同济大学《城市设计分析技术（Urban Design Analytics）》研究生课程终期答辩

（AI translation below）

《城市设计分析技术（Urban Design Analytics）》研究生课程终期答辩将于2021年12月29日在同济大学文远楼215举行，届时国匠城将通过B站直播间进行直播，欢迎大家观看。

直播时间：12月29日（周三），18:00-21:00

直播地址：https://live.bilibili.com/21761494

长按或扫描二维码观看直播

会议详情如下：

2021年12月29号 18:00-21:00，《城市设计分析技术（Urban Design Analytics）》研究生课程终期答辩将于文远楼215举行。本课程为第2次开课，共有71名同济同学选课，多所境内外高校的同学们远程同步参与学习。

1. 课程简介

《城市设计分析技术（Urban Design Analytics）》研究生课程面向同济大学建筑与城市规划学院建筑、规划、景观三系的研究生开设，是目前国内高校率先聚焦城市设计领域新技术与新数据应用的实操性设计分析课程。力求通过17周的课程训练，让“零基础”的同学们一方面掌握系统的量化城市形态分析技术，另一方面掌握多源城市数据的获取技术，进而通过多个数字化城市设计案例的讲解，引导学生探索新技术和新数据在城市设计研究与实践中的运用可能。

2. 课程特色

（1）研究与教学紧密结合的内容设置: 内容兼具新颖性和实用性，是国内外新兴研究成果的教学转化。

（2）兼顾深度与广度的课程架构: 考虑到绝大多数设计背景的同学对此没有基础。针对这一情况，我们紧密围绕实践需求，精选关键性内容，开发了“零基础”起步的课程架构，通过一学期的课程保证核心分析技术的掌握。

（3）兼顾前沿视角与实操导向: 以前沿性研究与实践案例作为基础，但不是单纯的介绍与展示，而是关注各项技术的实际操作与应用方向。

3. 教学目标

（1）掌握分析技术: 掌握新城市科学背景下城市设计领域涌现的各类分析技术，包括空间句法、基础GIS、sDNA、UNA、基于Python的多源城市数据获取与整合方法。

（2）训练数据化思维: 更重要的是训练数据化思维，通过多轮次的案例讲解和小组合作，了解什么问题可以用什么数据和什么方法来开展分析，为城市设计实践提供科学化的分析支持。

4. 教学架构

第一部分：量化城市形态分析第一讲：概论 - 新城市科学支持下的城市分析第二讲：空间句法 - 理论、概念与操作第三讲：空间句法 – 应用场景第四讲：GIS平台认知与基础操作第五讲：城市设计导向的GIS分析第六讲：SDNA的基础理论、操作第七讲：UNA的基础理论、操作

第二部分：多源城市数据的获取与分析第八讲：零代码的多源城市数据获取途径第九讲：Python基础-环境配置、基础语法第十讲：Python基础-结构化网页数据获取第十一讲：建成环境和PoIs数据获取第十二讲：街景数据获取与Tensorflow平台下的要素提取

第三部分：新数据与新技术支持下的城市设计分析第十三讲：相关城市大数据公司讲座（本学期为城市象限茅明睿老师）第十四讲：新数据与新技术支持下的综合分析案例（1）第十五讲：新数据与新技术支持下的综合分析案例（2）第十六讲：新数据与新技术支持下的综合分析案例（3）第十七讲：终期答辩

5. 终期答辩评委

庄宇，同济大学建筑系城市更新与设计梯队责任教授；姚栋，同济大学建筑系副教授；

李晴，同济大学城市规划系副教授；

刘超，同济大学城市规划系助理教授；

陈筝，同济大学景观学系副教授

6. 课程主持教师

叶宇，同济大学建筑与城市规划学院副教授，教育部生态化城市设计国际合作联合实验室计算性城市设计中心主任，香港大学博士，瑞士苏黎世联邦理工学院博士后。荷兰注册城市设计师。中国建筑学会环境行为学术委员会委员、中国建筑学会计算性设计学术委员会委员、中国城市规划学会城市设计学委员青年委员、中国城市学科研究会城市大数据专委会委员。围绕计算性城市设计领域(computational urban design)开展了多学科交叉的系列研究，聚焦数据支持（data-informed）、具身循证(evidence-based)和算法驱动(algorithm-driven)三个细分方向开展体系化探索。本研究生课程则是叶宇老师在数据支持（data-informed）方向的多年研究积累的教学转化。

直播地址：https://live.bilibili.com/21761494

长按或扫描二维码观看直播

来源：国匠城

Presentation of the final postgraduate course of Urban Design Analytics in Tongji University

The final presentation of the postgraduate course "Urban Design Analytics" will be held in 215 Wenyuan Building of Tongji University on December 29, 2021. At that time, guojiang City will broadcast live through the direct broadcast room of Station B. Welcome to watch.

Live broadcast: Wednesday, December 29, 18:00-21:00

Broadcast link: https://live.bilibili.com/21761494

Scan the QR code to watch the live：

Details of the meeting are as follows:

The final presentation of the postgraduate course "Urban Design Analytics" will be held at 215 Wenyuan Building on December 29, 2021 from 18:00-21:00. This is the second time for this course. A total of 71 tongji students have selected the course, and students from many domestic and foreign universities have participated in the remote learning synchronously.

1. Course Introduction

Urban Design Analytics is the first practical Design analysis course focusing on the application of new technologies and new data in the field of Urban Design in domestic universities. It is open to postgraduates from the three departments of Architecture, Planning and Landscape architecture, College of Architecture and Urban Planning, Tongji University. By course of 17 weeks training, let the "zero base" of the students on the one hand, grasp the system to quantify urban form analysis technology, on the other hand grasp city multi-source data acquisition technology, and then through the interpretation of multiple digital urban design case, guides the student to explore new technology and new data in the research and practice of city design use.

2. Course features

（1）Content setting closely combining research and teaching: the content is both novel and practical, which is the teaching transformation of emerging research achievements at home and abroad。

（2） Course structure with both depth and breadth: Considering that most students with design background have no foundation for this. In view of this situation, we closely focus on the practical needs, select the key content, develop the "zero foundation" starting course structure, through the course of one semester to ensure the mastery of core analysis techniques.

（3） Give consideration to frontier perspective and practical operation orientation: based on frontier research and practical cases, not simply introduce and display, but pay attention to the practical operation and application direction of various technologies.

3. Teaching objectives

（1） Master analytical techniques: Master all kinds of analytical techniques emerging in the field of urban design under the background of new urban science, including space syntax, basic GIS, sDNA, UNA, Python based multi-source urban data acquisition and integration methods.

（2）Train data-oriented thinking: More importantly, train data-oriented thinking. Through multiple rounds of case explanation and group cooperation, understand what problems can be analyzed with what data and what methods, and provide scientific analysis support for urban design practice.

4. Teaching structure

Lecture 1: Quantitative Urban Form Analysis Lecture 1: Introduction - Urban Analysis supported by New Urban Science Lecture 2: Space Syntax - Theory, Concept and Operation Lecture 3: Space Syntax - Application Scenarios Lecture 4: GIS Platform Cognition and Basic Operation Lecture 5: Urban Design-oriented GIS Analysis Lecture 6: SDNA basic theory and operation Lecture 7: UNA basic theory and operation

Lecture 9: Python Basics - Environment Configuration, Basic Syntax Lecture 10: Python Basics - Structured Web Data Acquisition Lecture 11: Built Environment and PoIs Data Acquisition Lecture 12: Python Basics - Structured Web Data Acquisition Street View data acquisition and element extraction under Tensorflow platform

The third part: the design of the city under the new data and new technical support analysis basic: ten lectures related city big data company (for city quadrant MaoMingRui teacher this semester) : 14 new data and comprehensive analysis of the case under the new technical support (1) the tenth five lectures: new data and comprehensive analysis of the case under the new technical support (2) : 16 Case Study of Comprehensive Analysis supported by New Data and new technology (3) Lecture 17: Final Defense

5. Final defense judges

Zhuang Yu, Professor of Urban Renewal and Echelon Design, Department of Architecture, Tongji University; Dong Yao, Associate Professor, Department of Architecture, Tongji University;

Li Qing, Associate professor of Urban Planning, Tongji University;

Liu Chao, assistant professor, Department of Urban Planning, Tongji University;

Chen Zheng, Associate Professor, Department of Landscape Architecture, Tongji University

6. Course host teacher

Ye Yu, Associate Professor, School of Architecture and Urban Planning, Tongji University, Director of Computational Urban Design Center, Joint Laboratory for International Cooperation on Eco-Urban Design, Ministry of Education, PhD, University of Hong Kong, postdoctoral fellow, Eth Zurich, Switzerland. Dutch registered urban designer. He is a member of environmental Behavior Academic Committee of Architectural Society of China, Computational Design Academic Committee of Architectural Society of China, Young Member of Urban Design Committee of Urban Planning Society of China, and Urban Big Data Special Committee of China Urban Studies Society. The computational Urban Design field includes a series of interdisciplinary studies, We focused on data-informed, Evidence -based and algorithm-driven, and conducted systematic exploration. This postgraduate course is the transformation of Professor Ye Yu's years of research in data-informed.

2026/06/08

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