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Advanced Context Recognition (ACR)
- Dozent/in
- und Mitarbeiter/innen
- Angaben
- Seminar
Online 4 SWS, benoteter Schein, Anwesenheitspflicht, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit:
Vorbesprechung: 26.4.2022, 16:00 - 17:00 Uhr, Raum Zoom-Meeting
- Voraussetzungen / Organisatorisches
- First meeting/Vorbesprechung via Zoom: https://fau.zoom.us/j/66176938630?pwd=eUxTOFhXVlNQNW1Ray93RW9lUmNQQT09
- ECTS-Informationen:
- Credits: 5
- Contents
- ACR introduces and discusses current scientific topics in context recognition (i.e. identifying and describing a situation or state of the environment in the computer) from sensor data, including time series data and image data. Each term, new projects and medical applications are offered for the participating students to choose from. Learning objectives of the seminar are in the field of machine learning and pattern recognition and remain the same across all projects. The learning objectives are supported by practical implementation and validation of context recognition stacks in a project/application selected by the student.
Learning objectives:
This term's project topics will include: (https://www.cdh.med.fau.de/category/work-study/courses/)
Aerosol Dispersion and Viral Load Transfer Models
I2MB – Validation of Activity Patterns in Buildings
Bioacoustic Digestion Analysis
Cardiac Biomarker Estimation in Anorexia Nervosa 2.0
The seminars will be introduced during the first meeting/Vorbesprechung on April 26, 4 pm. The link to the first meeting will be announced soon.
- Literature
- Up-to-date literature recommendations will be provided during the seminars.
- Zusätzliche Informationen
- Schlagwörter: ACR
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
www: https://www.cdh.med.fau.de/category/work-study/courses/ Für diese Lehrveranstaltung ist eine Anmeldung erforderlich. Die Anmeldung erfolgt von Freitag, 1.4.2022, 08:00 Uhr bis Freitag, 6.5.2022, 18:00 Uhr über: StudOn.
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Advanced Context Recognition (ACR)
- Institution: Lehrstuhl für Digital Health
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