Ambient Intelligence

Recommended Prerequisites

Average knowledge of programming, multimedia and design

Teaching Methods

The unit includes theoretical lectures where the fundamental concepts, principles and techniques and there are presented and explained in detail.

 

Lectures of practical nature play the role of strengthening the connection between theoretic knowledge and its practical application. To pursue this goal we focus on problem solving and on the analysis of case studies that require combining different theoretical concepts and that promote critical reasoning.

Learning Outcomes

Nowadays, computational power is capability is available in mobile phones, Personal Digital Assistants, GPS equipment, sensor networks that can and are integrated in the environment that surrounds us, etc.

In this curricular unit we study the techniques that empower these devices in the context of the ambient intelligence scenarios. Solutions regarding the design of ambient intelligence scenarios are explored, focusing on interaction, information visualization and modeling.

The skills to autonomously and contextually pursue learning and research on the application of ambient intelligence in diverse scenarios of cohabitation between Humans and Computers is promoted.

Work Placement(s)

No

Syllabus

1. Components of an intelligent environment.

2. Integration of real and virtual spaces.

3. Interaction Models.

4. Design of Ambient Intelligence scenarios.

5. Basic concepts of descriptive statistics.

6. Information visualization.

7. Modeling of the human, physical and technological environments.

Head Lecturer(s)

Pedro Manuel Henriques da Cunha Abreu

Assessment Methods

Assessment
Resolution Problems: 20.0%
Project: 80.0%

Bibliography

Tufte, Edward R (2001), The Visual Display of Quantitative Information (2nd ed.), Cheshire, CT: Graphics Press.

Tufte, Edward R  (2006), Beautiful Evidence, Cheshire, CT: Graphics Press.

Remagnino, Paolo , Foresti, Gian Luca and Ellis, Tim, eds. (2005)Ambient intelligence: a novel paradigm. New York, U.S. Springer.

Nakashima, Hideyuki; Aghajan, Hamid; Augusto, Juan Carlos (Eds.) Handbook of Ambient Intelligence and Smart Environments. 2010.

Robert S. Witte, John S. Witte, Statistics, 9th Edition, November 2009, Wiley