Course: Modeling in Biocybernetics

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Course title Modeling in Biocybernetics
Course code KKY/BIOM
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Wolf Kateřina, Ing.
  • Houdová Lucie, Ing. Ph.D.
  • Růžička Jiří, MUDr. Ph.D.
Course content
Fundamental physiological principles. Monitoring systems of the organism, sensors, medical signal processing. Modeling and simulation of biological systems. Pharmacokinetics. Analysis of medical problems, case studies.

Learning activities and teaching methods
Laboratory work, Students' self-study, Self-study of literature, Lecture, Practicum
  • Practical training (number of hours) - 26 hours per semester
  • Presentation preparation (report) (1-10) - 10 hours per semester
  • Preparation for laboratory testing; outcome analysis (1-8) - 4 hours per semester
  • Contact hours - 26 hours per semester
  • Attendance on a field trip (number of real hours - maximum 8h/day) - 2 hours per semester
  • Preparation for an examination (30-60) - 40 hours per semester
prerequisite
Knowledge
to understand the general human biology
to explain the rules of differential equations solving
to understand system analysis
to define the fundamental structures of control systems and approaches to control
to explain the fundamental principles of dynamic systems modeling and simulation
to understand methods of signal processing
Skills
to analyze the system characteristics of dynamical systems
to apply the results of analytical and experimental analysis
to elaborate behavioral requirements and features of regulation process, while respecting the constraints
to design mathematical models of real nonlinear dynamical systems (models for simulation tasks design)
to assess the principles of dynamic systems modeling
to perform basic biosignal analysis
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to comprehend the fundamental principles of biocybernetics
to understand the fundamental principles of neurophysiology, body locomotion, respiratory system, urinary system, electrophysiological principle of heart activity and blood circulation
to explain the methods of medical problem analysis
to explain the principles of physiological regulation
to explain the principles of biological systems modeling and use of special simulation techniques in biology
to describe the basic biocybernetical models used in practice
to describe the rules of measurement and processing of 1D biosignals
Skills
to analyze medical problems
to analyze and solve fundamental tasks of physiological / regulatory, population and epidemiological nature
to apply the correct principles in biocybernetical case studies
to choose suitable model of biological system
to independently establish a model of biological system
to validate model of biological system
to analyze and process EKG biosignal
Competences
N/A
teaching methods
Knowledge
Lecture
Practicum
Laboratory work
Self-study of literature
Field trip
Individual study
Skills
Interactive lecture
Task-based study method
Practicum
Discussion
Laboratory work
Textual studies
Competences
Interactive lecture
Task-based study method
Self-study of literature
Individual study
Textual studies
assessment methods
Knowledge
Seminar work
Combined exam
Skills
Written exam
Seminar work
Skills demonstration during practicum
Competences
Combined exam
Seminar work
Skills demonstration during practicum
Recommended literature
  • Bronzino, J.D. The biomedical engineering handbook. CRC Press, 2000.
  • Eck, Vladimír; Razím, Miroslav. Biokybernetika. Vyd. 1. Praha : Vydavatelství ČVUT, 1996. ISBN 80-01-01445-2.
  • Holčík, Jiří; Fojt, Otakar. Modelování biologických systémů (vybrané kapitoly). Brno : Vysoké učení technické, 2001. ISBN 80-214-2023-5.
  • Trojan, Stanislav. Lékařská fyziologie. Vyd. 4., přeprac. a dopl. Praha : Grada, 2003. ISBN 80-247-0512-5.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester