Management in Biotechnical Systems
Description: Basic concepts of the theory of automatic control. Analysis of linear automatic control systems. Optimal control systems. Non-stationary control systems and their mathematical models. Discrete and digital control systems. Control systems in case of accidental impacts. Mathematical description and analysis of control processes in the body. Management in biotechnical systems: description of the biological link. Automation of management processes in healthcare. Optimization of control solutions in automated control systems by linear programming methods. Optimization of control solutions in automated control systems by dynamic programming and game theory.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method |
Component: University component
Cycle: Profiling disciplines
Goal
- Objectives and objectives of the discipline: to familiarize students with the theory and methods of automatic and automated control used in the creation of biotechnical systems for various purposes and automated health management systems.
Learning outcome: knowledge and understanding
- To know: the tasks of a controlled biomedical experiment solved with the use of modern technical means; principles, technical means and methods of organizing a biomedical experiment; methods of organizing the collection, processing of biomedical information, control and management of the experiment; technical and software automation systems for biomedical research in physiological, biophysical and neurophysiological experiments.
Learning outcome: applying knowledge and understanding
- Be able to: use the acquired knowledge when organizing a medical experiment with the use of technical means; effectively organize the processing and presentation of experimental data. Possess: the skills of using standard devices and research automation programs in a controlled medical and biological experiment.
