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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

ELEC9103: Simulations and Numerical Solutions in Eng

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.

Details

Academic unit Electrical and Information Engineering
Unit code ELEC9103
Unit name Simulations and Numerical Solutions in Eng
Session, year
? 
Semester 2, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
? 
ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics.

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Mahyar Shirvani Shirvanimoghaddam, mahyar.shirvanimoghaddam@sydney.edu.au
Type Description Weight Due Length
Assignment group assignment Lab Report
tudents need to submit a report for each lab.
15% Multiple weeks n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Tutorial quiz Mid-Semester Quiz
Mid-semester quiz to cover Week 1 to 5 content.
30% Week 06 90 Minutes
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO7 LO8
Assignment group assignment Assignment
Students work in groups to explore data analysis tools.
25% Week 08 n/a
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Tutorial quiz End of Semester Quiz
To cover week 6-12 Content.
30% Week 12 90 Mimutes
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7 LO8
group assignment = group assignment ?

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.

For more information see sydney.edu.au/students/guide-to-grades.

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.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, 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 dishonesty or plagiarism seriously.

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

WK Topic Learning activity Learning outcomes
Week 01 Introduction to Matlab Lecture (1 hr) LO1 LO2
Lab Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 02 Programming in Matlab 1 Lecture (1 hr) LO1 LO2
Tutorial 1 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 03 Programming in Matlab 2 Lecture (1 hr) LO1 LO2
Tutorial 2 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 04 1. Symbolic math; 2. Circuits 1 Lecture (1 hr) LO1 LO2
Tutorial 3 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 05 1. Laplace transform; 2. Circuits 2 Lecture (1 hr) LO1 LO2
Tutorial 4 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 06 Lag compensation Lecture (1 hr) LO1 LO2
Tutorial 5 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 07 1. Statistics; 2. Data files Lecture (1 hr) LO1 LO2
Tutorial 6 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 08 1. Numerical methods; 2. Matrices Lecture (1 hr) LO1 LO2
Tutorial 7 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 09 Differential equations Lecture (1 hr) LO1 LO2
Tutorial 8 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 10 Signals and linear systems Lecture (1 hr) LO1 LO2
Tutorial 9 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 11 1. Lag compensation; 2. Revision Lecture (1 hr) LO1 LO2
Tutorial 10 Tutorial (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 12 Review Lecture (1 hr) LO1 LO2
Tutorial 11 Science laboratory (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8

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.

Prescribed readings

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 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.

Graduate qualities

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.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
The unit has been updated according to student feedback and comments.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

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