700.401 (22W) Pervasive Computing Lab

Wintersemester 2022/23

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Erster Termin der LV
04.10.2022 13:00 - 15:00 B04.1.03 On 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
Semesterstunde/n 2.0
ECTS-Anrechnungspunkte 3.0
Anmeldungen 5 (12 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 04.10.2022
eLearning zum Moodle-Kurs

Zeit und Ort

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LV-Beschreibung

Intendierte Lernergebnisse

Pervasive Computing is the idea that day-to-day objects such as light bulbs, flower pots, coffee mugs, shoes, chairs, carpets, etc., can be embedded with microprocessors, thus making them capable of data processing and communication.

This lab course in Pervasive Computing aims to identify aspects of human lives that can be automated using a combination of sensors, actuators, and embedded platforms. 

Specifically, the objective is to identify a problem (in the domain of Pervasive Computing), design a practical solution, implement the solution as a prototype and demonstrate how the implemented solution solves the identified problem. 

Course participants can propose their research ideas or choose from existing research problems.

All hardware, software, and tools required shall be provided.

Some past project videos:

Lehrmethodik

Course participants shall work in groups of two (2) to design and implement practical solutions to problems in Pervasive Computing. The first three (3) to four (4) meetings shall be lectures on existing embedded platforms and some selected communication protocols. Participants shall use the remaining weekly lecture hours to implement their chosen projects.

Inhalt/e

Some examples of pervasive computing devices / systems / applications are:

  • Precision (smart) agricultural systems
  • Smart lock (security) systems
  • Smartwatches (Apple Watch, Fitbit, Samsung Active2, MiBand5, etc)
  • Automatic heating, ventilation and air conditioning (HVAC) systems
  • Real-time bus information systems
  • Automatic irrigation systems
  • Object recognition / tracking /surveillance systems
  • Health monitoring applications
  • Vehicle information / management /  maintenance applications
  • Environment monitoring applications
  • Home automation applications 
  • Utility meter / monitoring applications
  • Asset tracking and management applications

The goal of this course is to identify some repetitive (everyday) human activities and automate these activities using hardware and software. 

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

Curriculare Anmeldevoraussetzungen

Not applicable

Literatur

Not applicable

Link auf weitere Informationen

Not applicable

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.

Prüfungsmethode/n

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(s) to the chosen project
  • Submitted report on the implemented project

Prüfungsinhalt/e

Not applicable

Beurteilungskriterien/-maßstäbe

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) ………… 10%

3. Final project demonstration (presentation) ………..… 20%

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 Information and Communications Engineering (ICE) (SKZ: 488, Version: 22W.1)
    • Fach: Information and Communicatons Enginnering: Supplements (Wahlfach)
      • 1.3b Ausgewählte Lehrveranstaltungen (siehe Curriculum Seite 16) ( 0.0h VC, KS / 14.0 ECTS)
        • 700.401 Pervasive Computing Lab (2.0h KS / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 22W.1)
    • Fach: ICE- Supplements (Wahlfach)
      • 2.3b Ausgewählte Lehrveranstaltungen (siehe Curriculum Seite 18) ( 0.0h VC, KS / 14.0 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)
Sommersemester 2021
  • 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)