1. Lecture 1: Getting Ready
Topics: People and Course Overview

2. People Let’s introduce ourselves! Your name What year and major/minor?
Why COMP 433?

3. Learning Objective
Learning the basics of Mobile Application Development using Android APIs.
Learning about some selected topics on Mobile System and Networks.
Some (after spring break)
Mostly

4. What to Expect Develop “proof of concept” Android Apps.
A lot of programming and self-learning.

5. What not to Expect You will be a “pro” or a “hacker”.
The TA is for “debugging” my program.

6. Course Structure
Lecture
Class Work
Assignment
Project
Final

7. Grading Class Attendance (3%) Class Work (12%)
Programming Assignments (40%)
Project (20%)
Final (25%)

8. Example: Course Organization/Flow
Getting Ready
Android Studio
Building 1st App
Framework
Intent
Assignment 1 (due)

9. Office Hours and Resources
Office Hour: Friday 11am – 12:00pm ( )
TA: A grad student (office hours: Friday 2pm-4pm)
GitHub:
Course Webpage:
Sakai:
Piazza:
IDs in CC.

10. Some Logistics Absence Late Assignments Office/TA Visit
Class Etiquette

11. Spring 2016 – Interesting Projects (1)
Project: Breadcrumbs

12. Spring 2016 – Interesting Projects (2)
Project: Balance Buddy

13. Mobile Computing Systems
A portable electronic device along with its communication infrastructure, that enables computation and wireless communication.

14. Smart *
“Smart” mobile systems contain a mobile OS that can run mobile Apps.

15. Smart+ *
“Smart” mobile systems often contain – a touch screen, built-in GPS receiver, sensors, in addition to what a standard computer has.
Example of phone sensors:
Accelerometer
Magnetometer
Gyroscope
Compass
Light
Proximity
Temperature
Pressure

16. Computing Devices Device Processor Mem Storage Connectivity Laptop
(Macbook Pro)
2.80 GHz
16 GB
512 GB
WiFi
Smartphone
(Nexus 6P)
1.55 GHz
3 GB
128 GB
WiFi, Cellular, BLE, NFC
Wearables
(Gear S)
1 GHz
512 MB
4 GB
WiFi, BLE, NFC
Raspberry Pi 3
1.2 GHz
1 GB
microSD
Ethernet, WLAN, BLE
Arduino UNO
(ATmega328P)
16 MHz
2 KB
32 KB
Various shields
Intel Joule
1.7 GHz
WiFi, BLE

17. Wireless Networks Network Type Speed Range Power Common Use WLAN
600 Mbps
45 m – 90 m
100 mW
Internet.
LTE
5-12 Mbps
35km
120 – 300 mW
Mobile Internet 3G
2 Mbps
3 mW
Bluetooth
1 – 3 Mbps
100 m
1 W
Headsets, audio streaming.
Bluetooth LE
300 Kbps
100+ m
.01–.5 W
Wearables, fitness.
Zigbee
100 Kbps
0.45 mW
WSN
(The numbers are not that simple to estimate exactly, but should give you an idea)

18. Putting them together
A mobile system often consists of sensors, mobile phones, and a server who talk to each other over BLE and WiFi, as appropriate.

19. Two Example Systems Android Based System (MobiCOG)
Wearable + Android System
(PAWS)

20. Android Example: MobiCOG
Automation of MiniCog – a paper based 3 minute dementia pre-screening test.

21. Video Demo – MobiCOG

22. Android Example: MobiCOG
Features:
Chain Codes
Symmetry
Classifier:
k-NN 1
Chain-Code = (0,2,0,3,1,1,3,0)
Symmetry = (80%, 70%)

23. PAWS
A multi-channel audio headset and a mobile app that detects and localizes cars and alerts a user in real-time.

24. Video Demo

25. Next … Complete Assignment #0. Download and install Android Studio.
Read the “Class Work 1” ahead of time.
Bring your laptop, Android device, and USB cable.
After a brief lecture (Android Studio), we will complete class work 1 together.

26. Assignment #0
Complete the assignment (strongly recommended)