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MA20222: Numerical analysis

Follow this link for further information on academic years Academic Year: 2016/7
Further information on owning departmentsOwning Department/School: Department of Mathematical Sciences
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Intermediate (FHEQ level 5)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 25%, EX 75%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 25%)
  • Examination (EX 75%)
Further information on supplementary assessment Supplementary Assessment:
MA20222 Mandatory extra work (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this unit you must take XX10190 or CM10228 and before or while taking this unit you must take MA20218. Students who have not taken XX10190 must confirm they are aware of the need to program in MATLAB.
Further information on descriptions Description: Aims:
To give an introduction to numerical analysis, including the role of numerical analysis as the foundation for scientific computing. To develop general mathematical skills and to enable students to take final year courses on numerical analysis.

Learning Outcomes:
After taking this unit, students should be able to:
* Demonstrate knowledge of computational methods for the approximation of functions, integrals, and solutions to systems of equations (e.g., linear equations and ordinary differential equations).
* Understand the approximation theory of some computational methods.
* Implement and use these methods in Matlab.
* Write the relevant mathematical arguments in a precise and lucid fashion.

Skills:
Numeracy T/F A
Problem Solving T/F A
Computation skills T/F A
Written and Spoken Communication F (in tutorials).

Content:
Introduction: What is numerical analysis? Floating-point numbers and rounding error. Concepts of convergence and accuracy (e.g., absolute and relative errors, order of convergence).
Nonlinear systems of equations: The fixed-point theorem and root-finding problem. Examples including Newton's method.
Approximation of functions: Polynomial interpolation and error analysis. Applications to numerical integration (e.g., Newton-Cotes formulae, Gauss quadrature, composite rules) and the numerical solution of initial-value problems for ODEs (e.g., the Euler and theta-methods; stability, consistency, and convergence).
Linear systems of equations: Matrix norms and condition numbers. Iterative methods (e.g., Jacobi and Gauss-Seidel) vs direct methods (e.g., row-reduction methods and Gaussian elimination).
Further information on programme availabilityProgramme availability:

MA20222 is Compulsory on the following programmes:

Department of Mathematical Sciences
  • USMA-AFB13 : BSc(Hons) Mathematics (Year 2)
  • USMA-AAB14 : BSc(Hons) Mathematics with Study year abroad (Year 2)
  • USMA-AKB14 : BSc(Hons) Mathematics with Year long work placement (Year 2)

MA20222 is Optional on the following programmes:

Department of Mathematical Sciences

Notes: