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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Data processing

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Code Completion Credits Range
14PD Z,ZK 6 2P+4C
Garant předmětu:
Martin Šrotýř
Lecturer:
Martin Šrotýř, Miroslav Vaniš
Tutor:
Martin Šrotýř, Miroslav Vaniš
Supervisor:
Department of Applied Informatics in Transportation
Synopsis:

Students will learn about tools for data processing and analysis, using practical examples to try out the most common options used in data processing, including advanced options for presenting the results of analyses. In advanced methods, students will also perform specific analysis using Bayesian networks. Students will then independently perform data analysis on data from existing open systems.

Requirements:

-

Syllabus of lectures:
Syllabus of tutorials:
Study Objective:

The aim of the course is primarily to familiarize students with tools for data processing and analysis, to test the most common options used in data processing, including advanced options for presenting analysis results.

Study materials:

Jan Rauch, Milan Šimůnek: Dobývání znalostí z databází, LISp-Miner a GUHA. Praha: Oeconomica VŠE, 2014.

Petr Berka: Dobývání znalostí z databází. Praha: Academia, 2003.

Irena Holubová, Karel Minařík, David Novák, Jiří Kosek: Big Data a NoSQL databáze.

Arun K. Somani, Ganesh Chandra Deka: Big Data Analytics. CRC Press, 2017.

Note:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
roomKO:105
Šrotýř M.
08:00–09:30
(lecture parallel125)
Konviktská 20
Počítačová učebna
roomKO:105
Šrotýř M.
09:45–13:00
(parallel nr.125)
Konviktská 20
Počítačová učebna
Thu
Fri
The course is a part of the following study plans:
Data valid to 2024-02-27
Aktualizace výše uvedených informací naleznete na adrese https://bilakniha.cvut.cz/en/predmet6213406.html