6 points, SCA Band 1, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Faculty
Medicine, Nursing and Health Sciences
Organisational Unit
School of Psychological Sciences
Coordinator(s)
Unit guides
Offered
- Teaching Period 2 2017 (Online)
- Teaching Period 4 2017 (Online)
- Teaching Period 6 2017 (Online)
Synopsis
Introduction to the discipline of psychology as a behavioural science. Lecture topics include Social Psychology, Abnormal Psychology, Cognitive Psychology, plus an introduction to research design and analysis. Online activities and discussion forums enhance students' understanding of the lecture and assessment material and provide training in research techniques.
Outcomes
Upon successful completion of this unit, students should be able to:
- Analyse theories on how behaviour is socially influenced.
- Evaluate diagnostic practices related to schizophrenia, mood disorders, and anxiety disorders.
- Evaluate aspects of human memory.
- Critically analyse empirical studies.
- Synthesize testable hypotheses in social, abnormal, and/or cognitive psychology.
- Define experimental variables so they can be quantitatively measured (a skill known as operationalising).
- Design a simple research study and use basic statistics to analyse the associated data.
Assessment
- Critical evaluation tasks (15%)
- Research proposal (35%)
- 6 x Secure online quizzes (50%) (Hurdle)
Workload requirements
Students should expect to spend a minimum of 20 hours per week on this unit to achieve the learning outcomes.
This time will cover:
- video lecture materials;
- synchronous & asynchronous discussion;
- synchronous web-based 'class-time' for skills-based activities;
- weekly readings;
- weekly skills-based assessment tasks; and
- content-based assessment, including revision and formative assessment.
See also Unit timetable information
Chief examiner(s)
This unit applies to the following area(s) of study
Co-requisites
Must be enrolled in either of the GDP course codes (M5013 or 4525).