course catalogue seda ss 2014

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University of Konstanz Faculty of Law, Economics and Politics Department of Economics University of Konstanz Department of Economics Box 137 78457 Konstanz Germany Tel.: +49 (0)7531 88-4494 Fax: +49 (0)7531 88-5193 E-mail: [email protected] Website: www.wiwi.uni-konstanz.de/ssda Course Catalogue for the Master’s Programme in Social and Economic Data Analysis First Year Summer Semester 2014 Version: 13/05/2014

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Page 1: Course Catalogue SEDA SS 2014

University of Konstanz Faculty of Law, Economics and Politics Department of Economics

University of Konstanz Department of Economics Box 137 78457 Konstanz Germany Tel.: +49 (0)7531 88-4494 Fax: +49 (0)7531 88-5193 E-mail: [email protected]

Website: www.wiwi.uni-konstanz.de/ssda

Course Catalogue

for the

Master’s Programme

in Social and

Economic Data

Analysis

First Year

Summer Semester

2014 Version: 13/05/2014

Page 2: Course Catalogue SEDA SS 2014

- 2 -

Course Advice for Students of the

Master's Programme in Social Science Data Analysis Alexandra Morris Room F 247 Tel.: (07531) 88-4494 Fax: (07531) 88-5193 E-mail: [email protected] Website: www.uni-konstanz.de/ssda Office Hours: Tuesday, Thursday, 10:00 – 12:00 Julian Klotz E-mail: [email protected]

Dates of the Summer Semester 2014 Lectures begin: Tuesday, 22

nd April, 2014

Lectures end: Saturday, 26th

July, 2014

Registration periods of the Department of Economics: Seminar registration period for Winter Semester 2014/15: Tuesday, 24

th June, 2014 – Monday, 30

th June, 2014

Registration period: Tuesday, 24

th June, 2014 – Monday, 30

th June, 2014

Examination period I: Thursday, 17th

July, 2014 – Tuesday, 5th

August, 2014 Registration period: Tuesday, 16

th September – Monday, 22

nd September, 2014

Examination period II: Monday, 6th

October, 2014 – Saturday, 25th

October, 2014

Registration periods of the Department of Politics and Public Administration: Registration period: Thursday, 2

nd May, 2014 – Sunday, 15

th June, 2014

Examination period I: Thursday, 17th

July, 2014 – Tuesday, 29th

, July, 2014 Registration period: Wednesday, 17

th September, 2014 – Monday, 22

nd

September, 2014 Examination period II: Monday, 6

th October, 2014 – Friday, 10

th October, 2014

Exam Registration Periods of the Department of Computer and Information Science Registration: Start of the Semester via StudIS or by the Form for offline

registrations for courses (http://www.informatik.uni-konstanz.de/en/study/examination-

information/examination-dates/) Examination period I: Tuesday, 3

rd June, 2014 – Thursday, 7

th August, 2014

Examination period II: Monday, 6th

October, 2014 – Saturday, 25th

October, 2014

Page 3: Course Catalogue SEDA SS 2014

- 3 -

Exam Registration Periods of the Department of History and Sociology

Registration period: Thursday, 1

st May, 2014 – Sunday, 15

th June, 2014

Exam Registration Periods of the Department of Mathematics and Statistics

Registration: Students are able to apply up to one week before the

exam.

Dates of the Winter Semester 2014/15 Lectures begin: Monday, 20

th October 2014

Lecture-free period: Monday, 22nd

December, 2014 – Tuesday, 6th

January, 2015 Lectures end: Saturday, 14

th February 2014

Page 4: Course Catalogue SEDA SS 2014

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1. Foundations of Data Analysis Courses

Lectures

Econometrics I, 3 + 2 hours, (8 ECTS) W.Pohlmeier Thursday, 8:15-9:45, A 701 Friday, 8:15-9:45, A 701

Tutorial: 7 Tutorials (Theory) 7 Computer tutorials For Time and Room, see http://www.wiwi.uni-konstanz.de/econometrics/teaching/econometrics-i/

Database Systems, 4 + 2 hours (9 ECTS) M. Grossniklaus Monday, 15:15-16:45, A 701 Wednesday, 15:15-16:45, R 513

Tutorial: N.N. Monday, 10:00-11:30. G 530 Monday, 13:30-15:00. G 530 Tuesday, 10:00-11:30. Y 311 Tuesday, 17:00-18:30, G 420

Statistics I (Dept. of Politics and Public Administration), 4 hours (8 ECTS) S. Shikano Tuesday, 13:30-15:00, R 711 Wednesday, 10:00-11:30, R 711

Statistics I (Dept. of Economics), 2 + 2 hours (6 ECTS) R. Brüggemann Friday, 10:00-11:30, Audimax

Tutorial: 12 Tutorials For Time and Room, see http://www.wiwi.uni-konstanz.de/ects/teaching/statistics-i/

Statistics I (Dept. of Sociology) T. Hinz Monday, 15:15-16:45, R 513

Tutorial: For Time and Room, see http://www.soziologie.uni-konstanz.de/professuren/prof-dr-thomas-hinz/lehre/

2. Advanced Methods of Data Analysis Courses

Lectures

Big Data and Scripting, 4 + 2 hours, (8 ECTS) U. Nagel Monday, 13:30-15:30, M 628

Page 5: Course Catalogue SEDA SS 2014

- 5 -

Thursday, 10:00-11:30, F 420

Tutorial: N.N. Friday, 10:00-11:30, F 420 Friday, 13:30-15:00, F 420

Page 6: Course Catalogue SEDA SS 2014

- 5 -

Timetable Foundations of Data Analysis and Advanced Methods of Data Analysis Summer Semester 2014

Time Monday Tuesday Wednesday Thursday Friday

8:15

9:45

Econometrics I (L) / Pohlmeier Econometrics I (L) / Pohlmeier

10:00

11:30

Database Systems (T) / N.N. Database Systems (T) / N.N. Statistics I (L) / Shikano Big Data and Scripting (L) /

Nagel

Statistics I (L) / Brüggemann

Big Data and Scripting (T) / N.N.

11:45

13:15

13:30

15:00

Database Systems (T) / N.N. Statistics I (L) / Shikano Big Data and Scripting (T) / N.N.

15:15

16:45

Database Systems (L) /

Grossniklaus

Big Data and Scripting (L) /

Nagel

Statistics I (L) / Hinz

Database Systems (L) /

Grossniklaus

17:00

18:30

Database Systems (T) / N.N.

L = Lecture, T = Tutorial

Page 7: Course Catalogue SEDA SS 2014

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PREVIEW WINTER SEMESTER 2014/15

1. Foundations of Data Analysis Courses

Algorithm and Data Structures, 4 + 2 hours, (8 ECTS) N.N.

Introduction to Survey Research, 2 + 2 hours, (8 ECTS) N.N.

Mathematics I (Dept. of Economics), 4 + 2 hours (9 ECTS) J. Schropp

Statistics I (Dept. of Psychology), 4 hours (8 ECTS) N.N.

Mathematical Foundations of Computer Science, 4 + 2 hours (9 ECTS) N.N.

Empiricism: Quantitative Methods, 2 + 2 hours (7 ECTS) N.N.

Empirical Research Methods, 4 hours (8 ECTS) N.N.

2. Advanced Methods of Data Analysis Courses

Probability Theory and Statistical Inference, 2 + 2 hours, (8 ECTS) M. Vogt

Research Design I, 2 + 2 hours (9 ECTS) N.N.