Undergraduate Course: Advanced Topics in Chemical Physics (CHPH11004)
Course Outline
| School | School of Chemistry |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | The Advanced Topics in Chemical Physics course will provide training in the fundamental theory of atomic, molecular, optical, and chemical physics, as well as cutting edge concepts and an introduction to advanced experimental techniques. The course will be taught as a mixture of lectures and tutorials, which provide the basic theory, as well as practical exercises/projects that provide insight into cutting-edge research topics. |
| Course description |
The course consists of a Python-based introductory workshop on machine learning and a related project, lectures that present the core theoretical and experimental material and tutorials that provide training in problem solving. There are also two additional practical elements. Firstly, an exercise in which students prepare a pedagogical oral presentation based on a recent and relevant research paper. Secondly, a small-group exercise in which students develop a video presentation of one of the lecture topics. The various elements introduce specific computational, problem-solving and communication skills. Students will be assessed on their performance in the Machine Learning project, tutorial hand-ins and the oral and video presentations.
It is for MChemPhys and MChemPhysX students only.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2024/25, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Full Year |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Seminar/Tutorial Hours 15,
Supervised Practical/Workshop/Studio Hours 6,
Feedback/Feedforward Hours 4,
Formative Assessment Hours 2,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
147 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
In-course assessment including Machine Learning project (20%), tutorial hand-in exercises (20%), oral presentation of research paper (40%) and group video assignment (20%). |
| Feedback |
Feedback will be provided on the four assessed components of the course: direct feedback (coaching) as students complete their Machine Learning workshops and exercises; verbal and written feedback on the Machine Learning project report, tutorial hand-in exercises and the content and style of oral presentation on assigned topic; group feedback on video assignment. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Solve problems in atomic, molecular, optical, and chemical physics.
- Use Python to build and assess machine learning models.
- Critically analyse and interpret results presented in the literature.
- Survey the scientific literature in a given field, and successfully summarise recent research progress in the form of an oral presentation.
- Prepare a video presentation on a relevant chemical physics topic as part of a small team.
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Reading List
Recommended Reading:
Physics of Atoms and Molecules, B.H. Bransden & C.J. Joachain (Pearson Education Ltd, 2nd ed. 2003)
Molecular Quantum Mechanics, P.W. Atkins & R.S. Friedman (Oxford Univ. Press, 5th Ed., 2010)
White, A. D. (2022). Deep Learning for Molecules and Materials. Living Journal of Computational
Molecular Science, 3(1), 1499. https://doi.org/10.33011/livecoms.3.1.1499
Deisenroth, M.P. et al. (2020) Mathematics for Machine Learning, Cambridge University Press
https://mml-book.github.io
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Additional Information
| Graduate Attributes and Skills |
1. Develop professional research skills
2. Develop oral communication skills
3. Ability to work in teams
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| Keywords | ATCP,chemical physics,advanced topics |
Contacts
| Course organiser | Prof Eleanor Campbell
Tel: (0131 6)50 4729
Email: eleanor.campbell@ed.ac.uk |
Course secretary | Mr Craig Smith
Tel: (0131 6)50 4710
Email: c.smith34@ed.ac.uk |
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