Syllabus

Title
4460 Mathematical Methods - Financial Mathematics
Instructors
Univ.Prof. Dipl.Wirtsch.-Math.Dr. Birgit Rudloff
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
04/22/22 to 04/29/22
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 05/02/22 09:00 AM - 11:30 AM TC.4.14
Wednesday 05/04/22 09:00 AM - 11:00 AM TC.4.12
Monday 05/16/22 09:00 AM - 11:00 AM TC.4.14
Wednesday 05/18/22 09:00 AM - 11:00 AM TC.4.14
Monday 05/23/22 09:00 AM - 11:00 AM TC.4.14
Wednesday 05/25/22 09:00 AM - 11:00 AM TC.4.18
Monday 05/30/22 09:00 AM - 11:00 AM TC.4.14
Wednesday 06/08/22 09:00 AM - 11:00 AM TC.4.14
Monday 06/13/22 09:00 AM - 11:00 AM TC.4.14
Wednesday 06/15/22 09:00 AM - 11:00 AM TC.4.14
Wednesday 06/22/22 09:00 AM - 12:00 PM TC.3.03
Contents
The course covers the following topics:
  • Discrete probability: basic concepts and elementary models, conditional expectation, martingales
  • The binomial asset pricing model
Learning outcomes

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
Attendance requirements

Since this is a course with an immanent examination character (PI), attendance is mandatory. Students can miss two units without excuse, absenteeism in further units must be excused / justified by email.

Homework solutions will be presented in class, up to twice not being present when randomly chosen to present homework is acceptable.
Teaching/learning method(s)
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.
Assessment
  • 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%

 

Prerequisites for participation and waiting lists
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.
Readings

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Recommended previous knowledge and skills

Availability of lecturer(s)

birgit.rudloff@wu.ac.at

Other
Course Readings:The material will be made available at Learn@WU.
Last edited: 2022-02-16



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