Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.
This Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.
WHAT YOU WILL LEARN
Coursera
Dive into the world of C++ with this introductory course on Object-Oriented Data Structures. Learn how to set up a development environment, write effective C++ code, and implement data structures as classes. Perfect for beginners and intermediates aiming to deepen their understanding of programming fundamentals.
Coursera
Discover how to effectively organize and manage structured data with our Ordered Data Structures course on Coursera. Gain expertise in essential data structures like arrays, linked lists, and more, learning techniques for efficient storage and retrieval of ordered information.
Coursera
Discover the power of unordered data structures with this comprehensive online course. From hash tables to disjoint sets and graphs, learn how to efficiently manage and manipulate unsorted data using proven techniques and algorithms. Perfect for programmers looking to enhance their skills in data organization and manipulation.