Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2019 258986 Design Thinking with Data Science 1 3.0 3 ★ Sheng Ming Wang GIMD 13 1 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2019	258986	Design Thinking with Data Science	1	3.0	3	★	Sheng Ming Wang	GIMD	13	1

Course Plan：

Instructor Sheng Ming Wang

Email ryan5885@gmail.com

Last Updated 2019-02-15 14:32:51

Course Objective As the user-center design is becoming the core of most interaction design (IxD), it has become a popular belief that it is no longer the product that leads but users and user preferences that's leading the game. This is where design thinking steps in, where IxD uses their sensibility and methods to match users' need in a way that is technologically feasible and viable enough to generate user value and tap market opportunity. Suggested by some studies, brought in vogue by the popular design firm IDEO, design thinking when combined with decision science results in an infusion of empathy with engineering. This not only ensures a practical and creative resolution of problems but also puts the user at the center of applications and at the starting point to develop new designs and solutions. Meanwhile, ensuring design in analytics projects from the initial stages can lead to the right blend of sensibility, technical feasibility, business viability, and consumer needs. The idea is, design thinking puts user and their needs as the starting point of developing new product and solution and ask questions like for whom are we designing, what is the problem user is experiencing, how to improve the performance and achieve scalability, among others. Data scientist and analyst can make up for great professionals in design thinking, given the right set of tools that is at their disposal. Thus, the main objectives of this course provide: 1. Creating a vital user-centered design process. 2. Work with high-quality data, design artifacts can be created, addressing the needs of the real user. 3. Encourage the student to mix these two together in IxD to reap design benefits and opportunities. The most important objective is to ensure the quality of user-centricity of user experience.

Course Schedule Week01 Development of Human-Centric Artificial Intelligent 1. The basic of AI 2. Value of Human-centered Design) The trend of inter-disciplinary integration and development Week02 Design Thinking and the Values of Data Collecting and Generation 1. The five steps of design thinking 2. Data visualization and innovation Week03 Data Analysis and Story Telling 1. Data, Information and Knowledge generation 2. Case studies and concepts of data-driven storytelling Week04 Exploration on Data-Driven Storytelling Technologies 1. Data-Driven Storytelling 2. The method and structure of Storytelling Week05 Data Processing and Data Visualization Design Data processing and analysis 1. The basic principle of Data visualization 2. Data visualization case studies Week06 Data Science Design Thinking Workshop (I) 1. Define the problems 2. User data analysis 3. Data plan and survey Week07 Data Science Design Thinking Workshop (II) 1. Data list and analysis methods 2. User experience design and analysis 3. The basic and applications of Quality Function Deployment(QFD) method Week08 Industrial Field Trip：Practical Experience and Experiment Week09 Midterm Project Presentation and Review Week10 Design Thinking with Five Design Sheets Week11 Design Thinking World Café Workshop on midterm project amendment. Week12 Speech：The Integration and Practice of Spatial Analysis and Deep Learning Week13 Co-working with Industrial Domain Experts： Spatial Data Processing and Analysis Week14 Data Science Design Thinking Workshop (III) 1. Persona 2. User Journey Map 3. Service Blueprint Week15 Data Science Design Thinking Workshop (IV) 1. The value-added analysis of innovation (Kano Model) 2. The Honey Comb User Experience Week16 Data Science Design Thinking Project Prototype Demo and Evaluation 1. Prototype function analysis 2. User Experience Analysis 3. Evaluation of Innovation value created Week17 Term Project presentation and Review Week18 Final Report due and Panel Discussion

Evaluation and grading policy 1. Attendance Rate 2. Midterm Report 3. Project Presentation 4. Final Project Report

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Data-Driven Storytelling, Edited by Nathalie H. Riche, Christophe Hurter, Nicholas Diakopoulos, and Sheelagh Carpendale, CRC Press, Taylor & Francis, 2018. 2. Five Design-Sheets: Creative Design and Sketching for Computing and Visualization, by Jonathan C. Roberts, Christopher J. Headleand, Panagiotis D. Ritsos, Springer, 2017.

The access to curricular consultation

Note
　

Instructor	Sheng Ming Wang
Email	ryan5885@gmail.com
Last Updated	2019-02-15 14:32:51
Course Objective	As the user-center design is becoming the core of most interaction design (IxD), it has become a popular belief that it is no longer the product that leads but users and user preferences that's leading the game. This is where design thinking steps in, where IxD uses their sensibility and methods to match users' need in a way that is technologically feasible and viable enough to generate user value and tap market opportunity. Suggested by some studies, brought in vogue by the popular design firm IDEO, design thinking when combined with decision science results in an infusion of empathy with engineering. This not only ensures a practical and creative resolution of problems but also puts the user at the center of applications and at the starting point to develop new designs and solutions. Meanwhile, ensuring design in analytics projects from the initial stages can lead to the right blend of sensibility, technical feasibility, business viability, and consumer needs. The idea is, design thinking puts user and their needs as the starting point of developing new product and solution and ask questions like for whom are we designing, what is the problem user is experiencing, how to improve the performance and achieve scalability, among others. Data scientist and analyst can make up for great professionals in design thinking, given the right set of tools that is at their disposal. Thus, the main objectives of this course provide: 1. Creating a vital user-centered design process. 2. Work with high-quality data, design artifacts can be created, addressing the needs of the real user. 3. Encourage the student to mix these two together in IxD to reap design benefits and opportunities. The most important objective is to ensure the quality of user-centricity of user experience.
Course Schedule	Week01 Development of Human-Centric Artificial Intelligent 1. The basic of AI 2. Value of Human-centered Design) The trend of inter-disciplinary integration and development Week02 Design Thinking and the Values of Data Collecting and Generation 1. The five steps of design thinking 2. Data visualization and innovation Week03 Data Analysis and Story Telling 1. Data, Information and Knowledge generation 2. Case studies and concepts of data-driven storytelling Week04 Exploration on Data-Driven Storytelling Technologies 1. Data-Driven Storytelling 2. The method and structure of Storytelling Week05 Data Processing and Data Visualization Design Data processing and analysis 1. The basic principle of Data visualization 2. Data visualization case studies Week06 Data Science Design Thinking Workshop (I) 1. Define the problems 2. User data analysis 3. Data plan and survey Week07 Data Science Design Thinking Workshop (II) 1. Data list and analysis methods 2. User experience design and analysis 3. The basic and applications of Quality Function Deployment(QFD) method Week08 Industrial Field Trip：Practical Experience and Experiment Week09 Midterm Project Presentation and Review Week10 Design Thinking with Five Design Sheets Week11 Design Thinking World Café Workshop on midterm project amendment. Week12 Speech：The Integration and Practice of Spatial Analysis and Deep Learning Week13 Co-working with Industrial Domain Experts： Spatial Data Processing and Analysis Week14 Data Science Design Thinking Workshop (III) 1. Persona 2. User Journey Map 3. Service Blueprint Week15 Data Science Design Thinking Workshop (IV) 1. The value-added analysis of innovation (Kano Model) 2. The Honey Comb User Experience Week16 Data Science Design Thinking Project Prototype Demo and Evaluation 1. Prototype function analysis 2. User Experience Analysis 3. Evaluation of Innovation value created Week17 Term Project presentation and Review Week18 Final Report due and Panel Discussion
Evaluation and grading policy	1. Attendance Rate 2. Midterm Report 3. Project Presentation 4. Final Project Report
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Data-Driven Storytelling, Edited by Nathalie H. Riche, Christophe Hurter, Nicholas Diakopoulos, and Sheelagh Carpendale, CRC Press, Taylor & Francis, 2018. 2. Five Design-Sheets: Creative Design and Sketching for Computing and Visualization, by Jonathan C. Roberts, Christopher J. Headleand, Panagiotis D. Ritsos, Springer, 2017.
The access to curricular consultation
Note