Course details

Introduction to Medical Informatics

IUMI FEEC BUT AUMI Acad. year 2018/2019 Winter semester 5 credits

Current academic year

Computers in medicine and biology. Data in medicine. Electronic healt record. Probability reasoning. Fuzzy logic. Expert systems. Biomedical statistics. Traditional genetics. Genomics, proteomics and taxonomy. Processing of biological sequences. Standards in medical informatics.


Language of instruction



Credit+Examination (written)

Time span

26 hrs lectures, 13 hrs pc labs, 13 hrs projects

Assessment points

70 exam, 30 mid-term test



Provazník Ivo, prof. Ing., Ph.D. (DBME FEEC BUT)
Škutková Helena, Ing., Ph.D. (FEEC BUT)


Bartoň Vojtěch, Ing. (FEEC BUT)
Smíšek Radovan, Ing. (FEEC BUT)

Subject specific learning outcomes and competences

Basic knowledge and skills in medical informatics with particular emphasis to processing of medical data.

Learning objectives

The course should provide the student with the basic theoretical knowledge and practical experience from the area of medical informatics and bioinformatics. The knowledge covers area of processing of specific medical and biological data and computer-aided medical diagnostics.

Prerequisite kwnowledge and skills

The subject knowledge on the secondary school level is required.

Study literature

  • Zvárová, J. Biomedicínská informatika I. Karolinum, Praha, 2002. ISBN: 80-246-0609-7 (in Czech)
  • Zvárová, J. Biomedicínská statistika I. Karolinum, Praha, 2007. ISBN: 978-80-7184-786-1 (in Czech)
  • Novák, V. Základy fuzzy modelování. BEN - Technická literatura, 2002. ISBN: 80-7300-009-1 (in Czech)
  • Berka, P. Dobývání znalostí z databází. Praha, Academia 2003 (in Czech)
  • Kelemen J. a kol.: Tvorba expertních systémů v prostředí CLIPS. Praha, Grada 1999 (in Czech)
  • Kejnovský, E., Hobza, R. Evoluční genomika, Elportál, Brno:Masarykova univerzita, 2006. ISSN 1802-128X (in Czech)

Syllabus of lectures

  1. Computers in medicine and biology.
  2. Data in medicine.
  3. Electronic healt record.
  4. Probability reasoning.
  5. Fuzzy logic.
  6. Expert systems.
  7. Biomedical statistics.
  8. Traditional genetics.
  9. Genomics, proteomics and taxonomy.
  10. Processing of biological sequences.
  11. Standards in medical informatics.

Progress assessment

Requirements for successful completion of the subject are specified by guarantor's regulation updated for every academic year.

Controlled instruction

Extent and forms are specified by guarantor's regulation updated for every academic year.

Course inclusion in study plans

  • Programme BIT, 2nd year of study, Elective
  • Programme IT-BC-3, field BIT, any year of study, Elective
  • Programme IT-BC-3, field BIT, 2nd year of study, Elective
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