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What You'll Learn
Concepts:
Discrete Random Variables in Probability Theory
Independence of Events, the Product Rule, and the Birthday Problem in Probability
Congestion-Free Routing in Butterfly and Benes Communication Networks
The Stable Marriage Problem and the Gale-Shapley Matching Algorithm in Graph Theory
Gambler's Ruin and Random Walks in Probability Theory
Euler Tours, Tournament Graphs, and King Chickens in Graph Theory
Expected Value and Linearity of Expectation for Random Variables in Probability Theory
Greatest Common Divisor Algorithm for Integers
Valuing Annuities with Geometric Series in Discrete Mathematics
Proof by Mathematical Induction in Discrete Mathematics
The RSA Encryption Algorithm in Number Theory
The Monty Hall Problem and the Probability of Switching Doors
Linear difference equations
Recursion Relation Development in Algorithms
Bounding Event Probabilities with Indicator Random Variables and Murphy's Law in Probability Theory
The Inclusion-Exclusion Principle in Combinatorics
Spanning Trees and Minimum Spanning Tree Construction in Graph Theory
Markov, Chebyshev, and Chernoff Bounds for Random Variable Deviation
Combinatorial Counting Techniques: Bijections and the Pigeonhole Principle
Partial Orders and Topological Sorting in Discrete Mathematics
Graph Coloring Problems in Combinatorial Optimization
The Base Rate Fallacy and False Positive Paradox in Conditional Probability
Invariants and Strong Induction in Mathematical Proof
Asymptotic Notation in Algorithm Analysis