Accelerated Computer Science Fundamentals
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 prepare for the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Course by University of Illinois Urbana-Champaign
-
Offered by
About
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.Auto Summary
Accelerated Computer Science Fundamentals by Coursera offers a deep dive into object-oriented programming, algorithm analysis, and essential data structures like arrays, hash tables, and graphs. Ideal for aspiring MCS and MCS in Data Science students, this professional-level course provides flexible subscription options tailored to your learning needs.
Wade Fagen-Ulmschneider