This module covers areas such as differential calculus, complex numbers, and matrices that have wide applicability throughout physics. It emphasises problem solving with examples taken from physical sciences.
All physicists must possess a sound grasp of mathematical methods and a good level of 'fluency' in their application. The aim of this module is to provide a firm foundation on which the follow-up module PHY1026 Mathematics II will build.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
A student who has passed this module should be able to:
Module Specific Skills and Knowledge:
1. Make efficient use of the techniques and concepts of foundation-level mathematics: algebra, trigonometry and calculus
2. Make series expansions of simple functions and determine their asymptotic behaviour
3. Perform basic arithmetic and algebra with complex numbers
4. Perform basic operations on matrices and solve systems of simultaneous linear equations
5. Evaluate single, double and triple integrals in straightforward cases
6. Evaluate partial derivatives
Discipline Specific Skills and Knowledge:
7. Tackle, with facility, mathematically formed problems and their solution
Personal and Key Transferable / Employment Skills and Knowledge:
8. Work co-operatively and use peer group as a learning resource
9. Develop appropriate time-management strategies and meet deadlines for completion of work
SYLLABUS PLAN - summary of the structure and academic content of the module
Foundation Mathematics (Preliminary Self-Study and Self-Evaluation Pack):
1. Algebra
2. Trigonometric functions Binomial theorem
3. Curve sketching
Matrices:
1. Matrix addition, subtraction, multiplication
2. Inversion of matrices
3. Applications to the solution of systems of homogeneous and inhomogeneous linear equations
4. Evaluating numerical determinants
5. Introduction to eigenvalues and eigenvectors
Calculus with a Single Variable:
1. Advanced methods of Differentiation
2. Advanced methods of Integration
Calculus with Several Variables:
1. Partial differentiation, the differential, Reciprocal and Reciprocity Theorems, total derivatives of implicit functions, higher order partial derivatives
2. Coordinate systems in 2- and 3-dimensional geometries - Cartesian, plane-polar, cylindrical and spherical polar coordinate systems
3. Two-dimensional and three-dimensional integrals and their application to finding volumes and masses
4. Line integrals: parametrisation; work as a line integral
Sequences, Series, Series Expansions, Limits and Convergence:
1. Sequences and their limits
2. Taylor and Maclaurin series
3. Expansions of standard functions
Complex Numbers:
1. Argand diagram, modulus-argument form, exponential form, de Moivre's theorem
2. Trigonometric functions
3. Hyperbolic functions