C++ Data Structures and Algorithms with Recursion

Writing efficient software requires a deep understanding of how data is stored, organized, and manipulated in memory. This text-based course guides you through the core principles of computer science, teaching you how to design and implement fundamental algorithms and data structures using C++. You will transition from writing basic programs to designing highly optimized, memory-safe solutions. By exploring the theoretical foundations first, you will learn how to write custom implementations from scratch, utilizing modern C++ practices like smart pointers and efficient memory management to write clean, robust code. What you'll learn: - Understand the mechanics of recursion, including stack memory allocation and backtracking strategies. - Build custom data structures from scratch, including linked lists, binary search trees, and hash tables. - Implement classic sorting and substring search algorithms to optimize data retrieval and processing. - Apply dynamic programming techniques such as memoization and tabulation to solve complex optimization problems. - Analyze graph structures and execute traversal and shortest-path algorithms like Dijkstra's. - Practice modern C++ memory management techniques, including smart pointers, to prevent memory leaks in custom structures. The course starts with foundational definitions of memory and recursion before moving step-by-step through backtracking, dynamic programming, custom data structures, and advanced graph algorithms. Each concept is reinforced with detailed written explanations and code walk-throughs to ensure practical understanding. This course is designed for aspiring software engineers and computer science beginners. No prior experience with complex algorithms is required, though a basic familiarity with introductory C++ syntax will help you get the most out of the material. Start reading today to master the core building blocks of computer science.