# Course Title: Advanced Engineering Mathematics 2

## Part B: Course Detail

Teaching Period: Term2 2009

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: Selva Venkatesan

Phone: 99254964
Email: selva.venkatesan@rmit.edu.au
Office Location: Building 51, Level 7, Room 05

Lecturer: Donna Baker

Phone: 99255085
Email: donna.baker@rmit.edu.au
Office Location: Building 8, Level 9, Room 73

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 starting Week No. Topics 6th July 1 Matrix Theory and Linear Algebra: Definition of matrix, special matrices, matrix algebra: addition, subtraction, scalar multiplication, multiplication. 13th July 2 Transpose, determinant, cofactor, adjoin and inverse of a matrix. Symmetric, skew-symmetric, orthogonal, singular and invertible (non-singular) matrices. 20th July 3 Solving system of linear equations: Cramer’s rule, Matrix Inverse Method 27th July 4 Solving system of linear equations: Gaussian elimination 3rd August 5 Gaussian elimination (continued), Eigenvalues and Eigenvectors 10th August 6 Eigenvalues and Eigenvectors (continued), Modal matrix and Diagonalization 17th August 7 Revision 24th August 8 Mid-Semester Test worth 35% of the total assessment marks 29th Aug – 6th Sept Mid Semester Break 7th September 9 Brief overview of Integral calculus with applications. Classification of differential equations. 14th September 10 Solving First order Differential Equations: Variables separable equations, Linear equations 21st September 11 Linear equations (continued), Solving First order Differential Equations: Homogeneous equations. 28th September 12 Applications to Engineering problems: Growth and decay problems, Newton’s law of cooling/heating, Electrical problems 5th October 13 Second order Differential Equations: Second order homogeneous equations with constant coefficients 12th October 14 Second order non-homogeneous equations with constant coefficients , Applications to electrical circuits 19th October 15 Statistics: Measures of Central Tendency and measures of Dispersion 26th October 16 Revision 2nd & 9th November 17 & 18 End of Semester Test worth 55% 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 35% of the total assessment marks
• End of the Semester Test worth 55% of the total assessment marks
• An assignment worth 10% 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