LEARNING OUTCOMES
Ambient intelligence (AmI) refers to environments which are responsive to interaction and sensitive to the presence of people. The intention is to enable people, devices and environments to work together in concert to achieve everyday life tasks or activities intuitively by using information and intelligence hidden in the network connecting these devices. It is expected that, as devices grow smaller, more connected, and more integrated with the environment, the technological framework behind them will disappear from the perception of the people in these environments with which they intuitively interact.
AmI covers aspects of Distributed and Wearable Computing, Distributed algorithms, Human sensing, Pervasive Computing, Ubiquitous Computing, Contextual Awareness, Human-Computer Interaction, Distributed and embedded Systems.
The lecture will introduce basic techniques and domains in Ambient Intelligence from an algorithmic perspective. Particularly, the topics may cover
Radio Sensing Usable Security Ethics- The wireless radio channel
- RF sensing and localization
- Error correcting codes
- Fuzzy cryptography
- Ethics
- Gender
- Audio fingerprinting
- Sensing with audio
- Training and learning
- Useful concepts in machine learning
(Transformer, style-transfer, noise removal, etc.)
- Smart buildings
- Energy
- Health
- Consistency
- Fault tolerance
- Synchronization
- Naming
- Internet of Things
- Backscatter communication
- Security
- Computation offloading
Credits: 1 - 8
Schedule: 08.01.2025 - 09.04.2025
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Stephan Sigg
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Ambient intelligence (AmI) refers to environments which are responsive to interaction and sensitive to the presence of people. The intention is to enable people, devices and environments to work together in concert to achieve everyday life tasks or activities intuitively by using information and intelligence hidden in the network connecting these devices. It is expected that, as devices grow smaller, more connected, and more integrated with the environment, the technological framework behind them will disappear from the perception of the people in these environments with which they intuitively interact.
AmI covers aspects of Distributed and Wearable Computing, Distributed algorithms, Human sensing, Pervasive Computing, Ubiquitous Computing, Contextual Awareness, Human-Computer Interaction, Distributed and embedded Systems.
The lecture will introduce basic techniques and domains in Ambient Intelligence from an algorithmic perspective. Particularly, the topics may cover
Radio Sensing Usable Security Ethics- The wireless radio channel
- RF sensing and localization
- Error correcting codes
- Fuzzy cryptography
- Ethics
- Gender
- Audio fingerprinting
- Sensing with audio
- Training and learning
- Useful concepts in machine learning
(Transformer, style-transfer, noise removal, etc.)
- Smart buildings
- Energy
- Health
- Consistency
- Fault tolerance
- Synchronization
- Naming
- Internet of Things
- Backscatter communication
- Security
- Computation offloading
Assessment Methods and Criteria
valid for whole curriculum period:
Examination, Assignments and group works
Workload
valid for whole curriculum period:
Contact hrs
Independent work
DETAILS
Study Material
valid for whole curriculum period:
Lecture handouts/slides,
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Spring III - IV
2025-2026 Autumn I - II