Thesis (Selection of subject)Thesis (Selection of subject)(version: 385)
Thesis details
   Login via CAS
Kolmogorovovská složitost a Shannonova informace
Thesis title in Czech: Kolmogorovovská složitost a Shannonova informace
Thesis title in English: Kolmogorov complexity and Shannon information
Key words: Kolmogorovovská složitost, Shannonova informace, entropie
English key words: Kolmogorov complexity, Shannon information, entropy
Academic year of topic announcement: 2018/2019
Thesis type: Bachelor's thesis
Thesis language: čeština
Department: Computer Science Institute of Charles University (32-IUUK)
Supervisor: prof. Mgr. Michal Koucký, Ph.D.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 26.04.2019
Date of assignment: 07.05.2019
Confirmed by Study dept. on: 13.05.2019
Date and time of defence: 29.06.2020 10:00
Date of electronic submission:04.06.2020
Date of submission of printed version:04.06.2020
Date of proceeded defence: 29.06.2020
Opponents: doc. Mgr. Robert Šámal, Ph.D.
 
 
 
Guidelines
Student se seznámí s Kolmogorovskou složitostí a Shannonovou teorií informace a prozkmoumá jejich vzájemnou souvislost s ohledem
na podobnosti a odlišnosti.
References
T.M. Cover, J.A. Thomas, Elements of Information Theory. John Wiley & Sons, 2nd edition, 2006.
Ming Li, P.M.B. Vitányi, An Introduction to Kolmogorov Complexity and Its Applications. Springer, 3rd edition, 2008.
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html