392127 Ambient Interfaces (V) (WiSe 2020/2021)

Short comment

Lehrformat: online, synchron, Zoom

Contents, comment

The Lecture on Ambient Interfaces will introduce concepts, technologies and applications of Ambient Intelligence. Starting with a basic introduction and definition of the research field we will discuss social, ethical and economic implications of ambient Intelligence. This is followed by an excursion into tightly related neighboring fields such as Smart homes, Physical Computing, Sustainable Computing, Ambient Information systems, Auditory Displays and Sonification, which all provide important impulses for ambient interfaces. We review and discuss practical aspects of ambient interfaces, particularly concerning the practical implementation and how to evaluate systems.

The module 39-Inf-AIAI offers an introduction to basic methods of Ambient Intelligence, Ubiquitous and Pervasive Computing, Augmented Reality and Physical Computing, with focus on techniques for data perceptualization and sonification for smart environments. Depending on the course, the focus is more on Auditory Displays or Ambient Intelligence. The module conveys the foundations of sensor- and display technologies for Ambient Intelligence systems and presents various examples for novel ways to represent and interact with data. The module qualifies participants particularly for Basic Project Intelligent Systems with focus on Ambient Intelligence.

Requirements for participation, required level

Kenntnisse in Datamining
Querbezüge zu: Mensch-Maschine Schnittstellen, Interaction Design

Recommended but not mandatory: Datamining
Related to: Human Machine Interaction, Interaction Design

Bibliography

a script and set of scientific articles will be provided via the Lernraum (e-learning space)

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 16-18 ONLINE   03.11.2020-12.02.2021

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-Inf-AIAI Ambient Intelligence and Auditory Interfaces Ambient Interfaces Student information
- Ungraded examination Graded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

No more requirements
E-Learning Space
E-Learning Space
Registered number: 70
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2020_392127@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_229502933@ekvv.uni-bielefeld.de
Coverage:
38 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, June 19, 2020 
Last update times:
Monday, October 26, 2020 
Last update rooms:
Monday, October 26, 2020 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=229502933
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
229502933