Mathematics BSc
Course description
2013.

Applied module: Probability models
Hours
lect+pc
Credits
lect+pc
Assessment Specialization Course code
lect/pc
Semester Status
0 + 3 0 + 5 term grade applied math. mm1c2mv6a 6 optional
Strong Weak Prerequisites
Practice class
Strong:
Weak:
Remarks
  • Requirements: Every student chooses an applied statistical or probability project, works on it, and presents his or her results in a time limit of 30-45 minutes.
Syllabus designed by:
Literature
Depends on the projects chosen by the students.
    Syllabus
      Typical examples:
    • Psychometric tests and their evaluation (Rasch model and variants).
    • Concentration: Lorenz curve. Gini coefficient: estimation and interpretation.
    • Markov chain Monte Carlo: theory and applications.
    • Models for shuffling a deck of cards.
    • Paradoxes in probability theory.
    • Paper helicopter experiment (application of the analysis of variance).
    • Loglinear models and applications.