uuo09

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感兴趣的主题: 数据分析 财经 电影 篮球 美食 金融 生活 文艺青年 摄影

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Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 9 个评论 关注

开始时间: 02/02/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/matrix

简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

Algorithms, Part I (Coursera) 6 个评论 关注

开始时间: 01/22/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partI

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

Programming Languages (Udacity) 2 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs262

简介: This class will give you an introduction to the fundamentals of programming languages. Key concepts include how to specify and process valid strings, sentences and program structures.

Introduction to Guitar (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/guitar

简介: Grasp the essentials needed to begin playing acoustic or electric guitar. You'll learn an easy approach to get you playing quickly, through a combination of exploring the instrument, performance technique, and basic music theory.

The Hardware/Software Interface (Coursera) 7 个评论 关注

开始时间: 06/30/2014 持续时间: 8 weeks

主页: https://www.coursera.org/course/hwswinterface

简介: Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization.

Introduction to Statistics: Inference (edX) 1 个评论 关注

开始时间: 07/19/2013 持续时间: 5 weeks

主页: https://www.edx.org/course/uc-berkeley/stat2-3x/introduction-statistics/825

简介: An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples.

Algorithms: Design and Analysis, Part 1 (Coursera) 5 个评论 关注

开始时间: 10/05/2015 持续时间: 6 weeks

主页: https://www.coursera.org/course/algo

简介: In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.

Algorithms, Part II (Coursera) 5 个评论 关注

开始时间: 03/16/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partII

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

Analysis of Algorithms (Coursera) 1 个评论 关注

开始时间: 03/04/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/aofa

简介: This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st101

简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

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