Introduces informal proofs and their practical applications in computer science and mathematics, emphasizing the importance of proving theorems through direct and indirect methods.
Covers proof techniques including direct proof, contraposition, contradiction, cases, and counterexample.
Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.
Covers advanced topics in probability theory, focusing on geometric distribution and variance calculations.
Introduces sets as unordered collections of objects and explains set description methods, examples, and types of numbers.
