数据结构与算法 專項課程

於 Sep 20 開始

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:

courses
6 courses

按照建議的順序或選擇您自己的順序。

projects
項目

旨在幫助您實踐和應用所學到的技能。

certificates
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.
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

製作方

  • University of California San Diego

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Faculty at the Computer Science and Engineering Department at UCSD are among the leaders in the field of algorithms, bioinformatics, cryptography, machine learning, and many other areas of computer science.

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.

  • National Research University Higher School of Economics

    Faculty of Computer Science (http://cs.hse.ru/en/) trains developers and researchers. The programme has been created based on the experience of leading American and European universities, such as Stanford University (U.S.) and EPFL (Switzerland). Also taken into consideration when creating the faculty was the School of Data Analysis, which is one of the strongest postgraduate schools in the field of computer science in Russia. In the faculty, learning is based on practice and projects.

    National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru

  • Daniel M Kane

    Daniel M Kane

    Assistant Professor
  • Pavel  Pevzner

    Pavel Pevzner

    Professor
  • Michael Levin

    Michael Levin

    Lecturer
  • Neil Rhodes

    Neil Rhodes

    Adjunct Faculty
  • Alexander S. Kulikov

    Alexander S. Kulikov

    Visiting Professor

FAQs