PSYC4888: Semester 2, 2023

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Units PSYC4888 Semester 2 2023 [Normal day]

Unit of study_

PSYC4888: Advanced Psychology Project

Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

Psychology is a science which relies on empirical research to back up its claims. This unit will provide you with the opportunity to plan, design and analyse your own research project within a small group of students. You will be supervised by an academic from the School of Psychology. In this unit, you will continue to understand and explore disciplinary knowledge, while also meeting and collaborating with students through project-based learning. You will identify and solve problems, collect and analyse data and communicate your findings to a diverse audience during a final symposium. All of these skills are highly valued by employers. This unit will foster the ability to work in teams, and this is essential for both professional and research pathways in the future.

Unit details and rules

Unit code	PSYC4888
Academic unit	Psychology Academic Operations
Credit points	12
Prohibitions ?	None
Prerequisites ?	PSYC2012 and [(18cp of PSYC3XXX) or (12cp of PSYC3XXX and SCPU3001) or (6cp of PSYC3XXX and SCPU3001 and HPSC3023)]
Corequisites ?	None
Assumed knowledge ?	Have sound knowledge of the main discipline areas of psychological science as well as training in empirical research methods and statistics, and should have the ability to apply this knowledge, training and methodology in a collaborative project setting
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Dora Zhang, dora.zhang@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Report See Canvas for details	50%	Formal exam period Due date: 13 Nov 2023 at 23:59 Closing date: 01 Dec 2023	See Canvas for details
Outcomes assessed:
Presentation	Presentation See Canvas for details	5%	Week 06	See Canvas for details
Outcomes assessed:
Assignment	Group Report See Canvas for details	25%	Week 11 Due date: 18 Oct 2023 at 23:59 Closing date: 15 Nov 2023	See Canvas for details
Outcomes assessed:
Presentation	Presentation See Canvas for details	5%	Week 12	See Canvas for details
Outcomes assessed:
Presentation	Expert Witness Testimony See Canvas for details	5%	Week 12	See Canvas for details
Outcomes assessed:
Assignment	Project Notes See Canvas for details	5%	Week 13 Due date: 03 Nov 2023 at 23:59 Closing date: 01 Dec 2023	See Canvas for details
Outcomes assessed:
Assignment	Peer Evaluation See Canvas for details	5%	Week 13 Due date: 30 Oct 2023 at 23:59	See Canvas for details
Outcomes assessed:
= hurdle task ? = group assignment ?

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 sydney.edu.au/students/guide-to-grades.

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:

You will receive a penalty of 5% of the maximum value of the assignment for each calendar day it is submitted after your due date. More than 10 calendar days after your due date, a mark of zero is applied. Submissions will not be accepted after the closing date.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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
Ongoing	Weekly workshops where your research project is set up and worked on	Workshop (30 hr)
Ongoing	Weekly seminars where case studies and readings in relation to the research topic are discussed	Seminar (26 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 12 credit point unit, this equates to roughly 240-300 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. Apply disciplinary knowledge to solve problem
LO2. Find, define and delimit authentic problems in order to address them.
LO3. Create an investigation strategy, explore solutions, discuss approaches and predict outcomes.
LO4. Analyse data using modern information technology and digital skills.
LO5. Demonstrate integrity, confidence, personal resilience and the capacity to manage challenges, both individually and in teams.
LO6. Collaborate with diverse groups and across cultural and disciplinary boundaries to develop solution(s) to the project problems.
LO7. Communicate project outcomes effectively to a broad audience.

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.

Based on feedback from last year, we have changed the group report to earlier in the semester, to enable feedback before the final report

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

Disclaimer

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