Unit outline_

PSYC3013: Perceptual Systems

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

How do we know what's out in the world? Indeed, how do we know anything at all? Sensing the world around us and turning that into a reliable representation that can guide behaviour and knowledge is fundamental to everything we do. The acts of `seeing' and `hearing' seem effortless and instantaneous, yet perception poses enormous challenges and is probably the most complex problem the brain must solve. In this course, you will learn how we see colour and movement, how we perceive surfaces and know materials, and how a robust perception must combine other senses such as sound, vision and touch, or taste and smell? You will also learn about the limits of perception, and surprisingly, how much it uses guesswork, prediction and filling-in to compensate. This unit draws on multiple perspectives (behaviour, neurophysiology, modelling, neuroimaging) to answer these questions and deepen your understanding of perception. The lecturers are all research-active leaders in the field and present the latest work on these research topics. Students will gain conceptual tools for evaluating the empirical and theoretical worth of recent research in perception and the tutorial component will involve working in small groups to formulate a hypothesis and develop a simple experiment to test it by collecting and analysing data. Students thus gain practical research experience that gives them valuable insight into the scientific process as it exists both in professional work and in empirical research project for Honours.

Unit details and rules

Academic unit Psychology Academic Operations
Credit points 6
Prerequisites
? 
(PSYC2010 or PSYC2910 or PSYC2011 or PSYC2911 or PSYC2016) and PSYC2012
Corequisites
? 
None
Prohibitions
? 
PSYC3913
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator David Alais, david.alais@sydney.edu.au
The census date for this unit availability is 1 September 2025
Type Description Weight Due Length Use of AI
Written exam
? 
hurdle task
Final Exam
See Canvas for details.
40% Formal exam period 2 hours AI prohibited
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
In-person written or creative task Tutorial Reflections
A short written reflection on the lectures during the weeks prior. See Canvas for details.
20% Multiple weeks 15 minutes AI prohibited
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
In-class quiz Lecture Quizzes
An MCQ presented during the lecture on that lecture's content.
10% Ongoing See Canvas for details. AI allowed
Outcomes assessed: LO4 LO5 LO6
Written work group assignment Group Report
An APA-formatted report on an experiment devised, implemented, and analysed by your group.
30% Week 10
Due date: 19 Oct 2025 at 23:59

Closing date: 16 Nov 2025
See Canvas for details. AI allowed
Outcomes assessed: LO3 LO4 LO5 LO6 LO7
hurdle task = hurdle task ?
group assignment = group assignment ?

Assessment summary

Lecture Quizzes: There will be one MCQ during each lecture on that current lecture's content. See Canvas for more details.

Tutorial Reflections: In four tutorials across the semester, you will make a short written reflection concerning the content of the lectures prior to that tutorial. See Canvas for details.

Group Report: In a small group, you will devise an experiment on a perceptual concept, collect data, analyse the data, and write an APA-formatted report. See Canvas for more details.

Final Exam: There will be a two-hour closed book exam held after the teaching period ends. If you miss the Final Exam and are approved by Special Consideration, you will sit a Replacement Exam during the Replacement Exam period. The Final Exam is a compulsory assessment, so if you do not attempt it, you will receive an Absent Fail (AF) grade, and it is also a hurdle assessment, so students will need to meet the required standard in order to pass the unit. See Canvas for more details.

Assessment criteria

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

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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 University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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 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. 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

WK Topic Learning activity Learning outcomes
Week 01 The retina and filling-in of blindspots Lecture (1 hr) LO2 LO3
Spatial resolution of vision and attention Lecture (1 hr) LO2 LO3
Week 02 Spatial resolution of vision and attention (II) Lecture (1 hr) LO2 LO3
Temporal resolution of vision and attention Lecture (1 hr) LO1 LO2 LO3
Intro to Perception Tutorial (2 hr) LO2 LO4
Week 03 Temporal resolution of vision and attention (II) Lecture (1 hr) LO2 LO3
Touch Lecture (1 hr) LO2 LO3
The Blind Spot / Filling In Tutorial (2 hr) LO2 LO3 LO4
Week 04 Signal detection theory Lecture (1 hr) LO2 LO3
Touch (II) Lecture (1 hr) LO1 LO2 LO3
Tour of perception labs; demonstrations Tutorial (2 hr) LO2 LO3 LO5 LO6
Week 05 The levels and problems of perception Lecture (1 hr) LO2 LO3
Diffuse surface reflectance:  Lightness Lecture (1 hr) LO1 LO2 LO3
Receptive Fields Tutorial (2 hr) LO2 LO3 LO4
Week 06 Diffuse reflectance: Shading and shape Lecture (1 hr) LO2 LO3
Shading, shape, and material Lecture (1 hr) LO2 LO3
Workshop your blind spot experiment in class, with tutor feedback Tutorial (2 hr) LO2 LO3 LO4
Week 07 Specular reflectance: gloss and sheen Lecture (1 hr) LO2 LO3
Specular reflectance and Shape Lecture (1 hr) LO2 LO3
Perception labs, experiment participation Tutorial (2 hr) LO1 LO2 LO3 LO4
Week 08 Translucency and transparency Lecture (1 hr) LO2 LO3
High order interactions: putting the pieces together Lecture (1 hr) LO2 LO3
Motion Tutorial (2 hr) LO2 LO3 LO4
Week 09 Combing the senses: spatial and temporal rules Lecture (1 hr) LO2 LO3
Introduction to multisensory perception Lecture (1 hr) LO1 LO2 LO3
Somatosensation Tutorial (2 hr) LO1 LO2 LO3 LO4
Week 10 Multisensory cortex Lecture (1 hr) LO1 LO3
Models of sensory integration Lecture (1 hr) LO2 LO3
Week 11 Sensory integration from synchrony Lecture (1 hr) LO2 LO3
Temporal recalibration Lecture (1 hr) LO2 LO3
Multisensory integration Tutorial (2 hr) LO4 LO7
Week 12 Resolving visual ambiguity with sound and touch Lecture (1 hr) LO2 LO3
Synesthesia: cross-wired senses` Lecture (1 hr) LO1 LO2 LO3
Week 13 Applied vision Lecture (1 hr) LO1 LO2 LO3
Revision of lectures Lecture (1 hr) LO1 LO2 LO3 LO4
Applied vision Tutorial (2 hr) LO4 LO5 LO6 LO7

Attendance and class requirements

As noted in the Assessment table, the Final Exam is a compulsory assessment, so a student who does not attend it and is not approved to miss it will receive an Absent Fail (AF) grade.

Please note, marks for the Lecture Quizzes assessment are achieved by attending lectures, but there is no other consequence related to lecture attendance.

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 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. have a deep understanding of various areas of visual perception and a familiarity with auditory and tactile perception, too.
  • LO2. gain an understanding of the various research methods used in perceptual research and an understanding of the computational and neurophysiological underpinnings of perceptual processes.
  • LO3. gain an understanding of perceptual science, its methods, and how to present it to others.
  • LO4. (i) develop knowledge of several of the perceptual problems the brain must solve (such as combining information from distinct senses) (ii) Appreciation of common processing principles for how the brain solves perceptual problems (such as adaptation) (iii) Conceptual understanding of the limits on human perception and how they relate to the underlying mechanisms (such as acuity) (iv) Understanding of specific perceptual phenomena and how they arise as a consequence of processing architecture, especially in vision and audition (v) Basic knowledge of methods and measures commonly used in perception research (vi) Ability to understand and evaluate empirical studies in perception
  • LO5. (i) develop an understanding of the major methods of perceptual research (ii) Critically assess research findings and related theories in these areas (iii) Design and conduct basic studies to address perceptual questions: frame research questions; undertake literature searches; critically analyse theoretical and empirical studies; formulate testable hypotheses; operationalise variables; choose an appropriate methodology; make valid and reliable measurements; analyse data and interpret results; and write research reports.
  • LO6. (i) demonstrate an attitude of critical thinking that includes persistence, open---mindedness, and intellectual engagement. (ii) Evaluate evidence & information; differentiate empirical evidence from speculation. (iii) Think about how perception might be achieved mechanistically (iv) Evaluate issues using different theoretical and methodological approaches. (v) Use reasoning and evidence to recognise, develop, defend, and criticise arguments.
  • LO7. (i) develop an awareness of the applications of the theories and findings in the area. (ii) Apply psychological concepts, theories, and research findings to problems in everyday life and in society. (iii) Understand major areas of applied Perceptual Psychology.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

.

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.