Course detail

Metrology and experimental data processing

FCH-DC_METAcad. year: 2019/2020

Not applicable.

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Základní dokumenty EURACHEM (příručky Kvalimetrie) (CS)
GRAFEN, A.. Modern statistics for the life sciences. Oxford: Oxford University Press, 2002. ISBN 01-992-5231-9. (CS)
MILLER, J. N. Statistics and chemometrics for analytical chemistry. 5th ed. Harlow: Pearson Prentice Hall, 2005, 268 s. ISBN 01-312-9192-0. (CS)
Ermer, J. and Miller, J. H. McB.: Method Validation in Pharmaceutical Analysis: a Guide to Best Prastice. Jonh Wiley & Sons, 2006, 418 s. ISBN: 978-3-527-31255-9. (CS)
HANRAHAN, G.: Environmental chemometrics: principles and modern application. CRC Press, 2009, 292 s. ISBN: 1420067966. (CS)
CHAN, Ch. Ch., LAM, H., ZHANG, X-M. Practical approaches to method validation and essential instrument qualification. Hoboken, N.J.: Wiley, c2010, xiv, 399 p. ISBN 04-701-2194-7. (CS)
BLIESNER, D. M. Validating chromatographic methods: a practical guide. Hoboken, N.J.: Wiley, c2006, viii, 291 p. ISBN 9780471741473. (CS)
REICHENBACHER, M. Challenges in analytical quality assurance. New York: Springer, 2011, p. cm. ISBN 978-3-642-16594-8. (CS)

Planned learning activities and teaching methods

The course uses teaching methods in form of individual consultation. The e-learning system (LMS Moodle) is available to teachers and students.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech

Work placements

Not applicable.

Aims

Not applicable.

Classification of course in study plans

  • Programme DPCP_CHTOZP_N Doctoral, 1. year of study, winter semester, 2 credits, compulsory-optional
  • Programme DKCP_CHTOZP_N Doctoral, 1. year of study, winter semester, 2 credits, compulsory-optional

Type of course unit

 

Tuition

4 hours, optionally

Teacher / Lecturer

Controlled Self-study

22 hours, optionally

Teacher / Lecturer

eLearning