Warning! The directory is not yet complete and will be amended until the beginning of the term.
240090 UE MM1 - Methods of Quantitative Research in Development Studies (2021W)
Continuous assessment of course work
Labels
ON-SITE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 20.09.2021 09:00 to Fr 01.10.2021 15:00
- Deregistration possible until Su 31.10.2021 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Update 19.11.2021: Following the Rectorate's recommendations, the course is moving from hybrid to online only starting this coming Monday and until December 12th.
Provided technical feasibility, the course will take place in hybrid form in case not all students fit in the class-room due to COVID19 mandated distance measures.FIRST MEETING (OCTOBER 4TH) WILL BE ONLINE ONLY.
-
Monday
04.10.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
11.10.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
18.10.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
25.10.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
08.11.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
15.11.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
22.11.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
29.11.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
06.12.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
13.12.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
10.01.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
17.01.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
24.01.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01 -
Monday
31.01.
09:45 - 11:15
Hybride Lehre
Seminarraum 7, Kolingasse 14-16, OG01
Information
Aims, contents and method of the course
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.
Assessment and permitted materials
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.
Minimum requirements and assessment criteria
Students should prove a good command (at least 50%) of the course’s topics. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; above 80% a 1.
Examination topics
There are no exams. The course’s main topics are descriptive statistics, probability, random variables, inference, regression analysis.
Reading list
The course has been prepared with two textbooks:Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition, (NCT)Shafer and Zhang (2012): Beginning Statistics (legally available online for free), (SZ)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.
Association in the course directory
MM1
Last modified: Fr 12.05.2023 00:20