Course detail

Biostatistics

FCH-MCO_BSTAcad. year: 2020/2021

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

Learning outcomes of the course unit

Results of the subject study will be:
a) theoretical knowledge of basic statistical apparatus for evaluation of results in biological and biochemical field,
b) the ability to apply statistical principles to solve practical problems,
c) skills to process results using statistical functions in excel,
d) gain of overview to apply bio-statistics outputs in other subjects of the discipline, science, research and work life,
e) competence to process the final student's work statistically correctly.

Prerequisites

Good knowledge of mathematics. Basic skills of work in excel. Ability to analyze and process chemical and biological results.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

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

Planned learning activities and teaching methods

Lecture - (2 lessons per 2 weeks): frontal teaching with using demonstration methods (powerpoint).
Seminars (2 lessons per 2 weeks): workshop, individual work, discussion methods.
Electronic Support: The Biostatistics course developed in the Moodle e-learning system.

Assesment methods and criteria linked to learning outcomes

Conditions to obtain of classified credit:
At the end of the semester will be the full-time credit test (electronically in moodle) for 50 points, minimum for success: 25 points.
In the sum, one can obtain for the subject 100 points (work in term 50 p + credit test 50 p), classification of the subject according to the ECTS scale.

Language of instruction

Czech

Work placements

Not applicable.

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

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. To achieve the ability to apply basic statistical tests.

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

During the term students will process applied tasks (full-time form in the seminars, combined form as correspondence tasks).
In total, 5 tasks, each of them has 10 points. Minimum for success: 5 points / task.

Classification of course in study plans

  • Programme AKREDITACE Master's

    specialization BCH , 2. year of study, winter semester, 3 credits, compulsory-optional
    specialization CHPL , 2. year of study, winter semester, 3 credits, compulsory-optional
    specialization PCH , 2. year of study, winter semester, 3 credits, compulsory-optional

  • Programme NKCP_CHTP Master's

    branch NKCO_CHTP , 2. year of study, winter semester, 3 credits, compulsory

  • Programme NPCP_CHTP Master's

    branch NPCO_CHTP , 2. year of study, winter semester, 3 credits, compulsory

  • Programme AKREDITACE Master's

    specialization CHBL , 2. year of study, winter semester, 3 credits, compulsory-optional
    specialization BF , 2. year of study, winter semester, 3 credits, compulsory-optional

  • Programme NPCP_MA Master's

    branch NPCO_MA , 2. year of study, winter semester, 3 credits, compulsory-optional

  • Programme CKCP_CZV lifelong learning

    branch CKCO_CZV , 1. year of study, winter semester, 3 credits, compulsory

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

Guided consultation in combined form of studies

26 hours, obligation not entered

Teacher / Lecturer

Exercise

26 hours, compulsory

Teacher / Lecturer

eLearning