Module finder

This module is suitable for students with A level Mathematic (grade B or higher). – Students with AS level Mathematics are required to take MATH1004 instead.

The aim of the module is to provide students with the necessary skills and confidence to apply a range of mathematical methods to problems in the physical sciences. Both MATH1006 and MATH1008
cover essentially the same topics in calculus that are of relevance to applications in the physical sciences but MATH1008 is aimed at students taking degrees in chemistry, geology and oceanography. Physics students should take MATH1006.

The aim of the module is to provide students with the necessary skills and confidence to apply a range of mathematical methods to problems in physics. The module begins by looking at vectors in 2 and 3 dimensions, introducing the dot and cross products, and discussing some simple applications. This is followed by a section on matrices, determinants, and eigenvalue problems. The course then reviews polynomial equations and introduces complex numbers. After this, some basic abstract concepts related to functions and their inverses are discussed. The main part of the unit covers the basics of calculus, starting with limits, and going on to look at derivatives and Taylor series. The concept of integration is then defined, followed by an exploration (by means of examples) of various methods of integration.

One of the pre-requisites for MATH1007, MATH1049, MATH2015 and MATH3072

This module is suitable for students with A level Mathematic (grade B or higher). – Students with AS level Mathematics are required to take MATH1004 instead.

The aim of the module is to provide students with the necessary skills and confidence to apply a range of mathematical methods to problems in the physical sciences. Both MATH1006 and MATH1008
cover essentially the same topics in calculus that are of relevance to applications in the physical sciences but MATH1008 is aimed at students taking degrees in chemistry, geology and oceanography. Physics students should take MATH1006.

The aim of the module is to provide students with the necessary skills and confidence to apply a range of mathematical methods to problems in physics. The module begins by looking at vectors in 2 and 3 dimensions, introducing the dot and cross products, and discussing some simple applications. This is followed by a section on matrices, determinants, and eigenvalue problems. The course then reviews polynomial equations and introduces complex numbers. After this, some basic abstract concepts related to functions and their inverses are discussed. The main part of the unit covers the basics of calculus, starting with limits, and going on to look at derivatives and Taylor series. The concept of integration is then defined, followed by an exploration (by means of examples) of various methods of integration.

One of the pre-requisites for MATH1007, MATH1049, MATH2015 and MATH3072

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.

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.

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.

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.

- 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.

- 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.

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.