Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Tuesday | 10/10/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 10/17/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 10/24/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 10/24/23 | 04:00 PM - 05:30 PM | TC.3.11 |
| Tuesday | 10/31/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 11/07/23 | 01:00 PM - 03:30 PM | TC.5.03 |
| Tuesday | 11/14/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 11/21/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 11/28/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 12/05/23 | 01:00 PM - 03:30 PM | TC.5.02 |
| Tuesday | 12/05/23 | 05:00 PM - 07:00 PM | TC.3.08 |
| Wednesday | 12/06/23 | 05:00 PM - 07:00 PM | TC.4.15 |
| Tuesday | 12/12/23 | 01:00 PM - 03:30 PM | EA.6.026 |
This course is a graduate course intended for Economics Masters students. The course aims at building theoretical statistics starting from the basics of probability theory. In particular, the purpose of this course is to give further knowledge in statistics and probability theory which is essential for econometrics and statistical modeling.
After completing this class successfully the student will have the ability to:
- define, describe and work with the basic concepts in probability and statistics,
- use methods and ideas from probability and statistics to solve scientific problems,
- solve practical problems and interpret the results.
Attendance of at least 80% of the classes is necessary to fulfill the requirements.
The course consists of lectures, accompanying homework assignments and one midterm and the final examinations. The lecture part presents the theoretical concepts. There will be 4 homework assignments related to the subjects covered during the lecture. Students are allowed to hand in the assignments as a group of at most three people.
In order to provide students with the necessary support, weekly tutorials will be offered by a tutor.
- 20 % Homework assignments
- 40 % Midterm Exam
- 40 % Final Exam
The following grading scale applies:
90.00-100.00 - Excellent (1)
77.00-89.00 - Good (2)
64.00-76.00 - Satisfactory (3)
51.00-63.00 - Sufficient (4)
0.00-50.00 - Insufficient (5)
Familiarity with mathematical concepts such as basic set theory, convergence of sequences and functions, continuity, linear maps and matrices, definite and indefinite integral, differentiation, and Taylor polynomial series is expected. Knowledge in basic probability theory and statistics is desirable.
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