Course title
N07402003
Practical Simulation Engineering

 watanabe nobuo Click to show questionnaire result at 2018

satou hiroki

takagi motoki
Course description
In first half period in this lecture, against many kinds of numerical data in medical Engineering field, students will study fundamental programing skills to apply such numerical science and mathematics. And second half period in this lecture covers technical knowledge and Input and Output (I/O) signal controlling technology which is necessary for research and developmental process in medical or welfare device developments. As the programming software, MATLAB and Python will be used in this study, and students study from its fundamental aspects. And then, students will study image analysis skill, and signal processing of bio-signals, robotics controlling simulation, and I/O controlling practice.
Purpose of class
Students should acquire the special skill for image analysis, signal processing through biological measurement. In addition, students should study robotics technological fundamentals through I/O controlling practice.
Goals and objectives
  1. Students should become able to make simple programming, image processing such as gray scale and binary image using MATLAB.
  2. Students should become able to make visualization such as time-series numerical data, and many kinds of graphs using MATLAB.
  3. Students should become able to analyze electric biosignals.
  4. Students should become able to make simple robotics simulation using Python.
  5. Students should become able to make simple I/O controlling program using Phython and Arduino.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. General guidance to attend this practical lecture.
Simple programming using MATLAB. 		Study MATLAB commands. 200minutes
2. Making many kinds of graphs and data visualization using MATALAB. Study how to make graphs. 200minutes
3. Image analysis using MATLAB, such as binarization from color image or gray scale image. For Image analysis, you should study on color image, gray scale image, and binary image. 200minutes
4. Morphological image analysis such as shape and its area's evaluation Students should study how to perform Morphological analysis. 200minutes
5. Labelling, and movie analysis Time series image analysis and labelling can be studied after this practical lecture. 300minutes
6. Bio-signal processing using MATLAB1 Review what you have studied in your lecture. 200minutes
7. Bio-signal processing using MATLAB2 Review what you have studied in your lecture. 200minutes
8. Bio-signal processing using MATLAB3 Review what you have studied in your lecture. 200minutes
9. Bio-signal processing using MATLAB4 Review what you have studied in your lecture. 200minutes
10. Fundamental information on Python programming1 Study on Python. 200minutes
11. Fundamental information on Python programming2 Review what you have studied in your lecture. 200minutes
12. Fundamental information on Python programming3 Review what you have studied in your lecture. 200minutes
13. Fundamental information on Python programming4 Review what you have studied in your lecture. 200minutes
14. Fundamental information on Python programming5 Review what you have studied in your lecture. 200minutes
Total. - - 2900minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Ability to make simple programming, image processing. Ability to visualize time-series numerical data, and graphs. Students should become able to analyze electric biosignals. Ability to make simple robotics simulation using Python. simple I/O controlling program using Phython and Arduino Total.
1. 5% 5% 5% 5% 5% 25%
2. 5% 5% 5% 5% 5% 25%
3. 5% 5% 5% 5% 5% 25%
4. 5% 5% 5% 5% 5% 25%
5. 0%
Total. 20% 20% 20% 20% 20% -
Evaluation method and criteria
Students should be evaluated with presented assignments at each class. Criteria should be 60% against summarized scores of all assignments.
Textbooks and reference materials
小野弓絵「MATLABで学ぶ生体信号処理」コロナ社
Prerequisites
Any students who are interested in MATLAB and Python software and data visualization, fundamental in programming, and controlling technology.
Beforehand to this class, attending students should install Matlab （Image processing tool box, Signal Processing tool box, Statistics and Machine Learning tool box).
Office hours and How to contact professors for questions
  • Lecturers recommend students to ask to lecturers during lecture time or right after the class within 30 min.
  • Anytime you can email to lectures for appointment for discussion if you need additional questions.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic interpersonal 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
Applicable One lecturer has experience to work in industrial company.
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 5.GENDER EQUALITY
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sun Mar 21 15:11:39 JST 2021