Discussion of ComplexityExplores worst-case complexity in computer science and the importance of real-life complexity in algorithm selection.
Complexity of AlgorithmsCovers the Big-O notation to analyze algorithm efficiency and provides examples of polynomial and factorial function estimates.
Introduction to LogarithmCovers the introduction to logarithms, algorithmic notations, and analysis of algorithm travel times.
Computation & Algorithms IExplores algorithm complexity, time complexity estimation, Landau notations, and asymptotic behavior analysis.