Course detail

Numerical and Statistical Treatment of Experimental Data

FCH-BCA_ZDSAcad. year: 2011/2012

Information about basic statistical methods to experimental data processing. Basics of combinatorics and teory of probability.Definition of random quantities and their characteristics. Distribution of random quantities. Statistical and selected data properties. Statistical hypothesis testing. Parametric and non-parametric tests.. Errors of measurement.

Language of instruction

Czech

Number of ECTS credits

2

Mode of study

Not applicable.

Guarantor

prof. Mgr. Martin Vala, Ph.D.

Department

Institute of Physical and Applied Chemistry (ÚFSCH)

Learning outcomes of the course unit

Integral information on fundamental methods of numerical treatment
of one-dimensional data, fundamental methods of numerical treatment of
simple dependences and data smoothing.
Practical utilization of acquired piece of knowelge in experimental
data processing from selected thematic fields in MS-Excel environment.

Prerequisites

mathematics, chemical informatics

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Successful in five tests over the semestral course. Subjects of test are: probability of random events, parameters of distribution, distribution function, parametric and not parametric statistical tests.

Course curriculum

1. Combinatorics
2. Probability theory
3. Random quantities and their characteristics
4. Random quantities distributions
5. Statistical data properties
6. Selected data properties
7. Statistical hypothesis testing
8. Measurement errors

Work placements

Not applicable.

Aims

Replenishment and acquisition of new theoretical information and practical know-how necessary for numerical processing of data acquired by own experimental activities.

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

Successful in five tests over the semestral course. Informaions for elaboration of tests are in BUTe-learning system - Moodle

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Cyhelský L., Kahounová J., Hindls R. : Elementární statistická analýza. Management press, Praha 1999 (CS)
Meloun M., Militký J. : Kompendium statistického zpracování dat. Academia, Praha 2002 (CS)
Šťastný Z. : Matematické a statistické výpočtu v Microsoft® Excelu. Computer Press, Brno 1999 (CS)

Recommended reading

Billo E. J. : MS Excel for Chemists. John Wiley & Sons, Inc., New York 1997 (CS)
Carley A. F., Morgan P. H. : Computaional Methods in the Chemical Sciences. Ellis Horwood Limited, Chichester 1989 (CS)
Graham R.C. : Data Analysis for the Chemical Sciences. VCH Publishers, Inc., New York 1993 (CS)
Green J. R., Margerison D. : Statistical treatment of experimental data. Elsevier Sci. Publ. Comp., Amsterodam 1978 (CS)
Schnoor J.L. : Environmental Modeling. John Wiley a Sons, Inc., New York 1996 (CS)

Classification of course in study plans

  • Programme BPCP_CHCHT Bachelor's

    branch BPCO_SCH , 3 year of study, winter semester, compulsory

  • Programme BKCP_CHCHT Bachelor's

    branch BKCO_SCH , 3 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Mgr. Martin Vala, Ph.D.