8475 modules
Page 519
-
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 -
IFYP0018 2025-26
Mathematics and Statistics
This module provides you with a foundation in mathematics and statistics which will allow you a smooth
transition to an undergraduate module containing quantitative material. -
GENG0002 2025-26
Mathematics B
This module offers an introduction to the differential and integral calculus that underpins engineering mathematics. -
GENG0002 2026-27
Mathematics B
This module offers an introduction to the differential and integral calculus that underpins engineering mathematics. -
AICE1004 2026-27
Mathematics for Artificial Intelligence and Computer Engineering (I)
This module provides students with some fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on applying mathematical proofs to solve computer science problems as well as introducing basic concepts and techniques in linear algebra and calculus. In addition to theoretical treatments, there will be laboratory applications using Python and Jupyter to visualize, manipulate and explore mathematics. -
AICE1004 2025-26
Mathematics for Artificial Intelligence and Computer Engineering (I)
This module provides students with some fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on applying mathematical proofs to solve computer science problems as well as introducing basic concepts and techniques in linear algebra and calculus. In addition to theoretical treatments, there will be laboratory applications using Python and Jupyter to visualize, manipulate and explore mathematics. -
AICE1008 2025-26
Mathematics for Artificial Intelligence and Computer Engineering (II)
This module provides students with fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on probability, statistical inference, combinatorics, optimization techniques, calculus – partial derivatives and ordinary differential equations, and symbolic maths. There will be laboratory applications using Python and Jupyter to visualise, manipulate and explore these topics. -
AICE1008 2026-27
Mathematics for Artificial Intelligence and Computer Engineering (II)
This module provides students with fundamental mathematical concepts relevant to applications in AI and CE. The focus will be on probability, statistical inference, combinatorics, optimization techniques, calculus – partial derivatives and ordinary differential equations, and symbolic maths. There will be laboratory applications using Python and Jupyter to visualise, manipulate and explore these topics. -
ECON1008 2026-27
Mathematics for Economics
This module provides a bridge between A-level mathematics and university mathematics. It provides a good grounding and an in depth understanding of the theory and application of differential calculus, and other techniques widely used in Economics and Finance. It is aimed at students who hold an A level in Mathematics at Grade B or above.
Topics of study include functions, univariate optimisation, elasticity, financial mathematics, multivariate optimisation, constrained optimization, matrices, integration, difference and differential equations, and Taylor/Maclaurin series expansions.
The module is designed to prepare students for more advanced quantitative modules in 2nd and 3rd year. It also complements the teaching of first year microeconomics and macroeconomics modules.