NMAK11003U  Advanced Probability Theory 1 (VidSand1)

Volume 2019/2020
Education

MSc Programme in Mathematics
MSc Programme in Statistics
MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics-Economy

Content
  • 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.
Learning Outcome

Knowledge:

  • 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.

 

 

Mål- og integralteori (MI)

Academic qualifications equivalent to a BSc degree is recommended.
5 hours of lectures and 3 hours of exercises per week for 7 weeks.
The course is equivalent to Stochastic Processes 2 (NMAB15025U)
Written
Oral
Continuous feedback during the course of the semester

Written feedback in the form of comments to the compulsory
assignements.

Oral feedback during exercise classes, as a response to the
contribution of the students to the solution process of the
exercises.

 

Credit
7,5 ECTS
Type of assessment
Written examination, 4 hours under invigilation
---The course has been selected for ITX exam on Peter Bangs Vej.
Exam registration requirements

Approval of two assignments during the course is required to register for the exam.

Aid
All aids allowed

The University will make computers and power available to students taking written exams with invigilation in the University’s building on Peter Bangs Vej 36 (ITX). These students are therefore not permitted to bring their own computers, tablets or mobile phones. If textbooks and/or notes are permitted, according to the course description, these must be in paper format or on a USB flash drive.

Marking scale
7-point grading scale
Censorship form
External censorship
Re-exam

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 must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

  • Category
  • Hours
  • Lectures
  • 35
  • Theory exercises
  • 21
  • Preparation
  • 147
  • Exam
  • 3
  • Total
  • 206