School of Engineering and Technology, (SET)

This course provides knowledge and skills on advanced research in built environment for students to plan, prepare, and conduct their master or/and doctoral thesis.

On completion of this course, students would be able to:

  • Develop systematically research proposal (problem statement, objective, hypothesis and research methodology).
  • Select and apply proper research method to plan and execute research projects.
  • Analyze data using proper statistical method and interpret the results.

None

I.      Quantitative Research

  1. Introduction to Research in Built Environment
  2. Descriptive, Explanatory and Predictive Quantitative Research
  3. Hypothesis and Research Variables
  4. Research Design
  5. Data Collection
  6. Measurement Design Development: Construct, Criteria and Content Validity

 II.    Qualitative Research

  1. Introduction to Research Methods in Built Environment
  2. Approaches to Research Methodology
  3. Research Cycle
  4. Literature Review and Critical Reading
  5. Research Design & Sampling
  6. Data Collection
  7. Data Analysis
  8. Tests of Measurement
  9. Grounded Theory
  10. Case Study

III.   SPSS for Data Analysis

  1. Descriptive Statistics
  2. T Test
  3. Chi-Square
  4. ANOVA and Post-hoc test
  5. Correlation Test
  6. Regression Test
  7. Factor Analysis
  8. Structural Equation Modelling

None.

No designated textbook. Class notes and handouts will be provided.

  1. Marczyk, G., DeMatteo, D., and Festinger, D. (2005): Essentials of Research Design and Methodology, John Wiley & Sons, New Jersey.
  2. Adams, J., Khan, H.T.A., Raeside, R., and White, D. (2007): Research Methods for Graduate Business & Social Science Students, Response, Sage, Los Angeles.
  3. Holt, G. (1998): A Guide to Successful Dissertation Study for Students of the Built Environment, 2nd Ed. University of Wolverhampton, United Kingdom.
  4. Yin, Robert K. (2011): Qualitative Research from Start to Finish, The Guilford Press, New York London


  1. Construction Management and Economics, Taylor & Francis.
  2. Academy of Management Journal, Academy of Management, United States.

Lectures:                                     45 hours

Self-study:                                 120 hours

Case Study and Assignments:    15 hours

Mass Instruction: Lectures, Class room exercises and presentations

Individualized Learning: Individual home assignments at the end of each class.

Group Learning: Group home assignments at the end of each class to practice, Case Studies to enhance the practical problem-solving skills.

The final grade will be computed using the following weights:

Case study and Assignments: 10%

Mid-Exam (Open Book): 30%

Final Exam (Open Book): 60%

 

“A” will be awarded if a student can demonstrate clear understanding of the topics learned in class, has integrated knowledge of the course, can apply the knowledge appropriately in the project/case study, and actively contribute in class discussion.

“B” will be awarded if a student can demonstrate basic understanding of the topics learned in class, can apply the knowledge in the project/case study, and contribute in class discussion.

“C” will be given if a student can demonstrate partial understanding of the topics learned in class, can apply the knowledge in the project/case study, and quiet during class discussion.

“D” will be given if a student demonstrates lack of understanding of the topics learned in class, cannot apply the knowledge appropriately in the project/case study, and cannot contribute in class discussion.


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