CH20023: Computational chemistry laboratory
Academic Year: | 2019/0 |
Owning Department/School: | Department of Chemistry |
Credits: | 3 [equivalent to 6 CATS credits] |
Notional Study Hours: | 60 |
Level: | Intermediate (FHEQ level 5) |
Period: |
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Assessment Summary: | PR 100% |
Assessment Detail: |
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Supplementary Assessment: |
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Description: | Aims: The principal aims of this practical introduction to the use of computational packages for molecular modelling as tools for the solution of chemical problems are to: * Provide an introductory experience in computational chemistry. * Build on Python skills developed during Year 1. * Introduce a range of techniques in molecular modelling and chemical IT. * Consolidate knowledge from lectures by hands-on visualisation and calculation. * Improve interpretive skills and report writing. * Enhance time management skills. Learning Outcomes: After studying this Unit, students should be able to: * Build and manipulate computational molecular models to assist interpretation of chemical structure, bonding and properties * Use computer packages to perform calculations to optimise molecular geometry, determine atomic charges and electrostatic potentials, display molecular orbitals and normal modes of vibration * Use Python, implemented in Jupyter notebooks, for data analysis and modelling. Skills: Practical skills (F, T, A), report writing (F, A), data analysis (F, A). Content: The exercises in this unit complement the material presented within the other parts of the chemistry programme. Use of Python to write functions that can be combined into simulation models; molecular mechanics calculations to assess conformational flexibility; molecular orbital calculations to optimise molecular geometries, calculate normal modes of vibration and determine atomic charges and electrostatic potentials. |
Programme availability: |
CH20023 is Optional (DEU) on the following programmes:Department of Chemistry
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Notes:
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