Course level

Undergraduate

Faculty

Engineering, Architecture & Information Technology

School

Elec Engineering, Comp Science

Units

2

Duration

One Semester

Attendance mode

In Person

Class hours

Problem-based learning 4.00 Hours/ Week
2 x 2 hour problem-based learning sessions

Prerequisite

(ELEC3004 OR BIOE3001) AND (STAT2201 OR CHEE2010)

Assessment methods

Problem Sets, Presentations, Reports

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2025 (24/02/2025 - 21/06/2025) St Lucia In Person Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

The electrical activity within the nervous system represents information about the external world, the internal state, and the commands to control the body. This transformation between the information represented in the neural pathways and the electrical activity of neurons is referred to as the neural code. This course provides an overview of the underlying biological processes that give rise to neural activity, the models of neural encoding and decoding including leading hypotheses about information representation, and the extension of these models to population encoding in neural circuits. This course is organized into thematic sections with formal lectures on critical topics to gain exposure to state-of-the-art neural engineering.