PdF:CH2MP_1W1S Applied chemistry - Course Information
CH2MP_1W1S Applied chemistry
Faculty of EducationAutumn 2017
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- doc. Mgr. Hana Cídlová, Dr. (lecturer)
doc. RNDr. Luděk Jančář, CSc. (seminar tutor) - Guaranteed by
- doc. RNDr. Petr Sládek, CSc.
Department of Physics, Chemistry and Vocational Education – Faculty of Education
Contact Person: Jana Jachymiáková
Supplier department: Department of Physics, Chemistry and Vocational Education – Faculty of Education - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Lower Secondary School Teacher Training in Chemistry (programme PdF, M-ZS5)
- Lower Secondary School Teacher Training in Chemistry (programme PdF, N-ZS) (2)
- Course objectives
- Main objectives can be summarized as follows:
- the students will learn to use basic chemical knowledge in practice
- the students will be able to explain exploitation of chemical compounds and chemical reactions in daily life - Syllabus
- a) - Chosen optical and electrochemical methods
- - Chosen aspects of food chemistry (anti-nutritional, toxic and other bioactive compounds, additives, contaminants, food legislation).
- b) • 1. Historical overview of instrumental methods. • 2. Atomic absorption spectrometry. • 3. Spectrophotometry. • 4. Atomic emission spectrometry, ICP. • 5. Fotoluminiscent methods. • 6. Extraction. • 7. Liquid chromatography. • 8. Gass chromatography. • 9. Potenciometry, conductometry. • 10. Capillary electrophoresis, isotachophoresis. • 11. Mass spectrometry, MALDI-TOF. • 12. Tandem methods. • 13. Chemometry, in the modern chemistry. • 14. Errors, trueness, accuracy, repearability, reproducibility. • 15. Linear regression, detection limit, determination limit. • 16. Simplex method, Monte Carlo method. • 17. Classical multicomponent analysis. • 18. Modern methods of the multicomponent analysis, calibration, prediction. • 19. Multiple linear regression, Principal component regression, PLS, Kalman filter. • 20. Neural networks. • 21. Nanoparticles - general characteristcs. • 22. Nanoparticles - use in practice and in the chemistry education.
- Literature
- Davídek J., Velíšek J.: Analýza potravin. VŠCHT Praha, Praha 1992.
- Klener P.: Chemoterapie - minimum pro praxi. Triton, Praha 1999.
- Navrátil O. a kol.: Jaderná chemie. Academia, Praha 1985.
- Neiser J. a kol.: Obecná chemická technologie. SPN, Praha 1981.
- Kalous V. a kol.: Metody chemického výzkumu. SNTL/ALFA, Praha 1987.
- Pichler J: Chemie ve společnosti - I - Chemizace. PřF MU v Brně, Brno 1992.
- VELÍŠEK, Jan and Jana HAJŠLOVÁ. Chemie potravin 2. Rozš. a přeprac. vyd. 3. Tábor: OSSIS, 2009, xx, 623. ISBN 9788086659176. info
- Teaching methods
- Type of classwork:
Seminar, exercises. Approximately one half of the time,, the students are exposed to new subject matter. Afterwards they practise what they have learned. - Assessment methods
- Termination: a credit.
Physical-chemistry part: success in the final test at least 60 % points.
Moreover, it is recommended to learn independently the subject matter in the internet pages:
http://www.ped.muni.cz/wchem/sm/hc/ZFC/vyroby/obecne-o-vyrobach.htm
http://www.ped.muni.cz/wchem/sm/hc/suroviny.htm
http://www.ped.muni.cz/wchem/sm/hc/ZFC/nebezp-latky/nebezp-chem-l.htm
http://www.ped.muni.cz/wchem/sm/hc/historie+chemie.htm - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.
- Enrolment Statistics (Autumn 2017, recent)
- Permalink: https://is.muni.cz/course/ped/autumn2017/CH2MP_1W1S