Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

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Contrast Deutsch

Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

ServicePortal UniMail

Courses

Winter semester 2023/24

Lecture: Statistics in Toxicology I - Modelling (F. Kappenberg)
Lecture: Statistics in Toxicology II - Testing
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Advanced seminar for degree candidates

Summer semester 2023

Lecture: Klinische Studien
- Enrollment key for Moodle course in LSF
Lecture: Statistical Methods for Genetics - Bioinformatics
- Enrollment key for Moodle course in LSF
Seminar: Multiples Testen in der Biostatistik (F. Kappenberg)
Advanced seminar for degree candidates

Winter semester 2022/23

Lecture: Statistics in Toxicology II - Testing
- Enrollment key for Moodle course in LSF
Introductory Case Studies
- Enrollment key for Moodle course in LSF
Advanced seminar for degree candidates

Previous courses

SuSe 2022

Lecture: Klinische Studien
Lecture: Statistics in Toxicology I - Modelling (F. Kappenberg)
Lecture: Empirische Analysemethoden - Datenanalyse für Raumplaner (A. Bommert)
Advanced seminar for degree candidates

WiSe 2021/22

Lecture: Statistics in Genetics - Bioinformatics
Lecture: Statistics in Toxicology - Testing
Advanced seminar for degree candidates

SuSe 2021

Lecture: Klinische Studien
Lecture: Statistics in Toxicology I - Modelling (F. Kappenberg)
Introductory Case Studies
Advanced seminar for degree candidates

WiSe 2020/21

Fallstudien I
Introductory Case Studies
Advanced seminar for degree candidates

SuSe 2020

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Seminar: Biostatistik
Advanced seminar for degree candidates

WiSe 2019/20

Lecture: Statistics in Toxicology
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Advanced seminar for degree candidates

WiSe 2018/19

Lecture: Statistische Methoden in der Genetik II (Bioinformatik)
Seminar: Statistik in der Toxikologie
Advanced seminar for degree candidates

SuSe 2018

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Lecture: Statistik für Journalistinnen und Journalisten
Advanced seminar for degree candidates

WiSe 2017/18

Fallstudien I
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Seminar: Bioinformatik
Advanced seminar for degree candidates

SuSe 2017

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Lecture: Statistik für Journalistinnen und Journalisten
Advanced seminar for degree candidates

WiSe 2016/17

Fallstudien I
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Advanced seminar for degree candidates

SuSe 2016

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Seminar: Biostatistik
Seminar: Textmining
Advanced seminar for degree candidates

WiSe 2015/16

Lecture: Statistische Methoden in der Genetik II (Bioinformatik)
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Advanced seminar for degree candidates

SuSe 2015

Fallstudien I
Fallstudien II (external)
Advanced seminar for degree candidates

SuSe 2014

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Seminar: Statistik in der Genetik
Seminar: Modellwahl
Advanced seminar for degree candidates

WiSe 2013/14

Lecture: Statistische Methoden in der Genetik II (Bioinformatik)
Lecture: Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker
Advanced seminar for degree candidates

SuSe 2013

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Advanced seminar for degree candidates

WiSe 2012/13

Lecture: Multivariate Verfahren
Seminar: Angewandte Biostatistik mit R
Advanced seminar for degree candidates
Lecture: Genetische Netzwerke (M. Grzegorczyk)

SuSe 2012

Lecture: Klinische Studien
Lecture: Datenanalyse mit SAS
Advanced seminar for degree candidates

WiSe 2011/12

Fallstudien I
Seminar: Klinische Studien
Advanced seminar for degree candidates

SuSe 2011

Lecture: Statistische Methoden in der Bioinformatik
Lecture: Datenanalyse mit SAS
Block course: Von der Survivalfunktion bis zu hochdimensionalen Daten
Advanced seminar for degree candidates

WiSe 2010/11

Lecture: Klinische Studien
Lecture: Multivariate Verfahren
Block course: Praktische Analyse von Microarray-Daten
Advanced seminar for degree candidates

SuSe 2010

Lecture: Genetische Netzwerke
Block course: Überlebenszeitanalyse mit R und SAS
Advanced seminar for degree candidates

WiSe 2009/10

Lecture: Klinische Studien
Seminar: Modellwahlkriterien
Advanced seminar for degree candidates

SuSe 2009

Lecture: Statistische Methoden in der Bioinformatik
Lecture: Genetische Netzwerke
Seminar: Bioinformatik
Advanced seminar for degree candidates

WiSe 2008/09

Lecture: Klinische Studien
Lecture: Multivariate Verfahren
Advanced seminar for degree candidates

SuSe 2008

Lecture: Statistische Methoden in der Bioinformatik
Seminar: Bioinformatik
Fallstudien II
Advanced seminar for degree candidates

WiSe 2007/08

Lecture: Klinische Studien
Advanced seminar for degree candidates

SuSe 2007

Lecture: Statistische Lernverfahren
Seminar: Überlebenszeitanalyse
Advanced seminar for degree candidates