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Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2436 | yes | Coursera |
The Syllabus
Videos
- 1.1. Objectives and agenda of the course
- 1.2. QCA vs other approaches
- 1.3. Set theory and complex causality
- 1.4. The QCA research field
Readings
- Course guide
- Readings in course guide
Videos
- 2.1. Orientation and focal points
- 2.2. Cases, outcomes and conditions
- 2.3. Crisp vs fuzzy sets
- 2.4. Calibration with quantitative, qualitative and secondary data
Reading
- Readings in course guide
Practice Exercise
- Assignment 1. Main terms and background
Videos
- 3.1. The purpose and construction of a truth table
- 3.2. Raw consistency
- 3.3. Resolving contradictory configurations
Reading
- Readings in course guide
Practice Exercises
- Assignment 3. Make a truth table for crisp data
- Assignment 4. Make a truth table for fuzzy data
Videos
- 4.1. What is logical minimization?
- 4.2. The minimal formula
- 4.3. Parameters of fit
Reading
- Readings in course guide
Practice Exercise
- Assignment 5. Minimize a truth table
Videos
- 5.1. Using FsQCA 3, part 1
- 5.2. Using FsQCA 3, part 2
- 5.3. Do's and don'ts for the write-up
Reading
- Readings in course guide
Practice Exercises
- Assignment 6. Using the program fsQCA for the analysis of crisp data (PLUS bonus assignment 7; is not mandatory)
- Assignment 8. Using the program fsQCA for the analysis of fuzzy data (PLUS bonus assignment 9; is not mandatory)
Instructors
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