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19300-01 - Lecture with practical courses: Random processes: Theory and applications from physics to finance 4 CP

Semester fall semester 2017
Course frequency Every fall sem.
Lecturers Jörg Lehmann (joerg.lehmann@unibas.ch, Assessor)
Content Basics of probability theory; Random processes: General concepts; Markov processes: Master equation, Fokker-Planck equation, stochastic differential equations; Mathematical finance
Learning objectives Basics of the theory of stochastic processes and an overview of selected applications
Bibliography - N. G. van Kampen, Stochastic Processes in Physics and Chemistry, 3rd ed. (North Holland, Amsterdan, 1992).
- C. W. Gardiner, Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences, 2nd ed. (Springer, Berlin, 2007).
- P. Wilmott, S. Howison and J. Dewynne: The Mathematics of Financial Derivatives, A Student Introduction (Cambridge University Press, Cambridge, 1995).

 

Language of instruction German
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Module Specialisation: Physics (Master Physics)
Module Specialisation: Physics (Master Nanosciences)
Vertiefungsfächer Theorie und Vertiefungsfächer Biologie (Master's Studies: Computational Biology and Bioinformatics)
Assessment format continuous assessment
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Departement Physik

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