700.401 (21W) Pervasive Computing Lab

Wintersemester 2021/22

Anmeldefrist abgelaufen.

Erster Termin der LV
05.10.2021 14:00 - 16:00 B04.1.03 On Campus
... keine weiteren Termine bekannt

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 8 (14 max.)
Organisationseinheit
Unterrichtssprache Englisch
LV-Beginn 05.10.2021
eLearning zum Moodle-Kurs

Zeit und Ort

Beachten Sie bitte, dass sich aufgrund von COVID-19-Maßnahmen die derzeit angezeigten Termine noch ändern können.
Liste der Termine wird geladen...

LV-Beschreibung

Intendierte Lernergebnisse

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 home automation, asset access management, smart agricultural, and traffic management applications, to name a few.

Therefore, this course aims to identify some aspects of human lives that can be automated using a combination of sensors, actuators, and embedded platforms.

In this course, participants will define the problem they intend to solve in the form of a project proposal. All hardware, software, and tools required shall be provided.

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

Pervasive Computing is the idea that almost anything, such as clothing, tools, everyday home appliances, cars, houses, farms, the human body, or the coffee mug, can be embedded with chips that support data processing and communication with other things.

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

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 to the chosen project
  • Submitted report on the chosen project

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) ………… 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.

Important Dates:

  • Proposal submission – 26th October, 2021.
  • Proposal presentation – 9th November, 2021.
  • Milestone update – Usually every two weeks. Changes will be communicated before the next class.
  • Final project presentation – 25th January, 2022.
  • Final report submission -  1st February, 2022.

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 2022/23
  • 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)