トップページへ

2025 (Current Year) Faculty Courses School of Environment and Society Undergraduate major in Architecture and Building Engineering

Architectural Planning II

Academic unit or major
Undergraduate major in Architecture and Building Engineering
Instructor(s)
Takuya Oki
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
1-4 Fri
Class
-
Course Code
ARC.P301
Number of credits
200
Course offered
2025
Offered quarter
1Q
Syllabus updated
Mar 31, 2025
Language
Japanese

Syllabus

Course overview and goals

This course will provide an overview of the main research and analysis methods used in architectural, urban, and regional planning, with experiments and exercises.

Course description and aims

Based on architectural planning, students will study from the perspectives of (1) environmental psychology, (2) planning mathematics, (3) urban planning, and (4) regional and town planning, and acquire the ability to practically apply and research architectural planning and urban and regional planning using mathematical logic.

Keywords

Environmental psychology, Planning mathematics, Urban planning, Regional planning, PBL (Problem-based Learning)

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

Problem-based learning (PBL) will be conducted, in which students will be assigned research and analysis for architecture and urban planning.
The final exam will include questions about the contents and issues covered in class.

Course schedule/Objectives

Course schedule Objectives
Class 1 Various data and research and analysis methods Introduction
Class 2 Correlation Analysis and Regression Analysis Correlation and regression, multiple regression analysis (including hedonic analysis)
Class 3 Understanding Image Structure 1 Experiment using the SD method and the paired comparison method
Class 4 Understanding Image Structure 2 Processing experimental data using factor analysis
Class 5 Understanding Image Structure 3 Experiment using the evaluation grid method
Class 6 Understanding Image Structure 4 Creating a hierarchical structure (evaluation grid)
Class 7 Understanding Spatial Structure 1 Introduction of space syntax, Convex Space
Class 8 Understanding Spatial Structure 2 Axial Line,Isovist,Visibility Graph
Class 9 Acquiring knowledge through categorization 1 Classification by clustering, principal component analysis
Class 10 Acquiring knowledge through categorization 2 Multidimensional Scaling, Self-organizing Maps
Class 11 Human Behavior Model 1 Experience and measure crowd flow
Class 12 Human Behavior Model 2 Fundamentals and Verification of Human Behavior Models
Class 13 Simulation of Human Behavior 1 Fundamentals of Simulation and Complex Systems
Class 14 Simulation of Human Behavior 2 Complex Systems Simulation and Its Applications

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

Handouts.

Reference books, course materials, etc.

TBA

Evaluation methods and criteria

Evaluation will be based on a combination of assignments handled in each class and a final exam.

Related courses

  • ARC.P201 : Introduction to Architectural Planning
  • ARC.P202 : Architectural Planning I
  • ARC.P203 : Exercise in Architectural Planning
  • ARC.A202 : Architectural Design and Drawing II
  • ARC.A301 : Architectural Design and Drawing III
  • ARC.A304 : Architectural Design and Drawing IV
  • ARC.P441 : Theories in Urban Analysis and Planning I
  • ARC.P401 : Theories in Architectural Planning II
  • ESD.C401 : Design Theories
  • ESD.F501 : Practical Theories in Man Environment System Design

Prerequisites

Theories in Architectural Planning, Architectural Planning I