Artificial Intelligence and Wearables in Marketing

Recommended Prerequisites

Not applicable.

Teaching Methods

Adopting a “learning by discovery” approach, students will be faced with several new marketing trends and will be stimulated to understand their usability and search for new examples of their application or where they can be applied.

Learning Outcomes

At the end of the course, students should be able to demonstrate knowledge and critical understanding of specific future problems arising from marketing, based on future developments in the business environment; about future problems and possibilities arising from the advances of artificial intelligence; on the technological solutions already available or that are foreseen with potential for application to marketing; about the future of customer relationships with brands and companies, supported by technology; on the role of people in articulation with technology, in managing relationships with customers and markets.

Work Placement(s)

No

Syllabus

Typical Artificial Intelligence architectures, approaches and algorithms

Applications of AI solutions to problems in general, and marketing in particular

Wearable devices and wearables in Marketing

How wearables will enter the company's interaction with its customers

The role of wearables in digital marketing.

Head Lecturer(s)

Arnaldo Fernandes Matos Coelho

Assessment Methods

Assessment
Periodic or by final exam as given in the course information: 100.0%

Bibliography

Designing for Wearables: Effective UX for Current and Future Devices – 30 dezembro 2016

Edição Inglés  por Scott Sullivan (Autor)

New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: The DITTET Collection: 1410 (Advances in Intelligent Systems and Computing) – 30 outubro 2021

Edição Inglés  por Juan F. de Paz Santana (Redactor), Daniel H. de la Iglesia (Redactor).