NMAK11003U Advanced Probability Theory 1 (VidSand1)
MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics
MSc Programme in Mathematics-Economics
MSc Programme in Statistics
MSc Programme in Mathematics with a minor subject
- Sequences of random variables, almost sure convergence, Kolmogorov's 0-1 law.
- The strong law of large numbers.
- Weak convergence of probability measures. Characteristic functions.
- The central limit theorem. Triangular arrays and Lindebergs condition. The multivariate central limit theorem.
- The ergodic theorem.
- Fundamental convergence concepts and results in probability theory.
Skills: Ability to
- use the results obtained in the course to verify almost sure convergence or convergence in law of a sequence of random variables.
- verify conditions for the central limit theorem to hold.
- translate between sequences of random variables and iterative compositions of maps.
Competences: Ability to
- formulate and prove probabilistic results on limits of an infinite sequence of random variables.
- discuss the differences between the convergence concepts.
Academic qualifications equivalent to a BSc degree is recommended.
- Theory exercises
Written feedback in the form of comments to the compulsory
Oral feedback during exercise classes, as a response to the
contribution of the students to the solution process of the
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- 7,5 ECTS
- Type of assessment
- Written examination, 4 hours under invigilation
- Type of assessment details
- Skriftlig prøve
- Exam registration requirements
Approval of two assignments during the course is required to register for the exam.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
Same as ordinary exam.
If the compulsory assignments were not approved before the ordinary exam they must be (re)submitted. They must be approved at the latest three weeks before the beginning of the re-exam week.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
- Course code
- 7,5 ECTS
- Full Degree Master
- 1 block
- Block 1
- Course capacity
- No limit
The number of seats may be reduced in the late registration period
- Study Board of Mathematics and Computer Science
- Department of Mathematical Sciences
- Faculty of Science
- Ernst Hansen (8-6b786e6774796b744673677a6e34717b346a71)