Design Research 1

Course title

Y0250016

Design Research 1

Middle-level Diploma Policy (mDP)

Program / Major	mDP	Goals
Department of Design Engineering	A	A 幅広い教養を身につけ、多様性を理解し、世界的な視点から多面的に物事を考えることができる。
Department of Design Engineering	B	B 技術が社会や自然に及ぼす影響や効果、及び技術者の社会に対する貢献と責任を理解し、高い倫理観を持って持続可能な社会の実現に向けて行動できる。
Department of Design Engineering	C	C 数学、自然科学、及び情報技術の基礎を理解し、それらを応用できる。
Department of Design Engineering	D2	D2 目標に関連した情報を収集・分析した上で計画を立案し、適宜修正をしながら計画を遂行することができる。
Department of Design Engineering	E	E 情報技術に関する高度な専門知識やデジタル技術を含む他の専門分野の知識・技術を活用し、構想を具体化するとともに、実現に向けた取り組みを行うことができる。
Department of Design Engineering	F	F 必要な資料を作成し、それらを用いて関係する人々と円滑にコミュニケーションを図ることができる。

Purpose of class

To develop practical skills for effectively and swiftly executing the OODA loop in design development environments through assignments focused on data collection, analysis, and evaluation.

Course description

In today’s rapidly changing environment, in addition to the traditional PDCA (Plan-Do-Check-Act) cycle, there is an increasing need for OODA (Observe-Orient-Decide-Act) loops, which enable immediacy and responsiveness in decision-making. This approach is equally essential in the field of design development, where efficient and effective execution of the OODA loop requires enhanced research and analytical skills.

This course focuses on collecting quantitative, macro-level statistical data, analyzing it, and simultaneously conducting qualitative, micro-level research. By integrating these perspectives, students will engage in comprehensive analysis and evaluation.

Through this systematic process, students will cultivate multi-perspective analytical skills, enabling them to make well-informed decisions in dynamic and complex environments.

Goals and objectives

To be able to identify and locate appropriate statistical data based on the specific content to be researched.
To be able to process acquired data through statistical methods and convert it into analyzable data.
To be able to integrate aggregated data with qualitative observations and analyses, and conduct comprehensive evaluations and estimations of causal relationships.

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

	Reports	Data analysis	The last report	Total.
1.	30%			30%
2.		30%		30%
3.			40%	40%
Total.	30%	30%	40%	-

Evaluation method and criteria

Each assignment will be graded using the following scale: S=10 points, A=8 points, B=6 points, F=0 points.
Weighting will be applied to each assignment, and the final score will be calculated based on the percentage of points earned relative to the maximum possible score if all assignments received an S rating.
A passing grade requires a minimum score of 60% of the total possible points.
Note: The evaluation method may be revised as necessary based on circumstances. Any modifications will be explained during class.

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Introduction: To learn about the overall structure of the course and gain a fundamental understanding of societal systems and statistical data.	To analyze and thoughtfully complete the given assignments.	200minutes
2.	Estimation and Irrationality: To learn the necessity of estimation and the irrationality of human behavior through concepts such as Fermi estimation, the Prisoner’s Dilemma, Pareto optimality, and Prospect theory.	To analyze and thoughtfully complete the given assignments.	200minutes
3.	Correlation and Causation: To learn the fundamentals of analyzing and understanding causal relationships.	To analyze and thoughtfully complete the given assignments.	200minutes
4.	Data summarization and hypothesis generation: generating hypotheses based on data and critically evaluating their validity.	To analyze and thoughtfully complete the given assignments.	200minutes
5.	Research Practice (Macro Research): To conduct data collection and analysis on a specific theme to gain a comprehensive understanding of the situation.	To analyze and thoughtfully complete the given assignments.	200minutes
6.	Research Practice (Micro Research): To develop data collection methods for qualitative observation, building upon the previous lesson’s findings.	To analyze and thoughtfully complete the given assignments.	200minutes
7.	Comprehensive Analysis: To conduct an analysis based on collected and processed data and present the findings through a structured presentation.	To analyze and thoughtfully complete the given assignments.	200minutes
Total.	-	-	1400minutes