Data Structure and Algorithms
Earn college credit with Data Structures and Algorithms—a self-paced online course covering lists, stacks, queues, trees, hashing, sorting, searching, and complexity fundamentals. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Ideal for CS degree requirements and interview prep foundations, with transcript options.
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Upon the successful completion of this course, students will be able to: implement and use Java programming by configuring a coding environment, constructing Java statements, implementing loops, and effectively debugging Java programs; discuss object-oriented design principles, including inheritance, polymorphism, and encapsulation, and apply these concepts to design and implement complex Java programs; master data structures such as arrays, linked lists, trees, and queues, understanding their practical applications and implementing them efficiently in Java; analyze algorithms, including recursion and sorting algorithms, evaluate their performance, and apply to solve real-world problems; develop skills in text processing, graph data structures, memory management, and external memory techniques, ensuring they are well-equipped to handle diverse programming challenges in Java; and design, implement, and analyze Java programs effectively via assignments and practical applications.
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Learning Outcomes
Upon the successful completion of this course, students will be able to: implement and use Java programming by configuring a coding environment, constructing Java statements, implementing loops, and effectively debugging Java programs; discuss object-oriented design principles, including inheritance, polymorphism, and encapsulation, and apply these concepts to design and implement complex Java programs; master data structures such as arrays, linked lists, trees, and queues, understanding their practical applications and implementing them efficiently in Java; analyze algorithms, including recursion and sorting algorithms, evaluate their performance, and apply to solve real-world problems; develop skills in text processing, graph data structures, memory management, and external memory techniques, ensuring they are well-equipped to handle diverse programming challenges in Java; and design, implement, and analyze Java programs effectively via assignments and practical applications.
Major Course Topics
Major topics include introduction to Java programming; object-oriented design fundamentals; core data structures; analyzing Algorithms; recursion and recursive Algorithms; stacks, queues and lists in Java; list and iterator abstract data types; trees in data structures; priority queues in Java; maps and hash tables in data structures; search trees and types; sorting and selection in Java; text processing; graph data structures; and memory management.