Course title
G00390001
International Internship on Electronic Engineering 4

 PREMACHANDRA CHINTHAKA
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals Courses
Fundamental Mechanical Engineering F 産業界や社会の要請を把握して解決するべき課題を設定し、さまざまな工学分野の知識を関連付けながら設計生産技術を活用することで、立案した構想に従って研究を進め課題を解決することができる。 Sub
Advanced Mechanical Engineering F 産業界や社会の要請を把握して解決するべき課題を設定し、機械工学の学理を応用して異分野を含む融合分野で革新的な機能を創成することができる。 Sub
Environment and Materials Engineering B 地球環境や地域社会との調和を見据えて、さまざまな工学分野に関わる問題を解決することができる。 Sub
Chemistry and Biotechnology B 地球環境や地域社会との調和を見据えて、さまざまな工学分野に関わる問題を解決することができる。 Sub
Electrical Engineering and Robotics D 電気工学や関連する工学の技術分野を課題に適用し、社会の要求を解決するために応用することができる。 Sub
Advanced Electronic Engineering E 専門的デザイン課題について解決する能力を身に付けることができる。 Main
Advanced Electronic Engineering H グループの一員として行動し、専門的課題を解決する能力を身に付けることができる。 Main
Computer Science and Engineering G 技術的課題に対してさまざまな工学分野の知識を関連付けながら主体的に取り組み、継続的に学修する能力を身に付けることができる。 Sub
Urban Infrastructure and Environment G ⼟⽊⼯学における現実の問題について、⼯学・専⾨基礎知識を⽤いて理解・解決することができる。 Sub
Purpose of class
This course is to provide knowledge and experience for students to design and tacle a technical problem at an international background.
Course description
International Internship on Electronic Engineering 4 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.
Goals and objectives
  1. Provide basics of microcontrollers, 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
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%
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. Presentations of group based achievements
Evaluation of progress 		English language/ Presentations 200minutes
Total. - - 4200minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
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 12.40-13.40 @ Toyosu Campus Room, 10J30
    Mail to: chintaka@sic.shibaura-it.ac.jp
    【According to the discussing contents, Zoom meeting is also OK. In this case, professor will arrange the Zoom link】
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Mar 14 13:29:40 JST 2026