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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024

Data processing

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

Advanced SQL and its procedural extensions, data pre-processing, datamining, interpretation of datamining result, Big Data, Big Data processing, data warehousing, unstructured data and NoSQL database.

Requirements:

-

Syllabus of lectures:
Syllabus of tutorials:
Study Objective:

Students will be acquainted with selected data processing tools, datamining, working with Big Data and NoSQL databases.

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
Thu
roomKO:105
Šrotýř M.
08:00–09:30
(lecture parallel126)
Konviktská 20
Počítačová učebna
roomKO:105
Šrotýř M.
09:45–13:00
(parallel nr.126)
Konviktská 20
Počítačová učebna
Fri
The course is a part of the following study plans:
Data valid to 2024-04-11
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