3.6

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29 ratings

Junhui DENG

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Offered By

Data Structures and Algorithms SpecializationTsinghua University

What you will 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

About this Specialization

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. This specialization explores the principles and methods in the design and implementation of various data structures. You will learn the essential skills for algorithm design and performance analysis. Topics covered by this specialization range from fundamental data structures to recent research results.

Applied Learning Project

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

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

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approximately 6 months to complete

Suggested pace of 5 hours/week

Chinese (Simplified)

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approximately 6 months to complete

Suggested pace of 5 hours/week

Chinese (Simplified)

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 4 Courses in this Specialization

Course1

Course 1

Data Structures and Algorithms (I)

3.0

stars

30 ratings

By learning this course, you will get a comprehensive grasp of vector and list and the ability to use them in solving real problems. By the end of this course, you will be able to evaluate data structures and algorithms in terms of asymptotic complexity, analyze storage/time complexity of iterative/recursive algorithms, implement

vector and list, understand/implement basic sorting algorithms such as Bubblesort, Insertionsort, and Selectionsort, understand/implement search algorithms such as Binary Search, Fibonacci Search, and Interpolation Search, use vector and list in problem-solving. 通过学习本课程，你将得到向量和列表的全面理解以及使用向量和列表解决实际问题的能力。在本课程结束时，你将能够根据渐进复杂度评估数据结构和算法，分析迭代/递归算法的空间/时间复杂度，实现向量和列表，了解/实现基本排序算法（例如冒泡排序、插入排序和选择排序），理解/实现搜索算法（例如二分搜索、斐波那契搜索和插值搜索），使用向量和列表解决问题。

Course2

Course 2

Data Structures and Algorithms (II)

By learning this course, you will get a comprehensive grasp of stack, queue, binary tree, graph and BST structures and algorithms, as well as their applications. By the end of this course, you will be able to understand and implement stack, queue and binary tree, use binary trees to solve problems such Huffman encoding, understand and implement the graph structure as well as related algorithms such BFS, DFS and PFS, understand and implement AVL tree.

Course3

Course 3

Data Structures and Algorithms (III)

By learning this course, you will get a comprehensive grasp of hashing and typical balanced binary search trees, as well as their applications. By the end of this course, you will be able to understand the principle of Hashing, design and implement Hashtables for real problems, understand and implement typical balanced binary search trees such as Splay tree, Red-Black tree as well as B-tree, use BBST to solve various problems such as range query.

Course4

Course 4

Data Structures and Algorithms (IV)

By learning this course, you will get a comprehensive grasp of Priority Queues and string match techniques, as well as their applications. By the end of this course, you will be able to understand/implement Bucketsort, Counting-sort, and Radixsort, understand the principle/implementation/application of different Priority Queues such as complete binary heap and leftist heap, understand and implement Heapsort, understand and implement typical string matching algorithms such as KMP, BM, and Karp-Rabin, implement and analyze advanced selection/sorting algorithms such as Quicksort, QuickSelect, LinearSelect, and Shellsort.

通过学习本课程，你将全面了解优先级队列和字符串匹配技术及其应用。在本课程结束时，你将能够了解/实现桶排序，计数排序和基数排序，了解不同优先级队列的原理/实现/应用，例如完全二叉堆和左倾堆，了解并实现堆排序，了解并实现典型的字符串匹配算法（例如KMP，BM和Karp-Rabin），实现并分析高级选择/排序算法，例如快速排序、快速选择、线性选择和希尔排序。

Instructor

Junhui DENG

Professor

Department of Computer Science and Technology

15,631 Learners

4 Courses

Offered by

Tsinghua University

Free online courses from Tsinghua University

Tsinghua University, founded in 1911, is one of the most prestigious universities in Asia. Tsinghua University consists of 19 schools and 55 departments with faculties in science, engineering, humanities, social sciences, architecture, management, law, medicine, arts and design. As China’s leading institution of advanced learning, Tsinghua is dedicated to excellence in education, research, and social services. Tsinghua has approximately 3,200 faculty members and over 35,000 students, including 3,500 international students from 108 countries. Among its 170,000 alumni are many outstanding scholars, successful entrepreneurs, and distinguished statesmen who have been playing important roles in the development of China.

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
How long does it take to complete the Specialization?
It will take approximately 16 weeks for you to complete the Specialization.
What background knowledge is necessary?
Fundamental computer science and programming skills.
Do I need to take the courses in a specific order?
Yes, you do need to take courses in order.

More questions? Visit the Learner Help Center.

Data Structures and Algorithms Specialization

What you will learn

About this Specialization

Applied Learning Project