Click here for general information about course choices.
Courses on this site are structured by the years they are typically taken in. However, if a course is normally taken in a later (or earlier) year, it does not necessarily mean that you cannot take it now.
Course level is generally a good indicator of course difficulty. Courses of level up to and including 9 are normally taken in years 1 and 2, while level 10 and 11 courses are typically taken in years 3 through 5. If you are on an MMath degree, you are required to take a total of 120 credits of level 11 courses over the years 4 and 5, the 40-credit dissertation in year 5 counts towards this total.
Please don't hesitate to contact your P.T. or the course organizer of the course if you have special requirements or are overwhelmed. For example, if there is a specific course that you would like to take outside of the typical regime, do not be afraid to ask these people for advice and/or a concession for the course.
Note that while the school advises against overloading on course credits, there is nothing actually stopping you from doing this. However, with an increased load your academic performance may suffer. Quite often, 20 credit and 10 credit courses require a similar amount of effort to do well in.
General info Edit on GitHub
- A helpful article offering advice on proof writing can be downloaded as a PDF here.
Engineering Mathematics 1a December exam Edit on GitHub
The course is a first university level course for Engineering students. It provides key basic mathematical skills and leads naturally to calculus in MATH08074 Engineering Mathematics 1b.
This course is restricted to students for whom it is a compulsory part of their Degree Programme.
Relevant reading available online
- “Mathematics for Science and Engineering 1”, adapted from Modern Engineering Mathematics, 4th Edition by Glyn James. ISBN: CU.James: Modern Maths Pack 2013.
Fundamentals of Algebra and Calculus Edit on GitHub
An introductory course in University Mathematics covering topics not covered in the previous education of many incoming undergraduates on degrees involving Mathematics.
You must also be taking MATH08057 Introduction to Linear Algebra.
Introduction to Data Science course website Edit on GitHub
A great introductory course on how to get useful information from data. Particularly useful if you are interested in statistics and/or want to acquire some basic computing skills (the R programming language is used in this course). You will also learn how to use git (and GitHub) – so that you can actively contribute to Better Mathematics! 👩💻
The resources are very well prepared and are all available on the course website and the course repository. Oh and it’s coursework only! The coursework has individual (60%) and team (40%) components.
No statistical or computing background is required as a pre-requisite.
Introduction to Linear Algebra Edit on GitHub
An introduction to linear algebra, mainly in \( \mathbb{R}^n \) but concluding with an introduction to abstract vector spaces. The principal topics are vectors, systems of linear equations, matrices, eigenvalues and eigenvectors and orthogonality. The important notions of linear independence, span and bases are introduced.
Resources
- Matrix Mindmap from Gesina
- Exam advice and revision sheet
- Concept maps good for seeing the big picture in the course
- Linear algebra explained in 4 pages good resource to give you general idea. Might be worthwhile to go through it before the start of the course.
- Explanatory videos from Mathapptician
- Khan Academy videos
- Essence of Linear Algebra (videos)
- 42 - calc app capable of Eigenstuff and other linear algebra
- Subspaces, basis etc
Relevant reading available online
Introductory Mathematics with Applications Edit on GitHub
A foundational course in Mathematics focused on non-specialist students willing to consolidate and build their previous mathematics education to better prepare for a wide variety of degrees.
Mathematics for the Natural Sciences 1a December exam Edit on GitHub
The course is a first university level course for students of Chemistry and related disciplines. It provides key basic mathematical skills and leads naturally to calculus in MATH08073 Mathematics for the Natural Sciences 1b.
This course is restricted to students who are also taking CHEM08016 Chemistry 1a or by agreement of the Course Organiser.