This course explores data structures and algorithms for back-end development, focusing on performance and scalability. You'll learn to analyze, implement, and optimize key structures and algorithms in .NET Core to efficiently solve real-world back-end challenges. By the end of this course, you will be able to… Analyze the efficiency of common data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching) to determine their impact on back-end development. Implement data structures and algorithms in .NET Core to solve specific back-end problems, including sorting, searching, and traversal tasks, with a focus on performance and scalability. Design scalable back-end applications using appropriate data structures and algorithms, optimizing for performance in areas such as database query handling and large-scale data processing within the final project. Optimize back-end code for performance by applying advanced algorithmic techniques and refactoring inefficient solutions based on complexity analysis throughout the course.
What you'll learn
Analyze the efficiency of data structures like arrays, linked lists, trees, and graphs
Implement key algorithms including sorting and searching in .NET Core
Design scalable back-end applications with a focus on performance
Optimize back-end code using advanced algorithmic techniques
Course objectives
To provide a solid understanding of data structures and algorithms in the context of back-end development
To equip students with the skills to design and optimize back-end applications