Computational chemistry
General data
Course ID: | 0600-S2-O-PCT/sr |
Erasmus code / ISCED: |
13.3
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Course title: | Computational chemistry |
Name in Polish: | Chemia obliczeniowa |
Organizational unit: | Faculty of Chemistry |
Course groups: |
(in Polish) Stacjonarne studia drugiego stopnia - Chemia - Semestr 1 |
ECTS credit allocation (and other scores): |
0 OR
2.00
(depends on study program)
|
Language: | Polish |
Prerequisites: | The student has knowledge of mathematics and physics, and is welcome, but not necessary, basic knowledge of quantum chemistry. |
Total student workload: | 1. Hours realized with the participation of teachers (contact hours) 30h 2. Time devoted to individual student work (preparation for the laboratory) 20h |
Learning outcomes - knowledge: | The student acquires knowledge of conducting elementary computations with the use of the Gamess computational program. The student knows how to use the Molden graphics program. (K_W01, K_W02, K_W08) |
Learning outcomes - skills: | After completing the laboratory in computational chemistry, the student should be able to carry out elementary computations using the Gamess computational program (in particular, be able to write input files, correct errors in these files, be able to find important numerical results in the obtained output files) and analyze the obtained results and assess the degree of their credibility. The student should be able to consciously use Molden's graphics program. (K_U01, K_U10) |
Learning outcomes - social competencies: | The student knows the limitations of his own knowledge and understands the need for further learning throughout life; is able to independently take steps to expand and deepen his chemical knowledge. Is able to cooperate in a team and creatively solve problems related to scientific research. Can properly set priorities to solve a chemical problem identified by himself or by others. Is aware of professionalism, appreciating intellectual honesty and adherence to professional ethics, both in the activities of his own and others. Can formulate and present opinions on the basics chemical issues and achievements in this discipline. (K_K01, K_K02, K_K05, K_K06, K_K07) |
Teaching methods: | Didactic searching methods - computer laboratory. Classes in a laboratory, i.e. a computer lab, consist of working together with the teacher and independent work, completed with the implementation of student's own project. |
Exploratory teaching methods: | - laboratory |
Short description: |
The computational chemistry laboratory is a practical learning to consciously use the Gamess computational program, used to describe the electronic structure of atoms and molecules, and the Molden graphics program. |
Full description: |
The following topics are discussed and practiced in the laboratory: the basics of the Linux operating system, the vi text editor, the basics of group theory, including determination of point groups of molecules, structure of the input file, determination of the geometry of the molecule (Cartesian coordinates and internal coordinates (Z- matrix)), basic Gamess program commands, job execution, output file structure, basics of using Molden graphics program, single point (SP) calculation, geometry optimization, normal vibration analysis, basis sets, Hartree-Fock method. 1. Basics of the Linux operating system. 2. Text editor vi. 3. Basics of the Gamess computational program: a) general program requirements b) the structure of the input file c) determining the point group of molecules d) basic commands of the Gamess computational program e) execution of jobs f) basic user errors 4. Determining the geometry of the molecule (Cartesian coordinates and Z-matrix) 5. Structure of the output file. 6. Basics of Molden graphics program. a) Molden as the Z-matrix editor b) Molden as a tool helping in results visualization 7. Computation of the total energy of a system ('single point' (SP)). 8. Geometry optimization. 9. Vibrational (frequency) analysis 10. Using basis sets: a) basis sets from the program's own library b) using basis sets from an external source c) modification of a basis set d) the influence of a basis set on the obtained results 11. Utilizing the Hartree-Fock method |
Bibliography: |
Basic literature: 1. Gamess website: https://www.msg.chem.iastate.edu/gamess/index.html 2. Molden website: https://www3.cmbi.umcn.nl/molden/ 3. Teacher's own notes. Supplementary literature: 1. W. Kołos, Chemia kwantowa, PWN, 1975 2. L. Piela - Idee chemii kwantowej, PWN 2003. 3. F. Jensen, Introduction to Computational Chemistry, Wiley, Germany, 2008. |
Learning outcomes: |
(in Polish) Student powinien umieć posługiwać się na poziomie podstawowym programen obliczeniowym Gamess oraz programem graficznym Molden, wykonywać obliczenia, analizować wyniki i określać ich wiarygodność. |
Assessment methods and assessment criteria: |
Grading (based on active participation in labs, short tests if done, and student's own projects). |
Practical placement: |
not applicable |
Classes in period "Summer semester 2021/22" (past)
Time span: | 2022-02-21 - 2022-09-30 |
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MO TU W TH FR LAB
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Type of class: |
Laboratory, 30 hours
|
|
Coordinators: | Mirosław Jabłoński | |
Group instructors: | Mirosław Jabłoński | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Grading
Laboratory - Grading |
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