Course detail

Statistical Methods

FAST-HA51Acad. year: 2010/2011

Random experiment, continuous and discrete random variables (vectors), marginal distribution, independent random variables, transformation of random variables, characteristics of random variables and vectors. Random sampling, statistics.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

Ing. Pavel Špaček, Dr.

Department

Institute of Mathematics and Descriptive Geometry (MAT)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Basics of the theory of functions of one and several real variables (derivative, partial derivative, limit, continuous functions, graphs of functions). Basic operations with matrices and vectors.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

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.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Give the students a basic understanding of the theory of probability. Students should be able to interpret the basics of mathematical statistics.
Teach the students how to evaluate data focussing on finding solutions to "unsolvable" systems of linear equations with minimum errors.

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

KOUTKOVÁ, H., MOLL, I.: Úvod do pravděpodobnosti a matematické statistiky. Akademické nakladatelství CERM, s.r.o., 2001. (CS)

Type of course unit

Exercise

26 hours, obligation not entered

Teacher / Lecturer

Ing. Pavel Špaček, Dr.

VUT

Faculties

University Institutes

Parts

Statistical Methods

Type of course unit