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Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261)

Lehrveranstaltung 0000004490 im WS 2023/4

Basisdaten

LV-Art Praktikum
Umfang 6 SWS
betreuende Organisation Informatik 11 - Lehrstuhl für Connected Mobility (Prof. Ott)
Dozent(inn)en Giovanni Bartolomeo
Raphael Hetzel
Christian Prehofer
Leitung/Koordination: Jörg Ott
Termine Fr, 13:00–17:00, MI 02.09.023
Mo, 14:00–18:00, MI 02.09.023

Zuordnung zu Modulen

weitere Informationen

Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).

ergänzende Hinweise The Internet interconnects people globally and allows access to networked services prettymuch anytime, anywhere. The notion of the Internet of Things (IoT) extends this topervasive devices (i.e. the "Things"), which are increasingly networked and connected to theInternet. These devices can act as sensors or actuators can interact with other devices, e.g.including mobile phones, and with the global Internet.Edge Computing is an upcoming infrastructure paradigm where computation is pushedcloser to the data source and executed on a broad range of devices ranging from RPIs tosmall microservers. It enables faster connections, data preprocessing and cleansing, andfaster reaction time compared to cloud services. As sensors can create massive amounts ofdata, the interplay between IoT devices and edge networks assumes a fundamental role inthe process of reducing core network saturation by offering an offloading platform where todeploy smart services independent from the cloud.The Edge Computing and the Internet of Things course aims to build local services based onIoT devices relevant to the people at a given place and time using Raspberry Pis andenhanced WLAN access points, mobile devices and local sensors. The goal of this practicalcourse is threefold:1. Understand the background and underlying concepts of IoT and Edge Computingbased on sensing and Internet connectivity. We will provide introductory lectures andpractical sessions for the background and the tools.2. Conceptualize an application/service that fits some definition of localized IoT andedge computing with particular interest in exploiting sensing and location.3. Design and implement your idea in a team and demonstrate it at the end of the classby documenting your system.To illustrate the above, examples of applications could be:● A service to analyse vehicle data inside a vehicle or in an edge computing device,depending on the current load and network condition.● A digital version of geocaching where content can be retrieved and posted via shortrange radio rather than exchanging physical goods with the cache.● A local music sharing tool that allows exploring what people around you (e.g., in acertain café) would listen to.● A basic edge analytics application using images or video feeds to do people counting(e.g. in a cafe).Topics covered during the lectures:● Programming things: IoT OS, hardware abstractions, IoT programming frameworks● Connecting things: lower layers, IPv6, transport protocols● Web of things: REST, MQTT, CoAP● IoT service architectures: Cloud-based, edge-based, device-to-device● IoT services: Mashups, big data, machine learning● Overview of security and IoT: privacy, threat models, attacks, mechanisms
Links LV-Unterlagen
E-Learning-Kurs (z. B. Moodle)
TUMonline-Eintrag

Gleiche Lehrveranstaltungen (z. B. in anderen Semestern)

SemesterTitelDozent(en)Termine
SS 2022 Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261) Bese, M. Hetzel, R. Prehofer, C.
Leitung/Koordination: Ott, J. 		Fr, 13:00–17:00, MI 01.13.007
Mo, 16:00–18:00, MI 01.13.007
SS 2021 Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261) Cozzolino, V. Kärkkäinen, T. Prehofer, C.
Leitung/Koordination: Ott, J.
WS 2020/1 Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261) Cozzolino, V. Kärkkäinen, T. Prehofer, C.
Leitung/Koordination: Ott, J.
WS 2019/20 Master Practical Course: Edge Computing and the Internet of Things (IN2106, IN4261) Cozzolino, V. Kärkkäinen, T. Prehofer, C.
Leitung/Koordination: Ott, J.
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