【长期加分贴】介绍和点评你上过的公开课

现在网上的公开课资源很多了，但是相同或者类似的课程很多，让人很难抉择。还有很多好的资源没有被发现。

欢迎跟过公开课(不一定要全部跟完)的同学贡献信息，介绍你上过的公开课，给后来想跟课的同学一个参考，加分多多哦~~

要求包括以下内容：

1. 课程的基本信息：课程平台，开课学校，课程全名，开课时间，课程链接。

2. 课程难度，作业量，每周花在这门课的时间，以及你的基础(是初学者？还是本来就是你的专业内容？)

3. 各种感想、收获、课程内容介绍、你对这门课的评价等等~~这个就自己发挥啦（请具体！）

4. 如果让你重新学过这门课，你会在学习方法上，背景提升上会有什么样的改进(选答)

5. 这门课和其他你跟过的课，用过的资源或者是学校上过的课有什么区别？(选答，如果你还跟过其他类似的课的话)

6. 给以后打算学这门课的同学一些建议（请具体！可包括任何方面）



课程平台不限，Coursera, Udacity, edX, Stanford Online(openEdX), Stanford SEE, MIT OCW, UCB webcast, udemy, code school, codecademy, MongoDB University, NovoEd, Khan Academy等等都行，只要你跟过，不一定全部跟完，分享资讯都可以获得加分！

请大家直接回复到下面，版主会过来加分~

评论列表 (更新至220L)

• Data Structures @Berkeley
  
  
• Introduction to Computer Science and Programming: Using Python @MIT
  
  
• Algorithms @Princeton
  
  
• Algorithms: Design and Analysis @Stanford
  
  
• Data Structures and Algorithm Design @Tsinghua
  
  
• Developing iOS 7 Apps for iPhone and iPad @Stanford
  
  
• Python @Codecademy
  
  
• Full Stack Web Development Specialization Capstone Project @HKUST
  
  
• Algorithms @Princeton
  
  
• Probabilistic Graphical Model @Stanford
  
  
• Control of Mobile Robots @GeorgiaTech
  
  
• Data Analysis @JHU
  
  
• Learn to Program @UToronto
  
  
• Introduction to Finance @UMich
  
  
• Computing for Data Analysis @JHU
  
  
• Positive Psychology @Harvard
  
  
• Applications in Engineering Mechanics @GeorgiaTech
  
  
• Learn to Program @UToronto
  
  
• Computer Networks @UW-Seattle
  
  
• An Introduction to Interactive Programming in Python @Rice
  
  
• Linear Algebra @MIT
  
  
• Machine Learning @Stanford
  
  
• Computational Neuroscience @UW-Seattle
  
  
• Listening to Music @Yale
  
  
• Introduction to Algorithms @MIT
  
  
• Linear Algebra @MIT
  
  
• Human Behavioral Biology @Stanford
  
  
• Probabilistic Graphical Models @Stanford
  
  
• Intro to Computer Science @Udacity
  
  
• Intro to Artificial Intelligence @Udacity
  
  
• Intro to Data Science @Udacity
  
  
• Programming Methodology @Stanford
  
  
• Neural Networks for Machine Learning @UToronto
  
  
• Financial Engineering and Risk Management @Columbia
  
  
• Fundamentals of Clinical Trials @Harvard
  
  
• Programming Languages @UW-Seattle
  
  
• Programming Languages @UW-Seattle
  
  
• Introduction to Computer Network @Stanford
  
  
• Developing iOS 7 Apps for iPhone and iPad @Stanford
  
  
• Image and Video Processing: From Mars to Hollywood with a stop at the hospital @Duke
  
  
• 程序设计实习 @PKU
  
  
• Introduction to Statistic Learning @Stanford
  
  
• Financial Markets @Yale
  
  
• Game Theory @Yale
  
  
• Introduction to Psychology @Yale
  
  
• Natural Language Processing @Columbia
  
  
• Gamification @UPenn
  
  
• Machine Learning @Stanford
  
  
• Asset Pricing @UChicago
  
  
• Data Analysis and Statistical Inference @Duke
  
  
• Intro to Java Programming @SJSU
  
  
• Algorithms @Princeton
  
  
• Networks, Crowds, and Markets @Cornell
  
  
• Machine Learning @Stanford
  
  
• Design: Creation of Artifacts in Society @UPenn
  
  
• Think Again: How to Reason and Argue @Duke/UNC
  
  
• R Programming @JHU
  
  
• 欧洲简史，美国简史 @Khan Academy
  
  
• Computing for Data Analysis @JHU
  
  
• Machine Learning @Stanford
  
  
• Intro to Computer Science @Udacity
  
  
• Financial Markets @Yale
  
  
• Machine Learning @Stanford
  
  
• Linear and Integer Programming @Colorado
  
  
• Programming for Everybody (Python) @UMich
  
  
• Introduction to Power Electronics @Colorado
  
  
• Probabilistic Graphical Models @Stanford
  
  
• The Fourier Transform and Its Applications @Stanford
  
  
• Machine Learning @Stanford
  
  
• Human Computer Interaction @UCSD
  
  
• Positive Psychology @Harvard
  
  
• Cryptography @Stanford
  
  
• Data Analysis and Statistical Inference @Duke
  
  
• Programming for Everybody (Python) @UMich
  
  
• Machine Learning @Stanford
  
  
• Algorithms Design and Analysis @Stanford
  
  
• 中国古代历史与人物——秦始皇 @NTU
  
  
• Algorithm: Design and Analysis @Stanford
  
  
• Internet History, Technology, and Security @UMich
  
  
• R Programming @JHU
  
  
• Introduction to Computer Science @Harvard
  
  
• Data Analysis and Statistical Inference @Duke
  
  
• Algorithmic Thinking @Rice
  
  
• 计算机网络概论 @台湾清华大学
  
  
• An Introduction to Interactive Programming in Python @Rice
  
  
• Principles of Computing @Rice
  
  
• Algorithmic Thinking @Rice
  
  
• Introduction to Power Electronics @Colorado
  
  
• 数据结构 @ZJU
  
  
• Software Security @UMD
  
  
• Introduction to Algorithm @MIT
  
  
• 中国古代历史与人物——秦始皇 @NTU
  
  
• PaulProgramming @YouTube
  
  
• 机器学习技法 @NTU
  
  
• Algorithms: Design and Analysis @Stanford
  
  
• Introduction to Computer Science @Harvard
  
  
• Principles of Computing @Rice
  
  
• Game Theory @Stanford
  
  
• Intro do Computer Science @Udacity
  
  
• Intro to Relational Database @Udacity
  
  
• Programming Methodology @Stanford
  
  
• Introduction to Computer Science and Programming: Using Python @MIT
  
  
• Linear Algebra @MIT
  
  
• Data Structures @Tsinghua
  
  
• Statistical Mechanics: Algorithms and Computations @巴黎高师
  
  
• Algorithms @Princeton
  
  
• Machine Learning @Stanford
  
  
• Programming Languages @UW-Seattle
  
  
• Algorithms: Design and Analysis @Stanford
  
  
• Convolutional Neural Networks for Visual Recognition @Stanford
  
  
• Medical Image Analysis @SJTU
  
  
• Design and Analysis of Algorithms @MIT
  
  
• Programming for Everybody (Getting Started with Python) @UMich
  
  
• R Programming @JHU
  
  
• Introduction to Programming with Matlab @Vanderbilt
  
  
• Programming Mobile Applications for Android Handheld Systems @UMD
  
  
• R programming @JHU
  
  
• 機器學習技法 @NTU
  
  
• Financial Markets @Yale
  
  
• Introduction to Algorithms @MIT
  
  
• Object Oriented Programming in Java @UCSD
  
  
• Full Stack Web Development @HKUST
  
  
• An Introduction to Interactive Programming in Python @Rice
  
  
• An Introduction to Interactive Programming in Python @Rice
  
  
• The Analytics Edge @MIT
  
  
• Full Stack Web Development @HKUST
  
  
• Machine Learning @Stanford
  
  
• Convex Optimization @CMU
  
  
• Intro to Programming @Udacity
  
  
• Programming Methodology @Stanford
  
  
• Machine Learning @Stanford
  
  
• Introduction to Computer Network @Stanford
  
  
• Machine Learning @Stanford
  
  
• Model Thinking @UMich
  
  
• Deep learning @Udacity
  
  
• Intro to Parallel Programming @Udacity
  
  
• Algorithms @Princeton
  
  
• Data Structures and Algorithm Design @Tsinghua
  
  
• Machine Learning @Stanford
  
  
• Build Web Apps with React JS and Flux @Udemy
  
  
• Introduction of Forensic Science @NTU Singapore
  
  
• Algorithms: Design and Analysis @Stanford
  
  
• Machine Learning @Stanford
  
  
• Introduction to Computer Systems @CMU
  
  
• Programming Abstractions @Stanford
  
  
• Functional Program Design in Scala @EPFL
  
  
• Linear and Integer Programming @Colorado
  
  
• An Introduction to Interactive Programming in Python @Rice
  
  
• Algorithms @Princeton
  
  
• Data Manipulation at Scale: Systems and Algorithms @UW-Seattle
  
  
• The Complete Web Developer Course - Build 14 Websites @Udemy
  
  
• Data Analyst Nanodegree @Udacity
  
  
• Introduction to Programming with MATLAB @Vandebilt
  
  
• The R Programming Environment @JHU
  
  
• Machine Learning for Trading @GeorgiaTech
  
  
• 用Python做数据分析 @NJU
  
  
• Positive Psychology @Harvard
  
  
• Google's Python Class @Google
  
  
• Machine Learning @Stanford
  
  
• Introduction to Functional Programming @TU Delft
  
  
• Python for Everybody @UMich
  
  
• The Web Developer Bootcamp @Udemy
  
  
• The Python Mega Course @Udemy
  
  
• Introduction to Negotiation @Yale
  
  
• Open Security Training @CMU