ID727 FUNDAMENTALS OF DATA ANALYSIS FOR POSITIVE USER EXPERIENCE
| Course Code: | 1250727 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (0.00 - 3.00) |
| ECTS Credit: | 8.0 |
| Department: | Industrial Design |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. OWAIN FRANCIS PEDGLEY |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
The course sets out to:
- introduce key concepts related to positive user experience;
- present qualitative, quantitative, and mixed method approaches appropriate to user experience research;
- familiarise students with core data analysis techniques;
- support interpretation of findings to generate reportable research insights.
Course Content
Review of basic concepts of the current issues in positive user experience. Basic data analysis techniques for exploring user experience. Review of qualitative, quantitative and mixed data analysis methods beneficial for design researchers. Coding and entering data, implications of data for user experience. Design and implication of data visualization. Review of reporting results for user experience.
Course Learning Outcomes
On completing the course, students will be able to:
- explain foundational concepts of positive user experience;
- apply basic analysis methods to user experience datasets;
- interpret research findings to identify meaningful user insights;
- communicate research results clearly and effectively.
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Identifying research areas in distinct and contemporary topics and formulating research problems; | ✔ | |||
| 2 | Being competent in the research process, process planning, managing, analyzing data, and correctly interpreting findings; | ✔ | |||
| 3 | Transforming knowledge in the field and research results into strategies, politics, methods and/or decisions; | ✔ | |||
| 4 | Transferring research findings into design education and practice; | ✔ | |||
| 5 | Disseminating generated knowledge, making publications and presenting them; | ✔ | |||
| 6 | Having general knowledge in the field of design, having covered the literature and developing expertise in specific topics; | ✔ | |||
| 7 | Having responsibility towards own research, respecting and practicing research ethics; | ✔ | |||
| 8 | Having work discipline and skills in time planning; | ✔ | |||
| 9 | Having skills in oral, written and visual communication; | ✔ | |||
| 10 | Open to continuous education and self-development, having high professional motivation; | ✔ | |||
| 11 | Open and willing to share knowledge and skills with stakeholders; | ✔ | |||
| 12 | Being critical, able to make self-criticism, reflecting objective and unprejudiced thinking into their own work; | ✔ | |||
| 13 | Synthesising knowledge from different disciplines to use in one?s own field and using it for generating new knowledge. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution