Browse courses to find something that interests you.
Precision medicine, also referred to as personalised or individualised medicine, is the tailoring of interventions for the prevention and treatment of disease to the individual characteristics of a patient. This includes individual variability in genes, environment and lifestyle, for each person.
The complete sequencing of the human genome and advances in genome sequencing has facilitated the development of precision medicine and its movement beyond the genome and into the entire spectrum of molecular medicine. Precision medicine holds promise for improving many aspects of health and healthcare.
Genomics and Precision Medicine will cover foundational aspects of the structure of DNA, genes and gene function, genetic inheritance, genome sequencing and the structure and function of the human genome. It will also cover some of the ethical, social, and legal issues associated with precision medicine approaches. Current examples and applications of precision medicine will be used to highlight the benefits and challenges of the technology.
This course is designed to provide you with an introduction to human genetics, human genome sequencing and the use of DNA sequence information to inform clinical decisions for the use of tailored precision medicine approaches for disease management and cure. Examples of precision medicine approaches will be introduced.
The course is structured to include the following topics:
This microcredential aligns with the 2-credit point subject, Genomics and Precision Medicine (60003) in one of the following postgraduate offerings: Master of Science (C04241) or Master of Medical Biotechnology (C04390). This microcredential may qualify for recognition of prior learning at this and other institutions.
This microcredential is designed for anyone who would like to learn about how the genomic era is changing medical science and patient treatments, such as healthcare professionals, science undergraduates and non-specialists.
Upon successful completion of this course, participants should be able to:
Assessment in this course will be through the completion of:
This course incorporates a range of teaching and learning strategies, including live presentations, discussions, case studies and group activities. Online workshops are scheduled throughout the four-week teaching period for participants to interact with instructors and peers.
Completion of all assessment tasks, and an overall mark of 50% (Pass) or above.
Recommended background in Health or Science.
There is no prescribed textbook and learning materials will be provided online as needed.
Access to a computer and the internet.
Extend your problem-solving toolbox with TRIZ (the theory of inventive problem solving), a systematic and powerful innovation methodology.
How can we shift our views to think differently, see a problem landscape anew and transform to create new learning pathways?
An introduction to modelling binary response data using logistic regression.
Examine the current and emerging trends in e-Learning to determine what makes an effective technological resource.
An introduction to statistical tools used to form inferences about populations from data samples.
An introduction to modelling continuous response data using linear regression.