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

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

What's inside

Learning objectives

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

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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers advanced topics like splay trees and red-black trees, broadening learners' knowledge of data structures

Provides a solid foundation in fundamental data structures, making it suitable for beginners

Develops problem-solving skills through algorithms for complex challenges

Taught by instructors Junhui Deng with expertise in data structures and algorithm design

Requires students to take 'Data Structures and Algorithm Design Part I' as a prerequisite

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Structures and Algorithm Design Part II | 数据结构与算法设计(下) with these activities:

Fundamentals of Data Structures in C++

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Review the foundational concepts of data structures and gain a comprehensive understanding of their implementation in C++.

View Data Structures and Algorithms in C++, 2nd... on Amazon

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Read the introductory chapters on data structures and their applications
Study each data structure in detail, including its properties and operations
Practice implementing the data structures in C++
Solve problems using the data structures

Participate in Study Groups

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Join or form study groups to discuss course materials, solve problems, and teach each other, fostering a collaborative learning environment.

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Find or create a study group with peers
Set regular meeting times and stick to them
Prepare for each meeting by reviewing course materials and completing homework
Participate actively in discussions and ask questions

Create a Presentation on Data Structures

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Prepare a presentation that explains a specific data structure or algorithm, enhancing your understanding through teaching and synthesizing information.

Browse courses on Data Structures

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Select a data structure or algorithm to present
Research and gather relevant information
Create slides that clearly explain the concepts
Rehearse the presentation and gather feedback

Four other activities

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Algorithms Drills Using Leetcode

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Solve a series of challenging programming problems to improve your algorithm design and implementation skills.

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Sign up for a Leetcode account
Select a problem set and start solving easy problems
Progress to harder problems as you gain confidence
Review solutions and discuss with peers to improve your understanding

Design and Implement a Complex Data Structure

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Design and implement a complex data structure that meets specific requirements, deepening your understanding of data structures and their applications.

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Define the requirements and specifications of the data structure
Research and explore different design options
Implement the data structure and its operations
Test and evaluate the performance of the data structure

Build a Data Structure Library

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Develop a comprehensive data structure library from scratch, solidifying your understanding of data structures and their implementation.

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Plan the design of the library, including the data structures and their interfaces
Implement the data structures and their operations
Test the library thoroughly to ensure its correctness and efficiency
Document the library for easy use by others

Contribute to Open-Source Data Structure Projects

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Engage in open-source projects related to data structures, contributing to the community while gaining practical experience.

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Find a suitable open-source project that aligns with your interests and skills
Review the project's documentation and codebase
Identify an area where you can contribute, such as bug fixes or feature enhancements
Submit your pull requests and actively participate in code reviews

Career center

Learners who complete Data Structures and Algorithm Design Part II | 数据结构与算法设计(下) will develop knowledge and skills that may be useful to these careers:

Computer Scientist

Computer Scientists research and develop theoretical foundations of computing and information processing. They advance the frontiers of computer science through groundbreaking algorithms, data structures, and computational models. The "Data Structures and Algorithm Design Part II" course is highly relevant for Computer Scientists, providing them with deep insights into advanced data structures and algorithms. It helps them contribute to the advancement of computing theory and practice by developing innovative solutions to complex computational problems.

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Algorithm Engineer

Algorithm Engineers specialize in designing and analyzing algorithms to solve complex computational problems. They develop efficient and innovative algorithms that power various applications, including search engines, recommender systems, and financial modeling. The "Data Structures and Algorithm Design Part II" course is highly relevant for Algorithm Engineers, providing them with a deep understanding of advanced data structures and algorithms. It helps them master techniques for algorithm design and performance analysis, enabling them to excel in this specialized field.

See salaries and explore the career path for Algorithm Engineer

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. They leverage data, algorithms, and statistical techniques to automate decision-making and build intelligent systems. The "Data Structures and Algorithm Design Part II" course can be highly beneficial for Machine Learning Engineers. It provides them with a solid foundation in data structures and algorithms, enabling them to design efficient and scalable machine learning pipelines. They gain expertise in handling large datasets, optimizing models, and evaluating performance, making them valuable assets in the field of machine learning.

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Data Scientist

Data Scientists analyze data to uncover insights and solve business problems. Using advanced statistical techniques and machine learning algorithms, they build data-driven solutions to predict outcomes and optimize decision-making. The "Data Structures and Algorithm Design Part II" course can be immensely valuable for aspiring Data Scientists. It provides a solid foundation in data structures and algorithms, enabling them to design efficient data processing systems and develop robust algorithms for data analysis and modeling.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They play a crucial role in building the technological infrastructure that underpins modern society. The "Data Structures and Algorithm Design Part II" course can significantly benefit Software Engineers by equipping them with advanced techniques for designing and implementing efficient software solutions. It helps them understand the underlying principles of data structures and algorithms, enabling them to create scalable, reliable, and high-performance software.

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Software Architect

Software Architects design and oversee the overall architecture of software systems. They ensure that software systems are scalable, reliable, and maintainable. The "Data Structures and Algorithm Design Part II" course can provide valuable knowledge for Software Architects. It helps them understand the principles and trade-offs involved in designing efficient and effective data structures and algorithms. This knowledge enables them to make informed decisions about system architecture, ensuring that software systems meet the performance and scalability requirements of modern applications.

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Data Analyst

Data Analysts collect, clean, and analyze data to extract meaningful insights and inform decision-making. They play a vital role in helping businesses understand their customers, optimize operations, and make data-driven decisions. The "Data Structures and Algorithm Design Part II" course can enhance the skills of Data Analysts by providing them with advanced techniques for data processing and analysis. It helps them design efficient algorithms for data cleaning, feature engineering, and predictive modeling, enabling them to derive valuable insights from complex datasets.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design and build data pipelines to collect, process, and store large volumes of data. They ensure that data is available, reliable, and accessible for analysis and decision-making. The "Data Structures and Algorithm Design Part II" course may be helpful for Data Engineers who are interested in understanding the data structures and algorithms used in data engineering. It provides them with a foundation in data structures and algorithms, enabling them to design and implement efficient and scalable data pipelines.

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Database Administrator

Database Administrators manage and maintain database systems. They ensure that databases are reliable, secure, and performant. The "Data Structures and Algorithm Design Part II" course can be helpful for Database Administrators by providing them with a deeper understanding of data structures and algorithms used in database systems. This knowledge enables them to optimize database performance, troubleshoot issues, and implement efficient data storage and retrieval strategies.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. The "Data Structures and Algorithm Design Part II" course may be helpful for Quantitative Analysts who are interested in developing and implementing efficient algorithms for financial data analysis. It provides them with a foundation in data structures and algorithms, enabling them to build robust and scalable financial models.

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Web Developer

Web Developers design and develop websites and web applications. They use various programming languages and technologies to create user-friendly and interactive web experiences. The "Data Structures and Algorithm Design Part II" course may be helpful for Web Developers who are interested in building complex and data-intensive web applications. It provides them with a foundation in data structures and algorithms, enabling them to optimize the performance and scalability of their web applications.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. The "Data Structures and Algorithm Design Part II" course may be helpful for Information Security Analysts who are interested in understanding the data structures and algorithms used in security systems. It provides them with a foundation in data structures and algorithms, enabling them to analyze and implement security measures more effectively.

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Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals, white papers, and help files. They explain complex technical concepts in a clear and concise manner. The "Data Structures and Algorithm Design Part II" course may be helpful for Technical Writers who are interested in writing about data structures and algorithms. It provides them with a deep understanding of these concepts, enabling them to communicate them effectively to a wider audience.

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Business Analyst

Business Analysts analyze business processes and systems to identify areas for improvement. They develop solutions to optimize operations and enhance efficiency. The "Data Structures and Algorithm Design Part II" course may be helpful for Business Analysts who are interested in understanding the data structures and algorithms used in business analysis. It provides them with a foundation in data structures and algorithms, enabling them to analyze and improve business processes more effectively.

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UX Designer

UX Designers research and design user interfaces that are user-friendly, efficient, and aesthetically pleasing. They ensure that users have a positive and seamless experience when interacting with digital products and services. The "Data Structures and Algorithm Design Part II" course may be helpful for UX Designers who are interested in understanding the data structures and algorithms used in UX design. It provides them with a foundation in data structures and algorithms, enabling them to design and implement user interfaces that are both functional and visually appealing.

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

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