450-2005/01 – Statistical Data Processing (MZD)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantordoc. Ing. Radovan Hájovský, Ph.D.Subject version guarantordoc. Ing. Radovan Hájovský, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2010/2011Year of cancellation2021/2022
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAJ74 doc. Ing. Radovan Hájovský, Ph.D.
NEM0120 Ing. Jakub Němčík
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The purpose of the course is to explain the basic notions and method for statistic analysis. Methods of search analysis of one dimensional data will studied.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs

Summary

Course deals with tools and methods of statistical data processing. Description of program system MATLAB/Statistics Toolbox is implement.

Compulsory literature:

Literature MATLAB - Statistic ToolBox

Recommended literature:

Literature MATLAB - Statistic Tool Box

Way of continuous check of knowledge in the course of semester

Continuous assessment: Continuous monitoring is done through participation in student computer labs Terms of the credit: Students can reach 40 points for computer practice essays. The minimum number of points for the credit is 10 For graduation a student must receive credit and pass the final exam. Final exam has two parts: written with a profit of 5-40 points and the oral gain 5-20 points. The completion of this course the student must pass both parts of the test.

E-learning

Other requirements

There are not defined other requirements for student

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Probability theory. Chance quantity.Definition, properties od distributive and frequency function. Numeral characteristics, central moment, dispersion, skew, median etc. Measurement errors. Accuracy of devices. Search analysis.Order statistics. Statistic graphs - box plot, histogram, diagram of dispersion, etc. Probability distribution of discrete stochastic quantity. Poissonovo, binomic distribution. Probability distribution of continuous stochastic quantity.Uniform, exponencial, Normal distribution. Pearson, student, Fisher, Snedecker distribution. Minimum size of selection, independence of elements, homogeneity. Statistic analysis of one-dimensional data. Parameter estimation of situation and dispersion. Interval parameter estimation. Robust parameter estimation. Hypothesis testing. Linear regression. Computer labs: MATLAB, Statistic software. Work with data in MATLAB. Tasks from probability theory. Frequency and distributive function. Chance quantity and numeral characteristics. Setting of Task. Error estimation. Order statistics. Graf analysis(histogram, boq plot) Discrete probability distribution.Demo. Continuous probability distribution. Demo. Point estimations, interval estimations. Testing of hypothesis. Linear regression.

Conditions for subject completion

Full-time form (validity from: 2012/2013 Winter semester, validity until: 2021/2022 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 40  10
        Examination Examination 60 (60) 10 3
                Písemná zkouška Written examination 40  5
                Ústní zkouška Oral examination 20  5
Mandatory attendence participation: 80% attendance at the exercises

Show history

Conditions for subject completion and attendance at the exercises within ISP:

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2020/2021 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2019/2020 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2018/2019 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2017/2018 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2016/2017 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2015/2016 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2014/2015 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2013/2014 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2012/2013 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2011/2012 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan
2010/2011 (B2649) Electrical Engineering (3901R039) Biomedical Technician P Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2019/2020 Winter
2018/2019 Winter
2017/2018 Winter
2016/2017 Winter
2015/2016 Winter
2012/2013 Winter
2011/2012 Winter