Course Title: Mathematics for ECE
Part A: Course Overview
Course Title: Mathematics for ECE
Credit Points: 12.00
Important Information:
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, Sem 1 2021, Sem 1 2022, Sem 1 2023 |
MATH2263 |
RMIT University Vietnam |
Undergraduate |
171H School of Science |
Face-to-Face |
Viet3 2017, Viet2 2018, Viet1 2020, Viet2 2020, Viet1 2021, Viet3 2021, Viet1 2022, Viet3 2022, Viet1 2023, Viet3 2023, Viet1 2024, Viet3 2024 |
Course Coordinator: Lewi Stone
Course Coordinator Phone: +61 3 9925 1728
Course Coordinator Email: Lewi.stone@rmit.edu.au
Course Coordinator Location: 15-4-21
Course Coordinator Availability: By appointment, by email
Pre-requisite Courses and Assumed Knowledge and Capabilities
Required Prior Study
You should have satisfactorily completed following course/s before you commence this course.
Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.
Contact your course coordinator if you think you may be eligible for recognition of prior learning.
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 and solidify your knowledge of vector calculus in the context of engineering.
- Employ Z-Transforms and Fourier transforms to solve first and second order difference equations and differential equations which arise in electrical engineering applications.
- Describe and apply common probabilistic and statistical methods used in the electrical and computer engineering (ECE)
- Identify appropriate root finding schemes to find the poles or 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. The course will build your capacity to solve problems, to encourage you to think critically and analytically and provide feedback on your academic progress. Supplementary exercises found on Canvas in the form of problems and self-help tutorial questions will provide a focus for your private study.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
Assessment Tasks
Assessment 1: Continuous online quiz assessment
Weighting 10%
This assessment task supports CLOs 1 & 3
Assessment Task 2: In class timed tests
Weighting 25%
This assessment task supports CLO 1
Assessment Task 3: Take Home Assignment
Weighting 30%
This assessment task supports CLO 2
Assessment Task 4: Final timed in class assessment
Weighting 35%
This assessment task supports CLOs 1, 2, 3 & 4
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.