Course: Chemical Informatics

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Course title Chemical Informatics
Course code KOANCH/C145
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Čičmanec Pavel, doc. Ing. Ph.D.
  • Bureš Filip, prof. Ing. Ph.D.
  • Pařík Patrik, Ing. Ph.D.
  • Tydlitát Jiří, Ing. Ph.D.
  • Schwarz Jiří, Ing. Ph.D.
Course content
In the 13th week of the semester, the following issues are addressed. Week 1 Excel Week 2 Excel Week 3 Origin Week 4 Origin Week 5 Maple Week 6 Maple Week 7 Maple 8th week Chemical drawing programs ChemDraw and ChemSketch 9th week Chemical drawing programs ChemDraw and ChemSketch 10th week Visualization and drawing program OPChem 11th week Visualization and drawing program OPChem 12th week Statistical program Opstat 13th week Software for processing NMR data - TopSpin and software for processing MS spectra - Xcalibur

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Skills training
  • Participation in classes - 26 hours per semester
Learning outcomes
Teach students to effectively utilize applications for analysis and interpretation of data in the field of chemistry.
Excel: Data manipulation, analysis and visualization using tables, formulas, graphs and pivot tables. OriginPro/OriginLab: Advanced data analysis, curve fitting and graphs. Maple: Math problem solving, algebraic manipulation and equation solving. Numerical simulations and mathematical modeling. ChemDraw and ChemSketch: Drawing and visualization of chemical structure. Representation of organic and inorganic molecules. OPChem: Visualization of molecules and calculation of some physico-chemical properties from experimental data. OP Stat: Mathematical and statistical calculations TopSpin: NMR (nuclear magnetic resonance) data processing and spectral analysis. Xcalibur: Analysis of mass spectrometry data.
Prerequisites
Successful completion of the course Fundamentals of Information Technology (C605).

Assessment methods and criteria
Home assignment evaluation, Systematic monitoring

Basic computer and chemistry skills.
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester