Course syllabus

Sannolikhetsteori
Probability Theory

FMSF05, 7,5 credits, G2 (First Cycle)

Valid for: 2020/21
Decided by: PLED I
Date of Decision: 2020-04-03

General Information

Elective for: BME4, F4, F4-fm, I4, Pi4
Language of instruction: The course will be given in English

Aim

The course gives a deaper and extended knowledge of probability theory, useful for further studies in, e.g., extreme value theory and stochastic processes and their applications.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Contents

The course deapens and expands the basic knowledge in probability theory. Central moments in the course are transforms of distribution, conditional expectations, multidimensional normal distribution, and stochastic convergence. Further, the concept of stochastic processes is introduced by a fairly thourough treatment of the properties of the Poisson process.

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Admission

Admission requirements:

The number of participants is limited to: No
The course overlaps following course/s: MASC01

Reading list

Contact and other information

Director of studies: Johan Lindström, studierektor@matstat.lu.se
Course homepage: http://www.maths.lth.se/matstat/kurser/fmsf05/
Further information: The course is also given at the Faculty of Science with the code MASC01.