ELEC3802: Semester 1, 2020

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Units ELEC3802 Semester 1 2020 [Normal day]

Unit outline_

ELEC3802: Fundamentals of Biomedical Engineering

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit assumes a knowledge of basic principles in physics, mathematics, circuit theory and electronics. In particular, some understanding of the following is required: Thevenins and Nortons theorems, Fourier analysis, radiation, filtering, bipolar and field effect transistors, and operational amplifiers. The following topics are covered. Biology of the heart, circulatory and respiratory systems, physiology of nerve and muscle cells, fundamental organization of the brain and spinal cord. Medical instrumentation. ElectrocardioGram and automated diagnosis. Heart pacemakers and defibrillators. The bionic ear. Apparatus for treatment of sleep disordered breathing (sleep apnoea). This unit is descriptive and does not require detailed knowledge of electronics or mathematics, but does require an understanding of some key aspects of mathematical and electronic theory. The unit concentrates on some of the practical applications of biomedical engineering to patient diagnosis and treatment.

Unit details and rules

Academic unit	School of Electrical and Computer Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	ELEC2004 or ELEC2104 A knowledge of basic electrical engineering is required: Ohm's law, Thevenin and Nortons' theorems, basic circuit theory involving linear resistors, capacitors and inductors, a basic knowledge of bipolar and field effect transistor theory, simplified theoretical mechanism of operation of transformers.
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Alistair McEwan, alistair.mcewan@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam	Final exam	50%	Formal exam period	2 hours
Outcomes assessed:
Tutorial quiz	Quizzes	15%	Multiple weeks	n/a
Outcomes assessed:
Small continuous assessment	Lab skills	35%	Multiple weeks	n/a
Outcomes assessed:
= hurdle task ? = group assignment ?

Assessment summary

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.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	1. Introduction; 2. Biology of nerves	Lecture (2 hr)
Week 01	1. Introduction; 2. Biology of nerves	Project (2 hr)
Week 02	Biology of nerves, muscles, heart, lungs	Lecture (2 hr)
Week 02	Biology of nerves, muscles, heart, lungs	Project (2 hr)
Week 03	Instrumentation	Lecture (2 hr)
Week 03	Instrumentation	Project (2 hr)
Week 04	ECG	Lecture (2 hr)
Week 04	ECG	Project (2 hr)
Week 05	Electrical implants	Lecture (2 hr)
Week 05	Electrical implants	Project (2 hr)
Week 06	CPAP	Lecture (2 hr)
Week 06	CPAP	Project (2 hr)
Week 07	Signals 1	Lecture (2 hr)
Week 07	Signals 1	Project (2 hr)
Week 08	Signals 2	Lecture (2 hr)
Week 08	Signals 2	Project (2 hr)
Week 09	Imaging HW1	Lecture (2 hr)
Week 09	Imaging HW1	Project (2 hr)
Week 10	Imaging HW2	Lecture (2 hr)
Week 10	Imaging HW2	Project (2 hr)
Week 11	Image processing 1	Lecture (2 hr)
Week 11	Image processing 1	Project (2 hr)
Week 12	Image processing 2	Lecture (2 hr)
Week 12	Image processing 2	Project (2 hr)
Week 13	Review	Lecture (2 hr)
Week 13	Review	Project (2 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

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.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. practice working in a team, acting diverse roles and responsibilities, showing initiative and leadership, as well as receptiveness to various contributions and viewpoints to reach a multilateral consensus in the approach and results of lab experiments
LO2. identify information needs and use these as drivers to instigate inquiry and knowledge development by drawing on, and evaluating diverse sources of information to produce meaningful conclusions on the specific subject of biomedical engineering
LO3. write lab reports to convey complex and technical data in clear and concise terms, and argue persuasively the approach and results obtained in light of the problem or task assigned and the adopted methodology
LO4. explain fundamental concepts of biology including anatomy, physiology, histology, pathology
LO5. apply technical principles and methodologies throughout the course to implement appropriate quality control procedures in the development of biomedical engineering lab experiments
LO6. describe medical instrumentation including ECG, heart pacemakers and defibrillators, hearing aid and bionic ear and ventilators proficiently; explain the principles of biomedical signal processing and medical imaging to the extent of the material presented
LO7. complete experiments using a clearly defined approach, employ various medical instrumentation for measurements, and practice diagnosis
LO8. practice basic circuit theory at a level suitable for use with medical instrumentation; practice signal processing and pattern recognition methods at a basic level for medical image analysis.

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
Learning outcomes

Responding to student feedback

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

Updates based on student feedback over several years

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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