Case Studies In Veterinary Technology A Scenario-Based Critical Thinking Approach

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Students are expected to immerse themselves into the field of conservation, evolutionary genetics and wildlife to develop the ability to critically evaluate the subject.

There will be a substantial amount of reading required for the course.

The unit encourages an approach that spans management, wildlife biology and laboratory sciences.

In recognition of the power of genetics as a tool in wildlife management and research, a large component of this course reviews fundamental genetic, genomic and immunogenetic principals and their application to understanding, managing and conserving wildlife.

Students will undertake additional placements at relevant animal or animal-related businesses, farms or organisations as required to complete 60 days.

A professional consultant-style report must be submitted after each placement.Lectures, tutorials, laboratories, seminars and supervised reading and directed learning instruction will cover the application of biotechnology to animal health, animal production and veterinary biosciences.The course is organised around modules that consider the methodologies, ethical and technical issues in application veterinary regenerative technology (gene therapy; stem cell therapy), transgenic technologies, antibody and antigen receptor engineering, molecular diagnostics, and mining molecular bioactives, all discussed in contexts relevant to domestic animals.The lecture component covers the molecular nature of chromosomes and their transmission, variation in chromosome behaviour, both normal and disease related.In addition, the uses of chromosome engineering to produce variation in plants and animals will also be covered.This unit will be taught at the Camperdown campus with also a fieldtrip to a park in the Sydney or NSW areas.This unit of study focuses on the role and animal and veterinary biosciences in the field of wildlife management management and diseases using project-based, open learning space and research-led teaching approaches.By doing this unit you will develop skills in the analysis of big data, you will gain familiarity with high performance computing worktop environments and learn to use bioinformatics tools that are commonly applied in research.On average 6 hours per week of lectures, tutorials, computer simulations and practical classes.Lectures cover the applications of molecular genetics in biotechnology and consider the regulation, impact and implications of genetic engineering and genomics.Topics include biological sequence data and databases, comparative genomics, the cloning and expression of foreign genes in bacteria, yeast, animal and plant cells, novel human and animal therapeutics and vaccines, new diagnostic techniques for human and veterinary disease, and the genetic engineering of animals and plants.


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