Frau Mariya Afonina: Lehre

Veranstaltungen aus den letzten Semestern:

WiSe 2023/2024

Belegnr	Lehrende/r	Thema	Art	Termine	Mein eKVV
312212	Zaharieva, Afonina	Übung zur Arbeitsmarktökonomik	Ü	Mo 16-18 (14-täglich) in T2-226 [23.10.-22.12.2023] Mo 16-18 in T2-226 [08.01.2024] Mo 16-18 in T2-226 [22.01.2024]
314080	Afonina	Praktische Übung "Efficient Data Management in Stata" This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses. Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.	S	Di 14-16 in U4-120 [09.10.2023-02.02.2024]

Belegnr	Lehrende/r	Thema	Art	Termine	Mein eKVV
312212	Afonina	Übung zur Arbeitsmarktökonomik	Ü	Mo 16-18 (14-täglich) in X-E0-218 [31.10.2022-03.02.2023]
314080	Afonina	Praktische Übung "Efficient Data Management in Stata" This course covers the process of efficiently working with STATA from the very beginning, i.e., from getting used to the program and its graphical interface to setting up a real-life (automated) workflow making the data ready for further analysis. Moreover, it will also cover descriptive data analysis as well as several post-estimation topics. The course is hands-on, thus each topic is accompanied by several exercises. At the end of the course, participants should be able to perform a full procedure of data cleaning and preliminary analysis in STATA (including data visualization) efficiently and be ready to take part in the other applied courses. Prerequisites: some prior knowledge of STATA or other software would be helpful, but is not required.	S	Mi 16-18 in U4-120 [10.10.2022-03.02.2023] Fr 16-18 in U4-120 [28.10.2022]