105.628 Econometrics for Business Informatics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to fit a linear regression model for a given data set and in this context to understand corresponding software output and to test statistical hypothesis.

Subject of course

Introduction to econometric models and methods. Linear regression and least-squares estimation, selected applied problems.

Teaching methods

Weekly alternating lecture and exercise sessions.

Mode of examination

Immanent

Additional information

The course language is English. The course consists of a lecture and an excercise part which will roughly alternate weekly. There will be 3 different groups for the exercise part, registration is through TISS. The homework problems for the exercise sessions should be marked in TUWEL. The course starts for all students on Wednesday, March 4 at 2.00pm in FH 8 Nöbauer HS with the lecture section. For further information, please see the course syllabus (under "Documents").

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0004.03.2020 - 11.03.2020FH 8 Nöbauer HS - MATH Econometrics for Business Informatics
Wed14:00 - 16:0011.03.2020Sem.R. DB gelb 03 Econometrics for Business Informatics
Wed14:00 - 16:0011.03.2020Sem.R. DB gelb 09 Econometrics for Business Informatics
Wed14:00 - 16:0022.04.2020 - 24.06.2020 Econometrics for Business Informatics, distance learning
Econometrics for Business Informatics - Single appointments
DayDateTimeLocationDescription
Wed04.03.202014:00 - 16:00FH 8 Nöbauer HS - MATH Econometrics for Business Informatics
Wed11.03.202014:00 - 16:00Sem.R. DB gelb 09 Econometrics for Business Informatics
Wed11.03.202014:00 - 16:00Sem.R. DB gelb 03 Econometrics for Business Informatics
Wed11.03.202014:00 - 16:00FH 8 Nöbauer HS - MATH Econometrics for Business Informatics
Wed22.04.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed29.04.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed06.05.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed13.05.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed20.05.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed27.05.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed03.06.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed10.06.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed17.06.202014:00 - 16:00 Econometrics for Business Informatics, distance learning
Wed24.06.202014:00 - 16:00 Econometrics for Business Informatics, distance learning

Examination modalities

Students have to prepare exercise problems and pass a midterm and a final exam.

Course registration

Use Group Registration to register.

Group Registration

GroupRegistration FromTo
Exercise Section Group 130.01.2020 17:0008.03.2020 23:59
Exercise Section Group 230.01.2020 17:0008.03.2020 23:59
Exercise Section Group 330.01.2020 17:0008.03.2020 23:59

Curricula

Study CodeSemesterPrecon.Info
066 926 Business Informatics

Literature

  • Wooldridge (2013) Introductory Econometric: A Modern Approach.
  • Ruud (2000) An Introduction to Classical Econometric Theory.
  • Verbeek (2012) A Guide to Modern Econometrics.
  • Greene (2011) Econometric Analysis.
  • Kleiber & Zeileis (2008) Applied Econometrics in R.

Previous knowledge

Mathematics (especially linear algebra) and statistics at bachelor level.

Language

English