MECH2450

Engineering Computations 2

Faculty of Engineering and Built Environment School of Engineering

10 Units 2000 Level Course

Available in 2014

Callaghan Campus	Semester 2
UoN Singapore	Trimester 1

Previously offered in 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004

Introduces the principles of engineering computations and probability/statistics. Its purpose is to develop the student's ability to write MATLAB code to solve numerical and statistical problems of engineering interest.

Objectives

By the end of this course students will be able to:

1. To understand and implement basic numerical algorithms for computing solutions of single nonlinear equations and systems of linear equations. To understand and implement the basics of the linear algebra.

2. To understand and implement algorithms for interpolation, curve fitting, numerical differentiation, and numerical integration.

3. To understand and implement numerical methods for solving parabolic and hyperbolic partial differential equations.

4. Demonstrate an understanding of the key concepts of probability and Bayesian inference.

5. Formulate and solve problems dealing with probability and statistics with engineering applications.

6. Demonstrate practical skill in Monte Carlo simulation

Content

The content of the course includes:

1. The numerical solution of a single nonlinear equation, systems of linear equations, ordinary differential equations, and partial differential equations.

2. The numerical implementation of interpolation and curve fitting.

3. An introduction to probability and distribution theory targeted mainly to mechanical engineering applications.

4. Monte Carlo simulation: theory and practice.

5. Introduction to Bayesian statistical inference with applications to common engineering probability models

Replacing Course(s)

Not Applicable

Transition

Not Applicable

Industrial Experience

Assumed Knowledge

GENG1003 and MATH2310

Modes of Delivery

Internal Mode

Teaching Methods

Lecture
Tutorial
Computer Lab

Assessment Items

Examination: Class	Note, any modification to the assessment arrangement will appear on the course outline normally issued in week 1.
Other: (please specify)	Progessive assessment in the form of Assignments and Tutorial Work
Quiz - Class	There will be three class quizes.

Contact Hours

Tutorial: for 3 hour(s) per Week for Full Term
Lecture: for 3 hour(s) per Week for Full Term
Computer Lab: for 2 hour(s) per Week for Full Term

Timetables