Introducción a Java: Estructuras de Datos y Algoritmos

This module covers fundamental linear data structures in Java programming. Students will learn how to organize and manipulate data using arrays and linked lists, understanding their implementation, advantages, and limitations. The module explores how to effectively use these structures to store and manage collections of data elements sequentially.

This module focuses on stack data structures in Java. Students will learn about the Last-In-First-Out (LIFO) principle, implementation techniques using arrays and linked lists, and common stack operations such as push, pop, and peek. The module also explores practical applications of stacks in programming scenarios.

This module examines queue data structures in Java. Students will understand the First-In-First-Out (FIFO) principle, learn different implementation approaches using arrays and linked lists, and practice essential queue operations like enqueue and dequeue. The module covers various types of queues and their applications in solving computational problems.

This module delves into tree data structures in Java, including binary search trees and heaps. Students will learn about hierarchical data organization, tree traversal algorithms, and implementation techniques using linked lists or arrays. The module covers operations such as insertion, deletion, and searching in trees, emphasizing their efficiency and applications.

This module focuses on sorting algorithms in Java programming. Students will learn about various sorting techniques, their implementation, and comparative analysis of their efficiency. The module covers fundamental algorithms like bubble sort, insertion sort, selection sort, merge sort, and quicksort, teaching students how to choose and implement the most appropriate sorting method for different scenarios.