Unit of study_

# ELEC9103: Simulations and Numerical Solutions in Eng

## Overview

Objectives: How to apply the software package Matlab to achieve engineering solutions; Critical assessment of various computer numerical techniques; Professional project management, teamwork, ethics. This unit assumes an understanding of the fundamental concepts and building blocks of electrical and electronics circuits. As well as covering the specific topics described in the following paragraphs, it aims to develop skills in professional project management and teamwork and promote an understanding of ethics. Basic features of Matlab. The Matlab desktop. Interactive use with the command window. Performing arithmetic, using complex numbers and mathematical functions. Writing script and function m-files. Matrix manipulations. Control flow. Two dimensional graphics. Application of Matlab to simple problems from circuit theory, electronics, signals and systems and control. Investigation of the steady state and transient behaviour of LCR circuits. Matlab based numerical solutions applicable to numerical optimisation, ordinary differential equations, and data fitting. Introduction to symbolic mathematics in Matlab. Applications, including the derivation of network functions for simple problems in circuit analysis. Introduction to the use of Simulink for system modelling and simulation.

### Unit details and rules

Unit code ELEC9103 Electrical and Information Engineering 6 ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901 None None ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics. No

## Assessment

Type Description Weight Due Length
Assignment Lab Report
tudents need to submit a report for each lab.
15% Multiple weeks n/a
Outcomes assessed:
Tutorial quiz Mid-Semester Quiz
Mid-semester quiz to cover Week 1 to 5 content.
30% Week 06 90 Minutes
Outcomes assessed:
Assignment Assignment
Students work in groups to explore data analysis tools.
25% Week 08 n/a
Outcomes assessed:
Tutorial quiz End of Semester Quiz
To cover week 6-12 Content.
30% Week 12 90 Mimutes
Outcomes assessed:
= group assignment

### Assessment summary

Detailed information for each assessment can be found on Canvas.

### Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Distinction

75 - 84

Credit

65 - 74

Pass

50 - 64

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

### Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

• Deduction of 5% of the maximum mark for each calendar day after the due date.
• After ten calendar days late, a mark of zero will be awarded.

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

## Learning support

### Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

### Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

### Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

## Weekly schedule

WK Topic Learning activity Learning outcomes
Week 01 Introduction to Matlab Lecture (1 hr)
Lab Tutorial (3 hr)
Week 02 Programming in Matlab 1 Lecture (1 hr)
Tutorial 1 Tutorial (3 hr)
Week 03 Programming in Matlab 2 Lecture (1 hr)
Tutorial 2 Tutorial (3 hr)
Week 04 1. Symbolic math; 2. Circuits 1 Lecture (1 hr)
Tutorial 3 Tutorial (3 hr)
Week 05 1. Laplace transform; 2. Circuits 2 Lecture (1 hr)
Tutorial 4 Tutorial (3 hr)
Week 06 Lag compensation Lecture (1 hr)
Tutorial 5 Tutorial (3 hr)
Week 07 1. Statistics; 2. Data files Lecture (1 hr)
Tutorial 6 Tutorial (3 hr)
Week 08 1. Numerical methods; 2. Matrices Lecture (1 hr)
Tutorial 7 Tutorial (3 hr)
Week 09 Differential equations Lecture (1 hr)
Tutorial 8 Tutorial (3 hr)
Week 10 Signals and linear systems Lecture (1 hr)
Tutorial 9 Tutorial (3 hr)
Week 11 1. Lag compensation; 2. Revision Lecture (1 hr)
Tutorial 10 Tutorial (3 hr)
Week 12 Laplace Transform and LTI systems Lecture (1 hr)
Tutorial 11 Science laboratory (3 hr)
Week 13 Review Lecture (1 hr)

### Attendance and class requirements

• Study commitment: Students are required to prepare the next class’ topic and come with questions in mind; read the textbook and make use of other information resources. Students are also required to carry out research and complete the assignment project and report in their own time.
• Independent study: Prepare next class topic and come with questions in mind; read textbook and make use of other information resources. 4 hours of independent study is expected each week.
• Project work (own time): Carry out research and complete the assignment project and report.

### Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

• William Palm III, Introduction to Matlab for Engineers (3rd). McGraw-Hill, 2011. 978-0-07-353487-9.
• Sandeep Nagar, Introduction to MATLAB for Engineers and Scientists, Apress, 2017. 978-1-4842-3188-3.
• Jamal T. Manassah, Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using Matlab (2nd). Taylor & Francis, 2007. 978-0-8493-7425-8.
• David Houcque, Introduction to Matlab for Engineering Students, Northwestern University, 2005.

## Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

• LO1. analyse and solve problems using Matlab in command mode and by writing m-files and displaying results in specific engineering problems
• LO2. use Matlab proficiently for specific analysis, including LCR circuits, system analysis with Laplace transforms and other engineering specific applications
• LO3. demonstrate an understanding of the concepts of applied mathematics in the context of specific engineering problems
• LO4. select and synthesise information from various resources for specific engineering projects
• LO5. communicate clearly and effectively in laboratory team tasks and written reports
• LO6. communicate in written and computer-based format to deliver meaningful summaries of engineering project work
• LO7. demonstrate an understanding of the engineering environment, professional and ethical standards to the limit of lectures, assignment, laboratory, group work, case studies and class discussion
• LO8. work constructively in a team by clarifying collaborative duties and encouraging contribution from all members to achieve specific engineering project goals.

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

 GQ1 Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline. GQ2 Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem. GQ3 Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context. GQ4 Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies. GQ5 Inventiveness Generating novel ideas and solutions. GQ6 Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues. GQ7 Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries. GQ8 Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context. GQ9 Influence Engaging others in a process, idea or vision.