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Unit outline_

ELEC1004: Practical Intro to Electrical Engineering

Semester 1, 2024 [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 Steve Shu, steve.shu@sydney.edu.au
Demonstrator(s) Benjamin Schwarz, benjamin.schwarz@sydney.edu.au
Lewis Watts, lewis.watts@sydney.edu.au
Andrei Vladychenko, andrei.vladychenko@sydney.edu.au
The census date for this unit availability is 2 April 2024
Type Description Weight Due Length
Small continuous assessment Lab skills
Performance in labs
50% Multiple weeks n/a
Outcomes assessed: LO1 LO11 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Tutorial quiz Online quiz
Online quizzes in Canvas
20% Multiple weeks n/a
Outcomes assessed: LO4 LO11 LO9 LO8 LO6
Creative assessment / demonstration Lab test
Practical exam at the end of the semester
30% STUVAC n/a
Outcomes assessed: LO4 LO6 LO8 LO9 LO10 LO11
Attendance Lab skills for week1-3
#earlyfeedbacktask at least 2 out of 3 lab sessions need to be attended
0% Week 03 NA
Outcomes assessed: LO2

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 Course introduction Lecture (1 hr) LO1
Lab 1 Practical (3 hr) LO2
Week 02 Electrical circuits Lecture (1 hr) LO1
Lab 2 Practical (3 hr) LO5
Week 03 Microcontrollers Lecture (1 hr) LO1
Lab 3 Practical (3 hr) LO5
Week 04 Sensors and Actuators Lecture (1 hr) LO1
Lab 4 Practical (3 hr) LO4 LO9
Week 05 Power generators and renewable energy Lecture (1 hr) LO1
Lab 5 Practical (3 hr) LO9 LO10 LO11
Week 06 Computer networks Lecture (1 hr) LO1
Lab 6 Practical (3 hr) LO3 LO4 LO10 LO11
Week 07 Wireless technologies Lecture (1 hr) LO1
Lab 7 Practical (3 hr) LO8
Week 08 Radio Communication Fundamentals I Lecture (1 hr) LO1
Lab 8 Practical (3 hr) LO6
Week 10 Radio Communication Fundamentals II Lecture (1 hr) LO1
Lab 9 Practical (3 hr) LO4 LO7
Week 11 Internet of Things Lecture (1 hr) LO1
Lab 10 Practical (3 hr) LO4
Week 12 Cloud Computing and Edge Computing Lecture (1 hr) LO1
Lab 11 Practical (3 hr) LO2 LO4
Week 13 AI and Deep Learning Lecture (1 hr) LO1
Lab 12 Practical (3 hr) LO4
Week 14 (STUVAC) Final Practical Examination Independent study (1.5 hr) LO4 LO6 LO8 LO9 LO10 LO11

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. understand basic concepts and principles of electrical engineering
  • LO2. undertake and report on basic experimental laboratory tasks
  • LO3. work in a team during lab exercises
  • LO4. demonstrate applications of basic science and engineering concepts in an electrical engineering discipline
  • LO5. design PCB and solder the components by mounting them on the PCB
  • LO6. apply concepts, principles and techniques to configure modern communication systems
  • LO7. scope, build and test an electrical and information engineering artifact
  • LO8. code micro-controllers using programing languages to interact with hardware platforms
  • LO9. apply circuit design principles to compute component values to achieve the specified design outcome
  • LO10. wire up an electrical circuit on a bread board and test it using basic electrical measuring instruments
  • LO11. 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.

The tutors of the unit have been changed.

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.