Sovellettu matematiikka: Todennäköisyyslaskenta (3 cr)
Code: TTZM0320-0K0V1
General information
- Timing
-
01.01.2020 - 31.07.2020
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Teaching languages
- Finnish
- Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
- Teachers
- Pekka Varis
- Groups
-
TTV18SMTieto- ja viestintätekniikka
-
TTV18S3Tieto- ja viestintätekniikka
-
TTV18S2Tieto- ja viestintätekniikka
-
TTV17S5Tieto- ja viestintätekniikka
-
TTV17S2Tieto- ja viestintätekniikka
-
TTV17S1Tieto- ja viestintätekniikka
- Course
- TTZM0320
Evaluation scale
Pass/Fail
Objective
The student understands the concept of probability as a measure of uncertainty. They have a view how this measure can be applied to the random real-world phenomena and statistical analysis.
Content
Random phenomena and the concept of probability. The conditional probability and independency, Bayes’ rule. The random variable, binomial-, Poisson- and normal distribution, the central limit theorem. A review of statistical analysis. Application examples.
Materials
Lecture handout and exercises in Optima.
Completion alternatives
The items of assessment affecting the grade and their weighting in percentages of the grade. Exam 80-100%Exercise points 10%
Student workload
o lectures 39 ho independent study 42 h
Assessment criteria, satisfactory (1)
Pass: The student shows in the exam that they understand the concept of probability and is able to apply it to random real-life phenomena and statistical analysis.
The assessment is based on exam and exercises.
Assessment criteria, approved/failed
Pass: The student shows in the exam that they understand the concept of probability and is able to apply it to random real-life phenomena and statistical analysis. The assessment is based on exam and exercises.
Qualifications
Basic skills of algebra and analysis, integral