Scheduled Courses in the Winter Semester 2019/2020

General Information

Application/Regisstration: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

 


To all students in their first semester in the programmes M.Sc. Applied Statistics and/or M.Sc. Data Science

The course Statistical Programming with R (course number: 14402818) is a mandatory part of the courses Monte Carlo Simulation Methods (M.Sc. Applied Statistics) and Elements of Statistics (M.Sc. Data Science) for students in the first semester in their respective programmes. Accordingly, you have to attend this programming course as well. Please be aware that the course will start in the week before the proper lectures start. The currently planned schedule is as follows:

Wednesday - 23/10/2019 09:00 – 12:00and13:00 – 16:00 C 106d PC pool in the library
Thursday - 24/10/201909:00 - 12:00and13:00 - 16:00C 106dPC pool in the library
Friday - 25/10/201909:00 - 12:00and13:00 - 16:00C 106dPC pool in the library
Thursday - 07/11/201916:00 - 18:00  C 106dPC pool in the library
Friday - 08/11/201914:00 - 18:00  C 106dPC pool in the library
Thursday - 14/11/201916:00 - 18:00  C 106dPC pool in the library
Friday - 15/11/201914:00 - 18:00  C 106dPC pool in the library

The first three dates are fixed. The additional dates might still be subject to modifications.

For students in the M.Sc. Data Science programme taking the course Elements of Statistics: the tutorial for this course starts after the programming course (i.e. not before 21/11/2019).

The Economic and Social Statistics Department wishes you a great start to your studies at Trier University.


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.

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:

08.07.2019 - 14.07.2019

19.07.2019 - 22.07.2019

02.10.2019 - 09.10.2019

18.10.2019 - 23.10.2019

04.11.2019 - 10.11.2019

16.12.2019 - 22.12.2019


Monte Carlo Simulation Methods

Note:there will be no tutorial for "Microsimulation Methods" this week. The lecture will be moved to Thursday (28/11/2019) at 12:00 in C 304 this
week. Accordingly, we do NOT meet on Tuesday (26/11/2019).
Course Number:14402926
Lecturer:Dr. Florian Ertz (Lecture)
Laura Güdemann (Tutorial)
Time:

Lecture: Monday, 14:00 - 18:00
Tutorial: Monday, 16:00 - 18:00 (the schedule will be communicated in the lecture)

Location:C 304, Building C
Start Date:28/10/2019
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.

 

Statistical Programming with R

Course Number: 14402818
Lecturer:Dr. Florian Ertz
Time:see schedule(link)
Location:to be determined
Start Date:to be determined
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).

Microsimulation Methods

 

Lecture and tutorial "Microsimulation Methods"will be changed this week! The lecture is going to take place on Thursday, 14 November 2019, 12 o'clock, in room C 304.

Course Number:3111 (preliminary)
Lecturer:Dr. Florian Ertz (Lecture)
N.N. (Tutorial)
Time:Tuesday, 12:00 - 14:00 (Lecture)
Thursday, 12:00 - 14:00 (Tutorial)
Location:C 304  / C 360
Start Date:29/10/2019
For uptdates:

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

Classification:MA4DSC015 Microsimulation Methods (M.Sc. Data Science)
MA4SUS2022 Application (M.Sc. Survey Statistics)
MA4AST1005 Application (M.Sc. Applied Statistics)

Elements of Statistics (Data Science)

Course Number:14402917
Lecturer:N.N.
Time:Thursday, 14:00 - 18:00 (irregularly)
Location:to be determined
Start Date:31/10/2019
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)

Introduction to Data Science

Course Number:14402916
Lecturer:Dr. 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:8/11/2019
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)


Data Science Research Case Studies

Course Number:14402930
Lecturer:Dr. Jan Pablo Burgard
Laura Güdemann, Christopher Caratiola
Time:Wednesday, 10:00 -12:00
Location:C 304, Building C (alternatively C 432)
Start Date:Wednesday, 30 October, 2019, 10:30 in C 432
Classification:

MA4DSC006 - Research Case Studies