In this course, "Data Structures and Algorithms," students will embark on a comprehensive exploration of the fundamental components that underpin effective software development. Central to computer science, this course delves into the critical interaction between algorithms and data. Algorithms are precise sets of instructions designed to process data, yielding meaningful results and driving functionality in software systems. Meanwhile, data structures are specialized formats for organizing and storing data, which are essential for efficient algorithm execution.
Throughout the course, students will learn how various data structures—such as arrays, linked lists, stacks, queues, trees, and graphs—affect the performance of algorithms. The curriculum emphasizes the selection of appropriate data structures to optimize efficiency and performance, encompassing both theoretical concepts and practical applications. Topics include complexity analysis, sorting and searching algorithms, recursion, and graph algorithms, among others.
By the end of the course, students will be equipped with a solid understanding of how to leverage data structures and algorithms to solve complex problems, improve software performance, and contribute to robust software development practices.
- Teacher: Dr Rimpy Bishnoi