Overview

This unit provides instruction in signal acquisition and processing for Psychophysiology & Cognitive Neuroscience. Students will gain experience in acquiring data with biomedical tools, minimising interference, applying signal processing algorithms, and using statistics to interpret time-varying biological signals linked to psychological constructs and behaviours. Students will gain practical experience working with data from various modalities including MRI, EEG, MEG, and psychophysiology.

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Apply appropriate preprocessing and processing techniques to minimise noise and extract measures of interest across different imaging applications
  2. Use appropriate statistical approaches for comparisons in signal and image analysis to test hypotheses
  3. Write code using appropriate open source software packages for analysing and managing data
  4. Describe key principles of automated data processing and machine learning in Cognitive Neuroscience
  5. Organise and manage data and metadata, including ethical sharing of data, and produce interactive data visualisations
  6. Critically analyse data processing methods used in cognitive neuroscience research

Teaching methods

All applicable locations

Activity Type Activity Total Hours Number of Weeks Hours Per Week Venue Type and Activity Detail
Live Online Lecture 12 12 weeks 1  
On-campus Lab 24 12 weeks 2  
Specified Activities Various 48 12 weeks 4 Laboratory homework, Reading
Unspecified Activities Independent Learning 66 12 weeks 5.5 Independent study, Assignment preparation
Total Hours: 150 Total Hours (per week): 12.5  

Assessment

Type Task Weighting ULOs
Article Analysis Individual  40% 6
Laboratory Tutorial Quizzes Individual  30% 1,2,3,4
Project Report Individual/Group  30% 1,2,5

Hurdle

Nil

Content

  • Signals & Data acquisition
  • Signal Processing: time-domain
  • Signal Processing: frequency-domain
  • Imaging: the spatial dimension
  • Signal & imaging statistics
  • Representations, machine learning & AI
  • Graduate Attribute – Communication 2- Communicating using different media
  • Graduate Attribute - Teamwork 1- Collaboration and negotiation
  • Graduate Attribute – Digital Literacies 1- Information literacy
  • Graduate Attribute – Digital Literacies 2- Technical literacy

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.