Systems Engineering B

Course title

31002100

Middle-level Diploma Policy (mDP)

Program / Major	mDP	Goals
IoT Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
IoT Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
IoT Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
IoT Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Software Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
Software Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
Software Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
Software Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Media Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
Media Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
Media Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
Media Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Data Science Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
Data Science Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
Data Science Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
Data Science Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Mechatronics Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
Mechatronics Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
Mechatronics Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
Mechatronics Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Architecture and Architectural Engineering Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）
Architecture and Architectural Engineering Course	DP-2・3	目標を達成するために、関係する人々と相互の知識や技術を関連付け合いながら、一人ひとりが最大の力を発揮するチームを形成し活動できる。（協働力）
Architecture and Architectural Engineering Course	DP-2・4・1	社会の具体的な課題に向き合い、学際的なチームによる活動を通じて、自信創出力を身につける。
Architecture and Architectural Engineering Course	DP-3・1	技術文書の作成、口頭発表、討論等のコミュニケーションができる。
Environmental Systems and Urban Planning Course	DP-2・2	システム思考を用いて、包括的な解決策を導き出すことができる。（システム工学）

Purpose of class

In Systems Engineering B, students learn methodologies and techniques for planning and analysis to propose comprehensive solutions. Through exercises within the lectures, students get specific business challenges, launch projects, and develop problem-solving skills using mathematical programming.

Course description

This course teaches systematic planning and analytical methods, along with their tools, to propose comprehensive solutions for modern societal problems that cannot be solved by knowledge from a single specialized field alone. Specifically, through lectures and exercises, students learn mathematical programming (linear programming, scheduling, queuing), decision-making methods, probabilistic simulation, and V&V for quality assurance.Similar to Systems Engineering A, students from mixed courses and programs will form project teams using business topics and engage in exercises aimed at business implementation. The goal of these lectures and exercises is to acquire the ability to perform quantitative decision-making for planning, decision-making, analysis, and optimization.

Goals and objectives

Understand quantitative methods in system planning and design
Understand quantitative decision-making methods and Monte Carlo simulations, and can apply to solve business problems
Understand scheduling methods and can apply to actual schedule creation
Ability to communicate with people from diverse fields and collaborate effectively in teams
Ability to deliver appropriate reports and presentations in writing and orally

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

	Project Proposal	Lecture assignments	Total.
1.	15%	15%	30%
2.	15%	15%	30%
3.	10%	10%	20%
4.	10%		10%
5.	10%		10%
Total.	60%	40%	-

Evaluation method and criteria

Project Proposal (including proposal, contribution, and final presentation) 60%, Lecture Assignments 40%. A total score of 60 points or higher (equivalent to 60 points out of 100) on the learning/educational objectives (mid-level) is required to pass.

Language

Japanese(English accepted)

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Course Orientation ・Orientation and Introduction to Decision-Making Methods (Introduction to AHP Methods) Project Guidance ・Selection of Assigned Services, Discussion of Store Opening Objectives	Confirming the Syllabus	20minutes
		Read the text book and complete the post lecture assignment	60minutes
		Consideration of store opening objectives	120minutes
2.	Goal Setting and Alternative Planning ・AHP method and Its Sensitivity Analysis ・Determining Store Opening Objectives and Goals. Developing Alternative Sales Plans Learning Portfolio Entry (Pre-exercise: Entry begins after the day)	Read text book and complete pre- and post-lecture assignments	120minutes
		Summarize outcomes through project activities	120minutes
		Learning Portfolio Input	10minutes
3.	Sales Planning and Scheduling ・Creating evaluation criteria and hierarchical diagrams for sales plan determination ・Creation of the WBS	Read text book and complete pre- and post-lecture assignments	120minutes
3.		Submit the first report	150minutes
4.	Sales Planning and Scheduling ・Determining Sales Plans Using Decision-Making Methods ・Scheduling (Network Diagram)	Read text book and complete pre- and post-lecture assignments	120minutes
4.		Summarize outcomes through project activities	120minutes
5.	Preparation and Schedule to the Day of the Event ・Scheduling (Critical Path Method)	Read text book and complete pre- and post-lecture assignments	120minutes
5.		Summarize outcomes through project activities	120minutes
6.	Preparation and Schedule to the Day of the Event ・Scheduling by PDM	Read text book and complete pre- and post-lecture assignments	120minutes
6.		Summarize outcomes through project activities	120minutes
7.	Preparation and Schedule to the Day of the Event ・Scheduling by ADM	Read text book and complete pre- and post-lecture assignments	120minutes
7.		Submit the 2nd report	150minutes
8.	Revenue and Sales System Simulation Work related to project feasibility	Read text book and complete pre- and post-lecture assignments	120minutes
8.		Summarize outcomes through project activities	120minutes
9.	Revenue and Sales System Simulation ・Gathering information for simulation ・Work related to profit simulation	Read text book and complete pre- and post-lecture assignments	120minutes
9.		Summarize outcomes through project activities	120minutes
10.	Revenue and Sales System Simulation ・Work related to queue simulation	Read text book and complete pre- and post-lecture assignments	120minutes
10.		Summarize outcomes through project activities	120minutes
11.	Revenue and Sales System Simulation ・Queueing Theory Calculations ・Measure queues at similar stores to validate simulation accuracy	Read text book and complete pre- and post-lecture assignments	120minutes
11.		Submit the 3rd report	150minutes
12.	Preparing for the Project Presentation ・Creating a resume for the store opening project ・Creating a PowerPoint presentation for the store opening project	Read text book and complete pre- and post-lecture assignments	120minutes
12.		Create and submit the confirmed version of the resume and thre proposal slides	120minutes
13.	Special Lecture ・Alumni Presentation Preparation for Project Presentation ・Final Project Presentation. Group Presentation Preparation (PowerPoint)	Creating special lecture reflection report	60minutes
		Updating and final submission of resume and project slides	120minutes
		Performing presentation practice	60minutes
14.	Project Presentation ・Group Presentation Sessions (in each classroom) Learning Portfolio Input (After the session: Input begins after the presentation session)	Final confirmation of project presentations	60minutes
		Summary of project presentation evaluation	30minutes
		Learning Portfolio Input	10minutes
Total.	-	-	3280minutes

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback outside of the class (ScombZ, mail, etc.)

Textbooks and reference materials

Textbook
(1) Masahiro Inoue, Xinkai Chen, Hiroshi Hasegawa, Systems Engineering: Quantitative Decision-Making Methods, Ohmsha, 2013
(2) Masahiro Inoue, Xinkai Chen, Hiroshi Hasegawa, Systems Engineering: Method to find and Solve problems, Ohmsha, 2011

Prerequisites

Purchase the textbooks. Since lectures are divided into five classes and held during the same period, attend the class you are assigned to.

Office hours and How to contact professors for questions

Friday, 12:30-13:10

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 interpersonal skills
Course that cultivates a basic self-management skills
Course that cultivates a basic problem-solving skills

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	Textbooks developed based on research and development experience in industry are used. Projects incorporate comments and evaluations grounded in practical experience and industry needs from the corporate sector.

Education related SDGs:the Sustainable Development Goals