700.401 (22W) Pervasive Computing Lab

Wintersemester 2022/23

Registration deadline has expired.

First course session
04.10.2022 13:00 - 15:00 On Campus

... no further dates known

Overview

Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).

For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.

Lecturer

Univ.-Ass. Rockson Agyeman, BSc.MSc.

Course title german

Pervasive Computing Lab

Type

Course (continuous assessment course )

Course model

Attendance-based course

Hours per Week

2.0

ECTS credits

3.0

Registrations

5 (12 max.)

Organisational unit

Institut für Vernetzte und Eingebettete Systeme

Language of instruction

Englisch

Course begins on

04.10.2022

eLearning

Go to Moodle course

Time and place

Please note that the currently displayed dates may be subject to change due to COVID-19 measures.

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Course Information

English

Intended learning outcomes

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:

Using cameras as speed guns: https://youtu.be/HcM8aXYyarQ
Home automation: https://youtu.be/XevK6ALJr5E
Low cost wattmeter for cycling: https://youtu.be/y2bbOzM2yD4
Smart greenhouse: https://youtu.be/z6u3JokKGns

Teaching methodology

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.

Course content

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.

Prior knowledge expected

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

Curricular registration requirements

Not applicable

Literature

Not applicable

Link to further information

Not applicable

Examination information

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.

English

Examination methodology

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

Examination topic(s)

Not applicable

Assessment criteria / Standards of assessment for examinations

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.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Networks and Communications: Advanced (NC) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Technical Complements (NC, ASR) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Technical Complements (NC, ASR) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
- Subject: Networks and Communications (WI) (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 22W.1)
- Subject: Information and Communicatons Enginnering: Supplements (Compulsory elective)
  - 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)

Master's degree programme Information and Communications Engineering (ICE) (SKZ: 488, Version: 22W.1)
- Subject: ICE- Supplements (Compulsory elective)
  - 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)

Equivalent courses for counting the examination attempts

Wintersemester 2024/25

700.401 KS Pervasive Computing Lab (2.0h / 3.0ECTS)

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)