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Genetic Analysis (GENE30004)
Undergraduate level 3Points: 12.5On Campus (Parkville)
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
The subject provides a capstone experience for students majoring in Genetics. It involves lectures and practical exercises which demonstrate advanced principles and techniques of genetic analysis from classical and population genetics to modern molecular technology. An emphasis is placed on student participation in experimental design and data analysis. Tutorials will be used to illustrate modern aspects of Genetics by the in-depth consideration of current publications in the field.
Intended learning outcomes
Upon completion of the subject, students should have: understood the application of genetic principles and different experimental designs in classical, molecular and genetic analysis; appreciated the advantages and disadvantages of these different designs; developed a detailed understanding of the techniques employed in experimental designs; experienced the use of particular laboratory techniques and analytical approaches in different areas of genetics; become proficient in the analysis and interpretation of data derived from their own experimentation and that of others; the use of bioinformatics to analyse complex genetic data; gained experience in the written and oral presentation of scientific data; and developed an appreciation of the scientific literature and how experimental results in Genetics are presented in publications.
Generic skills
Completion of this subject is expected to enhance the generic skills of a student in: the design and planning of work schedules to accomplish laboratory tasks; the ability to work collaboratively with others to accomplish common goals; the safe use of appropriate laboratory equipment and techniques for experiments; the assessment of data and its significance including statistical analysis and an ability to present data in the form of reports; the ability to communicate information both verbally and in writing; the application of computer technology for data retrieval, analysis and use of relevant information from the scientific literature; an appreciation of how modern science can be applied.
Last updated: 15 January 2025