# Engineering Computations 2

Course code MECH2450
Available in 2016
Units 10
Level 2000

## Description

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.

### Availability

#### UoN Singapore

• Trimester 1 - 2016 (Singapore)

#### Callaghan

• Semester 2 - 2016

### Learning Outcomes

On successful completion of the 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

### Assumed Knowledge

GENG1003 and MATH2310

### Assessment Items

Written Assignment: Assignment 1

Written Assignment: Assignment 2

Quiz: Quiz 1

Quiz: Quiz 2

Formal Examination: Formal Examination

### Contact Hours

#### Callaghan and UoN Singapore

##### Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term

##### Lecture

Face to Face On Campus 3 hour(s) per Week for Full Term

Students enrolled in the part-time evening programme at UoN Singapore will receive equivalent instruction delivered in a block mode of 7 teaching weeks

##### Tutorial

Face to Face On Campus 3 hour(s) per Week for Full Term