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, Sem 1 2018, Sem 1 2019, Sem 1 2020 |
|
MATH2263 |
RMIT University Vietnam |
Undergraduate |
171H School of Science |
Face-to-Face | Viet3 2017, Viet2 2018, Viet1 2020, Viet2 2020 |
Course Coordinator: Dr Yousong Luo
Course Coordinator Phone: +61399252276
Course Coordinator Email: yousong.luo@rmit.edu.au
Course Coordinator Location: 15-4-16
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:
- Apply your knowledge of vector calculus to interpret Maxwell’s equations.
- Employ Z-Transforms to solve first and second order difference equations which arise in electrical engineering applications.
- Describe and apply common statistical methods used in the analysis of signals.
- 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 Canvas 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 Canvas 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