Measurement and Data Processing

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Applied Mathematics

Synopsis:

General principles of detectors with special attention to traffic. Different technologies, data analysis, data preprocessing, analytical methods (decision trees, clustering or soft computing).

Requirements:

fundamentals of descriptive statistics, fundamentals of traffic terminology

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Basic knowledge of data collection and data processing.

Study materials:

W. Klosgen, J. Zytkov: Handbook of Data Mining and Knowledge Discovery, Oxford University Press, 2002

D. Pyle: Data Preparation for Data Mining, Morgan Kaufmann,1999

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: