13D081FAP - Functional analysis and applications
Course specification | ||||
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Course title | Functional analysis and applications | |||
Acronym | 13D081FAP | |||
Study programme | Electrical Engineering and Computing | |||
Module | Applied Mathematics | |||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | Mathematics on the level of compulsory courses at ETF | |||
The goal | The course presents a theory of metric spaces and approximations. The goal of the course is learnig this classical theory and its applications and gaining knowledge of properties and techniques related to applications in electrical engineering etc. | |||
The outcome | The student is competent to apply knowledge of concepts of functional analysis and especially the theory of linear operators and fundamental results in the field of Hilbert spaces and their applications | |||
Contents | ||||
Contents of lectures | Definition of metric spaces, complete spaces, Banach spaces, linear vector spaces, linear operators, linear functional, the principle and the principle of uniform convergence , the principle of open mappings, Hilbert space, approximations. Applications in electrical engineering and computer science, especially in signal processing. | |||
Contents of exercises | Applications in electrical engineering and computer science, especially in signal processing. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
6 | ||||
Methods of teaching | ||||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | 70 | ||
Practical lessons | Oral examination | |||
Projects | ||||
Colloquia | ||||
Seminars | 30 |