DRAFT. This version of the catalogue is a draft version and subject to change.
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Last modified: 30 Apr 2026 12:46
Join us for the opportunity to further your studies in chemistry and develop your laboratory and computational skills relevant to drug design and discovery. The programme will cover elements of molecular modelling, basic synthetic skills and analytical techniques used for structural characterisation. Students will also benefit from the chance to immerse themselves in the life and culture of the North-East of Scotland, participate in a number of social/cultural activities organised alongside the programme, and explore an area of the world they might never have thought to visit.
| Study Type | Undergraduate | Level | 2 |
|---|---|---|---|
| Term | Third Term | Credit Points | 10 credits (5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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Over two weeks the programme will cover the following topics, all with a focus on drug design and discovery. Each topic will be covered by lectures and practical exercises:
• "Analytical chemistry”
• "Basic aspects of synthetic chemistry"
• “Computational techniques in chemistry”
• "Structural characterisation and spectroscopy”
• "Medicinal chemistry”
• "Biological chemistry”
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 75 | |
|---|---|---|---|---|
| Assessment Weeks | 49,50 | Feedback Weeks | 49,50 | |
| Feedback |
Students will provide 5 short reports for each lab experiment/theoretical exercise. Some practical exercises may be taken in groups, e.g. involving instrumental analysis in the STH – decision individual vs group will be based on actual numbers of participants and available instrumentation (e.g. only 3 UV-Vis spectrometers are available). |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Solve problems and apply data analysis in the areas of drug design and discovery. |
| Procedural | Understand | Perform experiments related to drug design and discovery, learn and understand how to use equipment, and understand how to obtain accurate and precise results. |
| Reflection | Analyse | Analyse and productively use feedback from marked work, and in-class discussions to identify errors and misconceptions, to improve future work. Actively participate in lectures, labs, and tutorials. |
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | 50 | Feedback Weeks | 50 | |
| Feedback |
Students will present 5 – 10 min talk about one of their experiments and will get informal feedback during the session. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Analyse | Analyse, manipulate, and evaluate lab data using numeracy, graphical, and IT skills. Present data, analysis, and conclusions in a clear and appropriate manner. |
| Reflection | Analyse | Analyse and productively use feedback from marked work, and in-class discussions to identify errors and misconceptions, to improve future work. Actively participate in lectures, labs, and tutorials. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Resit only failed elements, previously passed assessment elements are carried forward. Lab reports will be submitted via MyAberdeen, individual presentations via Teams etc.
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Understand | Perform experiments related to drug design and discovery, learn and understand how to use equipment, and understand how to obtain accurate and precise results. |
| Procedural | Apply | Solve problems and apply data analysis in the areas of drug design and discovery. |
| Procedural | Analyse | Analyse, manipulate, and evaluate lab data using numeracy, graphical, and IT skills. Present data, analysis, and conclusions in a clear and appropriate manner. |
| Reflection | Analyse | Analyse and productively use feedback from marked work, and in-class discussions to identify errors and misconceptions, to improve future work. Actively participate in lectures, labs, and tutorials. |
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