Erasmus University Rotterdam - Studying Cities: Social Science Methods for Urban Research
- Offered byCoursera
- Public/Government Institute
Studying Cities: Social Science Methods for Urban Research at Coursera Overview
Duration | 7 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Studying Cities: Social Science Methods for Urban Research at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 7 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish
Studying Cities: Social Science Methods for Urban Research at Coursera Course details
- Welcome!
- Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Then you have found the right course: Studying Cities: Social Science Methods for Urban Research by the Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam. During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors.
- Before any (urban) researcher may start conducting research, it is crucial to understand the different aspects and elements of doing research. The course will guide you through the various steps of the research cycle to provide you with the basic knowledge necessary for any Master-level program, but with a special focus on urban and local development. The course starts with introductory lectures on the problem statement, research objective, empirical cycle and the research question. Over the following weeks you will also learn the components and criteria of the theoretical framework and operationalization, research strategies, and the collection and analysis of quantitative and qualitative data. You will be provided with the necessary tools to understand and evaluate these key steps in scientific research by watching video lectures with in-video questions and by completing the final peer review, which will use all the elements you have learnt throughout the course.
Studying Cities: Social Science Methods for Urban Research at Coursera Curriculum
Research Topic
Introduction to Week
Problem Statement
Research Objective / Empirical Cycle
Research Question
Testimonial 1 - Introduction to Julia's research
Introduction to Studying Cities: Social Science Methods for Urban Research
Reading assignment: Problem Statement (video)
Reading assignment: Research objective (video)
Pre-test
Module 1 - Quiz
Theoretical Framework and Operationalization
Introduction Video
Knowing What is Known: Literature Review
Conceptualisation
Conceptual Framework
Operationalization
Research Strategies
Introduction to Research Strategies
Strategy Validity and Reliability
Surveys
Experiments
Quasi Experiments
Case Studies - Defining a case study and when to use it
Case Studies - Types of case studies
Desk Research
Hanna's Testimonial: Researching commuting to work by bicycle in Rotterdam.
Hanna's Testimonial: Choosing a suitable strategy
Module 2 and 3 - Quiz
Quantitative and Qualitative Data
Introduction Video
Sampling
Primary Quantitative Data Collection
Secondary Quantitative Data Collection
Primary Qualitative Data Collection - Part One
Primary Qualitative Data Collection - Part Two
Constructing a Questionnaire
Administering a Questionnaire
Preparing and Conducting Interviews
Quantitative and Qualitative Analysis
Introduction Video
Qualitative Data Analysis: Data Management
Qualitative Data Analysis: Introduction to Coding
Qualitative Data Analysis: Tips for Coding
Qualitative Data Analysis: How to analyse the data
Qualitative Data Analysis: Reliability and Validity
Data Analysis: Primary Quantitative Data Analysis
Primary and Secondary Quantitative Data Preparation
Data Analysis: Secondary Quantitative Data Analysis
Data Analysis: Quantitative Data Analysis
Quiz - Module 4 and 5
Post-test (self-assessment)
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