Part A: Course Overview

Course Title: Circuit and System Simulation

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

EEET1415

City Campus

Undergraduate

125H Electrical & Computer Engineering

Face-to-Face

 Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

EEET1415

City Campus

Undergraduate

172H School of Engineering

Face-to-Face

 Sem 1 2019,
Sem 1 2020,
Sem 1 2023,
Sem 1 2025

EEET1415

City Campus

Undergraduate

172H School of Engineering

Internet

 Sem 1 2021

Course Coordinator: Dr Jianzhen Ou

Course Coordinator Phone: +61 3 9925 2946

Course Coordinator Email: jianzhen.ou@rmit.edu.au

Course Coordinator Location: 10.10.007

Course Coordinator Availability: by appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Recommended Prior Study  

You should have satisfactorily completed or received credit for the following course/s before you commence this course: 

• MATH2160 Engineering Mathematics A,
• MATH2161 Mathematics for ECE,
• EEET2248 Engineering Methods, and
• EEET2249 Circuit Theory

Assumed Knowledge

Prior knowledge of Matlab and SPICE is necessary.

If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer. 

Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning. 

Please follow the link for further information on how to apply for credit for prior study or experience. 

 


Course Description

This course develops skills required for appropriate modelling and simulation of electronic circuits and systems. Numerical methods, device modelling, advanced simulation of analogue circuit, and simulation of digital systems are at the core of this course. 
Major topic areas are:

  • Numerical methods
  • Parametric, Temperature and Performance analyses
  • Statistical analyses: Monte Carlo, Sensitivity, Worst Case
  • Analogue and Digital Simulation

If you are enrolled in this course as a component of your Bachelor Honours Program, your overall mark will contribute to the calculation of the Weighted Average Mark (WAM).  

See the WAM information web page for more information. 


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BH073 Bachelor of Engineering (Electrical and Electronic Engineering) for students who commenced their program prior to 2023:

     1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
     2.1 Application of established engineering methods to complex engineering problem solving.
     2.2 Fluent application of engineering techniques, tools and resources

This course contributes to the following Program Learning Outcomes for BH073 Bachelor of Engineering (Electrical and Electronic Engineering) for students who commenced their program in 2023:

  • PLO1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering.
  • PLO2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges. 
  • PLO4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity. 


Upon successful completion of this course, you will be able to:

  1. Apply numerical methods to circuit and system simulation
  2. Apply advanced considerations in circuit and system simulation
  3. Design and implementation of simulation setup
  4. Interpret, extract, analyse and present simulation result


Overview of Learning Activities

You are expected to actively participate in pre-recorded lectures, practical laboratories /simulation experiments, assignments and research project works.

Lectures in this course tend to deliver basic information and examples of different nature for different applications. Labs will deliver a guided ground for students to review and implement examples. Laboratory will be conducted throughout the semester.

There will be one design assessment and one design project with optional sub-topics covering different aspects of the course. Main topics will be identified by the lecturer. Marking criteria will be discussed in the lectures. 


Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through our online systems.


Overview of Assessment

This course has no hurdle requirements.


Assessment tasks

Assessment Task 1: Laboratory Assessment
Weighting 40%
This assessment task supports CLOs 1, 2, 3, 4

Assessment Task 2: Assignment (Individual)
Weighting 20%
This assessment task supports CLOs 1, 2, 3, 4

Assessment Task 3: Design Project (Group)
Weighting 40%
This assessment task supports CLOs 1, 2, 3, 4