Statistical Analysis and Processing of Experimental Data

Orazova Araylym Zhanbolatkyzy

The instructor profile

Description: The course studies various methods for processing biomedical signals and data, including data representation techniques and statistical methods for analyzing experimental data. It examines the classification of multidimensional observations and pattern recognition tasks, providing a detailed overview of different recognition methods and their applications in automatic analysis of biomedical signals. Additionally, the course covers different classes of biomedical signals and their processing methods at various stages: preprocessing, digital filtering, pattern recognition, and syntactic classification of biosignals.

Amount of credits: 6

Course Workload:

Types of classes hours
Lectures 30
Practical works 30
Laboratory works
SAWTG (Student Autonomous Work under Teacher Guidance) 30
SAW (Student autonomous work) 90
Form of final control Exam
Final assessment method

Component: University component

Cycle: Profiling disciplines