Course Title: Mathematics for ECE

Part A: Course Overview

Course Title: Mathematics for ECE

Credit Points: 12.00


Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2161

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

MATH2161

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2017

MATH2263

RMIT University Vietnam

Undergraduate

171H School of Science

Face-to-Face

Viet3 2017

Course Coordinator: Dr Michael Nyblom

Course Coordinator Phone: +(61 3) 9925 2189

Course Coordinator Email: E34317@ems.rmit.edu.au

Course Coordinator Location: 8.9.31


Pre-requisite Courses and Assumed Knowledge and Capabilities

You are expected to have capabilities consistent with the successful completion of MATH2160 or its equivalent.


Course Description

 

MATH2161 Mathematics for ECE is a core component of the electrical and computer engineering bachelor degrees. It provides an opportunity to develop the requisite range of skills relevant to a wide range of sub-disciplines existing within the field of Electrical and Computer Engineering.

In this course you will be introduced to a range of mathematical concepts identified as fundamental to enhance your progress in studying related Engineering courses. These mathematical topics build upon the material covered in the prerequisite course MATH2160 Engineering Mathematics A. You will develop the mathematical maturity required to become a well-grounded engineer.


Objectives/Learning Outcomes/Capability Development

 

This course contributes to the following Program Learning Outcome

Knowledge and Skill Base:

1.2 Conceptual understanding of mathematics, numerical analysis, statistics, computer and information sciences which underpin the engineering discipline

 

BH069 Bachelor of Engineering (Sustainable Systems Eng) (Honours)/Bachelor of Industrial Design (Honours)

BH071 Bachelor of Engineering (Electronic and Communication Engineering) (Honours)

BH075 Bachelor of Engineering (Electrical Engineering) (Honours);

BH073 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours);

BH072 Bachelor of Engineering (Computer and Network Engineering) (Honours):

BH081 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours);

BH091 Bachelor of Engineering (Computer and Network Engineering) (Honours)/Bachelor of Computer Science

BH109 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (Entrepreneurship)

BH110 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (International Business)

BH111 Bachelor of Engineering (Electrical and Electronic Engineering) (Honours)/ Bachelor of Business (Management)


 

On completion of this course you should be able to:

  1. Apply your knowledge of vector calculus to interpret Maxwell’s equations.
  2. Employ Z-Transforms to solve first and second order difference equations which arise in electrical engineering applications.
  3. Describe and apply common statistical methods used in the analysis of signals.
  4. Identify appropriate root finding schemes to find the poles and zeros of commonly occurring algebraic equations in electric networks.


Overview of Learning Activities

Key concepts and their application will be explained and illustrated (with many examples) in lectures and in online notes. Supervised problem-based practice classes will build your capacity to solve problems, to encourage you to think critically and analytically and provide  feedback on your academic progress. Four Closed Book Tests (for assessment) and practice classes (not for assessment) will consolidate your knowledge of the topics presented in class. Supplementary exercises found on Blackboard in the form of problems and self-help tutorial questions will provide a focus for your private study.


Overview of Learning Resources

 

A prescribed textbook will be nominated. Students will also be able to access the following online learning resources :

Weekly Lecture Notes

Full solutions to Practice Classes/ Closed Book Tests.

Past exam papers.

These learning resources can be accessed from MATH2161 Blackboard  via The Learning Hub  at http://www.rmit.edu.au/online

A library guide is available at http://rmit.libguides.com/mathstats


Overview of Assessment

 

Assessment tasks

 

Early Assessment Task: Closed Book Test 1

Weighting 12.5%

This assessment task supports CLO 1

 

Assessment Task 2: Closed Book Test 2  

Weighting 12.5%

This assessment task supports CLO 2

 

Assessment Task 3: Closed Book Test 3

Weighting 12.5%

This assessment task supports CLO 3

 

Assessment Task 4:Closed Book Test 4

Weighting 12.5% 

This assessment supports CLO  4

 

Assessment Task 5:Final Exam

Weighting 50%

This assessment supports CLOs: 1, 2, 3 and 4