| Course title | Bachelor´s Thesis Tutorial 2 |
|---|---|
| Course code | KMA/BS2 |
| Organizational form of instruction | Seminar |
| Level of course | Bachelor |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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Students present annotation of their bachelor thesis. Methodology of the project as well as its presentation are discussed.
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| Learning activities and teaching methods |
Dialogic Lecture (Discussion, Dialog, Brainstorming)
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| Learning outcomes |
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To discuss methodology and partial outputs of the bachelor thesis.
Synthesis Elaborate and present a given thema. |
| Prerequisites |
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Knowledge from previous study necessary to write the bachelor thesis.
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| Assessment methods and criteria |
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Student performance
Presentation of the output of the bachelor thesis. |
| 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 Business Mathematics (2021) | Category: Mathematics courses | 3 | Recommended year of study:3, Recommended semester: Summer |
| 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: Summer |
| 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: Summer |