6 ECTS credits
180 h study time

Offer 1 with catalog number 1015199BNR for all students in the 2nd semester at a (B) Bachelor - advanced level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Registration for “Probability Theory” is allowed if one has succesfully accomplished “Discrete Mathematics”and is succesfully registered for or has succesfully accomplished "Analyse en Topologie in metrische ruimten".
Taught in
Dutch
Faculty
Faculty of Science and Bio-engineering Sciences
Department
Mathematics
Educational team
Uwe Einmahl (course titular)
Activities and contact hours

26 contact hours Lecture
26 contact hours Seminar, Exercises or Practicals
Course Content
1. Probability spaces
2. Random variables and distributions
3. Random vectors and distributions
4. Expectation
5. Some important limit theorems
Course material
Digital course material (Required) : Kanstheorie, Syllabus
Handbook (Recommended) : A first course in probability, Ross, BIB
Handbook (Recommended) : Stochastics, Georgii, BIB
Additional info

none

Learning Outcomes

General competencies

The student knows important concepts of probability.

The student can solve exercises in this area

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • Examen with a relative weight of 100 which comprises 100% of the final mark.

Additional info regarding evaluation

The final examination consists of two parts:
1. exercises (50%)
2. theory (50%)

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Bachelor of Physics and Astronomy: Default track (only offered in Dutch)
Bachelor of Mathematics and Data Science: Standaard traject (only offered in Dutch)