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Algorithms

Master Algorithms from core theoretical foundations to practical industry applications.

1Module 1: Algorithmic Design and Analysis

Core modules and technical concepts for Algorithms.

Topic 1.1: Asymptotic Analysis

Foundational and applied principles of Asymptotic Analysis.

Big-O, Big-Theta, and Big-Omega Notations

Comprehensive technical guide and practical walkthrough of Big-O, Big-Theta, and Big-Omega Notations.

Time and Space Complexity Trade-offs

Comprehensive technical guide and practical walkthrough of Time and Space Complexity Trade-offs.

Topic 1.2: Core Algorithmic Paradigms

Foundational and applied principles of Core Algorithmic Paradigms.

Sorting and Searching (Merge Sort, Quick Sort, Binary Search)

Comprehensive technical guide and practical walkthrough of Sorting and Searching (Merge Sort, Quick Sort, Binary Search).

Divide and Conquer, Greedy Algorithms, and Dynamic Programming

Comprehensive technical guide and practical walkthrough of Divide and Conquer, Greedy Algorithms, and Dynamic Programming.