Department of Materials Science & Engineering Module Description 2012/13 Module Code: MAT2820 Module Title: Computational Modelling with MATLAB Module Convenor: Dr K Travis Module Links: Credits: 10 Semester: 2 Pre-requisites: None Co-requisites: None Brief Description (including aims of the course): This module provides a practical introduction to the most common numerical methods used in Science and Engineering. Basic concepts including numerical data analysis, numerical integration and differentiation, solution of non-linear problems, linear equation solvers and solution methods for differential equations will be covered. A first look at more advanced methods will be given by introducing the concept of Genetic Algorithms. Each lecture will be built around the modelling package, MATLAB. Students will learn both the mathematical theory behind each of these techniques and be able to confidently use MATLAB to solve simple engineering problems using them. This unit introduces students to the most common numerical methods currently in use, and will give them the knowledge and skills needed to work independently from a simple real-world problem in materials science and engineering to a computer-based solution using MATLAB. Course Objectives: By the end of this course, you should be able to: Understand basic numerical techniques; Use numerical methods to solve engineering problems; Understandthe limitations in the numerical methods and inherent errors, Use a computational modelling package: MATLAB to solve materials-related engineering problems; Write short Matlab scripts and codes; Understand the importance of benchmarking in computational work. Assessment: Exam: 50% Lab Report: 50% (2 reports) Booklist (A) Core Test; (B) Secondary Text; (C) Peripheral Reading: (B) Engineering Mathematics and Advanced Engineering Mathematics: both by K. A. Stroud (B) Numerical Methods for Scientists and Engineers by Richard W. Hamming (B) Introduction to MATLAB 6 for Engineers (Basic Engineering Series and Tools) by William J. Palm