CH20023: Computational chemistry laboratory
[Page last updated: 21 April 2022]
Academic Year: | 2022/3 |
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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Requisites: | |
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. |
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. |
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 a Designated Essential Unit on the following programmes:Department of Chemistry
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Notes:
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