470-4404/02 – Biostatistics (BioS)

Gurantor departmentDepartment of Applied MathematicsCredits4
Subject guarantorprof. Ing. Radim Briš, CSc.Subject version guarantorprof. Ing. Radim Briš, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageEnglish
Year of introduction2015/2016Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KRA0220 Ing. Jan Kracík, Ph.D.
LIT40 Ing. Martina Litschmannová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 10+10

Subject aims expressed by acquired skills and competences

This is an introductory course in statistics. The course will emphasize methods of applied statistics and data analysis.

Teaching methods

Lectures
Tutorials
Project work

Summary

This is an introductory course in statistics. The course will emphasize methods of applied statistics and data analysis. Theoretical considerations will be included to the extent that knowledge of theory is necessary for a sound understanding of methods and contributes to the development of data analysis skills and the ability to interpret results of statistical analysis. The objective of the course is to develop sufficient knowledge of statistical tools and procedures, understanding of the underlying theory on which the procedures are based, and facility in the application of statistical tools to enable the student to incorporate sound statistical methodology into other areas of his or her own work.

Compulsory literature:

Briš R., Probability and Statistics for Engineers, Elektronické skriptum VŠB TU Ostrava,2011, projekt Rozvoj jazykových kompetencí pracovníků VŠB-TU Ostrava: InterDV, registrační číslo: CZ.1.07/2.2.00/15.0132 Dummer R.M.; Introduction to Statistical Science, skriptum VŠB-TUO FEI, 1998, ISBN 80-7078-497-0

Recommended literature:

Dummer R.M.; Introduction to Statistical Science, skriptum VŠB-TUO FEI, 1998, ISBN 80-7078-497-0

Way of continuous check of knowledge in the course of semester

10 control tests, semestral project

E-learning

Other requirements

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Exploratory data analysis, types of variables, Exploratory analysis of single discrete and continuous variables, summarization of distributions. Probability theory. Random variable and probability distribution, expected value operator and moments of probability distribution, joint and conditional distributions. Probability models for discrete and continuous random variables. Sampling distributions of the mean, distribution of sample proportion Central Limit Theorem. Point and interval estimation. Hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests. One factor analysis of variance, ANOVA table, multiple comparisons, post hoc analysis. Simple linear regression model, least squares estimation of parameters and properties of the estimates. Multiple regression models.

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  20
        Examination Examination 60  27 3
Mandatory attendence participation: Participation at all exercises is obligatory, 2 apologies are accepted. Participation at lectures is recommended, knowledge of lecture materials is a prerequisite for participation at the exercises.

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2020/2021 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2019/2020 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2019/2020 (N2649) Electrical Engineering (3901T009) Biomedical Engineering K English Ostrava 1 Compulsory study plan
2018/2019 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2018/2019 (N2649) Electrical Engineering (3901T009) Biomedical Engineering K English Ostrava 1 Compulsory study plan
2017/2018 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2017/2018 (N2649) Electrical Engineering (3901T009) Biomedical Engineering K English Ostrava 1 Compulsory study plan
2016/2017 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2016/2017 (N2649) Electrical Engineering (3901T009) Biomedical Engineering K English Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (3901T009) Biomedical Engineering P English Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (3901T009) Biomedical Engineering K English Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2017/2018 Summer