Study guide of JKU Linz
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KUSSS
Auwea NG
Positionsanzeige
Social Economics
»
Electives in Economics
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Major Elective Methods in Economics
Inhalt
[
971MECOPDVK18
]
KS
KS Programming, Data Management and Visualization
Versionsauswahl
Version
2019W
(*)
Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
4 ECTS
M1 - Master's programme 1. year
Economics
Alexander Ahammer
2 hpw
Johannes Kepler University Linz
Detailed information
Pre-requisites
(*)
Zulassung zum MA Studium
Original study plan
Master's programme Economics 2019W
Objectives
Students learn advanced programming in statistical software (STATA), as well as management and visualization of big data (e.g., administrative data).
Subject
Programming of functions and unique statistical methods; merging and preparing big data sets; cleaning and analysis of data.
Criteria for evaluation
Regular homework assignments and project
Methods
Lectures and presentations
Language
English
Study material
Christopher F. Baum (2009), An Introduction to STATA Programming, Stata Press, College Station, Texas.
Changing subject?
No
On-site course
Maximum number of participants
200
Assignment procedure
Assignment according to priority
