- Lecture 1: Introduction to Information-theoretic Lower Bounds via Puzzles
- Lecture 2: Importance of Problem Structures
- Lecture 3: Statistical Decision Theory: Model Distance and Equivalence
- Lecture 4: Local Asymptotic Normality and Asymptotic Theorems
- Lecture 5: Hypothesis Testing and Le Cam’s Two-point Method
- Lecture 6: Generalized Two-Point Method: Point vs. Mixture
- Lecture 7: Mixture vs. Mixture and Moment Matching
- Lecture 8: Multiple Hypothesis Testing: Tree, Fano and Assoaud
- Lecture 9: Multiple Hypothesis Testing: More Examples
- Online Lecture: Information-theoretic Lower Bounds
