Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.
To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor/Lecturer
Nino Kordzakhia
Contact via Email
610 L6 E7A 12 Wally's Walk
see iLearn
Thomas Fung
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
Admission to MRes
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit introduces the statistical and probabilistic concepts that are the basis for the study of bioinformatics. Topics include an introduction to probability and conditional probability, probability distributions, sampling distributions and an introduction to Markov processes. Particular attention is paid to how they relate to specific applications in the field of bioinformatics. A basic understanding of calculus will be an advantage.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
ASSIGNMENT SUBMISSION: Assignment submission will be online through the iLearn page. Submit assignments online via the appropriate assignment link on the iLearn page.
LATE SUBMISSION OF ASSIGNMENT: All assessment tasks must be submitted by the official due date and time. In the case of late submission for a non-timed assessment (e.g. an assignment), if special consideration has NOT been granted, 20% of the earned mark will be deducted for each 24-hour period (or part thereof) including weekends and/or public holidays.
Name | Weighting | Hurdle | Due |
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Assignment 1 | 10% | No | Week 4 |
Test | 30% | No | Week 8 |
Assignment 2 | 10% | No | Week 10 |
Practical Test | 50% | No | Week 12 Online |
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 28.5 hours
Due: Week 4
Weighting: 10%
Reinforce and apply skills learned in computer labs through data analysis. The tasks given during computer lab sessions are to be completed within the allocated time and submitted via iLearn.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 1 hours
Due: Week 8
Weighting: 30%
This is a paper based mid-semester test. Further information will be provided in the iLearn site of the unit.
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 28.5 hours
Due: Week 10
Weighting: 10%
Reinforce and apply skills learned in computer labs through data analysis. The tasks given during computer lab sessions are to be completed within the allocated time and submitted via iLearn.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 2 hours
Due: Week 12 Online
Weighting: 50%
The practical test is designed to examine data analysis and R output interpretation skills taught in the unit.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
The Lectures begin in Week 1 online.
The online SGTAs (1-hour per week) begin in Week 2.
The lecture slides will be made available on iLearn before the lecture.
SGTA exercises will be set weekly and will be available on iLearn before each class.
https://ilearn.mq.edu.au/login/
The statistical software R will be used. This is a free software environment for statistical computing and graphics and can be downloaded from the website
Texts and materials:
There is no required textbook for this unit.
Recommended reference sources:
Study Weeks |
Lecture Topics |
Due |
W1 |
Introduction |
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W2 |
Discrete random variables and their characteristics |
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W3 - W5 |
Hardy-Weinberg Equilibrium (HWE);
Departures from HWE; Statistical testing of HWE. |
Week 4
Assignment 1 |
W6 |
HWE for X-linked loci.
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MID-SESSION BREAK |
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W7 - W8 |
Continuous random variables and their characteristics |
Week 8 Test |
W10 - W11 |
Hypothesis testing and its applications |
Week 10
Assignment 2 |
W12 |
Markov Chains and their applications |
Practical Test |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2021.02 of the Handbook