Registration Periods for Master Courses in PORTA!

Dear Students,

please take care of the registration periods for our Master courses - registration in PORTA is only possible within the following periods:

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


Important Information for all students interested in "Statistical Analysis of Incomplete Data" and "Survey Sampling"

Dear students,

for the registration to the ZOOM courses in Winter Semester which are offered from Bamberg University, it is mandatory to

- register in Trier University PORTA system for the lecture

as well as to

- register in Bamberg University virtual campus with your UT mail adress under the following link: Virtual Campus Bamberg

by 27 October 2020.

Only then you will be entered in the VC course and receive invitations to the ZOOM conferences


BACHELOR

[DIGITAL!] Statistik I+II: Repetitorium / E-Tutorium

Veranstaltungsnummer:14402927
Dozent:Dr. Florian Ertz
Termin:Freitag, 10-12 Uhr
Räume:tba
Veranstaltungsbeginn:6.11.2020
Zuordnung:VWL/BWL/Economics and Finance/Soziologie/Sozialwissenschaften Modul Statistik I+II

MASTER courses in alphabetical order

[DIGITAL/PRÄSENZ!] Data Science Research Case Studies

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

MA4DSC006 - Research Case Studies

[DIGITAL!] Elements of Statistics (Data Science)

Course Number:14402917
Lecturer:Dr. Florian Ertz
Time:Thursday, 14:00 - 18:00
Location:[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/PRÄSENZ!] Elements of Statistics and Econometrics (Elemente der Statistik und Ökonometrie)

Course Number:Lecture: 14402783
Tutorial: 14402782
Lecturer:Prof. Dr. Ralf Münnich (Lecture)
Dr. Joscha Krause (Tutorial)
Time:Tuesday, 08:00 - 12:00 (Lecture)
Thursday, 10:00 - 12:00 (Tutorial)
Location:tba (Lecture)
tba [C 304] (Tutorial)
Start Date:3/11/2020
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)

[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:tba
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!]Modern Methods in Statistics

Course Number:14402867
Lecturer:

Dr. Charlotte Articus

Timetable:Tuesday, 12:00 - 14:00
Location:NN
Start Date:3/11/2020
Zuordnung:

MA4AST1003/1004 - Applied Statistics: General Statistics I/II
MA4SUS2020 - Survey Statistics: Modern Methods in Statistics
MA4ECON2024 - Economics: Import Module
MA4ECON2025 - Economics: Module in Elective

[DIGITAL!] 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:4/11/2020

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:

This lecture is offered as a Video Conference held at Berlin University and transferred to Berlin and Trier

[DIGITAL!] Monte Carlo Simulation Methods (Applied Statistics)

Course Number:Lecture: 14402739
Lecturer:Dr. habil. Jan Pablo Burgard
Time:

Lecture: Monday, 14:00 - 18:00

Tutorial: Monday, 16:00 - 18:00

Location:[C 304, Building C]
Start Date:2/11/2020
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
creditpoints 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)!

[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 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:2/11/2020
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:This lecture is offered as a Video Conference held at Bamberg University and transferred to Berlin and Trier

[DIGITAL!] Statistical Programming with R

Course Number: 14402818
Lecturer:Dr. Florian Ertz
Time:Friday, 14:00 - 18:00
Location:tba
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!] Survey Sampling (Stichprobenverfahren)

Course Number:14402819
Lecturer:Sara Bleninger, Bamberg University  (Lecture and Tutorial)
Time:Tuesday, 18:00 - 20:00 (Lecture)
Tuesday, 16:00 - 18:00 (Tutorial; the final times and dates will be communicated in the lecture)
Location:[C 304, Building C]
Start Date:3/11/2020
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 from Bamberg and transferred to Berlin and Trier.

[DIGITAL/PRÄSENZ!] Research Project

Course Number:14402821
Lecturer:Christopher Caratiola
Time:Tuesday, 8:00 -10:00
Dates of attendance will be communicated
Location:tba, [C 304]
Start Date:3/11/2020
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 - 12:00
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