Undergraduate Course: Computing and Numerics (MATH08065)
|School||School of Mathematics
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 8 (Year 2 Undergraduate)
||Availability||Available to all students
|Summary||This course introduces numerical methods, which are now an essential component in a diverse range of disciplines. Topics in numerical simulation, image progressing, and optimisation can often be translated into problems which can be efficiently solved on a computer. We will introduce numerical methods, specifically using MATLAB.
The course will cover :
- Solutions of linear systems - Creation and manipulation of Matlab arrays. Flow control and looping. Gaussian elimination with partial pivoting.
- Curve fitting - Plotting in Matlab. Polynomial fitting and the normal equations.
- Numerical differentiation and integration - Vectorisation. Numerical precision. Numerical quadrature.
- Root finding - Fixed point iteration, recursive bisection, Newton iteration, and secant iteration.
Within these topics students will be introduced to :
- The MATLAB programming environment
- MATLAB variables and in-built functions
- Floating point arithmetic
- Flow control
- MATLAB script and function files
- Plotting with MATLAB
- Symbolic expressions in MATLAB
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2017/18, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 11,
Supervised Practical/Workshop/Studio Hours 22,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
|No Exam Information
On completion of this course, the student will be able to:
- Experience in the use of MATLAB.
- The ability to investigate mathematical problems using a scientific programming language.
- An awareness of fundamental numerical algorithms which are used to solve mathematical problems.
- The ability to create well formatted MATLAB scripts and functions.
- The ability to communicate the principles and purposes of scientific computer codes.
|Book 1: MATLAB Primer, Eighth Edition. Timothy A. Davis. CRC Press (Aug 2010). |
Book 2: Introduction to Scientific Computing using Matlab. Ian Gladwell, Warren Ferguson, James Nagy. lulu.com (Aug 2011). (These books may also be helpful for Y3 and later courses based on MATLAB.)
|Graduate Attributes and Skills
|Course organiser||Dr James Maddison
Tel: (0131 6)50 5036
|Course secretary||Mr Martin Delaney
Tel: (0131 6)50 6427