Course Overview

Design should not stop at being just a intuitive expression of the designer. It should provide aesthetic values and contribute to the better society. In order to better understand the information in design process, we need to understand what is data, how can we obtain data from investigation and evaluaiton, and how to analyze data and make insightful discussion.

Learning Achievement

To understand the characteristics of data as the basis of design. Students are expected to be able to collect data and conduct statistical analysis in proper ways, discuss the result and apply to design process.

Competence

(Generic Competence) Communication ability, critical thinking, creativity, data literacy, internationality, cooperativeness, self management.
(Specific Competence) Creative expresiveness, problem solving, logical thinking, etc.

Course prerequisites

No requirements. Although students are recommended but not mandatory to take the class 「Design evaluation and empirical research」as well.

Grading Philosophy

Will be judged though Report(50%) and whether the student has acquired the basic ability of using statistical analysis(50%). Among A~D, the students must get at least C to receive credit.

Course schedule

The meaning of data in desgin process
Data literacy
Review of SPSS and Preview of R
Lecture by professional design analyst
Lecture by professional design analyst
Lecture by professional design analyst
Lecture by professional design analyst
Lecture by professional design analyst
Lecture by professional design analyst
Lecture by professional design analyst
The above orders and procedures are subject to change based on the progress of the class

Course type

Lectures

Online Course Requirement

Instructor

Bao Suomiya

Other information

Site for Inquiry

Link to the syllabus provided by the university