Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

The topics covered in this unit complement those presented in the core unit of the Master of Biotechnology (71580)—SCIE4001 The Objectives and Applications of Genomics, and reflect cutting-edge developments in computational analysis of genomics data, providing students with an understanding and knowledge of the discipline at an advanced level. Topics include (1) sequence analysis—making sense of DNA and RNA sequences (4 lectures); (2) quantitative analysis—getting the numbers right (3 lectures); and (3) systems biology—constructing the big picture (3 lectures). Groups of students develop and present a 30-minute presentation on an aspect of one of the topics through independent readings and analysis of real data, in consultation with the academic staff member in charge of the topic. The presentation demonstrates how computational analysis leads to biological understanding of complex datasets.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 2UWA (Perth)Face to face
Outcomes

Students are able to (1) access, organise and analyse genomics data with appropriate computational approaches and (2) interpret genomics data from a biological viewpoint, including conceiving and testing biological hypotheses.

Assessment

Indicative assessments in this unit are as follows: (1) three multiple-choice quizzes—sequence analysis (20 questions), quantitative analysis (15 questions) and systems analysis (15 questions); (2) written report; and (3) oral presentation. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Professor Dave Edwards
Unit rules
Prerequisites
Enrolment in
71580 Master of Biotechnology
or 71540 Master of Health Science
or 71520 Master of Biomedical Science
or BH004 Bachelor of Science (Honours)
or 62550 Master of Professional Engineering
or 70550 Master of Bioinformatics
and Successful completion of
one Unit(s) SCIE4001 Collecting, Analysing and Interpreting Big Data in Biology
Advisable prior study
a completed undergraduate major in Agricultural Science, Biochemistry and Molecular Biology, Botany, Conservation Biology, Environmental Science, Genetics, Marine Science, Zoology, or equivalent
Contact hours
lectures and tutorials: 24 hours per semester
presentation sessions: approx. 6 (depending on student enrolment)
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.