https://cw.fel.cvut.cz/wiki/ 2026-04-13T08:37:57+0200 https://cw.fel.cvut.cz/wiki/ https://cw.fel.cvut.cz/wiki/lib/tpl/bulma-cw/images/favicon.ico text/html 2026-04-13T08:34:30+0200 hoffmmat (hoffmmat@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/hro/lectures/start?rev=1776062070&do=diff Lectures Lectures are delivered by Matej Hoffmann. Location and time: E301 (Charles Square), Wednesdays, 12:45-14:15. We'll do our best to post the PDF of the slides on this page before each lecture. Books and online resources will be referenced throughout the lectures - typically on the last lecture slide. text/html 2026-04-13T08:02:27+0200 viteks (viteks@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/b0b37nsi/proposals/start?rev=1776060147&do=diff Semestrální práce Semestrální práce nemusí být nutně uceleným dílem, může to být i obdoba proof-of-concept nebo rešerše nějakého zajímavého problému, který souvisí s IoT systémy - nejlépe něco, co by mohlo být zajímavé i pro ostatní. text/html 2026-04-13T07:44:16+0200 viteks (viteks@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Ab0b37nsi%3Alectures%3Ansi-lec07-2026.pdf&ns=courses%3Ab0b37nsi%3Alectures&rev=1776059056&tab_details=history&mediado=diff&do=media text/html 2026-04-12T22:36:30+0200 kuzelon2 (kuzelon2@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/becm36mlm/lectures/start?rev=1776026190&do=diff Lectures meeting backup: <https://meet.google.com/dnr-uxfi-yay> 1. Learning from Tabular data: [ slides] 2. Learning from Relational data: [ slides] 3. Graph Representation Learning: [ slides] 4. Relational Deep Learning: [ slides] 5. Neural-Symbolic Learning: [ slides] 6. Learning with LLMs: [ slides] 7. Interpretability in ML: text/html 2026-04-12T22:33:48+0200 kuzelon2 (kuzelon2@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/becm36mlm/tutorials/start?rev=1776026028&do=diff Tutorials 1. Learning from Tabular data - <https://drive.google.com/file/d/1B9XhJTXlolqfgaUTuQ36ct9OrlBj9zjT/view?usp=sharing> 2. Learning from Relational data - <https://drive.google.com/file/d/1GkH7xaXgZVU-I4hV_5TdDE2os9OpNW-f/view?usp=sharing> 3. Graph Neural Networks - <https://drive.google.com/file/d/1PCKRrnyKJmdl-3_G3c0_9OVrfleUCD2A/view?usp=sharing> 4. Relational Deep Learning - <https://drive.google.com/file/d/14eKH7lS8fy9z3Iv5y74zmir65OBNzPVx/view?usp=sharing> 5. Neural-S… text/html 2026-04-12T22:33:21+0200 kuzelon2 (kuzelon2@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Abecm36mlm%3Atutorials%3Atutorial_8_exercises.pdf&ns=courses%3Abecm36mlm%3Atutorials&rev=1776026001&tab_details=history&mediado=diff&do=media text/html 2026-04-12T22:06:45+0200 kuzelon2 (kuzelon2@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Abecm36mlm%3Alectures%3Alecture_8_presentation_2026.pdf&ns=courses%3Abecm36mlm%3Alectures&rev=1776024405&tab_details=history&mediado=diff&do=media text/html 2026-04-12T18:01:41+0200 sattltor (sattltor@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/mpv/start?rev=1776009701&do=diff Computer Vision Methods Schedule on FEL (CZ course) Schedule on FEL (EN course) Upload system Discussion forum Discussion forum archive (2025) Labs Course Description This course focuses on the following computer vision problems: finding correspondences between images using image features and their robust invariant descriptors, image retrieval, object detection and recognition, and visual tracking. text/html 2026-04-12T17:59:30+0200 sattltor (sattltor@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Ampv%3Ampv-08-2026-04-13_3d_reconstruction_part_2.pdf&ns=courses%3Ampv&rev=1776009570&tab_details=history&mediado=diff&do=media text/html 2026-04-11T00:58:26+0200 marecjak (marecjak@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/b0m36qua/tutorials/start?rev=1775861906&do=diff 2026 Homework [HW1, due April 17th, 9am] 2026 Exercises 05.03.2026 - Introduction to Quantum Mechanics . Solutions: 20.03.2026 - Introduction to Quantum Computing . Solutions: 2025 Exercises 14. 03. 2025: Quantum mechanics . Solutions: 28. 03. 2025: Deutsch-Josza Algorithm text/html 2026-04-10T10:08:10+0200 pikmajan (pikmajan@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/rm35koa/labs?rev=1775808490&do=diff Labs The goal of the labs is to exercise the topics presented on lectures. On some labs you will receive homework assignment, which are implementation of an algorithm or a method solving some interesting combinatorial optimization problem. In all cases, the solutions to homework assignments are submitted to text/html 2026-04-10T09:56:57+0200 pikmajan (pikmajan@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/ko/labs?rev=1775807817&do=diff Labs The goal of the labs is to exercise the topics presented on lectures. On some labs you will receive homework assignment, which are implementation of an algorithm or a method solving some interesting combinatorial optimization problem. In all cases, the solutions to homework assignments are submitted to text/html 2026-04-10T09:53:32+0200 pikmajan (pikmajan@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Ako%3A2026_shortest_paths.pdf&ns=courses%3Ako&rev=1775807612&tab_details=history&mediado=diff&do=media text/html 2026-04-10T07:44:21+0200 rysavpe1 (rysavpe1@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Aacm%3A20260409_speical_graphs.pdf&ns=courses%3Aacm&rev=1775799861&tab_details=history&mediado=diff&do=media text/html 2026-04-09T21:58:04+0200 navara (navara@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/b0b33opt/start?rev=1775764684&do=diff Optimalizace (LS 2025-26) Rychlé odkazy: cvičení, Brute, rozvrh, diskusní fórum, časový plán ak. roku Obsah a prerekvizity Matematická optimalizace (též známá jako matematické programování) se zabývá minimalizací či maximalizací funkcí mnoha proměnných za případných omezujících podmínek. V inženýrské praxi vzniká mnoho takových úloh - často je třeba dělat něco nejlépe v rámci daných omezení. Optimalizace je fascinující a dynamický obor na pomezí matematické analýzy, lineární algebry a inform… text/html 2026-04-09T21:55:28+0200 navara (navara@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Ab0b33opt%3A09lagrange.pdf&ns=courses%3Ab0b33opt&rev=1775764528&tab_details=history&mediado=diff&do=media text/html 2026-04-09T21:55:12+0200 navara (navara@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Ab0b33opt%3A08nmnc.pdf&ns=courses%3Ab0b33opt&rev=1775764512&tab_details=history&mediado=diff&do=media text/html 2026-04-09T16:25:32+0200 sindlpa1 (sindlpa1@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/?image=courses%3Abe5b33pge%3Agroup_a.zip&ns=courses%3Abe5b33pge&rev=1775744732&tab_details=history&mediado=diff&do=media text/html 2026-04-09T16:25:00+0200 mudromar (mudromar@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/b3b36prg/labs/mudroch?rev=1775744700&do=diff CV8-mudroch - smazat #include <stdio.h> #include <stdlib.h> #include <string.h> #include <ctype.h> #include <stdbool.h> #include <errno.h> enum { ERROR_OK = EXIT_SUCCESS, ERROR_READ = 100, ERROR_MEM = 101, ERROR_OUT = 102, }; // from stdin reads one line (ends \n); returns pointer to read array char* read(FILE *fd, int *error); char **read_lines(FILE *fd, size_t *n, int *error); int print(char *line); int print_lines(size_t n, char **lines); void free_lines(size_t n, char **… text/html 2026-04-09T16:10:21+0200 rysavpe1 (rysavpe1@undisclosed.example.com) https://cw.fel.cvut.cz/wiki/courses/acm/start?rev=1775743821&do=diff Seminář ACM pokročilá algoritmizace a programovací techniky I - V (A4B36ACM1-5) The whole object is to bite off more than you can chew. (...) It’s the correct way to look at things and the correct place to start, I think. ( Eric Idle ) a ( interview s citátem) Velké díky