Course title
M20320002
Computational Tools for Simulation and Visualization

 RAJAGOPALAN UMAMAHESWARI

SHAHROL BIN MOHAMADDAN
Course description
This course introduces MATLAB software and its application for simulation and visualization. MATLAB (an abbreviation of "MATrix LABoratory”) is a programming and numerical computing platform that can be used to analyze data, develop algorithms, and create models. The course introduces the basics of MATLAB, data visualisation, and programming. The students will also be introduced to solving algebraic equations, fitting and numerical differentiation and integration and statistical and optimisation problems. GUI(Graphical User interface), and toolboxes such as image processing and symbolic toolboxes will be introduced. Hardware control, a foundational skill for today’s engineering students by Simulink and MATLAB, will also be introduced. The class will be a flipped classroom, with students coming to the classroom with the handout and working out the problems in the class, thus testing the skills.
Purpose of class
This course aims to provide students with programming skills in MATLAB and its application in hardware control SIMULINK. Students will learn the basics such as scripts, functions, programming flow control, data visualization, linear equations, differentiation and integration. Students will also learn image processing and symbolic toolboxes and solve problems in class. The students will use their own PC in the room to learn the programming in MATLB through actually solving and obtaining skills. By the end of the course, students are expected to make programs for real-world problems confidently.
Goals and objectives

 Goals and objectives Course Outcomes
1. Student should be able to construct engineering programming
A-1
2. Student should be able to apply the programming code to solve the mathematical problems
3. Students should be able to apply the programming code to solve science and engineering related problems
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Uma Shahrol Total.
1. 10% 10% 20%
2. 20% 20% 40%
3. 20% 20% 40%
Total. 50% 50% -
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction
Scripts
Variables
Basic plots 		Review the lecture 100分
HW assignment 200分
2. Visualization and Programming
Functions
Flow control
Line plots 		Review the lecture 100分
HW assignment 200分
3. Visualization and Programming
Functions
Flow control
Line plots 		Review the lecture 100分
HW assignment 200分
4. Solving Equations, Curve Fitting and Numerical Technique
Linear algebra
Polynomial 		Review the lecture 100分
HW assignment 200分
5. Solving Equations, Curve Fitting and Numerical Technique
Optimization
Differential / Integration 		Review the lecture 100分
HW assignment 200分
6. Advanced Method
Probability and statistics
Data structures 		Review the lecture 100分
HW assignment 200分
7. Project Presentation Presentation 100分
HW assignment 200分
8. Advanced Method
Images
File I/O 		Review the lecture 100分
HW assignment 200分
9. Various Functions and Toolboxes
Documentation
Misc. useful functions
Graphical user interfaces 		Review the lecture 100分
HW assignment 200分
10. Various Functions and Toolboxes
Symbolic toolbox
Image processing 		Review the lecture 100分
HW assignment 200分
11. Various Functions and Toolboxes
Image processing
Hardware interface 		Review the lecture 100分
HW assignment 200分
12. Introduction to Simulink
Interface
Model
Block 		Review the lecture 100分
HW assignment 200分
13. Introduction to Simulink
Selected case study using Simulink 		Review the lecture 100分
HW assignment 200分
14. Project Presentation Presentation 100分
HW assignment 200分
Total. - - 4200分
Goals and objectives (Other Courses)
A:Fundamental Mechanical Engineering B:Advanced Mechanical Engineering C:Environment and Materials Engineering D:Chemistry and Biotechnology E:Electrical Engineering and Robotics G:Advanced Electronic Engineering F:Information and Communications Engineering L:Computer Science and Engineering H:Urban Infrastructure and Environment
Language
English
Evaluation method and criteria
Each Professor score will be weight as 50%.
The score will include the student attendance, gaining skill, and thinking ability while solving a problem.

A minimum of 60% is required to pass the course.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Hand-outs will be provided prior to each class to review the class material before coming to class.
Prerequisites
Basic knowledge of physics and mathematics at the high school level. Students are required to bring their own PC to the classroom.
Office hours and How to contact professors for questions
  • Contact through email to make appointments:
    Dr. Umamaheswari: uma@shibaura-it.ac.jp
    Dr. Shahrol Mohamaddan: mshahrol@shibaura-it.ac.jp
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • 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
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Tue Mar 11 04:10:58 JST 2025