[Ict4d] Free Mobile sensing in android course being offered for 2 days in 5-9 November

[David Johnson]

Hi all

Veljko Pejovic from University of Ljubljana, Slovenia will be visiting
UCT from 1 to 15 November  has offered to do a mobile sensing android
course over 2 days. If you are interested in doing the course let me
know. We will pin down 2 mornings or afternoons between 5 and 9
November once I've confirmed venues and best slots

Let me know if you are interested in attending (and fill in survey at
the end) or please forward onto students / lists who may be interested
in attending

Here is a description of the course:

Sensors embedded in our phones, such as GPS, accelerometers,
microphones, cameras, and others, can be harnessed for designing
applications that are aware of their surroundings and better aligned
with their users' intentions.

This course targeting beginner to intermediate Android programmers
aims to equip you with the tools needed for bringing context awareness
to mobile phones. We will cover the basics of building Android
applications and focus on issues that are crucial for efficient
sensing. We will see how to get information from different sensors,
such as accelerometer and location sensors. We will then look into the
ways of doing sensing periodically and in an energy efficient way.
Finally, we will look into tools that enable us to mine the data
obtained through sensing.

The course is divided in two three-hour lectures:

- Session 1 - Android programming basics: Android Framework,
Application structure, Manifest file, Application look and feel,
Android Activity, Task back stack, Intents, Concurrency via
AsyncTasks, Services.
- Session 2 - Android sensing implementation: Sensor sampling, Best
practices in sensing, Location and acceleration sampling, Orange data
mining suite.

IMPORTANT: The course requires that each student has the Android Studio
environment installed on his/her laptop and that each student has an
Android mobile phone and data USB cable. Due to the mini course’s
hands-on nature the participation is limited to 20 students.

ENTRY QUESTIONNAIRE: To better tailor the course to your needs, please
fill in the following survey:

https://docs.google.com/forms/d/e/1FAIpQLScmpkHhZKopjnEHqRNB46faqNfZNLKlnTWAjYirEOBHBX81OA/viewform?usp=sf_link



Bio: Dr Veljko Pejovic is an assistant professor at the Faculty of
Computer and Information Science, University of Ljubljana, Slovenia.
He completed his PhD in computer science at the University of California,
Santa Barbara, USA in 2012 on the topic of resource-efficient wireless
communication for rural areas. From 2012 to 2014 Dr Pejovic worked as
a research fellow at the University of Birmingham, UK in the area of
mobile computing and sensing. His work on modelling users’ movement
and communication behaviour from mobile call records has won the 2013
Orange Data for Development Challenge, while his work on on developing
machine learning models of interruptibility based on sensor data
resulted in the best paper nomination at the 2014 ACM UbiComp
conference. He is interested in mobile sensing, particularly for human
behaviour inference, and wireless and resource-efficient mobile
computing.


Regards
David

-- 
Dr David Johnson
Director, Ammbr Research Labs South Africa
Part of the AmmbrTech Group
http://www.ammbrtech.com

Adjunct Senior Lecturer
ICT4D, Computer Science Department
University of Cape Town
https://people.cs.uct.ac.za/~djohnson/