À propos de ce cours
4.7
1,636 notes
281 avis
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Basic knowledge of at least one programming language: C++, Java, Python, C, C#, Javascript, Haskell, Kotlin, Ruby, Rust, Scala.

Heures pour terminer

Approx. 29 heures pour terminer

Recommandé : 4 weeks of study, 5-10 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Compétences que vous acquerrez

Binary Search TreePriority QueueHash TableStack (Abstract Data Type)List
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Basic knowledge of at least one programming language: C++, Java, Python, C, C#, Javascript, Haskell, Kotlin, Ruby, Rust, Scala.

Heures pour terminer

Approx. 29 heures pour terminer

Recommandé : 4 weeks of study, 5-10 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
4 heures pour terminer

Basic Data Structures

In this module, you will learn about the basic data structures used throughout the rest of this course. We start this module by looking in detail at the fundamental building blocks: arrays and linked lists. From there, we build up two important data structures: stacks and queues. Next, we look at trees: examples of how they’re used in Computer Science, how they’re implemented, and the various ways they can be traversed. Once you’ve completed this module, you will be able to implement any of these data structures, as well as have a solid understanding of the costs of the operations, as well as the tradeoffs involved in using each data structure....
Reading
7 videos (Total 60 min), 7 lectures, 2 quiz
Video7 vidéos
Arrays7 min
Singly-Linked Lists9 min
Doubly-Linked Lists4 min
Stacks10 min
Queues7 min
Trees11 min
Tree Traversal10 min
Reading7 lectures
Welcome10 min
Slides and External References10 min
Slides and External References10 min
Slides and External References10 min
Available Programming Languages10 min
FAQ on Programming Assignments10 min
Acknowledgements10 min
Quiz1 exercice pour s'entraîner
Basic Data Structures10 min
Semaine
2
Heures pour terminer
1 heure pour terminer

Dynamic Arrays and Amortized Analysis

In this module, we discuss Dynamic Arrays: a way of using arrays when it is unknown ahead-of-time how many elements will be needed. Here, we also discuss amortized analysis: a method of determining the amortized cost of an operation over a sequence of operations. Amortized analysis is very often used to analyse performance of algorithms when the straightforward analysis produces unsatisfactory results, but amortized analysis helps to show that the algorithm is actually efficient. It is used both for Dynamic Arrays analysis and will also be used in the end of this course to analyze Splay trees....
Reading
5 videos (Total 31 min), 1 lecture, 1 quiz
Video5 vidéos
Amortized Analysis: Aggregate Method5 min
Amortized Analysis: Banker's Method6 min
Amortized Analysis: Physicist's Method7 min
Amortized Analysis: Summary2 min
Reading1 lecture
Slides and External References10 min
Quiz1 exercice pour s'entraîner
Dynamic Arrays and Amortized Analysis8 min
Semaine
3
Heures pour terminer
6 heures pour terminer

Priority Queues and Disjoint Sets

We start this module by considering priority queues which are used to efficiently schedule jobs, either in the context of a computer operating system or in real life, to sort huge files, which is the most important building block for any Big Data processing algorithm, and to efficiently compute shortest paths in graphs, which is a topic we will cover in our next course. For this reason, priority queues have built-in implementations in many programming languages, including C++, Java, and Python. We will see that these implementations are based on a beautiful idea of storing a complete binary tree in an array that allows to implement all priority queue methods in just few lines of code. We will then switch to disjoint sets data structure that is used, for example, in dynamic graph connectivity and image processing. We will see again how simple and natural ideas lead to an implementation that is both easy to code and very efficient. By completing this module, you will be able to implement both these data structures efficiently from scratch....
Reading
15 videos (Total 129 min), 6 lectures, 4 quiz
Video15 vidéos
Naive Implementations of Priority Queues5 min
Binary Trees1 min
Basic Operations12 min
Complete Binary Trees9 min
Pseudocode8 min
Heap Sort10 min
Building a Heap10 min
Final Remarks4 min
Overview7 min
Naive Implementations10 min
Trees for Disjoint Sets7 min
Union by Rank9 min
Path Compression6 min
Analysis (Optional)18 min
Reading6 lectures
Slides10 min
Tree Height Remark10 min
Slides and External References10 min
Slides and External References10 min
Slides and External References10 min
Slides and External References10 min
Quiz3 exercices pour s'entraîner
Priority Queues: Quiz12 min
Quiz: Disjoint Sets8 min
Priority Queues and Disjoint Sets6 min
Semaine
4
Heures pour terminer
6 heures pour terminer

Hash Tables

In this module you will learn about very powerful and widely used technique called hashing. Its applications include implementation of programming languages, file systems, pattern search, distributed key-value storage and many more. You will learn how to implement data structures to store and modify sets of objects and mappings from one type of objects to another one. You will see that naive implementations either consume huge amount of memory or are slow, and then you will learn to implement hash tables that use linear memory and work in O(1) on average! In the end, you will learn how hash functions are used in modern disrtibuted systems and how they are used to optimize storage of services like Dropbox, Google Drive and Yandex Disk!...
Reading
22 videos (Total 170 min), 4 lectures, 3 quiz
Video22 vidéos
Analysing Service Access Logs7 min
Direct Addressing7 min
List-based Mapping8 min
Hash Functions3 min
Chaining Scheme6 min
Chaining Implementation and Analysis5 min
Hash Tables6 min
Phone Book Problem4 min
Phone Book Problem - Continued6 min
Universal Family9 min
Hashing Integers9 min
Proof: Upper Bound for Chain Length (Optional)8 min
Proof: Universal Family for Integers (Optional)11 min
Hashing Strings9 min
Hashing Strings - Cardinality Fix7 min
Search Pattern in Text7 min
Rabin-Karp's Algorithm9 min
Optimization: Precomputation9 min
Optimization: Implementation and Analysis5 min
Instant Uploads and Storage Optimization in Dropbox10 min
Distributed Hash Tables12 min
Reading4 lectures
Slides and External References10 min
Slides and External References10 min
Slides and External References10 min
Slides and External References10 min
Quiz2 exercices pour s'entraîner
Hash Tables and Hash Functions8 min
Hashing6 min
4.7
281 avisChevron Right
Avantage de carrière

83%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Promotion de carrière

14%

a obtenu une augmentation de salaire ou une promotion

Meilleurs avis

par DGMay 24th 2016

I like this course very much! Rope is the cleverest task I have ever done! Of course, I hope in future I will work on even more difficult problems, but this is pretty good already for me as a student!

par TTApr 6th 2018

Data Structures was really interesting over all, also assignments are quite challenging. It's important to consult the external references & discussion forums if you want to get the best of it.

Enseignants

Avatar

Alexander S. Kulikov

Visiting Professor
Department of Computer Science and Engineering
Avatar

Michael Levin

Lecturer
Computer Science
Avatar

Daniel M Kane

Assistant Professor
Department of Computer Science and Engineering / Department of Mathematics
Avatar

Neil Rhodes

Adjunct Faculty
Computer Science and Engineering

À propos de University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

À propos de National Research University Higher School of Economics

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru...

À propos de la Spécialisation Data Structures and Algorithms

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....
Data Structures and Algorithms

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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