Course Title: Biosignal Processing and Computing

Part A: Course Overview

Course Title: Biosignal Processing and Computing

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

EEET2238

City Campus

Undergraduate

125H Electrical & Computer Engineering

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012

EEET2332

City Campus

Postgraduate

125H Electrical & Computer Engineering

Face-to-Face

Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012

Course Coordinator: Dr. John Fang; Prof. Dinesh Kant Kumar

Course Coordinator Phone: +61 3 9925 2432 (John)

Course Coordinator Email: john.fang@rmit.edu.au; dinesh@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

  • You are required to have completed introductory level programming courses. You will have gained this knowledge if you have successfully completed EEET2250 Engineering Computing 2 or equivalent studies.
  • Basic knowledge in network systems is also essential.
  • Background in electronics (2nd year level e.g.EEET2255 or equivalent studies) and the fundamentals of signal processing is essential.


Course Description

This course introduces biosignal processing as well as biocomputing.

 Introduction to Bioelectric, and Medical Image signals are the essential aspects of biosignal processing. We will cover topics such as Fourier, and Wavelets transform, and also will study the topics related to classifiers, such as the statistical classifier. We will then see the challenges and some solutions when dealing with medical images such as the retinal images.

Biocomputing is an emerging discipline that coalesces the health science knowledge including biology, medicine, pharmacy, and nursing with computer science, mathematics, statistics, engineering, information technologies and management. The course introduces structures, formats, and algorithms necessary to organize, store, retrieve and analyze biomedical data, such as DNA and Protein sequence data.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information (www1.rmit.edu.au/browse;ID=eyj5c0mo77631).


Objectives/Learning Outcomes/Capability Development

At undergraduate level this course develops the following Program Learning Outcomes:

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2.1 Application of established engineering methods to complex engineering problem solving.

2.2 Fluent application of engineering techniques, tools and resources

At postgraduate level this course develops the following Program Learning Outcomes:

• High levels of technical competence in the field
• Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies


On successfull completion of this course you will be able to:

  • process the telemedicine and multimedia information prior to transmission and recording;
  • describe the formats of electronic biological and health data and design the proprietary data format using XML; 
  • search the major sequence databases to retrieve DNA and Protein sequences;
  • utilise the major biosequence alignment tools to perform sequence comparison;
  • describe the protein’s hierarchical structure and able to compare peptides structure using PDB-Viewer.


Overview of Learning Activities

You attend a formal program of lectures and lab sessions. There will also be independent learning. You are recommended to attend and participate in all scheduled teaching sessions and complete formal items of assessment to achieve satisfactory completion of the course. Formal teaching sessions are available only at the times specified and cannot be repeated. You are expected to spend an appropriate amount of time out of classes reviewing theoretical and practical material in textbooks, journals and on the Internet, preparing self directed leaning exercises and writing reports.

You are expected to spend an appropriate amount of time out of classes reviewing theoretical and practical material in textbooks, journals and on the Internet, preparing self directed leaning exercises and writing reports.


Overview of Learning Resources

A large portion of the learning resources for this course will be made available electronically. Lecture notes will be put on the course website.


Overview of Assessment

The assessment consists of laboratories, report writing and presentation, and a final examination.