Module overview
Linked modules
Pre-requisite(s): CHEM2025 and CHEM1055 and CHEM1050 and CHEM1047
Aims and Objectives
Learning Outcomes
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
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
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Learn and use simple numerical methods for mathematical operations
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Apply mathematical methods to solve problems in chemistry
Syllabus
Learning and Teaching
Teaching and learning methods
Type | Hours |
---|---|
Revision | 20 |
Practical classes and workshops | 24 |
Lecture | 24 |
Preparation for scheduled sessions | 24 |
Follow-up work | 48 |
Wider reading or practice | 10 |
Total study time | 150 |
Resources & Reading list
Textbooks
E. Steiner (2008). The Chemistry Maths Book. Oxford: OUP.
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.
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