Course detail

Biostatististics

FCH-MC_BSTAcad. year: 2014/2015

Statistical evaluation of biological and chemical objects, statistics of data set, testing of the biopreparation effectiveness, correlation of variables, linear and nonlinear regression, applications in biological systems.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

Ing. Mgr. Libor Babák, Ph.D., MBA

Department

Institute of Food Science and Biotechnology (ÚCHPBT)

Learning outcomes of the course unit

Student will know the basic mathematical apparatus for results classification in biological and biochemical area and its application in Excel.

Prerequisites

Mathematics, Biochemistry, Bioengineering, Biotechnology

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course uses teaching methods in form of Lecture - 1 teaching hour per week, seminars - 1 teaching hour per week. The e-learning system (LMS Moodle) is available to teachers and students.

Assesment methods and criteria linked to learning outcomes

Classified credit
- test (written form) from computational tasks
- excel statistical skills (data processing)

Course curriculum

1) Basic statistical concepts and methods
2) Point estimates of mean
3) Interval estimates of mean
4) An assessment of the accuracy and precision of the results
5) Testing remoteness
6) Universal statistical tests
7) Testing the effectiveness of Biologicals
8) Correlation variables
9) Linear regression and the linearity test
10) Application of linear regression in the biotech practice
11) Polynomial regression to determine the degree of the polynomial
12) Systematization and elimination of errors

Work placements

Not applicable.

Aims

The aim of Biostatistics is to master the basic principles of evaluation and processing of biological processes results. To understand the common and different elements of biological and chemical view. The ability to apply basic statistical tests.

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

Lecture - optional
Exercise - mandatory for full-time study
Correspondence tasks - mandatory for non-full-time study

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Meloun M., Militký J.: Statistická analýza experimentálních dat. Academia, Praha 2004. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPCP_MA Master's

    branch NPCO_MA , 2 year of study, winter semester, compulsory-optional

  • Programme NPCP_CHTP Master's

    branch NPCO_CHTP , 2 year of study, winter semester, compulsory

  • Programme NKCP_CHTP Master's

    branch NKCO_CHTP , 2 year of study, winter semester, compulsory

  • Programme NPCP_SCH Master's

    branch NPCO_SCH , 2 year of study, winter semester, compulsory-optional

  • Programme CKCP_CZV lifelong learning

    branch CKCO_CZV , 1 year of study, winter semester, compulsory

Type of course unit

 

Exercise

13 hod., compulsory

Teacher / Lecturer

Ing. Mgr. Libor Babák, Ph.D., MBA

Lecture

13 hod., optionally

Teacher / Lecturer

Ing. Mgr. Libor Babák, Ph.D., MBA