You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. In this online course, we consider the common data structures that are used in various computational problems. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.Ī good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists.

We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner), a chief data scientist at Yandex (Michael Levin), and a former software engineer at Google (Neil Rhodes). However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it.

Algorithms data structures programs