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ELEC1004: Practical Introduction to Electrical Engineering (2019 - Semester 2)

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Unit: ELEC1004: Practical Introduction to Electrical Engineering (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Junior
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Sathiakumar, Swamidoss
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit of study aims to expose the students with fundamental (basic) concepts of different specializations within electrical engineering and give them hands on experience to develop the required engineering skills. The unit is based on extensive laboratory work covering Measuring skills using basic electrical instruments, Soldering skills to make electronic circuits and test them, Computer programming skills including real time programming and simulation programming, Use of internet technology, Wireless technology, Renewable energy technology.
Assumed Knowledge: HSC Physics and Mathematics
Timetable: ELEC1004 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 12
3 Independent Study 5.00 1 13
T&L Activities: Lectures: Provide theory and introduction to laboratory works. The main learning happens in the labs.

Laboratory: Hands on lab work on using basic electrical instruments, Soldering skills, Computer programming skills, Use of internet technology, wireless technology, Renewable energy technology.

Independent Study: Preparation for labs and lectures

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
Use lab experiments to gain understanding of various specializations within electrical engineering. (2) Engineering/ IT Specialisation (Level 1)
Compute component values and program micro-controller(s) to achieve the specified design outcome. (3) Problem Solving and Inventiveness (Level 1)
Design electrical circuits, PCBs, program micro-controller(s) such as Arduino and Raspberry Pi to do various tasks such as developing a video surveillance System, weather station, emulation of wind turbine. (4) Design (Level 1)
Students would work in multidisciplinary teams. (5) Interdisciplinary, Inclusiveness, Influence (Level 1)
Project and team skills are developed through the group work in the laboratories. (7) Project and Team Skills (Level 1)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

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.

(7) Project and Team Skills (Level 1)
1. Ability to undertake and report on basic experimental laboratory tasks.
2. Ability to work in a team during lab exercises.
(5) Interdisciplinary, Inclusiveness, Influence (Level 1)
3. Be able to demonstrate applications of basic science and engineering concepts (software defined radio, IoT and data analytics) in an electrical engineering discipline (ie. signals, communications and computer network)
(4) Design (Level 1)
4. Ability to design PCB and solder the components by mounting them on the PCB.
5. Ability to apply concepts, principles and techniques to configure modern communication systems.
6. Ability to scope, build and test an electrical and information engineering artifact.
7. Ability to code micro-controllers using programing languages to interact with hardware platforms (eg. LED, Motor).
(3) Problem Solving and Inventiveness (Level 1)
8. Be able to apply circuit design principles to compute component values to achieve the specified design outcome.
(2) Engineering/ IT Specialisation (Level 1)
9. Be able to wire up an electrical circuit on a bread board and test it using basic electrical measuring instruments
10. Be able to simulate an electrical circuit using simulation software (e.g. MATLAB) to gain a detailed understanding before performing hardware experiments.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab Skills Yes 24.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
2 Online Quiz Yes 36.00 Multiple Weeks (As specified by your unit coordinator) 3, 5, 7, 8, 10,
3 Lab Test No 40.00 Exam Period 3, 5, 7, 8, 9, 10,
Assessment Description: Lab Skills: assessment of lab work done during lab sessions

Online Quiz: assessment of theoretical knowledge underpinning the lab work and lectures

Lab Test: Individual assessment of the lab skills students should have attained through the semester.
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.
Special Conditions to Pass UoS In order to pass this unit, a student will be required to achieve at least 50% overall as well as at least 40% in the written examination and at least 40% for the total of the other components of assessment.
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.
Note on Resources: Lab manuals and lecture material would be available on the LMS site for the UoS.

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 Introduction to technical computing (MATLAB/Simulink and Python)
Week 2 Electrical Power generation and Load.
Week 3 Micro-controller
Week 4 Load control using micro-controller
Week 5 Digital data acquisition circuit
Week 6 Soldering exercise
Week 7 Build an emulator of wind turbine generator to power a household.
Week 8 Modern radio communications fundamentals
Week 9 Modern radio communications applications.
Week 10 New era IoT Innovation basics
Week 11 New era IoT innovation systems
Week 12 Introduction to Data Engineering(+AI and Deep Learning)
Week 13 Review
Exam Period Assessment Due: Lab Test

Course Relations

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

Course Year(s) Offered
Electrical Mid-Year 2019, 2020
Electrical 2019, 2020
Software Mid-Year 2018, 2019, 2020
Software 2017, 2018, 2019, 2020

Course Goals

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

Attribute Practiced Assessed
(7) Project and Team Skills (Level 1) Yes 4.8%
(5) Interdisciplinary, Inclusiveness, Influence (Level 1) Yes 13.6%
(4) Design (Level 1) Yes 36%
(3) Problem Solving and Inventiveness (Level 1) Yes 17.6%
(2) Engineering/ IT Specialisation (Level 1) Yes 28%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.