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Environmental and Forensic Genetics (10001.2)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Science


Unit Outlines

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  • Semester 1, 2020, ON-CAMPUS, BRUCE (193350) - View
  • Semester 1, 2019, ON-CAMPUS, BRUCE (185161) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (182119) - View
  • Semester 1, 2017, ON-CAMPUS, BRUCE (165656) - View
  • Semester 1, 2016, ON-CAMPUS, BRUCE (155953) - View

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This unit will introduce the concepts of population genetics and show how these concepts, when combined with genetic data, can be used to understand and interpret human health and forensics and key aspects of the natural world. Recent advances in genomics have made available a wealth of genetic information. Students will gain an understanding of the methods and techniques used to generate these data as well as learn how to use the data to make informed decisions about medical research, biodiversity, wildlife management and human identity and differentiation. There will be a focus on the understanding, implementation and interpretation of computational tools for population genetic analysis with a view to communicating these concepts to scientific and non-scientific audiences.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Express, in the form of a report, a clear and confident interpretation of a population genetic analysis;

2. Collate, analyse, manipulate, evaluate, interpret and present information and numerical data from population genetic case studies;

3. Select and use appropriate information and communication technologies to retrieve, manipulate and present population genetic data;

4. Implement and evaluate strategies for the resolution of problems in population genetics;

5. Critically evaluate published research in the field of population genetics;

6. Work with others as part of a group; and

7. Demonstrate the ability to cope with and communicate uncertainty in population genetic analysis.

Assessment Items



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