C2105 Computer in analytical laboratory

Faculty of Science
Spring 2022
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
RNDr. Marta Farková, CSc. (seminar tutor)
prof. Mgr. Jan Preisler, Ph.D. (seminar tutor)
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
Wed 8:00–9:50 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
Course objectives
Student will be trained in application of computers for data acquisition, processing and presentation. The aim is to promote computer literacy; knowledge and skill gained are necessary prerequisite for further studies, completion of bachelor thesis and for future profession.
Learning outcomes
At the end of the course student will be able to use program MS Excel; program QC Expert; program Matlab; program Maxima; program LabVIEW; programming language Python.
Syllabus
  • 1. Introduction. Application of MS Excel program for data evaluation. 2. ORIGIN - software for data visualization, graphs generation and data analysis 3. Statistical software (e.g. STATISTICA, Statgraphics, ADSTAT) 4. QC Expert - software for statistical quality control and for statistical data analysis 5. Application of mathematical software in chemistry (e.g. Matlab, Maple, Maxima) 6. Introduction to programming (text and graphical programming languages) 7. Programming language Python 8. Programming language R 9. Interface instrument - computer, data input and output 10. PC as a virtual instrument - LabView 11. Software tools for data presentation (e.g. MS Word, MS PowerPoint, ADOBE Acrobat) 12. Internet tools (www and ftp servers, web page generation) 13. Computer security (hardware and software) 14. Other applications of computers in analytical laboratory (e.g. MathType, Isis Draw)
Literature
  • HAVLÍČEK, Josef, Jaroslav VLACH, Martin VLACH and Viktorie VLACHOVÁ. Začínáme s LabVIEW. 1. české. BEN - technická literatura, 2008, 248 pp. ISBN 978-80-7300-245-9. info
  • Handouts provided by teacher during the course
Teaching methods
Lectures
Assessment methods
individual work on computer, written test
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2022/C2105