Course Title: Advanced Engineering Mathematics 2

Part B: Course Detail

Teaching Period: Term2 2008

Course Code: MATH5155

Course Title: Advanced Engineering Mathematics 2

School: 155T Life & Physical Sciences

Campus: City Campus

Program: C6011 - Advanced Diploma of Engineering (Aerospace)

Course Contact : Selva Venkatesan

Course Contact Phone: +61 3 9925 4964

Course Contact Email:selva.venkatesan@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Lecturer: Dr. Ejanul Haque

Phone: 99251834
Email: ejanul.haque@rmit.edu.au
Office Location: Building 8, Level 9, Room 14

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

MATH5153 Advanced Engineering Mathematics 1

Course Description

The purpose of this course is to provide participants with the skills, knowledge and attitudes required to further extent the concepts learned in Advanced Mathematics 1. Areas of study include Integral Calculus, Complex Numbers, Differential Equations, Statistics and Linear Algebra. The course aims to show the relevance of mathematics to engineering and applied science.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

VBH625 Advanced Engineering Mathematics 2


Learning Outcomes


1. Apply the principles of Integral Calculus to solve a variety of practical problems in Engineering and Applied Science.
2. Express Complex Numbers in Cartesian, Polar, Trigonometric, Exponential and Logarithmic form, and use the theory of complex numbers to solve various practical problems in Engineering and Applied Science.
3. Apply the theory of first and Second Order Differential Equitations to solve various practical problems involving the Kinematics and Kinetics of Resisted Gravitational, Simple Harmonic and Vibratory Motion.
4. Describe and represent graphically statistical data in terms of measures of Central Tendency and measures of Dispersion.
5. Use a variety of Matrix and Numerical methods, including the use of appropriate computer software to solve Systems of Equations


Details of Learning Activities

The learning activities for this course include:
• Attending lectures at which the course content will be presented and taught with appropriate examples
• Completing the assigned questions during class time
• Private study, consolidating the material provided/recommended in class and completing all required exercises and other tasks.


Teaching Schedule

Teaching Schedule
Week startingWeek No.Topics
7th July1Matrix Theory and Linear Algebra:
Definition of matrix, special matrices, matrix algebra: addition, subtraction, scalar multiplication, multiplication.
14th July2 Transpose, determinant, cofactor, adjoin and inverse of a matrix. Symmetric, skew-symmetric, orthogonal, singular and invertible (non-singular) matrices.
21st July3 Solving system of linear equations: Cramer’s rule, Matrix Inverse Method
28th July4 Solving system of linear equations: Gaussian elimination
4th August5 Gaussian elimination (continued), Eigenvalues and Eigenvectors
11th August6 Eigenvalues and Eigenvectors (continued), Modal matrix and Diagonalization
18th August7 Revision
25th August8 Mid-Semester Test worth 50% of the total assessment marks
1st – 5th SeptemberMid Semester Break
8th September9Brief overview of Integral calculus with applications. Classification of differential equations.
15th September10

 Solving First order Differential Equations: Variables separable equations, Linear equations

22nd September11 Linear equations (continued), Solving First order Differential Equations: Homogeneous equations.
29th September12 Applications to Engineering problems: Growth and decay problems, Newton’s law of cooling/heating, Electrical problems
6th October13 Second order Differential Equations: Second order homogeneous equations with constant coefficients
13th October14Second order non-homogeneous equations with constant coefficients , Applications to electrical circuits
20th October15 Statistics: Measures of Central Tendency and measures of Dispersion
27th October16 Revision
3rd & 10th November17 & 18 End of Semester Test worth 50% of the total assessment marks
   


Learning Resources

Prescribed Texts

The resources include the lecture notes, a recommended text, and other references available in the
library . Recommended Text: Mathematical Methods for Engineers and Scientists
By G.F. Fitzgerald and I.A. Peckham
Publishers: Pearson Education Australia


References

References:
1. Advanced Engineering Mathematics 9th Ed.
By Erwin Kreyszig
Publishers: John Wiley and Sons 2.Advanced Engineering Mathematics
By K.A. Stroud with additions by Dexter J. Booth; 4th Ed.
Publishers: Palgrave MacMillan


Other Resources

Required Calculator:

TI 83/TI 83+/TI 84/TI 84+


Overview of Assessment

Assessment consists of a Mid-Semester test, and Assignment and a Final Examination.


Assessment Tasks

The assessment for this course will consist of:
• Mid-Semester Test worth 50% of the total assessment marks
• End of the Semester Test worth 50% of the total assessment marks

A minimum of 50% of the total mark is required to pass this course.


Assessment Matrix

Course Overview: Access Course Overview