Experiment Design

Published: Friday, 28 October 2016 08:35

Programme Summary

Major: 13.04.02 Power Industry and Electrical Engineering

Degree: Master

Course units:

1. Key concepts
2. Metrological support of experimental studies
3. Sources of measurement errors
4. Evaluation of random factor effect on experiment results
5. Random variable position characteristics
6. Normal random variable distribution law
7. Key tasks of mathematical statistics
8. Statistical criteria and their application
9. Dispersion analysis
10. Regression equation
11. Regression analysis
12. Basics of planning an experiment
13. Planning an experiment and search for best conditions

Course contents:

This course is aimed at giving students a clear idea about how to set up an experiment, how to evaluate random factor effect on experiment results, what dispersion and regression analyses are, and how to plan an experiment.

This course is an important preparation step for undergraduates before they can take up R&D work, analyse the condition and dynamics of power qualitative indicators using proper techniques and research means, create math models of different objects, elaborate research plans, programmes and procedures.   

Activities:

1. Teacher-led group activities in a classroom;
2. Extracurricular self-study of the teacher’s assignments and tasks, including the use of educational facilities (obligatory);
3. Office-hours.

Total hours – 144

Total points – 4

Laboratory classes – 16

Midterm assessment –Pass/fail examination