2024 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)
- Haruyuki Fujii / 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
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
Introduction to the methodologies of architectural and urban planning and designing.
Details of the methodologies will be discussed in the related classes in the 400th and 500th levels.
Course description and aims
To acquire basic skills for architecture, urban, and community planning.
Keywords
Environmental Psychology, Mathematical Planning, Urban Planning, Community Design, 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 a research plan for architecture and urban planning. The contents of the class may be changed according to the progress of the assignment.
The final exam will include questions that apply to the contents and issues covered in class.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | ||
| Class 2 | ||
| Class 3 | Correlation and causal relationship in building and city 1 | Correlation analysis, (multiple) regression analysis, quantification theory type I, regression models using machine learning |
| Class 4 | Correlation and causal relationship in building and city 2 | Applications: Population movement factor analysis, land price formation factors, etc. |
| Class 5 | Extraction and summarization of potential structures in building and city 1 | Factor analysis and principal component analysis |
| Class 6 | Extraction and summarization of potential structures in building and city 2 | Applications: landscape evaluation, image structure analysis, creation of comprehensive urban indicators, etc. |
| Class 7 | Classification method in building and city | Cluster analysis (regional classification, etc.), discriminant analysis, discriminant models using machine learning |
| Class 8 | Visualization method of similarity | Various similarity measures, multidimensional scale construction methods, self-organizing maps |
| Class 9 | ||
| Class 10 | ||
| Class 11 | Human behavior model and simulation 1 | Basics of human behavior model and simulation |
| Class 12 | Human behavior model and simulation 2 | - Complexity simulation and its application - Utilization of AI, IoT, and big data |
| Class 13 | ||
| Class 14 |
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