Scheduled Courses in the Winter Semester 2019/2020

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 Survey Statistics:  PO MA SUS

Examination Regulations for the Master Program Applied Statistics: PO MA AST (coming soon)


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 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.

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 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


Statistical Analysis of Incomplete Data (Statistische Analyse unvollständiger Daten)

Course Number:14402816
Lecturer:Dr. Florian Meinfelder, Bamberg
Time:Monday, 10:00 -14:00
Location:C 304, Building C
Start Date:28/10/2019 (Lecture)
Classification:

MA4SUS2008 - Statistical Analysis of Incomplete Data (M.Sc. Survey Statistics)
MA4SUS004 - Survey Statistics: Spezialisierung
MA4SUS002 - Survey Statistics: Vertiefung
MA4AST1009/1010/1011/1012/1013/1014 -
Applied Statistics, Specialisation Module - Survey Statistics #1 - #5  (M.Sc. Applied Statistics)

Note:Video Conference held at Bamberg University

Monte Carlo Simulation Methods

Course Number:Lecture: 14402739
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:MA4SUS2003 - Monte Carlo Simulation Methods (M.Sc. Survey Statistics)
MA4SUS001 - Survey Statistics: Basis
MA4AST1002 - Monte Carlo Simulation Methods (M.Sc. Applied Statistics)
 
Note:

A separate programming course (Statistical Programming with R) is a MANDATORY part
of this lecture. You have to participate in this programming course in order to achieve credit points
for this lecture (Prüfungsrelevante Studienleistung).
For the schedule of the programming course see its overview on this website.

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

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)!

 

Elements of Statistics and Econometrics (Elemente der Statistik und Ökonometrie)

Course Number:Lecture: 14402783
Tutorial: 14402782
Lecturer:Dr. habil. Jan Pablo Burgard (Lecture)
N.N. (Tutorial)
Time:Tuesday, 08:00 - 12:00 (Lecture)
Thursday, 10:00 - 12:00 (Tutorial)
Location:C 304, Building C
Start Date:29/10/2019
Classification:MA4SUS2002 - Elements of Statistics and Econometrics (M.Sc. Survey Statistics)
MA4SUS003 - Survey Statistics: Statistik
MA4SUS005 - Survey Statistics: Quantitative Methoden
MA4AST1001 - Elements of Statistics and Econometrics (M.Sc. Applied Statistics)

Survey Sampling (Stichprobenverfahren)

Course Number:14402819
Lecturer:Prof. Dr. Ralf Münnich (Lecture)
Dr. Florian Ertz (Tutorial)
Time:Tuesday, 14:00 - 16:00 (Lecture)
Tuesday, 16:00 - 18:00 (Tutorial; the dates will be communicated in the lecture)
Location:C 304, Building C
Start Date:29/10/2019
Classification:MA4SUS2001 - Survey Sampling (M.Sc. Survey Statistics)
MA4SUS001 - Survey Statistics: Basis
MA4AST1008 - Survey Sampling (M.Sc. Applied Statistics)
Note:This lecture is offered as a video conference and transferred to Berlin and Bamberg.

Modern Methods in Survey Statistics/Indicators of Economic and Social Statistics - Poverty Mapping (Armutsindikatoren und ihre Schätzung)

IMPORTANT:Poverty Mapping is a module within our module groups "Indicators of Economic and Social Statistics" as well as "Modern Methods in Survey Statistics". (M.Sc. Survey Statistics). So please choose your suitable module group when registering for the lecture in PORTA! 
In case of our new Master program Applied Statistics, please choose the required specialisation module!
Course Number:14402882
Lecturer:Dr. Natalia Rojas-Perilla, Berlin
Timetable:Wednesday, 12:00 - 16:00
Location:C 304, Building C
Start Date:30/10/2019

Classification:

MA4SUS2015 - Modern Methods in Survey Statistics
MA4SUS2010 - Indicators of Economic and Social Statistics
MA4AST1009/1010/1011/1012/1013/1014 - Applied Statistics,
Specialisation Module - Survey Statistics #1 - #5

Note:

Video Conference held at Berlin University


Statistical Programming with R

Course Number: 14402818
Lecturer:Dr. Florian Ertz
Time:see schedule (link)
Location:C 106d (PC pool in the library)
Start Date:Wednesday, 23/10/2019
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" (refer to M.Sc. Data Science).

Research Project

Course Number:14402821
Lecturer:N.N.
Laura Güdemann
Time:Wednesday, 10:00 -12:00
Location:C 304, Building C
Start Date:to be determined
Classification:

MA4SUS2004 - Research Project (M.Sc. Survey Statistics)
MA4SUS008 - Survey Statistics: Forschungsprojekt
MA4AST1006 - Research Project (M.Sc. Applied Statistics)


Research Colloquium M.Sc. Survey Statistics

Course Number:14402753
Lecturer:Prof. Dr. Ralf Münnich
Time:Wednesday, 08:00 - 10:00
Start Date:to be determined
Location:C 304, Building C
Classification:This is a colloquium for master students in the master programmes in Applied Statistics and in Data
Science as well as for Statistics Ph.D. candidates