Recent Trends on Social Simulation

Course title

33007100

Middle-level Diploma Policy (mDP)

Program / Major	mDP	Goals
IoT Course	DP-4a・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Software Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Media Course	DP-4c・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Data Science Course	DP-4d・2	キャリアを見据えた高度な専門知識多様なデータを収集・分析・予測する技術を駆使し、社会に存在する実際の課題に対してエビデンスを基に解決法を考え提案できる。
Mechatronics Course	DP-4・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Architecture and Architectural Engineering Course	DP-4a・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Environmental Systems and Urban Planning Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Bioscience Course	DP-4a・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Biomedical Engineering Course	DP-4b・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Sports Engineering Course	DP-4c・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。
Mathematical Sciences Course	DP-4・3	専門分野と他分野を関連付ける素養主軸となる分野の専門知識を他分野と関連付ける分野横断型の知識と行動力を修得し、社会で活用できる。

Purpose of class

The primary objective of this course is for students to acquire the fundamentals of social simulation and to understand its diverse applications in fields such as information engineering, policy science, urban planning, and management and economics.
Specifically, the course aims to cultivate the ability to anticipate and forecast solutions to complex social issues through simulation, fostering the essential skills required of a social data scientist.
Throughout the course, students will examine practical methodologies for utilizing simulation by learning from expert case studies across various domains. Furthermore, students will develop a cross-disciplinary perspective by independently researching and analyzing additional cases, thereby deepening their insights into the integration of data and social design.

Course description

This course provides an in-depth understanding of the fundamental concepts of social simulation and explores its diverse applications across various domains, including information engineering, policy science, urban planning, and management and economics.
Adopting an omnibus format, the course features lectures by experts from multiple disciplines who will introduce the practical use, challenges, and future prospects of simulation within their respective fields. In addition to attending lectures, students will deepen their insights by independently researching and analyzing multiple case studies in each area, fostering a comprehensive understanding of how simulation is applied in real-world contexts.

Goals and objectives

Explain case studies of social simulation applications across multiple social science domains.
Investigate and analyze the background, methodology, and results of existing social simulation cases within society.
Design and propose a process for solving social challenges by applying social simulation techniques.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Pre/Post-class Tasks	Total.
1.	40%	40%
2.	30%	30%
3.	30%	30%
Total.	100%	-

Evaluation method and criteria

The final grade is calculated based on the combined scores of 14 assignments (one for each session, including preparation and review tasks), totaling 100 points. The comprehensive evaluation is determined by the average score across all submitted reports.

Passing Grade: A minimum score of 60 points is required to pass the course.

Grading Standards:
60 Points (Minimum Passing Level): The student demonstrates a basic understanding of the core content from each session and is able to explain the specific points instructed in the assignments.

Language

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Case Studies: Applications of Social Simulation in Information Area (Goto)	Syllabus review	30minutes
1.		Pre/Post-class Tasks	120minutes
2.	Case Studies: Applications of Social Simulation in Economics (Koyama)	Pre/Post-class Tasks	120minutes
3.	Case Studies: Applications of Social Simulation in Management (Goto)	Pre/Post-class Tasks	120minutes
4.	Case Studies: Applications of Social Simulation in Health, Labor, and Welfare (Ichikawa)	Pre/Post-class Tasks	120minutes
5.	Case Studies: Applications of Social Simulation in Urban Planning (Goto)	Pre/Post-class Tasks	120minutes
6.	Case Studies: Applications of Social Simulation in Public Policy and Administration (Goto)	Pre/Post-class Tasks	120minutes
7.	Case Studies: Applications of Social Simulation in Policy Science (Harada)	Pre/Post-class Tasks	120minutes
Total.	-	-	870minutes

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in/outside the class.

Textbooks and reference materials

Textbook: No specific textbook is required. Handouts will be distributed via LMS.

Prerequisites

Office hours and How to contact professors for questions

Inquiries and consultations are accepted at any time via the dedicated Microsoft Teams environment for this 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 problem-solving skills

Active-learning course

About half of the classes are interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
Applicable	Leveraging the instructor's professional experience in health, labor, and welfare research, this course focuses on content that is directly applicable to real-world challenges. Students will examine how simulation methodologies are utilized to address complex social issues and support evidence-based policy-making (EBPM) within the public and private sectors.

Education related SDGs:the Sustainable Development Goals

4.QUALITY EDUCATION
8.DECENT WORK AND ECONOMIC GROWTH
9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Thu Mar 26 04:04:11 JST 2026