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Advanced Mathematical Methods. COMP3006 Introduction to the course. Introduction. 2 sections Maths-Dr. Karen Page & Statistics –Dr. Simon Prince Maths until reading week. Course contact details. All communication concerning this course will be done via the email list.

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advanced mathematical methods

Advanced Mathematical Methods


Introduction to the course

  • 2 sections
  • Maths-Dr. Karen Page & Statistics –Dr. Simon Prince
  • Maths until reading week
course contact details
Course contact details
  • All communication concerning this course will be done via the email list.
  • Please join by sending an email with

Subject: join

  • to
  • Information also on the websites:

lectures and examples classes
Lectures and examples classes
  • Check the website for timetable changes
  • Until reading week:

lectures Thurs 9-10, MPEB 1.04

Fri 9-10, MPEB 1.13

Fri 12-1, MPEB 1.13

examples class Thurs 10-11, MPEB 1.04 (with Dr. Ged Ridgway); starting 12th October

  • 85% exam
  • 15% coursework
  • Maths coursework= average of homework grades
  • I’ll set several exercises per lecture
  • To help pass exam you should try to do all of these before the exam
  • 2 per lecture = 6 per week are mandatory for coursework
  • You will get credit for serious attempts
  • Bring solutions for the week to the next examples class, attach coursework coversheet (
  • I will attend examples classes to mark your work (for undergraduates only)
  • Handouts will be partial copies of overheads
  • They will contain spaces which you’ll need to fill
useful books
Useful books
  • Axler “Linear algebra done right” 2nd edition (Springer)
  • Boas “Mathematical methods in the physical sciences” 2nd edition (Wiley)
  • **Bourne and Kendall “Vector analysis and Cartesian tensors” 3rd edition (Chapman and Hall)
  • ***Kreyszig “Advanced Engineering Mathematics” 8th edition (Wiley)
  • Pinkus and Zafrany "Fourier Series and Integral Transforms" 1st edition (Cambridge University Press)
  • **Any books in the Schaum series on relevant topics
motivation section 1 mathematics
Motivation- Section 1 mathematics

Syllabus consists of two areas:

  • Linear algebra & calculus

These build on courses B45 & B46 and are designed to give a general education in mathematics which will be useful for further courses in fourth year :

intelligent systems

machine vision and virtual environments

many other useful applications: financial world, game theory in economics, bioinformatics, mathematical and computational biology


Option pricing:

Black-scholes’ stochastic differential equation


Sequence comparison and microarray expression matrices

  • Week 1: Basic topics in linear algebra, Gaussian elimination, complex numbers, eigenvalues and eigenvectors (easy stuff)
  • Week 2: Differential vector calculus, including method of steepest descents
  • Week 3: Integral vector calculus- Green’s theorem, Divergence theorem, Stokes’ theorem
  • Week 4: Fourier series (complex), Fourier transforms, Laplace transforms
  • Week 5: Further linear algebra- Gram-Schmidt, special complex matrices, orthogonal diagonalisation, spectral decomposition, singular values decomposition
  • Note: The 2nd lecture will be on complex numbers. If you haven’t done this before, try to do lots of exercises (you’ll need to be familiar with this for later lectures)