Probability and Statistics
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
101MPRS | ZK | 4 | 2P+2C | English |
- Course guarantor:
- Daniela Jarušková
- Lecturer:
- Daniela Jarušková
- Tutor:
- Daniela Jarušková
- Supervisor:
- Department of Mathematics
- Synopsis:
-
The goal is to get a basic knowledge in probability and inferential statistics.
Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.
- Requirements:
-
Basic calculus. (Derivation and integration).
- Syllabus of lectures:
-
Probability. Discrete and continuous random variables. Normal distribution. Asymptotic distribution of a mean. Multivariate distribution. Independence and correlation. Parameter estimation. Hypothesis testing. Simple linear regression.
- Syllabus of tutorials:
-
Excercises follow the lectures. Excel is used to solve the problems.
- Study Objective:
-
The goal is to get a basic knowledge in probability and inferential statistics.
- Study materials:
-
!Jay L. Devore: Probability and statistics for engineering and the sciences. Duxbury, ISBN-13:978-0-538-73352-6
- Note:
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - The course is a part of the following study plans:
-
- Civil Engineering (compulsory elective course)
- Civil Engineering (compulsory elective course)