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Presentation
Presentation
The Curricular Unit of Advanced Topics in Internet of Things comprises the deepening of knowledge, skills and research on topics related to the Internet of Things (IoT) and its applications in the context of the Internet of the future. It follows a research-oriented approach in accordance with what is intended with a PhD Program in Informatics.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Doctorate | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Optional | Português
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Code
Code
ULHT1504-25633
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Syllabus: Introduction to the Internet of Things (IoT) IoT Networks IoT Applications: vertical and horizontal applications (with emphasis on healthcare and assisted living environments) Logical Layer Protocols Network Layer Protocols Application Layer Protocols Middleware for IoT IoT Management Internet of Things in Motion Case Studies Study and Critical Analysis of scientific publications on the program contents
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Objectives
Objectives
The intended learning outcomes for this curricular unit are as follows: • Deepen knowledge about new technologies and architectures of emerging networks, focusing on sensor networks, body sensor networks, the Internet of Things, and their applications in the context of the Internet of the Future (e.g., vertical applications for health and assisted living environments); • Understand the latest advances with these emerging network technologies (such as sensor networks, body sensor networks, and vehicular networks) and new paradigms of networks and communications, use and build new solutions based on the Internet of Things; • Deepen scientific culture through the study and analysis of scientific publications; • Understand the research process in the Internet of Things, develop scientific work in next-generation network technologies, and disseminate the achieved results.
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Teaching methodologies
Teaching methodologies
Classes follow expository and active methods in which student are the protagonists of the teaching-learning process. The active participation of students in the teaching and learning process is encouraged through questions that stimulate interest in the topics and through the analysis of published scientific works. When appropriate, the presentation of the subject includes a presentation and discussion of case studies. Some problems are presented for students to analyze and solve. Students are encouraged to analyze scientific works and improve their ability to summarize, prepare and present work in the classes, as well as plan and prepare a final work of a scientific nature.
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References
References
Rajkumar Buyya, Amir V. Dastjerdi, “Internet of Things: Principles and Paradigms”, Elsevier, EUA, 2016. Olivier Hersent, David Boswarthick, Omar Elloumi, “The Internet of Things, Key Applications and Protocols”, John Wiley & Sons, Inc., UK, 2012. Hakima Chaouchi, “The Internet of Things: Connecting Objects”, Wiley, 2010.
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Assessment
Assessment
Os instrumentos de avaliação são individuais e consistem na realização de dois trabalhos como se apresentam a seguir:
1. Elaboração de um resumo, apreciação crítica, apresentação e discussão de um artigo científico relacionado com um tópico da disciplina (30%);
2. Realização de um trabalho de caráter científico a ser entregue e apresentado nas aulas próximo do final do semestre (70%).
Descrição
Data limite
Ponderação
Trabalho para avaliação 1
21-03-2024
30%
Trabalho para avaliação 2
28-05-2024
70%
O docente fará um acompanhamento individual de cada aluno tanto ao longo do semestre, sempre que o estudante o procure e agende um atendimento, como no espaço de cada aula reservado para o efeito.
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Mobility
Mobility
No
