2025
Mobile and Ubiquitious Computing
Name: Mobile and Ubiquitious Computing
Code: INF13264M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Informatics
Teaching languages: Portuguese, English
Languages of tutoring support: Portuguese, English
Regime de Frequência: E-learning
Sustainable Development Goals
Learning Goals
Introduction to mobile and ubiquitous computing systems. Description of the essential features of mobile and ubiquitous computing environments as well as the technologies they use.
Contents
Introduction to Ubiquitous Computing
Wireless communication networks
Mobile adpative computing
Data dissemination and management
Context-aware computing
Location-based services
Systems for mobile plataforms:
Symbian
Android
iOS
Wireless communication networks
Mobile adpative computing
Data dissemination and management
Context-aware computing
Location-based services
Systems for mobile plataforms:
Symbian
Android
iOS
Teaching Methods
Lectures and practical classes with exercises that allow the gradual learning of the different mobile systems. Active learning is sought to stimulate the student to develop the various topics that are addressed in this curricular unit.
Artificial Intelligence Use Policy
The use of AI tools is permitted in this course unit as technical, analytical, and learning support, provided that students understand, validate, and take full responsibility for the outputs produced. The fabrication of sources, data, or results constitutes a serious breach of academic integrity.
Acceptable uses:
- Support for technical writing and report revision.
- Code generation, provided that it is validated and clearly explained.
- Support for data analysis or hypothesis formulation, with manual verification.
Unacceptable uses:
- Submitting reports, code, or results produced entirely by AI.
- Presenting data, equations, or references generated without verification.
- Using AI in assessments without explicit instructor authorization.
Consequences:
Improper use will be considered academic misconduct under Article 119 of the Academic Regulation (Code of Conduct, Academic Fraud, and Plagiarism).
Artificial Intelligence Use Policy
The use of AI tools is permitted in this course unit as technical, analytical, and learning support, provided that students understand, validate, and take full responsibility for the outputs produced. The fabrication of sources, data, or results constitutes a serious breach of academic integrity.
Acceptable uses:
- Support for technical writing and report revision.
- Code generation, provided that it is validated and clearly explained.
- Support for data analysis or hypothesis formulation, with manual verification.
Unacceptable uses:
- Submitting reports, code, or results produced entirely by AI.
- Presenting data, equations, or references generated without verification.
- Using AI in assessments without explicit instructor authorization.
Consequences:
Improper use will be considered academic misconduct under Article 119 of the Academic Regulation (Code of Conduct, Academic Fraud, and Plagiarism).
Assessment
The continuous assessment regime comprises the completion of a short paper (30%), six short practical assignments (5% each), and a longer practical assignment (40%).
The final assessment regime consists of a practical assignment, accounting for 70% of the final grade, and a short paper, accounting for the remaining 30%.
The final assessment regime consists of a practical assignment, accounting for 70% of the final grade, and a short paper, accounting for the remaining 30%.
Teaching Staff
- Vítor Manuel Beires Pinto Nogueira [responsible]
