Data Structures and Algorithm Design Part I

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 I" is an introductory course focusing on basic data structures, including vectors, lists, stacks, queues, binary trees, and graphs. They are important in programming practice, as well as fundamental to our advanced course: "Part II."

Data structures are a key component of computer science and a necessary foundation for building efficient algorithms. The knowledge it covers has always been at the core of the curriculum system of related majors. This course aims to focus on the design and implementation of various data structures and reveal the regular principles and methods and techniques; at the same time, it aims to enable students to understand and master the main routines and techniques for algorithm design and performance analysis. The topics taught range from basic data structures to recent research results. This semester's Data Structure (Part 1) is an introductory course on data structures, focusing on basic data structures such as vectors, lists, stacks, queues, binary trees, graphs, etc. Structure (Part 2)" provides the basis. For more detailed introduction, please see: http://dsa.cs.tsinghua.edu.cn/~deng/ds/mooc/, or check the FAQ column after joining this course.

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

Design and implementation of data structures
Reveal the laws, principles, methods and techniques
Understand and master the main routines and techniques

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
Design and implementation of data structures
Reveal the laws, principles, methods and techniques
Understand and master the main routines and techniques

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores data structures and algorithms, which are fundamental to computer science and related fields

Taught by Junhui Deng, a recognized expert in the field of data structures and algorithm design

Develops skills for algorithm design and performance analysis, which are in high demand in industry

Part of a larger course series on data structures, providing a comprehensive foundation in the subject

Examines recent research results in data structures, keeping learners up-to-date with the latest advancements

Emphasizes the principles and methods in the design and implementation of various data structures

Reviews summary

数据结构与算法：扎实基础与挑战并存

根据学生反馈，这门由邓俊辉老师主讲的数据结构与算法（上）课程质量极高，老师讲解非常清晰且深入浅出，使得复杂概念易于理解。课程内容丰富、体系完整，为学习者提供了扎实的基础。课程的作业量较大且非常有挑战性，虽然对部分没有C++或编程基础的同学来说有一定难度，但大多数学生认为这些作业能有效巩固知识、锻炼思维。整体而言，这是一门理论与实践结合的优秀入门课程，但需要学习者投入相当的时间和精力。

课程内容扎实且体系完整，能为数据结构和算法学习打下坚实可靠的基础。

"这门课为我打下了坚实的数据结构基础，非常感谢邓老师！"

"非常推荐！课程内容很扎实，跟着老师的思路走，一定会有很大的收获！"

"作为数据结构的入门课程，内容非常扎实。"

"课程内容安排合理，知识点由浅入深，基础很扎实。"

作业难度较大，但能有效帮助理解和巩固知识，锻炼编程思维。

"作业挺难的，但做了下来后发现收获是极大的，能够很有效地帮你理解和巩固知识。"

"课程质量很高，作业很有挑战性，对我帮助很大，推荐！"

"作业量大，难度高，需要非常多时间完成。"

"虽然作业很难，但是能够切实帮助我们理解概念，训练思维能力。"

邓俊辉老师讲解清晰，条理分明，让复杂概念易于理解，学生普遍表示受益匪浅。

"邓老师讲的真好，把复杂的问题讲的很清晰，而且会从不同的角度分析和解决问题。"

"老师讲的非常好，知识点串联讲解，条理非常清晰，听着很舒服。"

"非常好的课程，老师讲的特别清楚！思路很清晰。"

"邓老师的课真的深入浅出，理论性实践性兼备，收获很大。"

课程默认学习者已掌握一定的C++编程技能，这对于顺利完成学习至关重要。

"课程内容很好，对于有编程基础的人来说，能打下很好的基础。但对没有编程经验的不太友好。"

"课程非常棒，但是需要一定的c++基础才能更好的学习。"

"对没有C++基础的同学不是很友好，需要额外的时间去学习。"

"这门课默认了学生有足够的C++预备知识，需要一定基础的同学选修。"

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 I | 数据结构与算法设计(上) with these activities:

Create a mind map of data structures

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Creating a mind map is a visual way to organize and understand the relationships between different data structures.

Browse courses on Data Structures

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Identify the main categories of data structures.
Create branches for each category.
Add sub-branches for specific types of data structures.
Connect related data structures with lines or arrows.

Join a study group

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Joining a study group will provide you with opportunities to discuss the course material, ask questions, and learn from your peers.

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Find a study group or create your own.
Set regular meeting times and stick to them.
Take turns leading the discussion.
Share your notes and resources.

Practice solving coding challenges

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Practicing coding challenges will improve your problem-solving skills and your ability to apply data structures and algorithms.

Browse courses on Algorithm Design

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Find a website or platform that offers coding challenges.
Start with easy challenges and gradually work your way up to more difficult ones.
Don't be afraid to ask for help if you get stuck.
Analyze your solutions and identify areas for improvement.

Two other activities

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Show all five activities

Compile a master review document

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Compiling a master review document will help you to organize and synthesize the course material.

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Gather your notes, assignments, quizzes, and exams.
Organize the materials into logical sections.
Highlight the most important concepts and ideas.
Add your own summaries and explanations.

Contribute to an open-source data structures project

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Contributing to an open-source project will help you develop your programming skills and learn from others.

Browse courses on Data Structures

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Find a project that you are interested in.
Read the project documentation and get familiar with the codebase.
Start by making small contributions, such as fixing bugs or adding new features.
Get feedback from other contributors and the project maintainers.

Career center

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

Machine Learning Engineer

Machine learning engineers design, develop, and deploy machine learning algorithms. This course provides a foundation in data structures and algorithms, which are essential for building and evaluating machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms to solve complex problems. This course can teach you the principles and methods used to design and implement these algorithms.

See salaries and explore the career path for Algorithm Developer

Software Engineer

Software engineers design, develop, test, and maintain software systems. In most roles, you'll be designing algorithms to solve complex problems in areas like machine learning, data science, or mobile app development. This course can help prepare you for this work by teaching you core data structures and algorithms.

See salaries and explore the career path for Software Engineer

Artificial Intelligence Engineer

An artificial intelligence engineer designs and implements artificial intelligence algorithms. This course can provide you with a foundation in the data structures and algorithms used in this field.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Scientist

A data scientist designs algorithms that uncover patterns in data. You can use this course to learn the principles and methods used to design and implement these algorithms. The course also teaches ways to analyze algorithm performance, a key skill in this field.

See salaries and explore the career path for Data Scientist

Computer Architect

A computer architect designs and implements computer systems. This course can teach you about the data structures and algorithms used to design and implement these systems.

See salaries and explore the career path for Computer Architect

Operations Research Analyst

An operations research analyst uses mathematical and analytical techniques to solve complex problems in business and industry. This course provides a foundation in the algorithms and data structures used in this field.

See salaries and explore the career path for Operations Research Analyst

Cryptographer

A cryptographer designs and implements cryptographic algorithms. This course can provide you with a foundation in the algorithms and data structures used in this field.

See salaries and explore the career path for Cryptographer

Information Security Analyst

An information security analyst designs and implements information security systems. This course can teach you about the data structures and algorithms used to protect data and systems from unauthorized access.

See salaries and explore the career path for Information Security Analyst

Quantitative Analyst

A quantitative analyst designs and implements mathematical models to analyze financial data. This course can help you build a foundation in the algorithms and data structures used in this field.

See salaries and explore the career path for Quantitative Analyst

Data Analyst

A data analyst is someone who transforms raw data into meaningful insights that inform business decisions. You can use this course to learn how algorithms and data structures can be used to automate processes and identify patterns in data.

See salaries and explore the career path for Data Analyst

Big Data Architect

A big data architect designs and implements big data systems. This course can teach you about the data structures and algorithms used to store and process large amounts of data.

See salaries and explore the career path for Big Data Architect

Database Administrator

A database administrator designs, implements, and maintains database management systems. This course can teach you about the data structures and algorithms used to store and retrieve data efficiently.

See salaries and explore the career path for Database Administrator

Computational Scientist

A computational scientist uses computers to solve complex problems in science and engineering. This course can provide you with a foundation in the algorithms and data structures used in this field.

See salaries and explore the career path for Computational Scientist

Software Tester

A software tester designs and executes tests to ensure software quality. This course can teach you about the data structures and algorithms used to test software.

See salaries and explore the career path for Software Tester