13E082VS - Probability and Statistics
| Course specification | ||||
|---|---|---|---|---|
| Course title | Probability and Statistics | |||
| Acronym | 13E082VS | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Computer Engineering and Informatics, Electronics and Digital Systems, Signals and Systems | |||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | ||||
| The goal | - Introducing students to basics of Probability and Statistics - Enabling students to apply tools and methods of statistics and probability. | |||
| The outcome | A student will be familiar with basic and moderately complex discrete and continuous stochastic models. He/she will be able to apply correct models in real life problems, and to performe related parameter estimation and testing hypotheses. | |||
| Contents | ||||
| Contents of lectures | Introduction and combinatorics. Conditional probability, Bayesian formula. Random variables and random vectors.. Numerical characteristics. Characteristic functions. Limit theorems. Parameter estimation. Hypotheses testing. Conditional distributions. Random numbers and distributions. Monte Carlo methods. | |||
| Contents of exercises | Exercises with example and problem solving. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 2 | 2 | 1 | ||
| Methods of teaching | 30 hours of theoretical lecturing, 30 hours of exercises, 15 hours of discussion related to homework. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 50 | |
| Practical lessons | 0 | Oral examination | 0 | |
| Projects | ||||
| Colloquia | 30 | |||
| Seminars | 20 | |||