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ELEC2103: Simulation and Numerical Solutions in Engineering (2009 - Semester 2)

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Unit: ELEC2103: Simulation and Numerical Solutions in Engineering (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Intermediate
Faculty/School: School of Electrical & Computer Engineering
Unit Coordinator/s:
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: http://www.eelab.usyd.edu.au/elec2103/
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: 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 optimization, 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.
Assumed Knowledge: Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics.
Lecturer/s: Dr Sathiakumar, Swamidoss
Timetable: ELEC2103 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.00 1 13
2 Laboratory 3.00 1 13
3 Independent Study 4.00 13
4 Project Work - own time 3.00 4
T&L Activities: Independent Study: Prepare next class topic and come with questions in mind; read textbook and make use of other information resources.

Project Work - own time: Carry out research and complete the assignment project and report

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Application of specific engineering software such as Matlab, to solve both clearly and non-clearly defined problems. Design and Problem Solving Skills (Level 2)
Use of engineering software such as Matlab in the context of circuit theory, control, systems, symbolic algebra and various applied mathematical areas. Discipline Specific Expertise (Level 3)
Fundamental engineering knowledge applied to problems with Matlab, including second order circuits. Fundamentals of Science and Engineering (Level 2)
Use of information resources in assignments and computer laboratory with concomitant critical information assessment for engineering application. Information Skills (Level 2)
Communicate clearly and effectively using varied formats, as appropriate for computer laboratory team tasks, written reports and assignments. Professional Communication (Level 2)
Understanding of the engineering environment, professional and ethical standards through teamwork in laboratory, case studies in lectures and laboratory, the assignment project and open discussion. Professional Values, Judgement and Conduct (Level 1)
Work on laboratory projects to achieve specified goals with partner(s). Plan and complete assignment project. Teamwork and Project Management (Level 1)

For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design and Problem Solving Skills (Level 2)
1. Ability to analyse and solve problems using Matlab in command mode and by writing m-files and displaying results in specific engineering problems.
Discipline Specific Expertise (Level 3)
2. Ability to use Matlab proficiently for specific analysis, including LCR circuits, system analysis with Laplace transforms and other engineering specific applications.
Fundamentals of Science and Engineering (Level 2)
3. Ability to demonstrate understanding of the concepts of applied mathematics in the context of specific engineering problems.
Information Skills (Level 2)
4. Ability to select and synthesise information from various resources for specific engineering projects.
Professional Communication (Level 2)
5. Ability to communicate clearly and effectively in laboratory team tasks and written reports.
6. Ability to communicate in written and computer-based format to deliver meaningful summaries of engineering project work.
Professional Values, Judgement and Conduct (Level 1)
7. Ability to 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.
Teamwork and Project Management (Level 1)
8. Ability to work constructively in a team by clarifying collaborative duties and encouraging contribution from all members to achieve specific engineering project goals.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment No 8.00 Multiple Weeks 1, 2, 3, 4, 6, 7, 8,
2 Log Book Yes 8.00 Multiple Weeks 1, 3, 4, 5, 6, 7, 8,
3 Mid-Sem Exam No 12.00 Week 7 1, 2, 3,
4 Final Exam No 72.00 Exam Period 1, 2, 3,
Assessment Description: Assignment: Assignment submission

Log Book: Lab performance and Notebook

Mid-Sem Exam: Mid Semester Test

Final Exam: Final Examination
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: The faculty attempts to maintain consistency and quality in its T&L operations by adhering to Academic Board policy. These policies can be found on the Central Policy Online site. A brief summary of the relevant T&L policies that should be referred to while filling in these forms can be found at the Faculty of Engineering and Information Technologies Policy Page.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Online Course Content: http://www.eelab.usyd.edu.au/elec2103/
Note on Resources: Modern Control Systems, R. C. Dorf and R. H. Bishop, 8th edition, Addison-Wesley,

1998.

An Engineer’s Guide to MATLAB, 2nd Edn, Edward Magrab et al, Prentice Hall, 2005.

Electrical Engineering: Principles and Applications, 4th Edn, A. R .Hambley, Pearson

2008 [circuits].

Introduction to Electric Circuits, 6th Edn, R. C. Dorf and J. A. Svoboda, Wiley, 2004

[circuits].

Mastering MATLAB 7, D. Hanselman and B. Littlefield, Prentice Hall, 2005.

Numerical Methods with MATLAB Implementation and Application, Gerald Recktenwald, Prentice Hall, 2000.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Refer to http://www.eelab.usyd.edu.au/ELEC2103/index.html for the schedule. The schedule is subject to change to accommodate class needs.
Week 7 Assessment Due: Mid-Sem Exam
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Computer Engineering / Commerce 2010
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Commerce 2011, 2012
Electrical Engineering (Bioelectronics) / Medical Science 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2011, 2012
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Law 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Law 2011, 2012, 2013, 2014
Electrical / Project Management 2019+ 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical / Arts (2022 and earlier) 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Arts 2023+ 2023, 2024, 2025
Electrical / Commerce 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Commerce 2023+ 2023, 2024, 2025
Electrical / Project Management 2015, 2016, 2017, 2018
Electrical / Science 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Electrical / Science - Mid Year 2023, 2024, 2025
Electrical / Law 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022
Electrical / Law 2023+ 2023, 2024, 2025
Electrical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Biomedical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020
Biomedical Engineering 2016, 2017, 2018, 2019, 2020
Software Engineering (mid-year) 2016, 2017, 2018, 2019, 2020, 2023, 2024, 2025
Software / Project Management 2019+ 2023, 2024, 2025
Software Engineering 2015, 2016, 2017, 2018, 2019, 2020, 2023, 2024, 2025
Software / Arts 2023+ 2023, 2024, 2025
Software / Commerce 2023+ 2023, 2024, 2025
Software / Science 2023, 2024, 2025
Software / Science - Mid Year 2023, 2024, 2025
Software / Law 2023+ 2023, 2024, 2025
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Software Engineering / Law 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design and Problem Solving Skills (Level 2) Yes 30.28%
Discipline Specific Expertise (Level 3) Yes 29.14%
Fundamentals of Science and Engineering (Level 2) Yes 30.28%
Information Skills (Level 2) Yes 2.29%
Professional Communication (Level 2) Yes 3.43%
Professional Values, Judgement and Conduct (Level 1) Yes 2.29%
Teamwork and Project Management (Level 1) Yes 2.29%

These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.