2017-IoT
Spring 2017, CSIE Room 65104, 09:10~12:00 Tuesday
Instructor: Kun-chan Lan
(this course is offered in English)
an introductory course to teach you how to become a “maker” of Internet of Things (IoT) technology using publicly-available open-sourced tools
Goal:
- a brief walk-through of the open-source tools (both hardware and software) you can use to create an IoT application.
- Create your own IoT product at the end of the course.
Objectives
- We start an introduction of various open-sourced tools such as Arduino, Android, and Hadoop
- Followed by with describing the theoretical part of IoT technology
- Guide you through the cycle from having an idea to finally creating a real product
- A strong hands-on focus
Scope
- Arduino
- Android programming
- Hadoop
- Sensor Network
- Localization
- Introduction to machine learning
Prerequisite
- Programming knowledge in Java/C++ (should have been covered in Program Design I/II)
Lecture Slides
- Week 1: Administration issue slide , video record
- Week 2: School holiday
- Week 3: Introduction to Sleep & Pressure--> Slide, VDO1, VDO2
- Week 4: Tutorial for homework Slide -->HW#code HW#1-Arduino, HW#1-3Dprinitng, HW#2
- Week 5: Introduction to Arduino and Rasberry Pi --> VDO
- Week 5: Slide --> intro to RPi, Arduino part 1, part 2, part3, part4
- Week 5: Video --> Intro-Arduino, Arduino IDE, Basic Arduino programming, Arduino IO
- Week 5: Take-home exercise2 (due 3/28)
- Week 6: Android Programming (I) --> VDO
- Week 6: Slide --> Intro-Android, Android programming, GUI design, Spinner
- Week 6: Video --> Intro-Android, Android programming, GUI design, Spinner
- Week 8: Android Programming (II) --> VDO
- Week 8: Slide --> Part1, Part2, Part3, Part4
- Week 8: Video --> Part1, Part2, Part3, Part4
- Week 8: Take-home exercise3 (due 4/11)
- Week 9: Introduction to Hadoop --> VDO
- Week 9: Slide --> Part1, Part2, Part3, Part4
- Week 9: Video --> Part1, Part2, Part3, Part4
- Week 9: Take-home exercise4 (due 4/18) , Project related sensor slide
- Week 10: A network of Sensors (I)
- Week 10: Slide --> Part1, Part2, Part3, Part4, IoT-Net protocol
- Week 10: Video
- Week 10: Take-home exercise5 (due 4/25)
- Week 11: A network of Sensors (II)
- Week 11: Slide--> Part1, Part2, Part3, Part4, Sensor network and energy issue
- Week 11: Video--> Open source, Big data, OSI, Intro to AdhocNet
- Week 11: Take-home exercise6 (due 5/2)
- Week 12: Localization (I)
- Week 12: Slide--> indoor-localization
- Week 14: introduction to machine learning
Announcement |
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Date | Content | |
03/14 | Please bring your laptop to class | |
03/21 | Bring-home exercise: Topic presentation (group) | |
03/28 | Take-home exercise#2 presentation | |
04/11 | Take-home exercise#3 presentation | |
04/18 | Take-home exercise#4 presentation | |
04/25 | Homework 1 demo , Take-home exercise#5 presentation | |
05/02 | Project proposal report due , Take-home exercise#6 presentation | |
05/16 | No class | |
05/23 |
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06/06 |
Demo the function you’ve completed (50% progress) •Demo the completed hardware (casing etc) •Detailed algorithm for step calculation and IBI/step calculation •Battery setup •System flow chart (considering multiple sensors/tasks) |
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06/13 |
For project demo, you need to prepare: 1. A 5-min demo uploaded to YouTube in advance 2. On-site demo (projecting it to the screen) 3. Job description (Who does what? / How you did it?) |
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Current grade | "Click" |
Instructor
Prof. Kun-chan Lan
Office: new CSIE building 12F 65C05
Office hours: 3-4 pm on Wednesday and Friday, or by appointment via e-mail
Email:
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TEL: +886 6 2757575 ext 62550
TA
Paweeya Raknim
Office: new CSIE building 5F
Office hours: 2-4 pm on Monday and Tuesday
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it.
TEL: 06-2757575 ext.62520 (and then another extension 35)
Grading Policy
Project (35%)
- Report (10%)
- Codes and documentation (10%)
- Demo (15%)
Homework Exercise (30%)
Exam (35%)
- Final (15%)
- Quiz (20%)
Extra credits
- Class participation
- Up to 10%
Syllabus
week 1 (2/21) Administration issue
week 2 (2/28) school holiday
week 3 (3/7) introduction to Sleep & Pressure (by Dr. Shaw from Psychology Department)
week 4 (3/14) tutorial for homework
week 5 (3/21) Introduction to Arduino and Rasberry Pi, Take-home-exercise #1 presentation
week 6 (3/28) Android Programming (I), Take-home-exercise #2 presentation
week 7 (4/4) school holiday
week 8 (4/11) Android Programming (II)
week 9 (4/18 ) Introduction to Hadoop
week 10 (4/25) A network of Sensors (I), Homework I due
week 11 (5/2) A network of Sensors (II), project report due
week 12 (5/9) Localization (I)
Week 13 (5/16) conference travel
week 14 (5/23) Localization (II), Homework II due
week 15 (5/30) school holiday
week 16 (6/6) introduction to machine learning
week 17 (6/13) in-class project demo
week 18 (6/20) final exam
TakeHome-Exercise
Download Take-home exercise Here
Term Project
- Code and document of each group "download here"
- Demo Video
Make a $1000 smart watch
Basic requirement: A watch can
** Display time (LCD) – on board
** Counting your step (accelerometer) – on phone
** Estimate your pressure (HRV + LF/HF) (heart rate sensor) – on phone or on cloud
** Bonus credits (up to 10% of the total credits) will be given if you can do more function (e.g. estimate sleep cycle)
What you need to do:
** Decide the functions you want to implement
** Find the algorithms on the internet
** Buy the needed sensors/equipment ($1000 will be given to each team)
** Implement the algorithms and assemble the parts into a watch
** Demo your product
- Your project ideas (project-related links):
- http://www.playrobot.com/biometrics/331-pulse-sensor.html
- https://read01.com/5oJzK.html
- http://www.pcstore.com.tw/playrobot/M23132383.htm
- https://read01.com/O3EaAP.html
- https://github.com/bagilevi/android-pedometer
- http://duino4projects.com/sleep-tracking-using-an-arduino/
- http://www.itc-ltd.co.jp/pdf/BIODEVICES_2009_124.pdf
- http://ieeexplore.ieee.org/document/7575654/
- http://www.iaea.org/inis/collection/NCLCollectionStore/_Public/43/052/43052895.pdf
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263095/
- http://www.livestrong.com/article/105256-normal-heart-rate-sleeping/
- http://www.mdpi.com/1424-8220/16/5/750/pdf
What should be in the project report?
- What functions you plan to implement in your smart watch
- The algorithms you’re going to use to implement your functions
- How your watch is supposed to look like (e.g. a 3D model of your watch)
Project report
You will need to submit a 2 pages project report that explains what you plan to do for your project and how exactly you are going to do it
Due: 05/02/2017
Demo your project
In the end of semester, you will demo your project in-class
Each team has to make 5-min video to demo your project
The video should be uploaded to youtube
The project demo will be scored by me and also peer students
What the demo should look like?
https://www.kickstarter.com/projects/pitouch/pitouch-10-touchscreen-monitor-for-raspberry-pi-ma
Project evaluation
Mid-term
2 page, 11-pt-font, double-spaced report that describes/explain your project (10%)
Final
Project implementation and demo (25%)