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[斯坦福大学 编程方法][Stanford: Programming Methodology]

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文件名: ZiJingBT.Stanfor programming methodology.torrent
种子名称: Stanfor programming methodology added
信息: 大小: 4.16 GB | 文件数: 29 | Info Hash: 2eb091968c16fb805e0a50c3a9dcd72647680b3b
类别: 学习 | 由 United (广大站友) 上传于 2010-06-23 10:53:02
活跃度: 做种(0)/下载(0) | 完成下载 (400) (最近一次活动时间 2020-11-24 14:38:52 / 种子活动时间 2020-11-24 14:38:52)
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内容简介: 之前发过这个资源的mp4版本，链接见 http://zijingbt.njuftp.orgstats1.html4678
但是后来发现有很多视频内容有播放问题，并且缺少了第七集和Lecture Notes.因此这里提供完整的 wmv版本。

斯坦福大学的“Stanford Engineering Everywhere ”免费提供学校里最受欢迎的工科课程，给全世界的学生和教育工作者。
得益于这个项目，我们有机会和全世界站在同一个数量级的知识起跑线上。
本课程系列内容来源于斯坦福大学的“Stanford Engineering Everywhere ”项目。

官网地址： http://see.stanford.edu/default.aspx

目前开设的课程有：

Introduction to Computer Science:
Programming Methodology CS106A
Programming Abstractions CS106B
Programming Paradigms CS107

Artificial Intelligence:
Introduction to Robotics CS223A
Natural Language Processing CS224N
Machine Learning CS229

Linear Systems and Optimization:
The Fourier Transform and its Applications EE261
Introduction to Linear Dynamical Systems EE263
Convex Optimization I EE364A
Convex Optimization II EE364B
.................
课程简介：

Introduction to Computer Science | Programming Methodology --CS106A

his course is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing.
Programming Methodology teaches the widely-used Java programming language along with good software engineering principles. Emphasis is on good programming style and the built-in facilities of the Java language. The course is explicitly designed to appeal to humanists and social scientists as well as hard-core techies. In fact, most Programming Methodology graduates end up majoring outside of the School of Engineering.
Prerequisites: The course requires no previous background in programming, but does require considerable dedication and hard work.


Mehran Sahami

I joined the Computer Science Department at Stanford University as Associate Professor (Teaching), Associate Chair for Undergraduate Education, and Director of Educational Affairs. From 2001 to 2006, I also taught in the CS department at Stanford as a Lecturer. From 2002-2007, I was a Senior Research Scientist at Google, where I continue to maintain a consulting appointment in the research group. My research interests include computer science education, machine learning, and information retrieval on the Web. Please see my publications web page for more information.
Previously, I worked for several years as a Senior Engineering Manager at Epiphany. Prior to working at Epiphany, I completed my PhD in the Computer Science Department at Stanford. I was also an undergrad at Stanford and I loved it so much that I didn't want to leave.
Outside of work, I enjoy spending time with family, playing the guitar, going on outdoor excursions, and sleeping (which seems to be getting rarer and rarer these days).
感谢者: 葛荣存, bboycorey, qf129, hanjing, 许黎之, fonepiece, 七宝, SimpleHeart, 131279047, xlsthsj, saltanat, Musketeer, kestory, 冰墨魂, vergelian, hashao, CheshireCat, 风卷残云, JennyChan, jasonmraz, 131180025, zpx, 追梦之旅, harrykkk, george, Hsinchu, xinmaonian, 嘻哈小子, 小北11, 键外人, fireorfire, 七彩乱码, shxstc, oubeichen, ddwan, silverzhao, vinceguo, ccstaff, Harjol, pojieseng, yfcheng, yinshunming, longlongji, dingding9766, liufengdip, 许愿精灵, 木子丹April, , jiangminzhi, sherlockwesker, snaply
(已有 51 人表达了感谢)

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