Course title
G09148701
International Internship on Electronic Engineering 5

 premachandra chinthaka
Course description
International Internship on Electronic Engineering 5 is a global project based learning course which is conducted colaborating with an aboard University.
This course provides knowledge regarding usage of microcontrollers and small type computer for designing a robotic systems.
Purpose of class
This course is to provide knowledge and experience for students to design and tacle a technical problem at an international background.
Goals and objectives
  1. Provide basics of microcontrollers and Raspberry pi computer and Arduino
  2. Provide basic image processing knowledge and usage of image processing libraries
  3. Desinging robotics systems using Raspberry pi computer, Arduino, different sensors, and cameras
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction of Raspberry pi computer
Circuit cotrol by Raspberry pi computer 1
・Controlling LED cicuits 		Python language/ basic electronic circuit knowlwdge 250minutes
2. Circuit cotrol by Raspberry pi computer 2
　・Controlling LED cicuits 		Python language/ basic electronic circuit knowlwdge 250minutes
3. Intriduction of Arduino hardware
Sensor signal control by Arduino 1
　・Analysis of UW sensor signals 		C language 250minutes
4. Sensor signal control by Arduino 2
・Analysis of light, heat, and touch sensor signals 		C language 250minutes
5. Image processing 1
　・Explanation of Image structure
　・Gray scaling
　・Binarization 		C language 250minutes
6. Image processing 2
　・Edge detection
　・Line detection
　・Desired object detection 		C language 250minutes
7. Explanation of open CV
　・Installing and setting open CV
　・Implementation of open CV functions using different computer languages
Install and open CV to Raspberry pi computer 		C language/ Python 250minutes
8. Usage of Raspberry pi camera
　・Processing images from Raspberry pi camera using Raspberry pi 		C language/ Python 250minutes
9. Sytem design using Raspberry pi camera
・Implementing a system to control LEDs according to object detection by Raspberry pi camera 		C language/ Python/ electronic circuit 250minutes
10. Proposing a project by grouped students which can mainly be implemented using the Raspberry pi computer or Arduino.
(All participating students are grouped with few students. Each group includes students at least from two countries) 		C language/ Python/ electronic circuit 250minutes
11. Conducting group based project C language/ Python/ electronic circuit 500minutes
12. Conducting group based project C language/ Python/ electronic circuit 500minutes
13. Conducting group based project C language/ Python/ electronic circuit 500minutes
14. Conducting group based project
Presentations of group based achievements
Evaluation of progress 		English language/ Presentations 200minutes
Total. - - 4200minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Evaluation of progress Total.
1. 20% 20%
2. 20% 20%
3. 60% 60%
Total. 100% -
Evaluation method and criteria
Evaluation is condcuted by professors from host and guset Universities. Progress of the group projects are evaluated.
Pass mark 60%
Textbooks and reference materials
OpenCV with Python Blueprints: Design and Develop Advanced Computer Vision Projects Using Opencv With Python
Michael Beyeler, Packt Publishing (2015/10/19)
Prerequisites
Python language, C language, Basic electronic and electrical corcuit.
Office hours and How to contact professors for questions
  • Office hour: Friday 12.30-13.40 @ Toyosu Campus, room 10J30
    Mail to: chintaka@sic.shibaura-it.ac.jp
Relation to the environment
Non-environment-related course
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
N/A N/A
Last modified : Thu Mar 21 16:01:41 JST 2019