Statistical and Combinatorial Methods in Chemistry
Course: Chemistry (Master)
Structural unit: Faculty of Chemistry
Title
Statistical and Combinatorial Methods in Chemistry
Code
ОК.05
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
Р01. Knowledge to understand key chemical concepts, essential facts, concepts, principles, and theories relating to natural sciences, life and earth sciences, as well as chemical technologies at a level sufficient for professional application and to enable further deep understanding of specialized fields of chemistry.
Р03. Skill to describe chemical data in symbolic form.
Р08. To know principles and procedures of physical, chemical, physicochemical research methods, typical equipment, and instruments.
Р09. Skill to plan and perform a chemical experiment, to apply suitable methods and techniques for preparation of solutions and reagents.
Р10. Skill to apply basic principles of thermodynamics and chemical kinetics to solve professional tasks.
Р14. Skill to perform experimental work to test hypotheses and investigation of chemical phenomena and regularities.
Form of study
Full-time form
Prerequisites and co-requisites
1. Have knowledge of general chemistry at the undergraduate level in Chemistry.
2. Knowledge of mathematics at the undergraduate level in Chemistry.
3. Know the basics of statistical analysis at the undergraduate level in Chemistry.
4. Have knowledge of organic chemistry at the undergraduate level in Chemistry.
Course content
In the course "Statistical and Combinatorial Methods in Chemistry" masters study the variety of criteria (parametric and nonparametric) that allow interpreting, describing and comparing experimental data. Also study the sources of substances with useful biological activity (hits): combinatorial synthesis, synthesis of modulated hits; biological targets, search and optimization of hits, clinical studies, structure-activity relationship (QSAR); drug design, docking, solid-phase combinatorial synthesis, methods of combinatorial chemistry, screening.
Recommended or required reading and other learning resources/tools
1. Ishchenko O.V., Mikhalchuk V.M., Bila N.I., Gaidai S.V., Bily O.V. Statistical methods in chemistry.–Donetsk: DonNU. - 2012. - 505 p.
2. Bobyk O. I., Berehova G. I., Kopytko B. I. Probability theory and mathematical statistics. — K.: VD "Professional", 2007. — 560p.
3. Anisimov V.V., Chernyak O. I Mathematical statistics. — K.: Lesya, 1995. — 104 p.
4. Ishchenko O.V., Yatsymirskyi V.K., Gaidai S.V. Statistical methods. - K.: LAT&K. - 2009. - 319 p.
5. Nicolaou K. C., Hanko R., Hartwig W. Handbook of Combinatorial Chemistry. — Wiley-VCH Verlag GmbH, 2002.
6. Bannwarth W., Hinzen B. Combinatorial Chemistry (Second Revised Edition). — Wiley-VCH Verlag GmbH & Co. KGaA, 2006.
Planned learning activities and teaching methods
Lectures, Practical classes.
Assessment methods and criteria
Maximum / minimum number of points that can be obtained by a student is 100/60:
1. Test 1: 35/21 points.
2. Test 2: 35/21 points.
3. Polling - 10/6 points.
4. Evaluation of independent work:20/12 points.
Language of instruction
Ukrainian language
Lecturers
This discipline is taught by the following teachers
Oleksandr
Olehovych
Grygorenko
Organic Chemistry Department
Faculty of Chemistry
Faculty of Chemistry
Snizhana
V.
Gaidai
Physical Chemistry Department
Faculty of Chemistry
Faculty of Chemistry
Departments
The following departments are involved in teaching the above discipline
Organic Chemistry Department
Faculty of Chemistry
Physical Chemistry Department
Faculty of Chemistry