翻译：王龙(简介并寄信)
修正校定：朱学恒
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麻省理工“开放式课程”计划更新日期：2003年七月
每月发行给麻省理工“开放式课程”计划的使用者及伙伴的电子报
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麻省理工开放式课程电子报 2003年七月号内容：
1. 发布新课程，课程总数已达84门
2. 你们是如何使用麻省理工开放式课程的？
3. 深度探索：课程 6.001
4. 一个常见问题
1. 发布新课程，课程总数已达84门
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麻省理工学院将于2003年9月发布500门课程，正式启动麻省理工开放式课程项目。在7、8、9这几个月中，我们将采用“滚动”发布时间表，以周为单位分批发布新课程到项目网站上。
到目前为止已经发布了三批课程，麻省理工开放性课程网站现在提供84门麻省理工学院的课程－包括在原来50门的基础上新增的34门课程。这些新的课程包括：
媒体艺术和科学(链接到学院主页)
课程 MAS.964 - 互动应用的常识分析
电机工程与计算机科学
课程6.001 -计算机程式的架构与解译
课程6.041 -概率系统分析与应用
课程 6.231 - 动态编程与随机控制
课程6.251J - 数学编程导论
课程6.252J -非线性编程
课程6.263J- 数据通讯网络
课程6.763 – 超导应用
课程6.821 – 程序语言
课程6.838 – 计算机动画的运算法则
物理学
课程8.324 - 量子场论II
脑与认知科学
课程9.00P - 心理学导论(Steven Pinker教授)
课程 9.00W - 心理学导论(Jeremy Wolfe教授)
课程 9.01 – 神经科学与行为
课程 9.02 – 脑部研究实验
课程 9.03 – 学习和记忆的神经系统基础
课程 9.081 – 人类记忆和学习
课程 9.14 – 哺乳动物的脑结构和发育
课程 9.15 -突触传递的生化学与药理学
课程 9.16 – 细胞神经生理学
课程 9.19J –认知和行为遗传学
课程 9.35 – 感觉与直觉
课程 9.357 – 视觉科学特论
课程 9.59J – 语言心理学
课程 9.591J – 语言处理
课程 9.74 – 人类学习和记忆基础理论
城市研究和规划
课程 11.122 – 环境与社会
课程 11.124 – 数学和科学的教与学入门指南
课程 11.204 – 规划、沟通和数字媒体
课程 11.431J – 不动?财务与投资
史隆管理学院
课程 15.224 - 全球市场、国家政策与企业竞争优势
课程 15.351 – 管理创新流程
课程 15.812 – 市场管理
课程15.835 – 创业营销
想获取完整的麻省理工开放式课程课程列表，请访问完整课程列表。往后可在由麻省理工开放式课程计划负责更新的电子报中获得新课程的消息。
2. 你们是如何使用麻省理工开放式课程的？
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我们希望全世界的教师将能利用麻省理工开放式课程网站提供的课程资源进行课程开发，自学者可以用来自学或其他辅助用途。
随着我们不断努力，网站将在2003年9月发布总数达500门课程，麻省理工开放式课程的员工将非常关注项目网站的评估和测量。我们将尝试回答这些问题：网站的课程资源访问情形怎样？人们是怎样使用这些资源的？麻省理工开放式课程项目产生的影响是什么？教师们能改编麻省理工开放式课程课程资源用于自己的教学吗？
为了建立用户的案例研究，我们邀请并希望您能和我们分享你的故事。告知我们你是怎样使用麻省理工开放式课程课程资源的。如果您愿意分享您的故事，请联络Jon Paul Potts，麻省理工开放式课程联络主管：jpotts@mit.edu。
3. 深度探索：课程 6.001
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这份电子报每月会提供订户一份针对特定主题的深度指导。本月，我们将深入研究课程 6.001: 计算机程式的架构与解译。这门课程来自麻省理工学院的电机工程与计算机科学学院(EECS)的Eric Grimson 教授，也是EECS学院面向所有本科生开设的首门核心课程。
课程介绍了关于计算的基本原理。修完6.001课程后，学生们将能解释和应用编程语言的基本方法来分析计算系统，获得抽象结算问题的解?方法。编程作业安排包括“我该如何完成我的项目”的基本描述。
Grimson教授的课程讲稿是PDF文档，包括以下主题：数据转化、物件导向程式设计、元循环求值程序、和记忆体管理。
在课程的工具区提供了Scheme 文件，包括MIT Scheme 手册，更新的MIT Scheme 参考手册列出了所有的命令-关于算法语言的修订报告(第四版)、关于图式语言正式定义、了解一种语言是如何规范描述的、你将觉得非常有趣,但是这并不是6.001课程必须掌握的内容。
4. 一个常见问题
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问：麻省理工学院有在实验任何其它的教育科技吗？
答：麻省理工学院正进行几个相当有野心的计划来透过新科技把教育过程改变及加强。这些计划都是由麻省理工学院的教育技术委员会(MIT Council on Educational Technology)推动和支援。I-Campus计划是一个麻省理工学院和微软研究部门(Microsoft Research)合作的计划，Alex 与 Brit d'Arbeloff 基金则是资助了提升麻省理工学院教育计划（连结）。麻省理工学院也参与了几个世界各地的远距学习计划。未来这些用来支援上述计划的技术也会被用来提升麻省理工学院“开放式课程网页”的资料。这些计划包括了StudioMIT, Singapore-MIT Alliance (SMA), MIT's System Design and Management Program (SDM), and theCambridge-MIT Institute (CMI)。
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The MIT OpenCourseWare Update: July 2003
A Monthly E-mail Newsletter for Users
and Friends of MIT OpenCourseWare
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The July 2003 MIT OpenCourseWare Update Contains:
1. New Courses Bring Total to 84
2. How Are You Using MIT OCW?
3. Digging Deeper: Course 6.001
4. A Frequently Asked Question
1. New Courses Bring Total to 84
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The official launch of MIT OpenCourseWare, with the publication of approximately 500 courses, will take place in September 2003. However, during the months of July, August, and September, we will employ a "rolling" publication schedule, releasing batches of new courses to the public site on a weekly basis.
There have been three such batch releases thus far, and the MIT OCW Web site now offers the course materials from 84 MIT subjects- including 34 new additions to the original 50 subjects of the MIT OCW pilot. These new courses include:
Media Arts and Sciences(link to department home page)
Course MAS.964 - Common Sense Reasoning to Interactive Applications
Electrical Engineering and Computer Science
Course 6.001 - Structure and Interpretation of Computer Programs
Course 6.041 - Probabilistic Systems Analysis and Applied Probability
Course 6.231 - Dynamic Programming and Stochastic Control
Course 6.251J - Introduction to Mathematical Programming
Course 6.252J - Non-Linear Programming
Course 6.263J - Data Communication Networks
Course 6.763 - Applied Superconductivity
Course 6.821 - Programming Languages
Course 6.838 - Algorithms for Computer Animation
Physics
Course 8.324 - Quantum Field Theory II
Brain and Cognitive Sciences
Course 9.00P - Introduction to Psychology (Professor Steven Pinker)
Course 9.00W - Introduction to Psychology (Professor Jeremy Wolfe)
Course 9.01 - Neuroscience and Behavior
Course 9.02 - Brain Laboratory
Course 9.03 - Neural Basis of Learning and Memory
Course 9.081 - Human Memory and Learning
Course 9.14 - Structure and Development of the Mammalian Brain
Course 9.15 - Biochemistry and Pharmacology of Synaptic Transmission
Course 9.16 - Cellular Neurophysiology
Course 9.19J - Cognitive and Behavioral Genetics
Course 9.35 - Sensation and Perception
Course 9.357 - Special Topics in Vision
Course 9.59J - Psycholinguistics
Course 9.591J - Language Processing
Course 9.74 - Foundations of Human Memory and Learning
Urban Studies and Planning
Course 11.122 - Environment and Society
Course 11.124 - Introduction to Teaching and Learning Mathematics and Science
Course 11.204 - Planning, Communications, and Digital Media
Course 11.431J - Real Estate Finance and Investment
Sloan School of Management
Course 15.224 - Global Markets, National Politics, and the Competitive Advantage of Firms
Course 15.351 - Managing the Innovation Process
Course 15.812 - Marketing Management
Course 15.835 - Entrepreneurial Management
For a complete list of all MIT OCW courses, visit our complete course list. Look for notice of new courses in subsequent issues of "The MIT OpenCourseWare Update" email newsletter.
2. How You Are Using MIT OCW?
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The hope is that educators around the world will be able to utilize the course materials presented on the MIT OCW Web site for curriculum development, and self-learners will be able to draw upon the materials for self-study or supplementary use.
As we move forward to the publication of the course materials from 500 more MIT subjects in September 2003, the staff of MIT OCW is focused on evaluation and measurement of the MIT OCW Web site. We are trying to answer such questions as: How accessible are the MIT OCW course materials? How are people using the materials? What is the impact of MIT OCW? Are educators able to adapt MIT OCW materials for their own teaching?
We would like to ask you to share your story with us for the purposes of developing user case studies. Tell us how you are using the MIT OCW materials. Please contact Jon Paul Potts, the MIT OCW Communications Manager, at jpotts@mit.edu, if you would like to share your case study.
3. Digging Deeper: Course 6.001
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Each month, this newsletter offers subscribers an in-depth guide to one particular subject. This month, we delve into "Course 6.001: Structure and Interpretation of Computer Programs." This course, from MIT Professor Eric Grimson of MIT's Department of Electrical Engineering and Computer Science (EECS), is the first course in the core of departmental subjects required for all undergraduates in EECS.
The course introduces students to the principles of computation. Upon completion of 6.001, students should be able to explain and apply the basic methods from programming languages to analyze computational systems, and to generate solutions to abstract computational problems. Programming assignments - including a description of "How should I write up my projects?" are described in the section.
Topics from Professor Grimson's Lecture Notesare in PDF format and include topics such as,Data Mutation, Object-Oriented Programming,The Meta-circular Evaluator, and Memory Management.
There are also explanations of "Scheme Documentation" under the Toolssection, including a Guide to MIT Scheme, Updated- the reference manual for MIT Scheme, listing all the commands - and the Revised (4) Report on the Algorithmic Language Scheme, the formal definition of the Scheme language. It will be interesting for you to look at how a language is described formally, but you should not need to consult this for 6.001.
4. A Frequently Asked Question
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Q: Are there other experiments in educational technology underway at MIT?
A: MIT is undertaking a number of ambitious projects to enhance and potentially transform the educational experience through the use of new technologies. These projects are stimulated and supported by the MIT Council on Educational Technology, by Project I-Campus, a collaboration between MIT and Microsoft Research, and by the Alex and Brit d'Arbeloff Fund for Excellence in MIT Education. MIT is also engaged in several collaborative and distance-learning projects around the world. In the future the technologies that are being developed to support these efforts may also be utilized to enhance MIT OCW materials. Some of these projects include StudioMIT, the Singapore-MIT Alliance (SMA), MIT's System Design and Management Program (SDM), and the Cambridge-MIT Institute (CMI).
