Probability and Statistics
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| E011022 | Z,ZK | 5 | 3+1 |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Technical Mathematics
- Synopsis:
-
An introductory course in probability and mathematical statistics
- Requirements:
- Syllabus of lectures:
-
Explanation of the term of a probability space, conditional probability, Bayes theorem, random variable, probability distribution and its characteristics, random vector, central limit theorem and the law of large numbers. Statistical inference, random sample, elementary methods of exporatory analysis, testing hypothesis, linear regression analysis.
- Syllabus of tutorials:
-
Explanation of the term of a probability space, conditional probability, Bayes theorem, random variable, probability distribution and its characteristics, random vector, central limit theorem and the law of large numbers. Statistical inference, random sample, elementary methods of exporatory analysis, testing hypothesis, linear regression analysis.
- Study Objective:
-
An introductory course in probability and mathematical statistics
- Study materials:
-
[1] Chase W., Bown F.: General Statistics. John Wiley & Sons, Inc. 1992, 645 pp., ISBN 0-471-55915-6
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: