数据结构与算法 專項課程
Master Algorithmic Programming Techniques。 Learn algorithms through programming and advance your software engineering or data science career
本專項課程介紹
The Specialization covers algorithmic techniques for solving problems arising in computer science applications. It is a mix of theory and practice: you will not only design algorithms and estimate their complexity, but you will get a deeper understanding of algorithms by implementing them in the programming language of your choice (C, C++, C#, Haskell, Java, JavaScript, Python2, Python3, Ruby, and Scala).
This Specialization is unique, because it offers two real-world projects. Advanced Shortest Paths project is offered in the end of the Algorithms on Graphs course. In this project, you'll deal with road network analysis and social network analysis. You'll learn how to compute the fastest route between New York and Mountain View thousands of times faster than classic algorithms and close to those used in Google Maps. Through Genome Assembly culminating project at the end of the Specialization, you'll learn how to assemble genomes from millions of short pieces and how algorithms fuel recent developments in personalized medicine.
製作方：
行業合作夥伴：
6 courses
按照建議的順序或選擇您自己的順序。
項目
旨在幫助您實踐和應用所學到的技能。
證書
在您的簡歷和領英中展示您的新技能。
課程
- Intermediate Specialization.
- Some related experience required.
第 1 門課程
Algorithmic Toolbox
- 課程學習時間
- 5 weeks of study, 4-8 hours/week
- 字幕
- English, Spanish
課程概述
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: h您可以選擇只參加本課程。 了解更多。
第 2 門課程
Data Structures
- 課程學習時間
- 4周的学习时间，每周需花费3-5小时
- 字幕
- English
課程概述
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will您可以選擇只參加本課程。 了解更多。
第 3 門課程
Algorithms on Graphs
- 課程學習時間
- 5 weeks of study, 3-4 hours/week
- 字幕
- English
課程概述
If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, s您可以選擇只參加本課程。 了解更多。
第 4 門課程
Algorithms on Strings
- 課程學習時間
- 4 weeks of study, 4-8 hours/week
- 字幕
- English
課程概述
World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make s您可以選擇只參加本課程。 了解更多。
第 5 門課程
Advanced Algorithms and Complexity
- 課程學習時間
- 4 weeks of study, 4-8 hours/week
- 字幕
- English
課程概述
You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more ty您可以選擇只參加本課程。 了解更多。
第 6 門課程
Genome Assembly Programming Challenge
- 字幕
- English
課程概述
In Spring 2011, thousands of people in Germany were hospitalized with a deadly disease that started as food poisoning with bloody diarrhea and often led to kidney failure. It was the beginning of the deadliest outbreak in recent history, caused by a myste您可以選擇只參加本課程。 了解更多。
製作方
Daniel M Kane
Assistant Professor
Pavel Pevzner
Professor
Michael Levin
Lecturer
Neil Rhodes
Adjunct Faculty
Alexander S. Kulikov
Visiting Professor
FAQs
More questions? Visit the Learner Help Center.
