ELEC2103: Simulation and Numerical Solutions in Engineering (2013 - Semester 2)
| Unit: | ELEC2103: Simulation and Numerical Solutions in Engineering (6 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Intermediate |
| Faculty/School: | School of Electrical and Information Engineering |
| Unit Coordinator/s: |
A/Prof Calvo, Rafael
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| Session options: | Semester 2 |
| Versions for this Unit: | |
| Site(s) for this Unit: |
http://elearning.sydney.edu.au |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Prohibitions: | COSC1001 OR COSC1901. |
| 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: | ELEC1103. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics. |
| Lecturer/s: |
A/Prof Simpson, Steve
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| Timetable: | ELEC2103 Timetable | |||||||||||||||||||||||||
| Time Commitment: |
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| 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 (Level 2) |
| Use of engineering software such as Matlab in the context of circuit theory, control, systems, symbolic algebra and various applied mathematical areas. | Engineering/IT Specialisation (Level 3) |
| Fundamental engineering knowledge applied to problems with Matlab, including second order circuits. | Maths/Science Methods and Tools (Level 2) |
| Use of information resources in assignments and computer laboratory with concomitant critical information assessment for engineering application. | Information Seeking (Level 2) |
| Communicate clearly and effectively using varied formats, as appropriate for computer laboratory team tasks, written reports and assignments. | 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. Work on laboratory projects to achieve specified goals with partner(s). Plan and complete assignment project. |
Professional Conduct (Level 1) |
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
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 (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.
Engineering/IT Specialisation (Level 3)
2. Ability to use Matlab proficiently for specific analysis, including LCR circuits, system analysis with Laplace transforms and other engineering specific applications.
Maths/Science Methods and Tools (Level 2)
3. Ability to demonstrate understanding of the concepts of applied mathematics in the context of specific engineering problems.
Information Seeking (Level 2)
4. Ability to select and synthesise information from various resources for specific engineering projects.
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 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.
Project Management and Teamwork (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: |
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| Assessment Description: |
Assignment: Assignment submission Log Book: Lab performance and Notebook Final Exam: Final Examination |
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| Grading: |
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| Faculty Policies & Procedures: | Academic Honesty in Coursework. All students must submit a cover sheet for all assessment work that declares that the work is original and not plagiarised from the work of others. Coursework assessment and examination policy. The faculty policy is to use standards based assessment for units where grades are returned and criteria based assessment for Pass/Fail only units. Norm referenced assessment will only be used in exceptional circumstances and its use will need to be justified to the Undergraduate Studies Committee. Special consideration for illness or misadventure may be considered when an assessment component is severely affected. This policy gives the details of the information that is required to be submitted along with the appropriate procedures and forms. Special Arrangements for Examination and Assessment. In exceptional circumstances alternate arrangements for exams or assessment can be made. However concessions for outside work arrangements, holidays and travel, sporting and entertainment events will not normally be given. Student Appeals against Academic Decisions. Students have the right to appeal any academic decision made by a school or the faculty. The appeal must follow the appropriate procedure so that a fair hearing is obtained. Note that policies regarding assessment submission, penalties and assessment feedback depend upon the individual unit of study. Details of these policies, where applicable, will be found above with other assessment details in this unit outline. All university policies can be found at http://sydney.edu.au/policy Various request forms for the Faculty of Engineering and IT can be found at http://sydney.edu.au/engineering/forms/ |
| Prescribed Text/s: |
Note: Students are expected to have a personal copy of all books listed.
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| Online Course Content: | http://elearning.sydney.edu.au |
| 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://elearning.sydney.edu.au for the schedule. The schedule is subject to change to accommodate class needs. |
| Exam Period | Assessment Due: Final Exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| Design (Level 2) | Yes | 28.57% |
| Engineering/IT Specialisation (Level 3) | Yes | 27.14% |
| Maths/Science Methods and Tools (Level 2) | Yes | 28.57% |
| Information Seeking (Level 2) | Yes | 3.57% |
| Communication (Level 2) | Yes | 5% |
| Professional Conduct (Level 1) | Yes | 3.57% |
| Project Management and Teamwork (Level 1) | No | 3.57% |
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.
