MM506: Probability theory I (5 ECTS)
STADS: 13000601
Level
Bachelor course
Teaching period
Third quarter (Elective for Scient. students).
Third quarter on third academic year (Compulsory for Mat.Øk. students).
Teacher responsible
No responsible teachers found, contact the department if necessary
Timetable
Group |
Type |
Day |
Time |
Classroom |
Weeks |
Comment |
Common |
I |
Tuesday |
08-10 |
U53 |
05 |
|
Common |
I |
Tuesday |
08-10 |
U48 |
06-11 |
|
Common |
I |
Thursday |
12-14 |
U2 |
05-09, 11 |
|
S1 |
TE |
Monday |
10-12 |
U49d |
06-11 |
|
S1 |
TE |
Friday |
08-10 |
U17 |
05-11 |
|
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Comment:
Ansvarlig lærer: Magdalena Musat, postdoc Tel: 6550 2316 email: musat@imada.sdu.dk
Prerequisites:
None
Academic preconditions:
The students must know contents of the course MM517.
Course introductionTo give the students a solid introduction to the mathematical treatment of probability theory based on abstract measure- and integration theory. The course presents fundamental elements of probability theory as it evolved during the twentieth century.
Competencies:
Probability theory is the mathematical foundation for theoretical statistics, and it has also found numerous applications in other branches of mathematics, e.g. functional analysis.
Having completed the course successfully, the students can be expected to
• have a fundamental understanding of the mathematical formulation of stochastic phenomena.
• be able to establish simple stochastic models for various phenomena observed in nature and society.
• have experience in performing basic probability calculations.
• be prepared for advanced courses in probability theory and its applications in both applied math. (mathematical finance, statistics etc.) and in pure math. (Banach spaces, operator algebras etc.).
Expected learning outcomeSubject overview1. The mathematical description of a stochastic experiment
2. Distributions on the positive integers.
3. Distributions on the reals.
4. Multi-dimensional observations: joint and marginal distributions.
5. Moments, mean and standard deviation.
6. The characteristic function.
7. Weak convergence of probability measures.
LiteratureMeddeles ved kursets start.
Syllabus
See syllabus.
Website
This course uses
e-learn (blackboard).
Prerequisites for participating in the exam
None
Assessment and marking:
(a) A number of mandatory assignments during the course. These assignments must be passed in order to take the exam.
(b) A 30 minutes oral exam. External examiner, grades according to the 13-point marking scale.
Examination only when the course has been taught. Examination in opposition terms only after acceptance from the Study board.
Expected working hours
The teaching method is based on three phase model.
(a) Forelæsninger (25 timer).
(b) Eksaminatorier (25 timer).
Educational activities
Language
No recorded information about the language used in the course.
Course enrollment
See deadline of enrolment.
Tuition fees for single courses
See fees for single courses.