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The tools of calculus are used to understand the universe making it essential for all mathematical modelling. This course introduces the idea of multi-variable functions through partial differentiation and PDEs. Follows from OUDCE's 'Beginning Calculus'.
Linear algebra and its matrices appear throughout the sciences and in the mathematical parts of the social sciences. This basic course is a prerequisite to understanding advanced mathematics and myriad closely and distantly related quantitative fields.
Extending single variable calculus to higher dimensions, exploring differentiation and integration in the context of curves, surfaces, and vector fields. Students will discover unifying ideas through major results such as Stokes’ and Divergence Theorems.
Linear Algebra is fundamental to Geometry, Statistics, Analysis and most topics in Mathematics. From solving linear equations to abstraction, this course develops deeper knowledge with rigorous proofs. This follows on from Linear Algebra: Introduction.
The tools of calculus are used to understand the universe making it essential for all mathematical modelling. This course introduces the idea of multi-variable functions through partial differentiation and PDEs. Follows the 'Beginning Calculus' course.
This course will introduce statistics to at a beginner-level, covering measures of central tendency, dispersion, probability theory and inferential statistics.
Linear algebra and its matrices appear throughout the sciences and in the mathematical parts of the social sciences. This basic course is a prerequisite to understanding advanced mathematics and myriad closely and distantly related quantitative fields.
Infectious disease modelling utilises data and our understanding of disease biology to provide public health insights. Aimed at a general audience, this course will cover methods for modelling disease transmission in statistical programming language R.
Discover the core mathematical methods used in economics and learn essential quantitative skills. Designed for those studying economics or related fields, with no prior A-level mathematics required.
Linear algebra and its matrices appear throughout the sciences and in the mathematical parts of the social sciences. This basic course is a prerequisite to understanding advanced mathematics and myriad closely and distantly related quantitative fields.
Calculus is a 'sine qua non' for studying more advanced mathematics, physics, statistics, machine learning and data science. This course will introduce you to the vocabulary and techniques that open the panorama of science and engineering.
Mathematics can be used to describe patterns around the spread of infectious diseases and predict future trends. Aimed at a general audience, this course will cover key mathematical concepts for building and analysing models of disease transmission.
