OS3SSE - Stochastic Systems and Estimation
Course specification | ||||
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Course title | Stochastic Systems and Estimation | |||
Acronym | OS3SSE | |||
Study programme | Electrical Engineering and Computing | |||
Module | Signals and Systems | |||
Type of study | bachelor academic studies | |||
Lecturer (for classes) |
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Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | mandatory | |
Condition | none | |||
The goal | To introduce students to the fundamentals of stochastic signals and systems and basic estimation procedures; Understanding of the basic principles of stochastic continuous or discrete systems functioning; Provide students with the ability to understand and use well known estimation procedures for parameter and signals estimation. | |||
The outcome | Students will have skills to make appropriate analysis of stochastic signals, to design a corresponding estimation procedure and to implement it on a particular computer platform. | |||
Contents | ||||
Contents of lectures | Fundamentals of stochastic processes. White stochastic processes. Spectral representation of stochastic processes. Linear discrete - time and continuous - time stochastic processes. Linear filtering. Spectral factorization. Estimation fundamentals. Wiener filter. . Kalman filtering. | |||
Contents of exercises | Students have obligation to solve few homeworks using MATLAB programming language. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 2 | |||
Methods of teaching | 45 hours of lectures + 30 hours of auditory exercises | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | 60 | ||
Practical lessons | 40 | Oral examination | 0 | |
Projects | 0 | |||
Colloquia | 0 | |||
Seminars | 0 |