| Course title | Scientific computing |
|---|---|
| Course code | KMA/SC |
| Organizational form of instruction | Lecture + Exercise |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 4 |
| Language of instruction | Czech, English |
| Status of course | Compulsory, Compulsory-optional, Optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
|
| Course content |
|
1. Fourier methods and their application in digital music, sound processing 2. Fourier methods and their application in PDE 3. Boundary value problems -- an overview. Application to linear elasticity 4. Introduction to image processing 5. Introduction to analysis of biological signals. Application to ECG data
|
| Learning activities and teaching methods |
| Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration |
| Learning outcomes |
|
This course aims at several more complex problems from practice which require the use of mathematical tools from several different branches of mathematics.
The ability to solve more complex practical problems |
| Prerequisites |
|
Linear algebra, calculus, basic numerical mathematics, programming skills, English
KMA/MA1 and KMA/MA2 and KMA/MA3 and KAG/LA1A and KMA/DR |
| Assessment methods and criteria |
|
Student performance, Analysis of Creative works (Music, Pictorial,Literary), Seminar Work
Colloquiu: active participation. presentation of a solution to a selected more complex problem |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics (2023) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): General Physics and Mathematical Physics (2019) | Category: Physics courses | 1 | Recommended year of study:1, Recommended semester: Winter |