Every winter semester
5 Credit points
For information on the duration of the modul, refer to the courses of study in which the module is used.
Non-official translation of the module descriptions. Only the German version is legally binding.
Students gain an overview over basic research questions, designs and development techniques for ambient intelligence systems, including methods for sensory-based registration for distributed systems, techniques for the representation of information and communication with the human users. Application fields of Ambient Intelligence such as smart rooms, augmented reality-based assistance systems, tangible user interfaces are covered, as well as the economic, social and ethical implications of Ambient Intelligence. Furthermore, the participants familiarize with basic techniques of sound and music computing (SMC), digital processing of audio signals, sound synthesis and sonification. Beyond technological basics, methods for the evaluation of ambient information systems are discussed.
This module 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.
Recommended but not mandatory: Datamining
Related to: Human Machine Interaction, Interaction Design
—
Notes on course selection:
Students must choose in each case one of the lectures with a corresponding exercise.
Ungraded / graded module examination:
In some degree programmes, the module (partial) examination can also be "ungraded" at the student's discretion. A corresponding specification must be made before the module is taken; a subsequent change (graded - ungraded) is not possible. If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
Module structure: 0-1 bPr, 0-1 uPr 1
the lectures offered with the associated exercise are alternatives
the lectures offered with the associated exercise are alternatives
In some degree programmes of the Faculty of Technology, the module examination can also be "ungraded" at the student's discretion (see explanations of the module elements and the respective subject-specific regulations). If the ungraded option is selected, it is not possible to use this module for a degree programme in which this module is taken into account in the overall grade calculation.
See below for explanations of this examination (graded examination option).
Oral examination of 15 to 20 minutes or written examination (90-120 minutes) on the contents of the lecture.
Whether the module is completed with a written or oral examination will be announced by the teaching staff at the start date of the course. In exceptional cases, an essay (up to 3 A4 pages as a final report) with a design or programming task strongly related to the knowledge and skills taught can be planned by the teaching staff. By dealing with the task (or programming task), students demonstrate exemplary knowledge and skills, whereby it is necessary to take the entire context of the module into account.
| Degree programme | Version | Profile | Recommended start 3 | Duration | Mandatory option 4 |
|---|---|---|---|---|---|
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 1 | 1. | one semester | Compulsory optional subject | |
| Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] | Variante 2 | 1. | one semester | Compulsory optional subject | |
| Fundamentals of Cognitive Systems / Bachelor [FsB vom 04.06.2020] | Minor Subject (Academic), 60 CPs | - | 5. | one semester | Compulsory optional subject |
| Informatics / Bachelor [FsB vom 04.06.2020 mit Änderung vom 15.12.2021] | Minor Subject (Academic), 60 CPs | Practical Informatics | 5. | one semester | Compulsory optional subject |
| Informatics / Bachelor [FsB vom 04.06.2020 mit Änderung vom 15.12.2021] | Minor Subject (Academic), 60 CPs | Technical Informatics | 5. | one semester | Compulsory optional subject |
| Informatics / Bachelor [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 15.11.2019 und 16.08.2021] | Minor Subject (Academic), 60 CPs | Practical Informatics | 5. | one semester | Compulsory optional subject |
| Informatics / Bachelor [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 15.11.2019 und 16.08.2021] | Minor Subject (Academic), 60 CPs | Technical Informatics | 5. | one semester | Compulsory optional subject |
| Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] | - | 1. | one semester | Compulsory optional subject | |
| Cognitive Informatics / Bachelor of Science [FsB vom 30.09.2016 mit Änderungen vom 15.09.2017, 02.05.2018, 01.07.2019 und 16.08.2021] | Bachelor with One Core Subject (Academic) | - | 5. | one semester | Compulsory optional subject |
| Informatics for the Natural Sciences / Master of Science [FsB vom 30.09.2016 mit Berichtigung vom 10.01.2017 und Änderungen vom 15.09.2017, 02.05.2018, 04.06.2020 und 31.03.2023] | - | 1. | one semester | Compulsory optional subject |
The system can perform an automatic check for completeness for this module.
Data Science / Master of Science // Variante 1
Data Science / Master of Science // Variante 2
Fundamentals of Cognitive Systems / Bachelor: Minor Subject (Academic), 60 CPs [FsB vom 04.06.2020]
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020]
This website uses cookies and similar technologies. Some of these are essential to ensure the functionality of the website, while others help us to improve the website and your experience. If you consent, we also use cookies and data to measure your interactions with our website. You can view and withdraw your consent at any time with future effect at our Privacy Policy site. Here you will also find additional information about the cookies and technologies used.