Notice
As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.
To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Erik Reichle
|
---|---|
Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
|
Corequisites |
Corequisites
PSYH490 or PSHY4490 or PSYH495 or PSYH4495
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
This unit will provide an introduction to computational modelling in (cognitive) psychology. The main goals of this unit are to foster both a basic understanding of the different approaches to modelling and an appreciation of the practical and philosophical issues related to modelling. The first part of the unit will focus on the following questions: (1) What are computational models of cognition?; (2) What are the major approaches (e.g., production systems) that are used to model cognitive processes?; (3) How are models developed and used in research?; and (4) How are models compared and evaluated? The second part of the unit will examine these issues in more depth by comparing models that have been developed to account for phenomena in specific areas of cognitive research (e.g., episodic memory). The final part of the unit will consist of student-led discussions of seminal modelling papers from the students' areas of interest. Students will also complete a modelling project or write a critique/review of existing models within their area of interest. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Name | Weighting | Hurdle | Due |
---|---|---|---|
Model comparison essay | 50% | No | Week 13 |
Model description essay | 25% | No | Week 5 |
Alternative approaches to modelling essay | 25% | No | Week 9 |
Assessment Type 1: Essay
Indicative Time on Task 2: 40 hours
Due: Week 13
Weighting: 50%
Students will submit an 1000 word essay comparing and contrasting 3 models of a particular research domain
Assessment Type 1: Essay
Indicative Time on Task 2: 25 hours
Due: Week 5
Weighting: 25%
Students will submit a 500 word essay describing a computational model
Assessment Type 1: Essay
Indicative Time on Task 2: 20 hours
Due: Week 9
Weighting: 25%
Students will submit a 500 word essay summarizing the main differences between three alternative approaches to modelling
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Assessments will be delivered to the unit instructor (Erik Reichle) via email.
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