VETS6106: Semester 2, 2024

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Units VETS6106 Semester 2 2024 [Normal day]

Unit outline_

VETS6106: Professional Skills 1B

Semester 2, 2024 [Normal day] - Camden, Sydney

Overview

In this Unit of study students will continue to develop confidence and competency in fundamental professional skills relevant to veterinary practice, building on their experiences in Professional Skills 1A. The skills will include basic animal handling and husbandry, basic clinical skills, personal and professional attributes, basic laboratory skills and clinical experience in veterinary teaching hospitals. Successful completion of this unit of study requires students to: (1) Attend and actively participate in all compulsory classes, (2) Achieve at least a pass grade in all compulsory assessment tasks, and (3) Submit all compulsory documents (veterinary teaching hospital site contracts and skills logs, feedback forms etc.).

Unit details and rules

Academic unit	School of Veterinary Science Academic Operations
Credit points	6
Prerequisites ?	VETS6101 and VETS6102 and VETS6103 and VETS6104
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Basic knowledge of clinical veterinary practice; empathy for and confidence in interactions with animals, one semester of study in each of general chemistry (physical and inorganic), organic chemistry, biology and biochemistry
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Jose A. Quinteros, josea.quinteros@sydney.edu.au

Assessment

The census date for this unit availability is 2 September 2024

Details
Criteria

Type	Description	Weight	Due	Length
Participation	Attendance and participation in all RLAs including practical classes, tutorials, field trips, workshops, and the KeePet programme Active participation in all demonstration & practical activities	0%	Ongoing	Variable
Outcomes assessed:
Skills-based evaluation	Individual assessment of animal handling, practical, clinical and safety skills Successful completion of skills lists	0%	Ongoing	Multiple weeks
Outcomes assessed:
Skills-based evaluation	Skills list / supervisor assessment Successful completion of skills lists	0%	Ongoing	multiple weeks
Outcomes assessed:
= hurdle task ?

Assessment summary

Attendance:

Unless otherwise stated, students are expected to attend at least 100% of timetabled activities as defined in the unit of study outline, unless granted exemption by the Associate Dean.
A student may fail a unit of study because of inadequate attendance.
All are practical classes and we require 100% attendance.

Assessment criteria

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

SR – Satisfied requirements: when you meet the learning outcomes to a satisfactory standard or
FR – Failed requirements: when you don’t meet the learning outcomes to a satisfactory 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.

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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Multiple weeks	HH 3 Horse handling 3	Practical (8 hr)
	FS 1 Fish handling 2	Practical (2 hr)
	BIO 2 Biosecurity 2	Practical (2 hr)
	SURG 2 Surgery 2	Practical (3 hr)
	SURG 3 Surgery 3	Practical (1 hr)
	SURG 3 Surgery 4	Practical (1 hr)
	SURG 3 Surgery 5	Practical (1 hr)
	THER 2 Therapeutics 2	Practical (3 hr)
	CAI Cattle artificial examination 1	Practical (3 hr)
	LAB 1 Laboratory skills 1	Practical (3 hr)
	FS 1 Farm safety workshop	Practical (4 hr)
	CPD 2 Cattle pregnancy diagnosis 2	Practical (2 hr)
	CH 2 Cattle handling 2	Practical (5 hr)
	SAH 2 Small animal handling	Practical (8 hr)
	SA PE 1 Small animal physical examination	Practical (3 hr)
	PIG 2 Pig handling	Practical (4 hr)
	Poultry Handling	Practical (2 hr)
	Sheep Handling 1	Practical (5 hr)
	Therapeutics 1	Practical (3 hr)
	RSPCA workshop	Practical (3 hr)
	VTH-C 2 and 3 Veterinary Teaching Hospital - Camden	Clinical practice (16 hr)
	VTH-S 2 and 3 Veterinary Teaching Hospital - Sydney	Clinical practice (16 hr)

Attendance and class requirements

Attendance:

Unless otherwise stated, students are expected to attend at least 100% of timetabled activities as defined in the unit of study outline, unless granted exemption by the Associate Dean.
A student may fail a unit of study because of inadequate attendance.
All are practical classes and we require 100% attendance.

The School of Veterinary Science will monitor attendance at RLAs using the University’s Student Relationship Engagement System (SRES) or similar.

Absence from any RLAs in this unit constitutes failure to make satisfactory progress for the purposes of the Coursework Policy 2021 and may lead to the award of a fail grade for the unit of study. Irrespective of the reason for absence or type of required learning activity missed, it is a student’s responsibility to ensure all relevant learning outcomes associated with the missed activities are addressed (to the satisfaction of the respective UoS coordinator).

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.

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

LO1. confidently and competently perform basic animal handling skills to species commonly presented to veterinary practice
LO2. confidently and competently perform basic clinical, laboratory and necropsy skills
LO3. contribute as a member of the inter-disciplinary team workplace of a veterinary hospital

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

Alignment with Competency standards

Outcomes	Competency standards
	Australasian Veterinary Boards Council (D1Cs) - 2. Handle, restrain and otherwise manage animal(s) safely and humanely, considering animal behaviour and welfare, and instruct others in helping the veterinarian perform these techniques.
	Australasian Veterinary Boards Council (D1Cs) - 15. Perform a systematic, gross postmortem examination, with attention to personal and staff safety, and report findings. 23. Perform antemortem and postmortem inspection of animals and make appropriate decisions to protect the food chain and animal welfare at the point of slaughter. 24. Apply veterinary elements of food safety standards and practices throughout the production chain, including on the farm and during food processing. 3. Perform a complete clinical examination relevant to presentation and context.
	Australasian Veterinary Boards Council (D1Cs) - 25. Communicate effectively with clients, the public, professional colleagues, and responsible authorities, using language appropriate to the audience and context. 27. Demonstrate inclusivity and cultural competence and act to respect and promote diversity in all elements of practice. 28. Work effectively as a member of a professional/ inter-professional team, fully recognising the contribution of each professional while promoting equity and inclusion.

Responding to student feedback

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

No changes have been made since this unit was last offered.

Additional information

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

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

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