Entertainment Computing Workshop

Recommended Prerequisites

Assumes the conclusion of the branch mandatory units in the 1^st yeat.

Teaching Methods

A series of specialized seminars demonstrate frontier topics in EC.
Review of literature relevant to the project with a summary of the state of the art and contributions.
Development of an isolated creative project, or in a team with defined responsibilities, from conception to completion.

The Project-Based Learning activity acts as a context that integrates skills, with mentoring from specialist teachers.
Projects can be proposed by students or by teachers, always selected based on providing challenging opportunities in Entertainment Computing applications.

Learning Outcomes

Students will integrate entertainment computing competences, namely through:
Design and development of experimental, artistic and interdisciplinary projects, in an environment of new interactive, performative or installation media;

Explorations of advanced interaction techniques: embodied and spatial interaction, projection mapping, sound spatialization;

Advanced explorations in playful media, live editing, mixed-media, locative, and multiplayer online games;

Advanced AI/ML explorations in experience co-creation, characterization, adaptability and generativity;

Characterization and experience evaluation tests, quality control, identity, closing and distribution.

Work Placement(s)

No

Syllabus

Creative Project Management, from concept to realization
Challenges in Performative and Installation Environments
NUI: Tracking and Sensing (Depth cams, Sensors, ML, etc)
Projection Mapping techniques
Sound Design and Spatialization techniques
Generative Techniques in Performance
Playful Expressive Media
Challenges in Multiplayer Systems
Design and evaluation of Serious Games
AI and Experience Design
Machine Learning for Games
Telemetrics and Predictive Analytics
Adaptive and Personalized Experiences
Emotion Detection and Response
Automated Testing and Quality Assurance
Identity, Packaging and Distribution.

Head Lecturer(s)

Professor A Definir - Departamento de Engenharia Informática

Assessment Methods

Assessment
Research work: 25.0%
Project: 75.0%

Bibliography

Seleção de publicações científicas por revisão de literatura relacionada com o projeto / Selection of scientific publications by reviewing literature related to the project.