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Event

Applied Informatics - Internet Computing [SS242511032]

Type
lecture (V)
Präsenz
Term
SS 2024
SWS
2
Language
Deutsch
Appointments
12

Lecturers

Organisation

  • Institut für Angewandte Informatik und Formale Beschreibungsverfahren

Part of

Literature

Wird in der Vorlesung bekannt gegeben

Appointments

  • 18.04.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 25.04.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 02.05.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 16.05.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 06.06.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 13.06.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 20.06.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 27.06.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 04.07.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 11.07.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 18.07.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
  • 25.07.2024 11:30 - 13:00 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal

Note

The lecture Applied Computer Science - Internet Computing provides insights into fundamental concepts and future technologies of distributed systems and Internet computing. Students should be able to select, design and apply the presented concepts and technologies. The course first introduces basic concepts of distributed systems (e.g. design of architectures for distributed systems, internet architectures, web services, middleware).

In the second part of the course, emerging technologies of Internet computing will be examined in depth. These include, among others:

  • Cloud Computing
  • Edge & Fog Computing
  • Internet of Things
  • Blockchain
  • Artificial Intelligence

Learning objectives:

The student learns about basic concepts and emerging technologies of distributed systems and internet computing. Practical topics will be deepened in lab classes.

Recommendations:

Knowledge of content of the module [WI1INFO].

Workload:

The total workload for this course is approximately 135-150 hours.