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Lecture 18: Probability Introduction Description: Gives an overview of probability, including basic definitions, the Monty Hall ...

Lecture 25: Random Walks Description: Discusses random walks and their non–intuitive effect on systems, such as gambling at ...

Lecture 06: Graph Theory and Coloring Description: An introduction to graph theory basics and intuition with applications to ...

Lecture 19: Conditional Probability Description: Covers conditional probability and its applications to examples including medical ...

Lecture 22: Expectation I Description: Covers expected value as it relates to random variables, discussing coin games, network ...

Lecture 01: Introduction and Proofs Description: Introduction to mathematical proofs using axioms and propositions. Covers basics ...

Lecture 03: Strong Induction Description: Covers strong induction as a tool for proofs. Introduction to invariants with different ...

Lecture 20: Independence Description: Differentiates between independent and dependent events as it pertains to probability, ...

Lecture 07: Matching Problems Description: Introduces the concept of matching. Discusses the mating algorithm, its fairness, and ...

Lecture 04: Number Theory I Description: Explores the basics of number theory with state machines, linear combinations, and ...

Lecture 05: Number Theory II Description: Delves deeper into number theory, covering the basics of encryption and decryption ...

Lecture 02: Induction Description: An introduction to proof techniques, covering proof by contradiction and induction, with an ...

Lecture 23: Expectation II Description: Continues exploring expectation with a discussion of likelihood in cases of card games, ...

Lecture 21: Random Variables Description: Introduces partitioning of the probabilistic sample space using random variables.

... of computer programs is the thing that people would talk about in hushed tones when I was at college that like well in MIT you ...

Juku.org | Help us change Learning forever. Lecture Description: Computational models: random walk simulation Course ...

Juku.org | Help us change Learning forever. Lecture Description: Goals of the course; what is computation; introduction to data ...

You can find the lecture notes and exercises for this lecture at https://missing.csail.mit.edu/2020/course-shell/ Help us caption ...

Lecture 01: Algorithms and Computation The goal of this introductions to algorithms class is to teach you to solve computation ...

Lecture 1: Introduction MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/