19D081LA - Linear Algebra
Course specification | ||||
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Course title | Linear Algebra | |||
Acronym | 19D081LA | |||
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 | Mathematical education at the undergraduate level. | |||
The goal | Introduce students to theoretical concepts of linear algebra and its applications in electrical engineering and computer science. | |||
The outcome | The students will have theoretical knowledge of selected topics of linear algebra and will be able to use ideas and methods of linear algebra in applications and research in electrical engineering and computer science. | |||
Contents | ||||
Contents of lectures | Vector spaces, basis, isomorphism, subspaces. Linear operators, kernel, defect, rank. Eigenvalues, eigenvectors. Invariant subspaces. Unitary spaces. Linear operators on unitary spaces. Functionals on vector spaces. Jordan canonical matrix. | |||
Contents of exercises | ||||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
8 | ||||
Methods of teaching | Lectures. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | ||||
Colloquia | 0 | |||
Seminars | 30 |