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A Programmer's Guide to Computer Science: A virtual degree for the self-taught developer

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Author(s): William M. Springer II
Publisher: Jaxson Media
Year: 2019

Language: English

Introduction
Part I : Computer Science Fundamentals
Chapter 1 : Asymptotic Runtime
Chapter 2 : Data Structures
Chapter 3 : Classes of problems
Part II : Graphs and Graph Algorithms
Chapter 4 : Introduction to Graph Theory
Chapter 5 : Data Structures on Graphs
Chapter 6 : Well - Known Graph Algorithms
Chapter 7 : Common Graph Classes
Part III : Non - Graph Algorithms
Chapter 8 : Sorting Algorithms
Part IV : Problem - Solving Techniques
Chapter 9 : Brute Force or No ?
Chapter 10 : Dynamic Programming
Chapter 11 : Greedy Algorithms
Part V : Complexity Theory
Chapter 12 : Understanding Complexity Theory
Chapter 13 : Languages and State Machines
Chapter 14 : Turing Machines