PřF:C5120 Computers and Chemometrics - Course Information
C5120 Computers in Chemistry and Chemometrics
Faculty of ScienceAutumn 2013
- Extent and Intensity
- 1/0/0. 1 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: zk (examination).
- Teacher(s)
- RNDr. Marta Farková, CSc. (lecturer)
- Guaranteed by
- RNDr. Marta Farková, CSc.
Department of Chemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Chemistry – Chemistry Section – Faculty of Science - Timetable
- Thu 7:00–7:50 B09/316
- 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
- Analytical Chemistry (programme PřF, M-CH)
- Analytical Chemistry (programme PřF, N-CH)
- Inorganic Chemistry (programme PřF, M-CH)
- Inorganic Chemistry (programme PřF, N-CH)
- Biochemistry (programme PřF, M-CH)
- Biochemistry (programme PřF, N-CH)
- Physical Chemistry (programme PřF, M-CH)
- Physical Chemistry (programme PřF, N-CH)
- Chemistry (programme PřF, M-CH)
- Environmental Chemistry (programme PřF, M-CH)
- Environmental Chemistry (programme PřF, N-CH)
- Macromolecular Chemistry (programme PřF, M-CH)
- Macromolecular Chemistry (programme PřF, N-CH)
- Organic Chemistry (programme PřF, M-CH)
- Organic Chemistry (programme PřF, N-CH)
- Upper Secondary School Teacher Training in Chemistry (programme PřF, M-CH)
- Course objectives
- At the end of the course students should be able to process the experimental data.
- Syllabus
- 1. Estimation of basic metrological characteristics of outputs. 2. Testing of metrological characteristics of outputs. 3. Determination of mathematical model and its parameters, regression. 4. Linear regression. 5. Methods of general regression, minimization of functions. 6. Absolute and relative errors. Basic sources of errors. Expression of error in basic form. 7. Approximate solution of equations. 8. Interpolation of the functions. 9. Experimental design. 10. Factor analysis. 11. PLS 12. Artificial neural networks.
- Literature
- PYTELA, Oldřich. Chemometrie pro organické chemiky. 3. přeprac. vyd. Pardubice: Univerzita Pardubice, 2000, 199 s. ISBN 8071943096. info
- Teaching methods
- Type of education: lectures, class discussion
- Assessment methods
- Type of exam: written and oral exam. Written exam - 60% of correct answers is needed to pass.
- Language of instruction
- Czech
- Further Comments
- The course can also be completed outside the examination period.
The course is taught annually. - Listed among pre-requisites of other courses
- Enrolment Statistics (Autumn 2013, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2013/C5120