Module overview
Linked modules
Pre-requisite(s): CHEM2025 and CHEM1055 and CHEM1050 and CHEM1047
Aims and Objectives
Learning Outcomes
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Apply mathematical methods to solve problems in chemistry
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Learn and explain mathematical methods for scientists
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Combine and implement numerical methods to numerically approximate solutions to problems in Chemistry
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Learn and use simple numerical methods for mathematical operations
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Wider reading or practice | 10 |
Preparation for scheduled sessions | 24 |
Lecture | 24 |
Revision | 20 |
Practical classes and workshops | 24 |
Follow-up work | 48 |
Total study time | 150 |
Resources & Reading list
Textbooks
Gene H. Golub, Charles F. van Van Loan (1996). Matrix Computations. Johns Hopkins.
William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery. Numerical Recipes. Cambridge University Press.
E. Steiner (2008). The Chemistry Maths Book. Oxford: OUP.
P. Monk, L.J. Munro (2010). Maths for Chemists. Oxford: OUP.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Workshop activities | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Workshop activities | 100% |
Repeat Information
Repeat type: Internal & External