MM544: Probability theory (10 ECTS)
STADS: 13012701
Level
Bachelor course
Teaching period
The course is offered in the autumn semester.
Teacher responsible
Email: hcpetersen@imada.sdu.dk
Timetable
Group |
Type |
Day |
Time |
Classroom |
Weeks |
Comment |
Common |
I |
Tuesday |
08-18 |
IMADA semi |
3 |
|
Common |
I |
Tuesday |
10-12 |
U21 |
36,39 |
|
Common |
I |
Tuesday |
10-12 |
U67 |
37-38,40,46-50 |
|
Common |
I |
Tuesday |
10-12 |
U61 |
41 |
|
Common |
I |
Tuesday |
10-12 |
U17 |
43 |
|
Common |
I |
Tuesday |
10-12 |
U142 |
44-45 |
|
Common |
I |
Wednesday |
12-14 |
U10 |
36-41,43,45-50 |
|
Common |
I |
Wednesday |
12-14 |
U92 |
44 |
|
O1 |
TE |
Thursday |
10-12 |
U62 |
37-41,43-45,47-49 |
|
O1 |
TE |
Friday |
10-12 |
U9 |
46 |
|
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Comment:
Ubegrænset deltagerantal.
Samlæses med MM835
Prerequisites:
None.
Academic preconditions:
Students taking the course are expected to have knowledge of measure and integration theory.
Course introductionThe aim of the course is to enable the student to work in a rigorous way with probability models, which is important in regard to the study of theoretical statistics.
The course builds on the knowledge acquired in the courses MM548, and gives an academic basis for studying the topics stochastic processes and mathematical finance, that are part of the degree.
In relation to the competence profile of the degree it is the explicit focus of the course to:
- Give the competence to handle model building and model calculations
- Give skills to apply arguments and concepts from the basic disciplines in mathematics
- Give knowledge about fundamental mathematical knowledge building, theory and methods
Expected learning outcomeThe learning objectives of the course is that the student demonstrates the ability to:
- reproduce definitions in probability theory within the scope of the course's syllabus
- reproduce results in probability theory, together with their proofs, within the scope of the course's syllabus
- apply the theory to solve problems in probability theory
- relate the results within the scope of the course's syllabus to each other
Subject overviewThe following main topics are contained in the course: Random variables, probability measures, distribution functions, expectation, independence, characteristic functions, the normal and multivariate normal distribution, convergence of random variables, central limit theorems, conditional expectation, martingales.
LiteratureMeddeles ved kursets start.
Website
This course uses
e-learn (blackboard).
Prerequisites for participating in the exam
None
Assessment and marking:
Oral exam. Book and notes may be used during preparation time
before the oral exam. External marking, graded by Danish 7-mark scale. 10 ECTS
Expected working hours
The teaching method is based on three phase model.
Intro phase: 56 hours
Skills training phase: 28 hours, hereof:
- Tutorials: 28 hours
Educational activities
Educational formActivities during the study phase: Studying the course material and preparing the weekly exercises, individually or through group work.
Language
This course is taught in Danish or English, depending on the lecturer. However, if international students participate, the teaching language will always be English.
Course enrollment
See deadline of enrolment.
Tuition fees for single courses
See fees for single courses.