PřF:C5120 Computers and Chemometrics - Course Information
C5120 Computers in Chemistry and Chemometrics
Faculty of ScienceAutumn 2009
- 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 - Timetable
- Wed 10:00–10:50 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
- The course acquaints the students with the methods of the experimental data processing.
- Syllabus
- 1. Estimation of basic metrological characteristics of outputs. 2. Testing of metrological characteristics of outputs. 3. Determination of matamatical model and its parameters, regression. 4. Linear regression. 5. Methosds 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. Experimantal design. 10. Factor anylysis. 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
- Language of instruction
- Czech
- Further Comments
- Study Materials
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 2009, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2009/C5120