180092 UK Foundational Econometrics (2019W)
Continuous assessment of course work
Labels
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 Fr 20.09.2019 08:00 to We 02.10.2019 22:00
- Deregistration possible until Th 31.10.2019 12:00
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Monday
07.10.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
14.10.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
21.10.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
28.10.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
04.11.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
11.11.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
18.11.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
25.11.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
02.12.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
09.12.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
16.12.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
13.01.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
20.01.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Monday
27.01.
09:45 - 11:15
Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Students will be evaluated on the basis of three different homeworks (20% of the mark each) and a final exam (40%). All required. Homeworks can be done in groups of max 4 people. The final project must be individual.
Minimum requirements and assessment criteria
Very little prior knowledge of probability and statistics is required.In order to pass, students will have to complete 50% of the course.
Examination topics
1. Descriptive Statistics
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis
Reading list
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.
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
Last modified: Sa 08.07.2023 00:17
1. Descriptive Statistics (very quickly)
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis