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Unit outline_

ELEC1004: Practical Intro to Electrical Engineering

Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney

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.

Unit details and rules

Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
ENGG1800 or CHNG1108 or MECH1560 or AERO1560 or BMET1960 or MTRX1701 or ELEC1005
Assumed knowledge
? 

HSC Physics and Mathematics

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Changyang She, changyang.she@sydney.edu.au
Tutor(s) Alva Kosasih, alva.kosasih@sydney.edu.au
Type Description Weight Due Length
Small continuous assessment group assignment Lab skills
Performance in labs
50% Multiple weeks n/a
Outcomes assessed: LO1 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Tutorial quiz Online quiz
Online quizzes in Canvas
20% Multiple weeks n/a
Outcomes assessed: LO3 LO10 LO8 LO7 LO5
Creative assessment / demonstration Lab test
Practical exam at the end of the semester
30% STUVAC n/a
Outcomes assessed: LO3 LO5 LO7 LO8 LO9 LO10
group assignment = group assignment ?

Assessment summary

  • Lab skills: assessment of lab work done during lab sessions.
  • Online quiz: assessment of theoretical knowledge underpinning the lab work and lectures.
  • Lab test: assessment of the lab skills students should have attained through the semester.

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 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.

Academic integrity

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.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to technical computing (MATLAB/Simulink and Python) Lecture (1 hr)  
Week 02 Electrical power generation and load Lecture (1 hr)  
Week 03 Micro-controller Lecture (1 hr)  
Week 04 Load control using micro-controller Lecture (1 hr)  
Week 05 Digital data acquisition circuit Lecture (1 hr)  
Week 06 Soldering exercise Lecture (1 hr)  
Week 07 Build an emulator of wind turbine generator to power a household Lecture (1 hr)  
Week 08 Modern radio communications fundamentals Lecture (1 hr)  
Week 10 Modern radio communications applications Lecture (1 hr)  
Week 11 New era IoT innovation basics Lecture (1 hr)  
Week 12 New era IoT innovation systems Lecture (1 hr)  
Week 13 1. Introduction to data engineering; 2. AI and deep learning Lecture (1 hr)  
Week 14 (STUVAC) Final Practical Examination Independent study (1.5 hr)  

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.

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. undertake and report on basic experimental laboratory tasks
  • LO2. work in a team during lab exercises
  • LO3. demonstrate applications of basic science and engineering concepts in an electrical engineering discipline
  • LO4. design PCB and solder the components by mounting them on the PCB
  • LO5. apply concepts, principles and techniques to configure modern communication systems
  • LO6. scope, build and test an electrical and information engineering artifact
  • LO7. code micro-controllers using programing languages to interact with hardware platforms
  • LO8. apply circuit design principles to compute component values to achieve the specified design outcome
  • LO9. wire up an electrical circuit on a bread board and test it using basic electrical measuring instruments
  • LO10. simulate an electrical circuit using simulation software to gain a detailed understanding before performing hardware experiments.

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

This section outlines changes made to this unit following staff and student reviews.

No changes made

Disclaimer

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

To help you understand common terms that we use at the University, we offer an online glossary.