Algorithms and Complexity
Completed by Shlok Arora
April 9, 2026
19 hours (approximately)
Shlok Arora's account is verified. Coursera certifies their successful completion of Algorithms and Complexity
What you will learn
Design finite automata and explain how deterministic and non-deterministic machines recognise and process formal languages.
Implement, compare, and evaluate searching and sorting algorithms, analysing their performance and correctness in different contexts.
Create recursive and iterative algorithms, identifying scenarios where each approach provides clarity, efficiency, or scalability.
Analyse algorithms with asymptotic notation, explain complexity classes like P and NP, and interpret NP-completeness in computing.
Skills you will gain
- Category: Graph Theory
- Category: Computer Science
- Category: Theoretical Computer Science
- Category: Game Theory
- Category: Complex Problem Solving
- Category: Data Structures
- Category: Analysis
- Category: Critical Thinking and Problem Solving
- Category: Computational Thinking
- Category: Computational Logic
- Category: Logical Reasoning
- Category: Critical Thinking

