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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'.
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.
A residential short course on machine learning of wearables datasets, connecting post-graduate and post-doctoral researchers from academia and industry with experts at Oxford's Big Data Institute and Nuffield Department of Population Health.
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.
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.
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.
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.
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.
A flexible online statistics course for busy health and social care professionals who need to understand the basics of health statistics without becoming statisticians.
This module will introduce basic questions and concepts in data ethics, as well as more general philosophical questions about the practical ethical issues raised by living in a data centric society.
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'.
