APG5455 · Understanding the screen brain, AI and data futures

Overview

This unit explores the mechanisms underpinning screen image perception and comprehension. By examining how our mind, brain and body work in tandem when engaging with the screen, it explains how the screen image moves viewers and to what effects. It covers aspects of narrative comprehension, image decoding, an embodied sense of movement, absorption and immersion, concluding by examining how artificial intelligence and machine learning might revolutionise screen media.

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Within semester assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Investigate key ways in which screen images are perceived and comprehended;
2. Apply relevant key concepts in theories of screen perception and processing;
3. Analyse current developments in how film, media and data processing are being mobilised in global contexts;
4. Apply research skills to a case study in screen, brain and/or data futures.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. A unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Student experience, not official rules. Nothing here changes what the Handbook says.