AVBS4000: Semester 2, 2022

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Units AVBS4000 Semester 2 2022 [Professional practice]

Unit outline_

AVBS4000: Professional Development

Semester 2, 2022 [Professional practice] - Remote

Overview

A key component of The AVBS degree is the Placement program. This is a workplace-based program requiring a minimum of 40 days of placement to be completed by the end of the third year (6th semester) of your degree. At least 15 days must be completed On-Farm. The remaining days are undertaken in a range of other approved work environments. The aim of the program is to encourage students to gain experience in a wide range of animal related industries and introduce them to the many career options available to them after graduation. We encourage students to apply their skills and knowledge in a professional environment, while also developing a real-world view of animal industries.

Unit details and rules

Academic unit	Life and Environmental Sciences Academic Operations
Credit points	6
Prerequisites ?	ANSC3106
Corequisites ?	None
Prohibitions ?	AVBS3000
Assumed knowledge ?	Professional Placements Program - they should have undertaken 40 days of industry placements (during years 1-3) prior to enrolling in this UoS. Reporting is capture via SONIA and Canvas across their degree
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Sonia Liu, sonia.liu@sydney.edu.au
Lecturer(s)	Sonia Liu, sonia.liu@sydney.edu.au

Type	Description	Weight	Due	Length
Placement	Professional experience reports Reports to integrate experiences gained through placements. Submitted y 1-3	50%	-	max 2000 words
Outcomes assessed:
Placement	Reflective Portfolio Portfolio integrating placement experiences and reflection for career path	40%	Multiple weeks	3000 words
Outcomes assessed:
Presentation	Portfolio Pitch Presentation integrating placement experiences.	10%	Progressive	5 min presentation
Outcomes assessed:
Assignment	CV writing Prepare a cover letter and CV	0%	Week 10 Due date: 16 Oct 2022 at 23:59	1-2 pages
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

See Placements Canvas Site for the rubric.

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.

Weekly schedule

WK	Topic	Learning activity	Learning outcomes
Multiple weeks	Seminars will be run via zoom across the year to engage students with various industries representing career pathways. Students will be required to present a portfolio pitch at one of the seminar sessions, self - elected.	Online class (16 hr)

Attendance and class requirements

All classes will be conducted online via Zoom

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. Experience and Evaluate the major and emerging animal industries first-hand
LO2. Understand and evaluate the production, development, finance, marketing, research and management of domestic, native and exotic animals and animal products across a range of environments and managerial systems
LO3. Analyse the current issues associated with animal science in a global context
LO4. Apply the range of interpersonal skills necessary to establish a professional rapport with clients, colleagues and academics
LO5. Synthesise the learnings from your degree to develop particular interests that may inform your choice of career
LO6. Develop and practise skills in CV writing and job interview techniques
LO7. Execute skills in professional consultant-style report writing.
LO8. Critically reflect on the pivotal relationships between your degree, the rural environment, your professional placements, and your personal beliefs and values and those of your peers, community and society.

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.

Major changes to the final assessment and seminar structure have been made integrating feedback from previous USS feedback

Additional information

Work, health and safety

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

Attendance and class requirements

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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