Oliver Kiran Brown

Notes

Warwick

Asorted notes for some of the modules I took at Warwick.

Third Year

  • Summary of Clarice Poon’s Mathematics of Machine Learning. Available here.
  • Summary of Peter Topping's Complex Analysis. Avalible here.
  • Summary of Stefan Adams’s High Dimensional Probability Lecture Notes. Available here .
  • Summary of Krys Latuszynski’s Introduction to Mathematical Statistics. Available here.
  • Notes from John Smillie's Introduction to Topology. Avalible here.
  • Summary of Ferran Brosa Planella's Fluid Dynamics. Avalible here.

Second Year

  • Summary of Mario Micallef’s 2023 Multivariable Calculus. Available here.
  • Summary of Ed Brambley's 2023 Asymptotics and Integral Transforms. Avalible here.
  • Summary of Christian Böhning's Algebra I: Advanced Linear Algebra. Avalible here.
  • Summary of Oleg Zaboronski's Analysis III. Avalible here.
  • Summary of Nicholas Jackson's Algebra II: Groups and Rings. Avalible here
  • Summary of Rohini Ramadas' Norms, Metrics and Topologies. Avalible here.
  • Notes from Introduction to Mathematical Biology. Avalible here.
  • Notes from Combinatorics. Avalible here
  • Mindmap of Helena Verrill's Geometry. Avalible here.
  • Summary of Björn Stinner's Introduction to Partial Differential Equations. Avalible here.

First Year

Old and scrappy but interesting to see the transition from A-level maths to Uni. Quite the jump!

  • Summary notes from Diane Maclagan and Marco Schlichting's Linear Algebra. See Part One and Part Two.
  • Summary of Dave Wood's Differential Equations. Avalible here.
  • Summary of Siri Chongchitnan's Geometry and Motion. Avalible here.
  • Summary of Richard Lissaman's Intro to Abstract Algebra. Avalible here.
  • Summary of Keith Ball's Analysis II. Avalible here.
  • Map of Probability A. Avalible here.

Misc

  • My SustAI Research Proposal. Avalible here.
  • Cambridge Spark Data Science & AI Graduate Scheme Bootcamp. Avalible here.