1. Week 1: Introduction (Note; Slides)
2. Survey Error and Probability Sampling (Slides)
3. Simple Random Sampling: Part 1 (Slides)
4. Simple Random Sampling: Part 2 (Slides)
Midterm Exam 1: Problem (Solution)
5. Systematic Sampling (Slides)
6. PPS sampling (Slides)
7. Stratified random sampling: Part 1 (Slides)
8. Stratified random sampling: Part 2(Slides), Youtube lectures: P1, P2, P3, Script
9. Ratio Estimation: Slides (Youtube lectures: P1, P2, P3, P4, Script)
10. Regression Estimation: Slides (Youtube lectures: P1, P2, P3, P4, P5, P6, Script)
Midterm Exam 2: Problem (Solution)
11. Domain estimation: Slides (Youtube lecture: P1, P2, P3, Script)
12. Single Stage Cluster sampling: Slides (Youtube lecture: P1, P2, P3, P4, P5, Script)
13. Two stage cluster sampling: Slides (Youtube lecture: P1, P2, P3, P4, P5, P6, Script)
14. Unequal probability cluster sampling: Slides (Youtube lecture: P1, P2, P3, P4, Script)
Final Exam: Problem (Solution)