“Nand2Tetris Engine Curriculum”版本间的差异
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公告板使用说明： | 公告板使用说明： | ||
| − | =逻辑模型= | + | =逻辑模型 Logic Model= |
| − | + | '''For now, we will use textual description to present the Logic Model. Overtime, this will be changed to a graphical model.''' | |
| − | ''' | + | |
| − | + | ==背景 Background== | |
| − | + | '''基于[http://shimonschocken.com Shimon Schocken|]和[[wikipedia:Noam Nisan|Noam Nisan]] 教授两位所开发的[http://nand2Tetris.org Nand2Tetris]课程，把信息技术的分层知识结构，用群体学习的基本规律，开发成一个联系实体世界与群体意识的可重组学习模块。''' | |
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| − | + | The course: Nand2Tetris is a course developed by Prof. Noam Nisan and Prof. Shimon Schocken, who created a set of lectures and test scripts, along with a Q&A website that supports learning. We will try to leverage these supports to create a new layer of annotation and content extension, so that students who take this online course can get additional support using tools other than the ones currently provided by the Nand2Tetris website and its Q&A website. | |
| − | == | + | ==长期目标 Long Term Goal == |
| − | + | To provide a generalized course framework that allows learners to incrementally build up their understanding of arbitrary systems or fields using layers of abstractions. We will have learners use a set of vocabulary management tools, such as the logic gates in the Nand2Tetris course as the building blocks of their grounding metaphors, to elevate their learning skills by creating a conscious path to the very basics. Knowing that all systems or scientific content must have its grounding metaphors. Clearly, we will also ground the term:"Metaphors" using a rather formal definition. This is to be developed with this course as we learn that logic gates are also a kind of "function" which is a simple kind of metaphor between boolean values. | |
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| − | + | ==学习目标 Learning Objectives== | |
| + | There are some basic learning objectives | ||
| + | #Have participants build some systems in the process of learning new concepts. Eventually building a entire computer, that is Turing Complete, and can do a lot, a lot of things. | ||
| + | #Show learners how to incrementally document their learning experience using Wiki and other related knowledge management tools, including automated testing scripts. | ||
| + | #Try to extend this learning to other disciplinary areas, such as biology and language learning. | ||
| + | We will store all these content in a wiki-based knowledge repository, and will try to use other tools such as Tensorflow and natural language processors to manage learning results. | ||
==预期效果（功能需求）== | ==预期效果（功能需求）== | ||
2016年2月3日 (三) 05:53的版本
目录
公告板
公告板使用说明：
逻辑模型 Logic Model
For now, we will use textual description to present the Logic Model. Overtime, this will be changed to a graphical model.
背景 Background
基于Shimon Schocken|和Noam Nisan 教授两位所开发的Nand2Tetris课程，把信息技术的分层知识结构，用群体学习的基本规律，开发成一个联系实体世界与群体意识的可重组学习模块。
The course: Nand2Tetris is a course developed by Prof. Noam Nisan and Prof. Shimon Schocken, who created a set of lectures and test scripts, along with a Q&A website that supports learning. We will try to leverage these supports to create a new layer of annotation and content extension, so that students who take this online course can get additional support using tools other than the ones currently provided by the Nand2Tetris website and its Q&A website.
长期目标 Long Term Goal
To provide a generalized course framework that allows learners to incrementally build up their understanding of arbitrary systems or fields using layers of abstractions. We will have learners use a set of vocabulary management tools, such as the logic gates in the Nand2Tetris course as the building blocks of their grounding metaphors, to elevate their learning skills by creating a conscious path to the very basics. Knowing that all systems or scientific content must have its grounding metaphors. Clearly, we will also ground the term:"Metaphors" using a rather formal definition. This is to be developed with this course as we learn that logic gates are also a kind of "function" which is a simple kind of metaphor between boolean values.
学习目标 Learning Objectives
There are some basic learning objectives
- Have participants build some systems in the process of learning new concepts. Eventually building a entire computer, that is Turing Complete, and can do a lot, a lot of things.
- Show learners how to incrementally document their learning experience using Wiki and other related knowledge management tools, including automated testing scripts.
- Try to extend this learning to other disciplinary areas, such as biology and language learning.
We will store all these content in a wiki-based knowledge repository, and will try to use other tools such as Tensorflow and natural language processors to manage learning results.
预期效果（功能需求）
输出（设计参数）
过程（工作流程）
- 课程开发团队的准备工作
- 选课学生根据课程要求和提供资源自行完成学习
- 每周一次的集中学习进度报告与交流
- 全体参与者的成果展示会
- 全体学习者的知识库编撰工作
输入（资源准备）
参考
文献
- How to Bake Pi by Eugenio Cheng
- Metaphors we live by by George Lakoff
- Where Mathematics Comes From by George Lakoff and Rafael E. Núñez
- Mathematics, Form and Function by Saunders Mac Lane
- The Grammar of Science by Karl Pearson
- Grammar as Science by Richard K. Larsen
网站
[1]Nand2Tetris Q & A Website
[2]How a 2-1 MUX Work on Electronics Stack Exchange
[3] A very good explanation of how to implement MUX and DMUX
[4] Simple Logic Solver
[5]All About Circuits Website
[6]How Do Computers Work? from Programmers Stack Exchange
[7]First Principles of Derivatives from Sunshine Maths
[8]PyroEDU:Get started learning to build your own electronics by following our FREE online courses below!
