Yonsei 2026-Fall | Bokyung Lee Upcoming

CDM2008: Design Research

Design research turns questions about people, contexts, and experiences into evidence that can guide responsible design decisions. This course introduces a systematic process for framing research, selecting qualitative methods, conducting fieldwork, synthesizing findings, and communicating actionable insights.

Class time
Friday(s), time to be announced
Location
VeritasB 206 (DFK Idea shop)
Instructor
Prof. Bokyung Lee
Language
English

Grading scheme

10%

Preparation & In-class Engagement

FC lecture completion, class preparedness, workshop participation, peer feedback, and collaboration throughout the semester

10%

Weekly Process Assignments

Timely completion, effort, and progress demonstrated through weekly worksheets, drafts, research materials, and feedback submissions

Assessment weights are provisional until the official syllabus is published.

Course principles & policies

Assignments and Deliverables

Weekly assignments support the step-by-step development of the semester research project. Depending on the week, an assignment may be prepared for class, completed through a worksheet, presented during a feedback session, or uploaded for review. Assignments are assessed collectively under the Weekly Process Assignments category based primarily on timely completion, preparedness, effort, and evidence of continued progress. Not every assignment will receive a separate numerical score or detailed feedback.

Formal Deliverables are the major assessed outcomes of the course. Each Deliverable carries a designated grade weight and is evaluated using specific criteria. Most of the course grade is therefore determined by the quality and coherence of the four formal Deliverables.

Research ethics

Students must follow the approved consent, privacy, data handling, and participant-respect procedures introduced in class.

Attendance and participation

Detailed attendance, lateness, and participation policies will follow the official syllabus and Yonsei University regulations.

Academic integrity

Research records, analysis, writing, and attribution must accurately represent the student's work and sources. Any use of AI tools must follow the course policy announced by the instructor.

Provisional information

Topics, deliverables, weights, and deadlines on this default page may be revised before the official syllabus is published.

Course materials

LearnUS course pageAvailable when the course opens
Detailed syllabusTo be announced
Readings and method templatesAdded weekly
Submission linksAdded before each deadline
Return to all courses