Japanese

Academic Year	2025Year	School/Graduate School	School of Education
Lecture Code	CC236906	Subject Classification	Specialized Education
Subject Name	モデリングとシミュレーション
Subject Name （Katakana）	モデリングトシミュレーション
Subject Name in English	Modeling and Simulation
Instructor	TANAKA HIDEYUKI
Instructor (Katakana)	タナカ　ヒデユキ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year,  Second Semester,  4Term
Days, Periods, and Classrooms	(4T) Weds1-4：EDU C310
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face
			Mainly lectures with practical exercises and tasks
Credits	2.0	Class Hours/Week	4	Language of Instruction	J : Japanese
Course Level	3 : Undergraduate High-Intermediate
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	08 : Curriculum and Instruction Sciences
Eligible Students	Basically students from other faculties are not allowed.
Keywords	Modeling, Simulation, Problem solving, Visualization
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Secondary School Technology and Information Education （Knowledge and Understanding） ・Having knowledge on hardware including information representation. （Abilities and Skills） ・Being able to design, develop and evaluate the hardware (circuit) by making use of knowledge on hardware.
Class Objectives /Class Outline	In this class, in relations to information as a high school subject, students will learn modeling and simulation. By taking up various kinds of problems, students will have deep knowledge on modeling and problem solving by simulation through lectures and practices.
Class Schedule	Lesson 1: Guidance Lesson 2: Programming with Scilab Lesson 3: Uniform Distribution, Normal Distribution, and the Central Limit Theorem Lesson 4: Simulation Using Random Numbers Lesson 5: Learning through Simulation Lesson 6: Simulation using Matrices and Vectors Lesson 7: Learning through Simulation: Handling Large Data Lesson 8: Modeling with the Least Squares Method Lesson 9: Linear Programming Lesson 10: Linear Matrix Inequalities Lesson 11: Optimization Lesson 12: Support Vector Machines Lesson 13: Dynamic Systems (White-box Modeling) Lesson 14: Deterministic and Probabilistic Models, and Statistical Modeling Lesson 15: Summary Reports and exams.
Text/Reference Books,etc.	Handouts.
PC or AV used in Class,etc.	Handouts, Microsoft Teams, moodle
	(More Details)	Students will use their laptop computers.
Learning techniques to be incorporated	Discussions, Role Play, Post-class Report
Suggestions on Preparation and Review	Lesson 1: Review the Importance of Modeling and Simulation. Lesson 2: Try Programming with Scilab Lesson 3: Deepen Your Understanding of Uniform Distribution and Normal Distribution Lesson 4: Review Monte Carlo Simulation Lesson 5: Experience Learning through Simulation Lesson 6: Experience Learning through Simulation Lesson 7: Experience Learning through Simulation Lesson 8: Deepen Your Understanding of the Least Squares Method Lesson 9: Experience Optimization through Simulation Lesson 10: Experience Optimization through Simulation Lesson 11: Deepen Your Understanding of Scatter Plots and Correlation Analysis Lesson 12: Experience Support Vector Machines through Simulation Lesson 13: Deepen Your Understanding of White-box Modeling Lesson 14: Deepen Your Understanding of Black-box Modeling Lesson 15: Review the Overall Flow of the Course
Requirements
Grading Method	Comprehensive evaluation from activities in a class, reports and examination.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.