Unit

School Of Computer, Data And Mathematical Sciences

Genomic Data ScienceWestern Sydney University Unit Code: 301118.2

Discipline: STATISTICS

Student Contribution Band: 2

Level: 7

Credit Points: 10

Co ordinator
Alexie Papanicolaou


Assumed Knowledge
1). Statistics: Basic understanding of core statistical concepts such as what is a variable in statistics, what is and how to make histograms and summaries of data, Gaussian vs Poisson distributions, how to plot using R; 2). Large scale data management: Basic programming skills (what is a variable in programming, “for” and “while” loops). How to view, manipulate and manage data using a Linux command line (e.g. familiarity with basic bash command line). The HIE course ‘Data Analysis And Visualization With R’ (http://www.westernsydney.edu.au/hie/opportunities/training_courses/data_analysis_r) will fulfil these requirements as will the year 1 MSc Data Science units


Unit Enrolment Restrictions
Students must be enrolled in a postgraduate course.


Teaching Periods
Nothing on offer.

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About this Unit
Successful data scientists work across multiple business domains, have the ability to rapidly grasp the basics and adapt to achieve the business intelligence outcomes. Further, it is imperative to showcase the thinking of experimental scientists such as forming testable hypotheses and identifying sources of errors. In this unit we delve into the domain of life sciences, learn how to design and conduct biological experiments and use our analytical skills to explore real data from our oral microbiomes.

Special Requirements - Essential Equipment
Access to a Computer


Courses
3699.3Master of Information and Communications TechnologyCONTINUING
3702.1Master of Information and Communications Technology (Research)CONTINUING
3735.1Master of Data ScienceCONTINUING
3749.1Master of ScienceCONTINUING
3750.1Graduate Diploma in Data ScienceCONTINUING
3751.1Graduate Certificate in Data ScienceCURRENT
MICTRES.1Master of Information and Communications Technology (Research)CURRENT


Specialisations

A3016.1Master of Information and Communications Technology (Research) Pathway A - 2.5 yr programCONTINUING
A3018.1Master of Information and Communications Technology (Research) Pathway C - 2 year programCONTINUING
A3031.1Master of Information and Communications Technology (Advanced) Pathway A - 2.5 yearsCONTINUING
A3032.1Master of Information and Communications Technology (Advanced) Pathway B - 2 year programCONTINUING
A3033.1Master of Information and Communications Technology (Advanced) Pathway C - 2 yearsCONTINUING
A3034.1Master of Information and Communications Technology Pathway A - 2 yearsCONTINUING
A3035.1Master of Information and Communications Technology Pathway B - 1.5 yearsCONTINUING
A3036.1Master of Information and Communications Technology Pathway C - 1.5 yearsCONTINUING
A4041.1Master of Science (Public Health Nutrition) - 2 year pathwayCURRENT
A4042.1Master of Science (Public Health Nutrition) - 1.5 year pathwayCURRENT
ST3057.1Public Health NutritionCURRENT




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