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- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Architecture and Building Engineering
- Instructor(s)
- Fujii Haruyuki Oki Takuya
- Class Format
- Lecture (Livestream)
- Media-enhanced courses
- Day/Period(Room No.)
- Fri1-4(S321)
- Group
- -
- Course number
- ARC.P301
- Credits
- 2
- Academic year
- 2022
- Offered quarter
- 1Q
- Syllabus updated
- 2022/3/28
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
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 level.
Student learning outcomes
To acquire basic skills for architecture, urban, and community planning.
Keywords
Environmental Psychology, Mathematical Planning, Urban Planning, Community Design
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Lecture.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| 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 |
Out-of-Class Study Time (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
Assessment criteria and methods
Report and 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 (i.e., required knowledge, skills, courses, etc.)
Theories in Architectural Planning, Architectural Planning I
