Semester Offering: January
The course is intended to familiarize students with the logic of research design and its core elements, and a broad range of data analytical methods and techniques in urban planning and environmental decision-making as well as socio-spatial research.


The student on completion of this course would be able to:
1.   Develop basic skills and competency for data collection and analytical methods and techniques.
2.  Compare a range of methods and be able to decide on appropriate research design and approaches to investigate their chosen research problems


ED52.9005 Introduction to Research Design


I.            Research Methodology
1.          Designing and planning research
2.          Methodological framework in research
3.          Presenting the analytical results

II.         Preparing Data for Analysis
1.          Statistical data collection
2.          Spatial data collection
3.          Field data collection
4.          Data preparation processes


I.            Socio-economic analysis
II.          Socio-spatial analysis
III.       Strategic and decision-making analysis
IV.       Writing the research proposal


There is no designated textbook for this course, but lecture notes and reading materials will be provided.


        Lectures: 5 hours
   Workshop sessions (proposal writing exercises and tutorials): 30 hours
           Self-study: 45 hours
    Assignments: 45 hours


The course will include lecture sessions, discussion, and workshop sessions consisting of hands-on practices on research methods, research proposal writing exercises and individual tutorials.


The final grade will be computed from the following constituent parts:
- Proposal writing assignment 1: 20%
- Proposal writing assignment 2: 20%
- Proposal writing assignment 3: 30%
- Quiz and small assignments: 30%

An “A” would be awarded if a student can contextualize the knowledge learned in class by including their own insight and analysis. A “B” would be given if a student shows an overall understanding of all topics, a “C” would be given if a student meets below average expectation in terms of comprehension and analysis, and a “D” would be given if a student does not meet basic expectations in analyzing or understanding the issues presented in the course.