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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/algorithms-data-collection-code
课程评论：没有评论
课程名称：算法、数据收集与编程入门 课程概述：本课程将引领您踏上学习计算思维和C语言编程的旅程。如果您希望探索如何以严谨的计算方式与世界互动，并且希望开始学习编程，那么这门课程非常适合您！ 关于计算思维，您可能听到过许多讨论，但如果您询问10个人，可能会得到10种不同的答案。在本课程中，我们将不试图定义计算思维，而是将其视为包含多种不同组成部分的问题解决过程。我们将重点探索算法和数据收集。 对于初学者而言，C语言编程的内容相对容易理解！在本课程中，您将通过编写您的第一个C程序开始学习如何开发C程序；了解数据类型、变量和常量；并通过实现各种STEM计算来提升您的C语言编程技能。该课程不要求您有任何之前的编程经验，因此即使您从未写过代码，也不用担心。 如果这些内容让您感兴趣，请立即加入课程！ 注意：入门（假设没有编程基础）并不等于简单（并不容易）。学习编程确实很困难，特别是本专业课程是基于大学一年级课程的。面对课程挑战并掌握材料将是值得的，但这需要努力工作，过程中也许会有些挫折和沮丧。 模块内容： 模块 1：了解算法并编写您的第一个C程序 模块 2：发现我们如何在程序中存储数据 模块 3：探索如何使用数据收集来解决问题和回答问题 模块 4：练习编写C程序以实现STEM计算 课程大纲：
名称：算法与编程入门
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名称：数据类型、变量与常量
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名称：数据收集与更多算法
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名称：STEM计算
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Name:Algorithms and Starting to Code
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Name:Data Types, Variables, and Constants
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Name:Data Collection and More Algorithms
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Name:STEM Computations
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This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you! You may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection. Most people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before. If that all sounds interesting to you, go ahead and jump into the course! Caution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way. Module 1: Learn about algorithms and write your first C program Module 2: Discover how we store data in our programs Module 3: Explore how we use data collection to solve problems and answer questions Module 4: Practice writing C programs to implement STEM computations
