Syllabus
Title
4620 Mathematical Methods 2
Instructors
Univ.Prof. Dipl.Wirtsch.-Math.Dr. Birgit Rudloff
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
03/15/19 to 04/27/19
Registration via LPIS
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day | Date | Time | Room |
---|---|---|---|
Tuesday | 04/30/19 | 09:00 AM - 11:00 AM | TC.4.14 |
Thursday | 05/02/19 | 09:00 AM - 11:00 AM | TC.4.18 |
Tuesday | 05/07/19 | 08:30 AM - 11:00 AM | TC.3.06 |
Thursday | 05/09/19 | 09:00 AM - 11:00 AM | TC.5.12 |
Tuesday | 05/14/19 | 08:30 AM - 11:00 AM | TC.5.12 |
Thursday | 05/16/19 | 08:30 AM - 10:30 AM | TC.5.04 |
Tuesday | 05/21/19 | 08:30 AM - 11:00 AM | TC.5.12 |
Thursday | 05/23/19 | 09:00 AM - 11:00 AM | TC.5.12 |
Tuesday | 05/28/19 | 08:30 AM - 11:00 AM | TC.5.12 |
Thursday | 06/13/19 | 08:45 AM - 11:15 AM | TC.4.03 |
The course covers the following topics:
- Discrete probability: basic concepts and elementary models, conditional expectation, martingales
- The binomial asset pricing model
After completing this class the student will have the ability to:
- describe and apply the basic concepts of discrete probability
- describe and apply the binomial asset pricing model
Students should be present in class. Homework solutions will be presented in class, up to twice not being present when randomly chosen to present homework is acceptable.
The class is mainly taught as a combination of lectures and exercises with homework assignments. Students present their solutions which will be discussed in the group.The course also serves as a preparation for some of the mathematics lectures of the Master in Quantitative Finance curriculum.
- 2 written tests (midterm weights 30%, final weights 40% of the final grade)
- homework assignments (30% of the final grade) , students will be asked to present their solutions in the class, presentation of the solutions is also counted towards the grade
Grading key:
1: >= 86%
2: >= 74%
3: >= 62%
4: >= 50%
5: < 50%
Having participated in the course "Mathematical Methods 1 -- Mathematische Grundlagen" is an advantage, but it is NOT a prerequisite for this course. The materials from "Mathematical Methods 1 -- Mathematische Grundlagen" will be made available.
Last edited: 2018-10-02
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