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240072 UE MM1 - Methoden der quantitativen Entwicklungsforschung (2020S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 20.02.2020 10:00 bis Di 03.03.2020 09:00
- Abmeldung bis Do 30.04.2020 23:59
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Montag 09.03. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 23.03. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 20.04. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 04.05. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 18.05. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 08.06. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
- Montag 22.06. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
This is an introduction to applied statistics. The main goal of the course is for students to develop the necessary foundations and skills to implement quantitative empirical research independently. Students are required to make "hands-on" applications of the material studied in the course.Due to the current corona crisis, as of the Easter break we will replace physical-presence meetings with webinars where we will discuss the course's materials uploaded in moodle.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students will be marked according to 3 different homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.
Mindestanforderungen und Beurteilungsmaßstab
Students should prove a good command (at least 50%) of each topic of the course.
Prüfungsstoff
There are no exams. The course’s main topics are descriptive statistics, probability, random variables, inference, regression analysis.
Literatur
The course has been prepared withNewbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition. (NCT)Other introductory statistics textbooks are likely to provide very similar treatments.Many examples have been borrowed from the following (rather entertaining) 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.
I. IntroductionWilliam Easterly (2009): "The Anarchy of Success," The New York Review of Books, 56(15), October.II. Descriptive statisticsNCT: Chapters 1 and 2.III. ProbabilityNCT: Chapter 3.IV. Random variablesNCT: Chapters 4-6.V. InferenceNCT: Chapters 7-10.VI. Regression AnalysisNCT: Chapters 11-13.Miguel Niño-Zarazúa (2012): “Quantitative Analysis in Social Sciences: A Brief Introduction for Non-Economists,” manuscript, WIDER.
I. IntroductionWilliam Easterly (2009): "The Anarchy of Success," The New York Review of Books, 56(15), October.II. Descriptive statisticsNCT: Chapters 1 and 2.III. ProbabilityNCT: Chapter 3.IV. Random variablesNCT: Chapters 4-6.V. InferenceNCT: Chapters 7-10.VI. Regression AnalysisNCT: Chapters 11-13.Miguel Niño-Zarazúa (2012): “Quantitative Analysis in Social Sciences: A Brief Introduction for Non-Economists,” manuscript, WIDER.
Zuordnung im Vorlesungsverzeichnis
MM1
Letzte Änderung: Mo 07.09.2020 15:21