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Analytic Combinatorics (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 6 weeks 主页: https://www.coursera.org/course/ac 简介: Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations. |
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Java程序设计 (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 12 weeks 主页: https://www.coursera.org/course/pkujava 简介: 《Java程序设计》课程是使用Java语言进行应用程序设计的课程，针对各专业的大学本科生开设。课程的主要目标有三： 一、掌握Java语言的语法，能够较为深入理解Java语言机制，掌握Java语言面向对象的特点。 二、掌握JavaSE中基本的API，掌握在集合、线程、输入输出、图形用户界面、网络等方面的应用。三、能够编写有一定规模的应用程序，养成良好的编程习惯，会使用重构、设计模式、单元测试、日志、质量管理工具提高代码的质量。 对于学过“计算机基础、计算概论或C语言的学生”尤为适用。 |
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算法基础 (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 8 weeks 主页: https://www.coursera.org/course/spalgo 简介: 本课程内容程涵盖枚举、二分、贪心、递归、深度优先搜索、广度优先搜索、动态规划等基本算法。通过大量的高强度的编程训练，提高动手能力，做到能较为熟练、完整、准确地实现自己设计的程序，为进一步学习其他计算机专业课程，或在其他专业领域运用计算机编程解决问题奠定良好的基础。 |
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Algorithmic Thinking (Part 1) (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 4 weeks 主页: https://www.coursera.org/course/algorithmicthink1 简介: Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. |
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Algorithmic Thinking (Part 2) (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 4 weeks 主页: https://www.coursera.org/course/algorithmicthink2 简介: Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. |
