Course detail

Introduction to Medical Informatics

FEKT-CUMIAcad. year: 2017/2018

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.

Learning outcomes of the course unit

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

Prerequisites

The subject knowledge on the secondary school level is required.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

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

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

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

Language of instruction

English

Work placements

Not applicable.

Course curriculum

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.

Aims

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.

Specification of controlled education, way of implementation and compensation for absences

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

Classification of course in study plans

  • Programme EEKR-BC Bachelor's

    branch BC-EST , 3. year of study, winter semester, 5 credits, optional interdisciplinary
    branch BC-MET , 3. year of study, winter semester, 5 credits, optional interdisciplinary

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer

eLearning