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

Good to know

Know what's good

, what to watch for

, 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

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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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

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.

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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

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.

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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.

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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.

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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

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.

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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.

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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.

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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.

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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