180206 KU Foundational Econometrics (2021W)
Continuous assessment of course work
Labels
REMOTE
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 10.09.2021 09:00 to Th 16.09.2021 10:00
- Registration is open from Fr 24.09.2021 09:00 to Th 30.09.2021 10:00
- Deregistration possible until Sa 23.10.2021 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 06.10. 17:00 - 18:30 Digital
- Wednesday 13.10. 17:00 - 18:30 Digital
- Wednesday 20.10. 17:00 - 18:30 Digital
- Wednesday 27.10. 17:00 - 18:30 Digital
- Wednesday 03.11. 17:00 - 18:30 Digital
- Wednesday 10.11. 17:00 - 18:30 Digital
- Wednesday 17.11. 17:00 - 18:30 Digital
- Wednesday 24.11. 17:00 - 18:30 Digital
- Wednesday 01.12. 17:00 - 18:30 Digital
- Wednesday 15.12. 17:00 - 18:30 Digital
- Wednesday 12.01. 17:00 - 18:30 Digital
- Wednesday 19.01. 17:00 - 18:30 Digital
- Wednesday 26.01. 17:00 - 18:30 Digital
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 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
50-69% - 4
70-79% - 3
80-89% - 2
90-100% - 1
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 maximum homework grade and 50% of the maximum final exam grade.There is no attendance requirement.
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: Fr 12.05.2023 00:18
1. Descriptive Statistics (very quickly)
2. Probability
3. Random Variables
4. Inference
5. Regression Analysis