Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer
Nino Kordzakhia
Contact via Email
12 Wally's Walk Office 6.11
11am -12pm & 1pm - 2pm Tuesday
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MBiotech or MSc or MDataSc or GradDipBioTech or MBiotechMCom or MBioBus or MLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MConsBiol or GradDipConsBiol or MMarScMgt or MScInnovation
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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:
If you are unable to attend a weekly SGTA, you must apply for special consideration via https://ask.mq.edu.au/
The SGTA work must be submitted by the official due date and time. Late submissions will not be marked unless an extension has been granted following a successful application for .
All assignments and assessment tasks must be submitted by the official due date and time. No marks will be given for late work unless an extension has been granted following a successful application for Special Consideration. Please contact the unit convenor for advice as soon as you become aware that you may have difficulty meeting any of the assignment deadlines.
You are permitted ONE A4 page of paper containing reference material printed or handwritten on both sides. Calculators will be needed but must not be of the text/programmable type.
If a student is unable to attend the mid-semester test due to unavoidable circumstances, the student must apply for special consideration via https://ask.mq.edu.au/
The unit material distributed via iLearn is permitted. You may bring to the practical test a hard copy of your lecture and SGTA notes.
IMPORTANT
If a student is unable to attend the Practical Test due to unavoidable circumstances, the student must apply for Special Consideration via https://ask.mq.edu.au/
If you apply for Special Consideration for the Practical Test, you must make yourself available for the Supplementary Examination as organised by the Faculty of Science & Engineering. If you are not available at that time, there is no guarantee that an additional examination time will be offered. Specific examination dates and times will be determined at a later date. You can check the details of Supplementary exams via iLearn page FSE101 (bit.LY/FSESupp)
Name | Weighting | Hurdle | Due |
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SGTA Work 1 | 15% | No | Week 4 |
Mid-Semester Test | 20% | No | Week 8 |
SGTA Work 2 | 15% | No | Week 11 |
Practical Test | 50% | No | Week 13 |
Due: Week 4
Weighting: 15%
A worksheet will be handed out in the second hour of the class and is to be submitted before 23:55 on the day of the class via iLearn.
For the SGTA work assessment conditions see General Assessment Information.
Due: Week 8
Weighting: 20%
The Mid-Semester Test will be held in the second hour of lecture time and will be 50 minutes long.
For the test conditions see General Assessment Information.
Due: Week 11
Weighting: 15%
A worksheet will be handed out in the second hour of the class and is to be submitted before 23:55 on the day of the class via iLearn.
For the SGTA work assessment conditions see General Assessment Information.
Due: Week 13
Weighting: 50%
The Practical Test will be held during the SGTA class and will be 1 hour and 40 minutes long. For the practical test conditions see General Assessment Information.
Classes
Lectures begin in Week 1. SGTA begin in Week 2.
Students must attend two hours of lectures and two hours of SGTA per week.
The lecture notes will be made available on iLearn before the lecture.
SGTA exercises will be set weekly and will be available on iLearn before each class.
The timetable for classes can be found at http://www.timetables.mq.edu.au
iLearn
All unit related materials including lecture notes, SGTA's and instructions for assessment tasks and administrative updates, will be published on iLearn at
https://ilearn.mq.edu.au/login/MQ/
Software
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:
1. W. P. Krijnen Applied Statistics for Bioinformatics using R, 2009.
http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf
2. S. Draghici Statistics and Data Analysis for Microarrays Using R and Bioconductor. Chapman & Hall/CRC Mathematical and Computational Biology, 2nd Edition, 2012.
3. P. N. Suravajhala. Your passport to a career in bioinformatics. New Delhi: Springer, 2013.
4. W. J. Ewens and G. R. Grant. Statistical Methods in Bioinformatics, an Introduction. Springer, 2005.
5. K. Lange. Mathematical and Statistical Methods for Genetic Analysis, Statistics for Biology and Health. Springer, 2002.
Weeks |
Lecture Topics |
W1 |
Introduction |
W2 |
Discrete random variables and their characteristics |
W3 - W5 |
Hardy-Weinberg Equilibrium (HWE); Departures from HWE; Statistical testing of HWE. |
W6 - W7
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HWE for X-linked loci. Introduction to continuous random variables: Uniform Distribution. |
Session 1 Recess: 15/04/19 - 26/04/19 |
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W8 |
Continuous random variables and their characteristics |
W10 - W11 |
Hypothesis testing and its applications |
W12 |
Markov Chains and their applications |
W13 |
Review |
Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:
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If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).
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