# MCI: Lecture Slides

### Lecture 1: Introduction

### Lecture 2: Basics of probability

### Lecture 3: Regression and Graphs

### Lecture 4: Potential Outcomes

### Lecture 5: Potential outcomes, propensity score

### Lecture 6: Instrumental variables

### Lecture 7: Sensitivity Analysis

### Lecture 8: Difference in difference

### Lecture 9: Pearl's do operator

### Lecture 10: The adjustment formula (Pearl)

### Lecture 11: Front door

### Lecture 12: PC algorithm

### Lecture 13: Do_calculus_optimal_conditioning

### Lecture 14: Mediation part 1

### Lecture 15: Counterfactual

### Lecture_16_17: Counterfactuals, attribution, mediation

### Lecture 18: ANMs

### Revision summary slides

License

All rights reserved The University of Edinburgh