8498 modules
Page 520
-
CHEM1047 2025-26
Mathematical Methods in Chemistry I
The module provides advanced mathematics training necessary for students planning to specialise in physical chemistry, computational chemistry, spectroscopy, data science and quantitative finance. It also aims to provide training of rational reasoning skills in a subject-independent way: studying mathematical proofs and derivations introduces a more rigorous logical system than practical or applied skills training alone.
First year students should be aware that this module requires A-level mathematics. There are no pre-requisite modules for second and third year students. -
CHEM2024 2026-27
Mathematical Methods in Chemistry II
This module provides training in advanced mathematics and numerical methods that will allow in-depth understanding and solving of problems in physical chemistry, computational chemistry, and spectroscopy. It will also provide transferable skills that can be applied to other areas such as data science and quantitative finance. It involves learning to solve problems both “on paper” and on a computer by developing code in Python. -
MATH3017 2027-28
Mathematical Programming
- Linear programs: their basic properties; the simplex algorithm.
- Duality: the relationship between a linear program and its dual, duality theorems, complementarity, and the alternative; sensitivity analysis.
- The interior point method for convex optimization: optimality conditions; the central path; convergence analysis; applications to linear programming and general convex optimization.
- Integer Programming: Branch and bound algorithms and/or cutting plane methods.
- The use of a computer software to solve mathematical programming problems. -
MATH3017 2028-29
Mathematical Programming
- Linear programs: their basic properties; the simplex algorithm.
- Duality: the relationship between a linear program and its dual, duality theorems, complementarity, and the alternative; sensitivity analysis.
- The interior point method for convex optimization: optimality conditions; the central path; convergence analysis; applications to linear programming and general convex optimization.
- Integer Programming: Branch and bound algorithms and/or cutting plane methods.
- The use of a computer software to solve mathematical programming problems. -
CHEM1062 2026-27
Mathematical Skills and Analytical Methods for Chemists
This course is designed to develop key mathematical and analytical chemistry skills. The course will introduce student who have not studied A-level maths to the key mathematical concepts required for successful completion of the chemistry degree. This will be taught alongside an introduction to analytical chemistry that can provide qualitative or quantitative information about the chemical composition of a sample.
The analytical chemistry components of the module will provide an introduction into the fundamentals of chemical analysis, including an understanding of sample preparation, chromatographic separations, and some of the most important analytical techniques today, including IR, NMR, Raman and UV-visible spectroscopies, and mass spectrometry. -
CHEM1052 2025-26
Mathematical Skills for Chemists
-
ELEC1310 2026-27
Mathematics
This course is designed to develop fundamental mathematical skills which engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox through practical examples based on case studies from academia and industry -
ELEC1310 2025-26
Mathematics
This course is designed to develop fundamental mathematical skills which engineers need in order to tackle a wide variety of engineering and design problems. There is a particular focus on developing an understanding of mathematics as a toolbox through practical examples based on case studies from academia and industry -
GENG0001 2025-26
Mathematics A
This module offers an introduction to the algebra and trigonometry that underpin engineering mathematics -
GENG0001 2026-27
Mathematics A
This module offers an introduction to the algebra and trigonometry that underpin engineering mathematics