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COMP5424: Information Technology in Biomedicine (2016 - Semester 1)
|Unit:||COMP5424: Information Technology in Biomedicine (6 CP)|
|Faculty/School:||School of Information Technologies|
Dr Cai, Tom
|Session options:||Semester 1|
|Versions for this Unit:|
|Site(s) for this Unit:|
|Brief Handbook Description:||Information technology (IT) has significantly contributed to the research and practice of medicine, biology and health care. The IT field is growing enormously in scope with biomedicine taking a lead role in utilizing the evolving applications to its best advantage. The goal of this unit of study is to provide students with the necessary knowledge to understand the information technology in biomedicine. The major emphasis will be on the principles associated with biomedical digital imaging systems and related biomedicine data processing, analysis, visualization, registration, modelling, compression, management, communication and security. Specialist areas such as Picture Archiving and Communication Systems (PACS), computer-aided diagnosis (CAD), content-based medical image retrieval (CBMIR), and ubiquitous m-Health, etc. will be addressed. A broad range of practical integrated clinical applications will be also elaborated.|
Prof Feng, David
Dr Cai, Tom
|T&L Activities:||Tutorial: Students are expected to attend all scheduled tutorials.
Independent Study: Students are expected to undertake prescribed reading and practical work besides understanding lecture contents
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|
|Students will be required to apply the knowledge and skills learned from this unit of study to solve specific problems in various ITB areas.||Design (Level 4)|
|Students will master principles and practices of biomedical data processing, analysis, visualization, registration, modelling, management and communication.||Engineering/IT Specialisation (Level 4)|
|Students will gain practical and research experiences in ITB areas.||Professional Conduct (Level 4)|
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
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.Design (Level 4)
Lab Skills: Lab Activities
|Policies & Procedures:||IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.
In assessing a piece of submitted work, the School of IT may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.
See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Note: Students are expected to have a personal copy of all books listed.
|Online Course Content:||www.it.usyd.edu.au/~comp5424|
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 1||Introduction to ITB|
|Week 2||Medical Data Sampling and Acquisition|
|Week 3||Medical Data Processing and Analysis (1)|
|Week 4||Medical Data Processing and Analysis (2)|
|Week 5||Medical Data Registration and Fusion|
|Week 6||Computer-Aided Diagnosis (CAD)|
|Assessment Due: Quiz|
|Week 7||Medical Data Storage and Retrieval|
|Week 8||Medical Data Visualization and Display|
|Week 9||Medical Data Modeling and Simulation (1)|
|Week 10||Medical Data Modeling and Simulation (2)|
|Week 11||Advanced Medical Image Computing (1)|
|Week 12||Advanced Medical Image Computing (2)|
|Assessment Due: Lab Skills|
|Assessment Due: Assignment|
|Week 13||Course Review and Revision|
|Exam Period||Assessment Due: Final Exam|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Design (Level 4)||Yes||34.17%|
|Engineering/IT Specialisation (Level 4)||Yes||50.01%|
|Maths/Science Methods and Tools (Level 4)||No||15.84%|
|Professional Conduct (Level 4)||Yes||0%|
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.