Scheduled Courses in the Winter Semester 2020/2021

General Information

Application/Registration:PORTA

Scripts and Documents:Stud.IP

You will have access to the documents in Stud.IP within 36 hours after registration for the lectures in PORTA. If any problems occur, please contact us!

You will find further information on all lectures in PORTA!

Examination Regulations for the Master Program Data Science: PO MA DS

 



IMPORTANT NEWS - Registration for Examinations and Lectures in PORTA

New General Examination Regulations have entered into force recently!

These regulations prescribe that all students have to register for lectures  AS WELL AS for examinations in PORTA-System at Trier University.

Please note that these regulations are also applicable for lectures which are offered as video conferences from Berlin and Bamberg University! In these cases you have to enroll both in PORTA for lecture and examination and to register (mostly per mail) for the course and the exam at the external university.
ERASMUS-Students or other international student who cannot register to PORTA have to sign in in our secretary's office for all examinations! In case of video conferences, please contact the external university as well as our chair!

Please consider these rules carefully, as otherwise you might cause problems with the approval of your achieved grades.

You will find registration periods for the lectures right below this note as well as on the PORTA start page. In case you fail to register in PORTA for a lecture (although you have carefully observed the rules), please contact us per mail to statistik@uni-trier.de and tell us your exact course of studies including your current examination regulations (PO) as well as the exact module name for which you wish the lecture to be credited!

Registration periods for the examinations will be provided by the Hochschulprüfungsamt (examination office).


Registration Periods for Master Courses!

Dear Students,

please take care of the registration periods for our Master courses:

13.07.2020 - 19.07.2020

24.07.2020 - 28.07.2020

07.10.2020 - 14.10.2020

23.10.2020 - 28.10.2020

09.11.2020 - 15.11.2020

14.12.2020 - 20.12.2020


[DIGITAL!] Monte Carlo Simulation Methods (Data Science)

Course Number:Lecture: 14402926
Lecturer:Dr. habil. Jan Pablo Burgard
Time:

Lecture: Monday, 14:00 - 16:00
Tutorial: Monday, 16:00 - 18:00

Location:[C 304, Building C]
Start Date:2/11/2020
Classification:MA4DSC014 - Monte Carlo Simulation Methods (M.Sc. Data Science)
Note:

Please make sure that you register for the correct lecture in PORTA as they differ depending
on your courses of study (please refer to the course number)!

This lecture is offered as a video conference and transferred to Berlin and Bamberg.


[DIGITAL!] Statistical Programming with R

Course Number: 14402818
Lecturer:Dr. Florian Ertz
Time:Friday, 14:00 - 18:00
Location:[C 106d (PC pool in the library)]
Start Date:6/11/2020
Note:This programming course is MANDATORY for
students visiting the lecture "Monte-Carlo Simulation Methods" (M.Sc. Survey Statistics, M.Sc. Applied Statistics) and for
students visiting the lecture "Elements of Statistics" (M.Sc. Data Science).


[DIGITAL!] Elements of Statistics (Data Science)

Course Number:14402917
Lecturer:Dr. Florian Ertz
Time:Thursday, 14:00 - 18:00
Location:[B 121 / C 360]
Start Date:5/11/2020
For updates:

Please check your university e-mail address as well as our announcements on this website regularly.

Classification:MA4DSC010 Elements of Statistics (M.Sc. Data Science)

[DIGITAL!] Introduction to Data Science

Course Number:14402916
Lecturer:Dr. habil. Jan Pablo Burgard
Prof. Dr. Ralf Schenkel (Informatics)
Prof. Dr. Volker Schulz (Mathematics)
Time:Friday, 10:00 - 14:00
Location:HS 10 (HS 12), Building E
Start Date:6/11/2020
For updates:

Please check your university e-mail address as well as our announcements on this website regularly.

Classification:

MA4DSC001 Introduction to Data Science (M.Sc. Data Science)
MA4AST1016 Introduction to Data Science (M.Sc. Applied Statistics)


[DIGITAL/PRÄSENZ!] Data Science Research Case Studies

Course Number:14402930
Lecturer:Christopher Caratiola
Time:Tuesday, 10:00 -12:00
Location:B 22, HS 3 - dates of attendance will be communicated
Start Date:3/11/2020
Classification:

MA4DSC006 - Research Case Studies