Course detail
Numerical and Statistical Treatment of Experimental Data II
FCH-MCA_ZED2Acad. year: 2009/2010
Basic methods of numerical treatment of one-dimensional data, numeric treatment of simple dependencies, data smoothing, derivation, integration, combinated dependency deconvolution, mathematic statistics for chemists - one-dimensional data, functional dependencies, planning of experiments, optimizational computation.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
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
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Requirements:
- successful passing of credit test
- oral examination by colloquial form
Course curriculum
2. Probability and statistics. Probability distributions
3. Point estimators, confidence intervals, significance levels and hypotesis tests
4. Tests for comparison of means
5. Transformation of instrumental data
6. Design of experiments
7. Analysis of variance (ANOVA)
8. Linear models
9. Quantification of analytes. Mesure of performance of analytical methods
10. Mesurement of data quality
11. Non-parametric tests
12. Numerical treatment of data
13. Multiple regression
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Zdeněk Šťastný: Matematické a statistické výpočtu v Microsoft® Excelu. Computer Press Brno 1999, ISBN 80-7226-141-X (CS)
Recommended reading
F. Carley and P. H. Morgan: Computaional Methods in the Chemical Sciences. Ellis Horwood Limited Chichester 1989, ISBN 0-85312-746-8 (CS)
Green, J. R. a Margerison, D.: Statistical treatment of experimental data. Elsevier Sci. Publ. Comp. Amsterodam 1978 (CS)
Jerald L. Schnoor: Environmental Modeling. John Wiley a Sons, Inc., New York 1996, ISBN 0-471-12436-2 (CS)
Richard C. Graham: Data Analysis for the Chemical Sciences. VCH Publishers, Inc., New York, 1993, ISBN 1-56081-048-3 (CS)
Classification of course in study plans
- Programme NPCP_CHTOZP Master's
branch NPCO_CHTOZP , 2 year of study, winter semester, compulsory-optional
- Programme NKCP_CHTOZP Master's
branch NKCO_CHTOZP , 2 year of study, winter semester, compulsory-optional
- Programme CKCP_CZV lifelong learning
branch CKCO_CZV , 1 year of study, winter semester, compulsory-optional