Scheduled Courses in the Summer Semester 2020

Corona-Virus! Wichtige Information - Sommersemester 2020! Important Notice - Summer Semester 2020!

Liebe Studierende,

bitte melden Sie sich unbedingt baldmöglichst in PORTA zu unseren Vorlesungen sowie zu unseren Tutorien und Übungen an! Nur so können wir Sie direkt und schnell informieren, sobald Details zu einer möglichen Durchführung von Veranstaltungen bekannt sind.

Dear Students,

please urgently register to all lectures of your interest as well as to tutorials in PORTA system! This will be most likely the only way to inform you quickly, once we have details about possible procedures for the different lectures.


General Information

Terms of Application: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 Survey Statistics:PO MA SUS


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 Universities! 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 statistikuni-trierde 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 Period for Master Courses!

Dear Students,

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

  • 10.02.2020 - 16.02.2020
  • 21.02.2020 - 25.02.2020
  • 12.03.2020 - 17.03.2020
  • 26.03.2020 - 01.04.2020
  • 13.04.2020 - 19.04.2020
  • 25.05.2020 - 31.05.2020

Emos Core Module

Course Number:14402932
Lecturer :Dr. habil. Jan Pablo Burgard
Time:Monday, 8:00 - 10:00
Location:C 304
Start Date:6/04/2020 (tbd)
Classification:MA4AST1015 Emos Core Module (MSc Applied Statistics)

Introduction to Bayes Statistics

Course Number:14402736
Lecturer:Dr. Florian Meinfelder, Doris Stingl (Bamberg University)
Time:Monday, 10:00 - 14:00
Location:C 304
Start Date:20/04/2020 (Lecture)
Classification:

MA4SUS2007 Introduction to Bayes Statistics (MSc Survey Statistics)
MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1009-13 Specialisation Module Survey Statistics 1-5 (MSc (1F) Applied Statistics)

Note:Video Conference held at Bamberg University

Variance Estimation

Course Number:14402824
Lecturer:Prof. Dr. Ralf Münnich
Time:Monday, 14:00 - 16:00 (18:00)
Location:C 304
Start Date:20/04/2020
Classification:MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1009-13 Specialisation Module Survey Statistics 1-5 (MSc (1F) Applied Statistics)
MA4SUS2006 - Variance Estimation (MSc Survey Statistics)
MA4SUS002 - Survey Statistics: Vertiefung (MSc Survey Statistics)
Note:Video Conference from Trier to Berlin and Bamberg

Multivariate Statistics

Course Number:14402840
Lecturer:

Dr. habil. Jan Pablo Burgard (lecture)
Laura Güdemann (tutorial)

Time:

Tuesday, 08:00 - 12:00 (lecture)
Wednesday, 12:00 - 14:00 and
NEW! Friday, 16:00 - 18:00 (tutorial) NEW!

Location:C 304
Start Date:7/04/2020
Classification:

MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1003-4 General Statistics 1/2 (MSc (1F) Applied Statistics)
MA4SUS2017 - Multivariate Statistics (MSc Survey Statistics)
MA4SUS005 - Survey Statistics: Quantitative Methoden (MSc Survey Statistics)


Use of Non-Samling Data (Statistical Methods of Data Science Part 1)

Course Number:14402912
Lecturer:

Prof. Dr. Ralf Münnich
Dr. habil. Jan Pablo Burgard

Time:

Friday, 08:00 - 12:00

Location:C 304 (HS 5), tbd
Start Date:17/04/2020
Classification:

MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1009-13 Specialisation Module Survey Statistics 1-5 (MSc (1F) Applied Statistics)
MA4SUS2026 - Use of Non-Sampling Data (MSc Survey Statistics)


Statistical Literacy

Course Number:14402931
Lecturer:Dr. Florian Ertz
Time:Friday, 12:00 - 16:00
Location:C 304 (C 4)
Start Date:17/04/2020
Classification:MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1003-4 General Statistics 1/2 (MSc (1F) Applied Statistics)
MA4AST1018  Specialisation Module in Data Science (MSc (1F) Applied Statistics)
MA4SUS2028 Statistical Literacy (MSc (1F) Survey Statistics)

Statistical Disclosure Control

Course Number:14402924
Lecturer:Prof. Dr. Timo Schmid
Time:

Block course
29./30.04.2020: 08:00 - 18:00
12.05.2020: 15:00 - 20:00

13./14.05.2020: 10:00 - 20:00

Location:to be communicated (probably C 432)
Classification:MA4AST1005  Application (MSc (1F) Applied Statistics)
MA4AST1009-13 Specialisation Module Survey Statistics 1-5 (MSc (1F) Applied Statistics)
MA4SUS2011 Statistical Disclosure Control (MSc Survey Statistics)
Note:Video Conference held at Berlin University

Postgraduate and Research Colloquium M.Sc. Survey Statistics/Applied Statistics

Course Number:14402753
Lecturer:Prof. Dr. Ralf Münnich
Time:Wednesday, 08:00 - 12:00
Start Date:to be communicated
Location:C 304
Classification:This course is intended for Master students and postgraduates.