Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

180206 KU Foundational Econometrics (2021W)

4.00 ECTS (2.00 SWS), SPL 18 - Philosophie
Prüfungsimmanente Lehrveranstaltung
DIGITAL
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 06.10. 17:00 - 18:30 Digital
  • Mittwoch 13.10. 17:00 - 18:30 Digital
  • Mittwoch 20.10. 17:00 - 18:30 Digital
  • Mittwoch 27.10. 17:00 - 18:30 Digital
  • Mittwoch 03.11. 17:00 - 18:30 Digital
  • Mittwoch 10.11. 17:00 - 18:30 Digital
  • Mittwoch 17.11. 17:00 - 18:30 Digital
  • Mittwoch 24.11. 17:00 - 18:30 Digital
  • Mittwoch 01.12. 17:00 - 18:30 Digital
  • Mittwoch 15.12. 17:00 - 18:30 Digital
  • Mittwoch 12.01. 17:00 - 18:30 Digital
  • Mittwoch 19.01. 17:00 - 18:30 Digital
  • Mittwoch 26.01. 17:00 - 18:30 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course will be ran fully online with streamed lectures during the normal lecture times.

The course is a standard introduction to statistics. The material will be taught at an accessible mathematical level.

The course will cover an introductory view of the following topics:
1. Descriptive Statistics (very quickly)
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis

Art der Leistungskontrolle und erlaubte Hilfsmittel

Students will be evaluated on the basis of three different homeworks (20% of the mark each) and a written final exam (40%). Homeworks can be done in groups of max 4 people. The final exam must be individual. Both, homework assignments and the final exam are fully open book, i.e. students can use any materials they seem proper as long as they reference them. The final exam is a take-home exam.

The course grade is obtained from the sum of the exam and problem set grades as follows:
50-69% - 4
70-79% - 3
80-89% - 2
90-100% - 1

Mindestanforderungen und Beurteilungsmaßstab

Very little prior knowledge of probability and statistics is required.

In order to pass, students will have to complete 50% of the maximum homework grade and 50% of the maximum final exam grade.

There is no attendance requirement.

Prüfungsstoff

1. Descriptive Statistics
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis

Literatur

Course Book: Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition. (NCT)

Several examples have been borrowed from the following books:
1. Charles Wheelan (2013): Naked Statistics. Stripping the Dread from the Data, W.W. Norton.
2. Leonard Mlodinow (2008): The Drunkard'S Walk. How Randomess Rules Our Lives, Pantheon Books.
3. Nate Silver (2012): The Signal and the Noise. Why So Many Predictions Fail, But Some Don't, Penguin Books.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:18