EdX

Data Structures and Algorithm Design Part II | 数据结构与算法设计(下) (edX)

Data Structures and Algorithm Design Part II | 数据结构与算法设计(下) (edX)

Learn the basics of data structures and methods to design algorithms and analyze their performance. 本课程旨在围绕各类数据结构的设计与实现,揭示其中的规律原理与方法技巧;同时针对算法设计及其性能分析,使学生了解并掌握主要的套路与手段。

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results. "Data Structures and Algorithm Design Part II" is an advanced course extending the materials in "Part I". We will cover more powerful and sophisticated data structures & algorithms, including: splay trees, B-trees, red-black trees, hash tables, priority queues, strings and sorting.

数据结构是计算机科学的关键内容,也是构建高效算法的必要基础。其中涉及的知识,在相关专业的课程系统中始终处于核心位置。本课程旨在围绕各类数据结构的设计与实现,揭示其中的规律原理与方法技巧;同时针对算法设计及其性能分析,使学生了解并掌握主要的套路与手段。讲授的主题从基础的数据结构,一直延伸至新近的研究成果。

What you'll learn

  • Algorithms used to solve complex problems
  • Principles and methods in the design and implementation of various data structures
  • Skills for algorithm design and performance analysis
  • Background on fundamental data structures and recent results
  • 数据结构的设计与实现
  • 揭示其中的规律原理与方法技巧
  • 了解并掌握主要的套路与手法
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introducción a la programación en Java: estructuras de datos y algoritmos (edX) EdX
Universidad Carlos III de Madrid - UC3M,UC3Mx

Introducción a la programación en Java: estructuras de datos y algoritmos (edX)

¡Aprende a mejorar tu código en Java utilizando estructuras de datos fundamentales y potentes algoritmos de programación! En este curso introductorio de java aprenderás programación en Java de forma fácil e interactiva. Trabajarás con estructuras de datos fundamentales, tales como listas, pilas, colas y árboles, sobre las cuales se presentarán algoritmos para insertar, eliminar, buscar y ordenar información de una manera eficiente.

Self Paced
Self-Paced
Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

Aug 17th 2026
5-12 Weeks
Estructuras de datos de Python (Coursera) Coursera
University of Michigan

Estructuras de datos de Python (Coursera)

Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.

Aug 17th 2026
5-12 Weeks
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues (edX) EdX
Georgia Institute of Technology,GTx

Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues (edX)

Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.

Self Paced
Self-Paced
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms (edX) EdX
Georgia Institute of Technology,GTx

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms (edX)

Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.

Self Paced
Self-Paced
Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) (edX) EdX
Tsinghua University,TsinghuaX

Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) (edX)

Learn the basics of data structures and methods to design algorithms and analyze their performance. 本课程旨在围绕各类数据结构的设计与实现,揭示其中的规律原理与方法技巧;同时针对算法设计及其性能分析,使学生了解并掌握主要的套路与手段。

Self Paced
Self-Paced
Algorítmica Básica (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Algorítmica Básica (edX)

Aprende los fundamentos del pensamiento algorítmico, estructuras de datos y los principios básicos de programación con aplicación a los negocios. Los algoritmos pueden ser utilizados para la solución de problemas de negocio. En este curso aprenderás los conceptos básicos de algoritmos y el manejo de estructuras de datos.

Self Paced
Self-Paced
Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms (edX) EdX
Georgia Institute of Technology,GTx

Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms (edX)

Delve into Pattern Matching algorithms from KMP to Rabin-Karp. Tackle essential algorithms that traverse the graph data structure like Dijkstra’s Shortest Path. Study algorithms that construct a Minimum Spanning Tree (MST) from a graph. Explore Dynamic Programming algorithms. Use the course visualization tool to understand the algorithms and their performance.

Self Paced
Self-Paced
Python Data Structures (edX) EdX
University of Michigan,MichiganX

Python Data Structures (edX)

The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.

Self Paced
Self-Paced