 2024/2025

Wahrscheinlichkeitsrechnung und Mathematische Statistik (WRUMS) (registration via LSF; link to Moodle)
Seminar Soccer Analytics

Summer term 2024

Summer term 2023

Winter term 2022/2023

Summer term 2022

Advanced Statistical Learning

GLM

Winter term 2021/22

Survival Analysis

Summer term 2021

Advanced Statistical Learning

Case Studies 1

Introduction to Statistical Learning / Knowledge Discovery in Databases

Winter term 2020/21

Advanced Statistical Learning

GLM

Data Science in Context

Introduction to Data Science I

Pre-Course Data Science (Alexander Gerharz)

Prerequisite Reading Courses

Summer term 2020

Survival Analysis

Introduction to Data Science II

Winter term 2019/20

Advanced Statistical Learning

GLM

Introduction to Data Science I

Pre-Course Data Science (Alexander Gerharz)

Summer term 2019

Statistics IV: Statistical methods

Winter term 2018/19

Seminar: Sport and Statistics (info)

Probability theory and mathematical statistics (for computer scientists)

Summer term 2018

Statistics IV: Statistical methods

Winter term 2017/18

Computer-aided statistics