RNDr. Michal Töpfer
| Family name(s): | Töpfer | |
|---|---|---|
| Other/given name(s): | Michal | |
| Personal number (UKČO): | 67336918 | |
| Login: | TOPFERMI | |
| WWW: | http://michal.topfer.matfyz.cz | |
| Type of study: | Bachelor's | |
| Form of study: | full-time | |
| Study programme: | Informatics, Computer Science (B1801) | |
| Branch of study: | General Computer Science | |
| Year: | 3 | |
| Faculty: | Faculty of Mathematics and Physics | |
| The year of admission to study: | 2017 | |
| Study state: | graduated (2019/2020) | |
| Students works: | Components for visualization of correlations for IVIS framework | |
| Type of study: | Master's (post-Bachelor) | |
| Form of study: | full-time | |
| Study programme: | Computer Science - Artificial Intelligence (N0619A140003) | |
| Branch of study: | Computer Science - Artificial Intelligence | |
| Year: | 2 | |
| Faculty: | Faculty of Mathematics and Physics | |
| The year of admission to study: | 2020 | |
| Study state: | graduated (2021/2022) | |
| Students works: | Machine-learning-based self-adaptation of component ensembles | |
| Type of study: | doctoral | |
| Form of study: | full-time | |
| Study programme: | Computer Science - Software Systems (P0613D140009) | |
| Branch of study: | Computer Science - Software Systems | |
| Year: | 4 | |
| Faculty: | Faculty of Mathematics and Physics | |
| The year of admission to study: | 2022 | |
| Study state: | studying | |
| Advisor: | Bureš Tomáš, prof. RNDr., Ph.D. | |
| Students works: | Machine learning techniques in self-adaptive systems | |
| Type of study: | rigorosum | |
| Form of study: | other | |
| Study programme: | Informatics, Computer Science (N1801) | |
| Branch of study: | Artificial Intelligence | |
| Year: | 1 | |
| Faculty: | Faculty of Mathematics and Physics | |
| The year of admission to study: | 2023 | |
| Study state: | graduated (2023/2024) | |
| Students works: | Machine-learning-based self-adaptation of component ensembles |