Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject is not offered in 2016.
|Time Commitment:||Contact Hours: 48 hours: 24 x one-hour lectures (2 lectures per week), 12 x two-hour practice classes (1 per week). |
Total Time Commitment: Not available
Study Period Commencement:
Study Period Commencement:
Or equivalent knowledge of genetics.
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
This subject introduces the biology and technology underlying modern genomics data, features of the resulting data types including the frequency and patterns of error and missingness, and the statistical methods used to analyse them. It will include hands-on data analysis using R software. The material covered will evolve as genomics technology and practice change, and will span the following four areas: introduction to genomics technology and the resulting data (approx 25% of course), population genetics (approx 20% of course) including stochastic models and statistical inference, association analysis (approx 40% of course) including tests of association and major sources of confounding, and heritability and prediction (approx 15% of course) both in human genetics and for animal and plant breeding.
On completion of this subject, students should have:
Four computer-based assignments handed out and discussed during computer lab classes, completed in students' own time, and due the following week. Submissions will include computer code, results generated (numerical and graphical) plus sections of text interpreting the results (total 10 pages per assignment) due in weeks, 2, 5, 8 and 11 (12.5% per assignment). A 2-hour written exam due during the examination period (50%).
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. In particular
Computational Biology |
Science-credited subjects - new generation B-SCI and B-ENG.
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