To content
Department of Statistics
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund

Courses

  • 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
To top of page

Location & approach

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).

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 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.

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.

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".

Campus Lageplan Zum Lageplan