ANSC3105: Semester 2, 2021

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Units ANSC3105 Semester 2 2021 [Normal day]

Unit outline_

ANSC3105: Animal Biotechnology

Semester 2, 2021 [Normal day] - Camperdown/Darlington, Sydney

Overview

Can genome editing improve animal health and welfare while increasing production outcomes? Will immune based therapy improve cancer outcomes for animals? Can rapid molecular diagnostics identify illegal animal traffic? Will big data generated from sensor technology provide novel solutions for animal management? With a focus on new and emerging technologies, this course addresses these and other topics through a mixture of lectures, tutorials, laboratories, seminars and directed learning instruction.

Unit details and rules

Academic unit	Life and Environmental Sciences Academic Operations
Credit points	6
Prerequisites ?	GEGE2X01 or GENE2002 or AVBS2005 or MBLG2X72 or VETS1032
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Gary Muscatello, gary.muscatello@sydney.edu.au
Demonstrator(s)	Katherine Brittain, katherine.brittain@sydney.edu.au
Guest lecturer(s)	Peter Bennett, peter.bennett@sydney.edu.au
Lecturer(s)	Kumudika de Silva, kumi.desilva@sydney.edu.au
	Hamutal Mazrier, hamutal.mazrier@sydney.edu.au
	Imke Tammen, imke.tammen@sydney.edu.au
	Paul Sheehy, paul.sheehy@sydney.edu.au
	Mehar Khatkar, mehar.khatkar@sydney.edu.au
	Auriol Purdie, auriol.purdie@sydney.edu.au
	Karren Plain, karren.plain@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Record+)	Final exam Online exam	40%	Formal exam period	2 hours
Outcomes assessed:
Tutorial quiz	Practicals Online quizzes	20%	Multiple weeks	4 x 10 multiple choice questions
Outcomes assessed:
Presentation	Oral presentation Oral presentation	10%	Week 06	10 minutes
Outcomes assessed:
Assignment	Assignment Written and oral assignment	30%	Week 10	1500 words; 10 minute presentation
Outcomes assessed:
= group assignment ? = Type B final exam ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

A late penalty of 5% per day will be enforced for late submissions. If you are unable to meet the due date, please inform the course coordinator BEFORE the due date. You will be required to apply for special consideration if you believe that you will be unable to submit in the appropriate fashion by the due date. You will be penalised if you submit late without applying for and gaining approval through special consideration.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Multiple weeks	Genome Engineering, Gene Therapy and Transgenics	Online class (6 hr)
	Antibody Engineering and Immune Based Therapy	Online class (6 hr)
	Application of Animal Biotechnologies	Online class (4 hr)
	Data and Animal Biosystems	Online class (4 hr)
	Animal Biotechnology Seminars	Online class (2 hr)
Week 01	Introduction to Molecular Technology and Biotechnology Basics	Online class (4 hr)
Week 02	Manipulating Gene Sequence for Gene Transfer	Online class (5 hr)
Week 06	Journal Article Review	Online class (2 hr)
Week 07	Writing a Literature Review	Online class (2 hr)
Week 08	Bioethics and Biotechnology	Online class (2 hr)
Week 08	Dairy Biotechnology	Online class (3 hr)
Week 09	Regenerative Biotechnologies	Online class (3 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. understand the mechanisms for manipulation and construction of recombinant DNA
LO2. understand emerging animal biotechnologies
LO3. understand the potential for applications of these technologies for animal health and production
LO4. use standard biosystems tools, to search and analyse relevant data
LO5. read and understand current biotechnology literature
LO6. apply ethical reasoning to the moral evaluation of animal biotechnology.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Feedback will be integral to online mode.

Additional information

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

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