Data Analysis and Processing

The course is not on the list Without time-table

Code	Completion	Credits	Range	Language
14AZ	KZ	2	0+2	Czech

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Informatics in Transportation

Synopsis:

Main aim of this course is learn students how to prepare raw data for following processing and analysis. Knowledge of algorithms for determining the parameters of different data sources; source can be used images, text, time series, etc. The next step is the theoretical skills and knowledge to apply in solving the problem, e. g. extraction parameters from the image data or from the Internet.

Requirements:

course has not prerequisites

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Data preparing and preprocessing for datamining and others processes and tools. Knowledge of algorithm pro parameters extraction from different data sources and structures.

Study materials:

Počítačová analýza vícerozměrných dat v příkladech; ISBN: 80-200-1335-0

Practical Data Analysis; ISBN: 978-1-78328-100-8

Microsoft Office Excel 2007 Data Analysis; ISBN: 978-1-4571-2136-4

Commercial Data Mining; ISBN: 978-0-12-416658-5

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: