Crash Course in Probability and Statistics (Fall 2022)

Course intro: [slides]

Useful material:

Lecture notes by Pierre-Edouard Collignon [links without solutions] [link with solutions]


L1: Probability space and random variables [slides]
L2: Expectation and common random variables [slides]
L3: Functions of random variables and conditionality [slides]
L4: Limiting distributions, laws of large numbers, and Central Limit Theorem [slides]