11312 modules
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GSCI0010 2026-27
Mathematics for Scientists
This module is designed to provide students with the mathematics knowledge and skills required for a successful transition to degree-level study in disciplines related to the chemical and biological sciences. The material covered is at a level corresponding to pre-university qualifications such as AS level in the UK. -
COMP1311 2025-26
Mathematics I
This module aims to:
- Introduce the logical and mathematical foundations of computer science.
- Illustrate the use of formal languages in computer science, including in algorithms and programming.
- Extend students' mathematical sophistication and skills.
- Present basic concepts and techniques of combinatorics, statistics and probability.
- Give mathematical background necessary for other compulsory modules.
- Develop the study skills necessary for students to learn new concepts of mathematics and programming (including those we do not cover in the degree).
- Instill a range of useful problem solving skills. -
COMP1311 2027-28
Mathematics I
This module aims to:
- Introduce the logical and mathematical foundations of computer science.
- Illustrate the use of formal languages in computer science, including in algorithms and programming.
- Extend students' mathematical sophistication and skills.
- Present basic concepts and techniques of combinatorics, statistics and probability.
- Give mathematical background necessary for other compulsory modules.
- Develop the study skills necessary for students to learn new concepts of mathematics and programming (including those we do not cover in the degree).
- Instill a range of useful problem solving skills. -
COMP1311 2026-27
Mathematics I
This module aims to:
- Introduce the logical and mathematical foundations of computer science.
- Illustrate the use of formal languages in computer science, including in algorithms and programming.
- Extend students' mathematical sophistication and skills.
- Present basic concepts and techniques of combinatorics, statistics and probability.
- Give mathematical background necessary for other compulsory modules.
- Develop the study skills necessary for students to learn new concepts of mathematics and programming (including those we do not cover in the degree).
- Instill a range of useful problem solving skills. -
COMP1321 2026-27
Mathematics II
This module aims to cover the continuous mathematics that's required for the computer science and software engineering programmes. -
COMP1321 2027-28
Mathematics II
This module aims to cover the continuous mathematics that's required for the computer science and software engineering programmes. -
COMP1321 2025-26
Mathematics II
This module aims to cover the continuous mathematics that's required for the computer science and software engineering programmes. -
AICE3001 2029-30
Mathematics of Machine Learning
Machine Learning is about extracting useful information from large and complex datasets. Although driven by applications, the techniques used are based on a broad mathematical basis. This course provides the mathematical foundations of the subject from functional analysis through to optimisation, convexity and information theory. -
AICE3001 2027-28
Mathematics of Machine Learning
Machine Learning is about extracting useful information from large and complex datasets. Although driven by applications, the techniques used are based on a broad mathematical basis. This course provides the mathematical foundations of the subject from functional analysis through to optimisation, convexity and information theory. -
AICE3001 2028-29
Mathematics of Machine Learning
Machine Learning is about extracting useful information from large and complex datasets. Although driven by applications, the techniques used are based on a broad mathematical basis. This course provides the mathematical foundations of the subject from functional analysis through to optimisation, convexity and information theory.