吴小毛_FAFU

青椒,宅,2.5次元怪蜀黍。

福建 福州

感兴趣的主题: 动漫 摄影 电影 80后 美食 旅行

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组合数学 (学堂在线) 0 个评论 关注

开始时间: 04/10/2014 持续时间: 未知

主页: https://www.xuetangx.com/courses/TsinghuaX/60240013X/_/about

简介: 组合数学是计算机出现以后迅速发展起来的一门数学分支,主要研究离散对象的存在、计数以及构造等方面问题。由于计算机软件的促进和需求,组合数学已成为一门既广博又深奥的学科,其发展奠定了本世纪的计算机革命的基础,并且改变了传统数学中分析和代数占统治地位的局面。本课程从排列组合的基本概念出发,系统介绍了有关组合计数的理论和方法,主要内容包括计数的基本法则、母函数与递推关系、鸽巢原理和容斥原理、波利亚计数定理。这虽然是一门研究生课程,但是学习者只需要具备初等的数理知识就可以开始学习。我们将从基础的排列组合开始,逐步深入了解计数问题的不同解决思路,通过对现实生活中计数问题的演绎和学生们共同体会组合计数问题不断抽象深入的挖掘过程,引导学生共同感受数学知识的精妙,从而深入理解组合数学对计算机理论发展的推动作用。

Competitive Strategy (Coursera) 1 个评论 关注

开始时间: 04/11/2014 持续时间: 6 weeks

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

简介: In this six-week course you will learn how firms behave in situations in which strategic decisions are interdependent, i.e. where my actions affect my competitors' profits and vice versa. Using the basic tools of game theory, we will analyze how firms choose strategies to attain competitive advantage.

English Composition I: Achieving Expertise (Coursera) 1 个评论 关注

开始时间: 09/22/2014 持续时间: 12 weeks

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

简介: You will gain a foundation for college-level writing valuable for nearly any field. Students will learn how to read carefully, write effective arguments, understand the writing process, engage with others' ideas, cite accurately, and craft powerful prose. We will create a workshop environment.

Data Analysis and Statistical Inference (Coursera) 1 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

Introduction to Recommender Systems (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course introduces the concepts, applications, algorithms, programming, and design of recommender systems--software systems that recommend products or information, often based on extensive personalization. Learn how web merchants such as Amazon.com personalize product suggestions and how to apply the same techniques in your own systems!

機器學習基石 (Machine Learning Foundations) (Coursera) 10 个评论 关注

开始时间: 09/08/2015 持续时间: 8 weeks

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

简介: Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

DNA: Biology’s Genetic Code (edX) 0 个评论 关注

开始时间: 待定 持续时间: 6 weeks

主页: https://www.edx.org/course/dna-biologys-genetic-code-ricex-bioc300-2x

简介: DNA carries the defining data for life in a simple genetic code that comes with its own “back-up” system. Explore DNA structure with us!
 

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.

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.

DNA: Biology’s Genetic Code (edX) 0 个评论 关注

开始时间: 待定 持续时间: 6 weeks

主页: https://www.edx.org/course/dna-biologys-genetic-code-ricex-bioc300-2x-0

简介: Learn about DNA, the defining data for life in a simple genetic code.

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