700.401 (21S) Pervasive Computing Lab

Sommersemester 2021

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Erster Termin der LV
02.03.2021 13:00 - 15:00 - Off Campus
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Überblick

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Präsenz-Lehreveranstaltungen und Umstellung auf Online-Prüfungen) erforderlich sein.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
Lehrende/r
LV-Titel englisch
Pervasive Computing Lab
LV-Art
Kurs (prüfungsimmanente LV )
LV-Modell
Präsenzlehrveranstaltung (Online-Option )
Semesterstunde/n
2.0
ECTS-Anrechnungspunkte
3.0
Anmeldungen
6 (14 max.)
Organisationseinheit
Unterrichtssprache
Englisch
mögliche Sprache/n der Leistungserbringung
Englisch
LV-Beginn
02.03.2021
eLearning
zum Moodle-Kurs

Zeit und Ort

Beachten Sie bitte, dass sich aufgrund von COVID-19-Maßnahmen die derzeit angezeigten Termine noch ändern können.
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LV-Beschreibung

Intendierte Lernergebnisse

Work in a team to formulate a realistic problem in Pervasive Computing, design a practical solution, implement the solution as a prototype and demonstrate how the implemented solution solves the identified problem.

Lehrmethodik

Students shall work in groups of two (2) to design practical solutions to problems in Pervasive computing. The first two meetings shall be lectures on existing embedded platforms, and some selected wired and wireless communication protocols. Students shall use the remaining weekly lecture hours to implement their chosen projects.

Inhalt/e

Modern environments are regulated by technologies that operate (provide value) in the background and do not necessarily get in the way of users. These technologies are used for purposes such as home automation, assert access management, smart agricultural applications and traffic management, to name a few.

The goal of this course (lab) is to identify some aspects of human lives that can be automated using a combination of sensors, actuators and embedded platforms. For example, a smart greenhouse application requires the use of a soil moisture sensor to monitor the water requirement of plants, and, an irrigation pump is automatically turned on once the soil water content reduces to a threshold.

In this course, students will work in teams (in groups of two). Each team defines the problem it intends to solve, and, team members are expected to contribute equally to the implementation of the chosen project. All hardware, software and tools required for the approved projects shall be provided.

Erwartete Vorkenntnisse

 A basic understanding of the following will be beneficial for this course:

  • Computer hardware assembly (interfacing)
  • Computer programming (C, C++, C#, Python, MicroPython, etc)
  • Communication protocols (wired and wireless)
  •  Electronics concepts
  •  Embedded systems
  • Sensor networks

Prüfungsinformationen

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Beurteilungskriterien/-maßstäbe

There is no written examination for this course.

 Instead, this course shall be graded based on

  • The successful implementation and demonstration of the chosen project
  • Oral assessment of members' contribution to the chosen project
  • Submitted report on the chosen project

The course grades are divided into four (4) components. The detailed grading for this course is as follows:

1. Project proposal and presentation …………………… 10%

2. Project implementation and milestones (total: 55%)

                 Overall project implementation …………………… 50%

                 Milestone reporting (every two weeks) …………………… 5%

3. Final project demonstration (presentation) …………………… 25%

4. Final project report submission …………………… 10%

A minimum of 50% is required to pass this course.

Please note that with the exception of Milestone Reporting, all other components are mandatory. Failure to participate in any of them is a fail.

Beurteilungsschema

Note Benotungsschema

Position im Curriculum

  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Networks and Communications: Advanced (NC) (Wahlfach)
      • Wahl aus dem LV-Katalog (siehe Anhang 2) ( 0.0h VO, VK / 30.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Networks and Communications (WI) (Wahlfach)
      • Wahl aus dem LV-Katalog (siehe Anhang 2) ( 0.0h VO, VK / 30.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Technische Mathematik (SKZ: 401, Version: 13W.1)
    • Fach: Informationstechnik (Wahlfach)
      • Pervasive Computing ( 2.0h KU / 3.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2021/22
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2019/20
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2018/19
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2017/18
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2016/17
  • 700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2014/15
  • 700.401 KU Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2013/14
  • 700.401 KU Pervasive Computing Lab (2.0h / 3.0ECTS)
Wintersemester 2012/13
  • 700.401 KU Pervasive Computing Lab (2.0h / 3.0ECTS)