13E082VISR - Probability and Statistics
| Course specification | ||||
|---|---|---|---|---|
| Course title | Probability and Statistics | |||
| Acronym | 13E082VISR | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Computer Engineering and Informatics | |||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 3.0 | Status | elective | |
| Condition | Mathematics 1, Mathematics 2 | |||
| The goal | Introducing students to basic methods of probability theory in discrete and continuous models: combinatory problems, conditional probability, random variables and their numerical characteristics, Laws of Large Numbers and Central Limit Theorem, and basic ideas in mathematical statistics. | |||
| The outcome | Understanding applications of methods of Probability and Statistics in solving problems from real world. Enabling students to solve simple real world problems, applying the methods of Probability and Statistics, determining the correct mathematical model. | |||
| Contents | ||||
| URL to lectures | https://teams.microsoft.com/l/team/19%3ausLcmGO-eGAT0DxlgO3_SzgR-i-FkfUsIzu96KirsCg1%40thread.tacv2/conversations?groupId=8f9d9eea-3dc8-4c46-824f-24d1544d8e96&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba | |||
| Contents of lectures | Fundamental concepts and applications of combinatorics. Conditional probability and independence of events. Random variables and their distributions. Numerical characteristics of random variables. Laws of Large Numbers and Central Limit Theorem. Monte Carlo methods. | |||
| Contents of exercises | Solving problems in Probability and Statistics by simulation methods and graphical presentations of results. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 1 | 1 | 0.5 | ||
| Methods of teaching | Combination of traditional presentation on blackboard, slides, lab, communication with students through internet and individual work with students while working on home work tasks, that are scored through testing, and explanation of current topics. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 70 | |
| Practical lessons | 6 | Oral examination | 0 | |
| Projects | ||||
| Colloquia | 24 | |||
| Seminars | 0 | |||