开始时间: 12/21/2023 持续时间: Approximately 7 months to complete Suggested pace of 4 hours/week
所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/computer-fundamentals
课程评论:没有评论
**课程总结:计算专业基础知识** 该专业覆盖了莱斯大学一年级计算机专业学生所学的大量内容,旨在帮助学生从零基础起学习Python编程技能,并通过构建20多个有趣项目来应用所学知识。课程结束时,学生需参加Capstone考试,以展示在整个专业中获得的知识和技能。 该专业包括以下课程: 1. **Python互动编程入门(第一部分)**:帮助计算机基础较少的学生学习Python编程基础。 [课程链接](https://www.coursera.org/learn/interactive-python-1) 2. **Python互动编程入门(第二部分)**:继续深化Python编程知识。 [课程链接](https://www.coursera.org/learn/interactive-python-2) 3. **计算原则(第一部分)**:建立在互动编程基础之上的编程技能。 [课程链接](https://www.coursera.org/learn/principles-of-computing-1) 4. **计算原则(第二部分)**:介绍计算机科学中的基本数学和编程原理。 [课程链接](https://www.coursera.org/learn/principles-of-computing-2) 5. **算法思维(第一部分)**:分析和解决计算问题的基本方法。 [课程链接](https://www.coursera.org/learn/algorithmic-thinking-1) 6. **算法思维(第二部分)**:继续探讨解决计算问题的高级思维方式。 [课程链接](https://www.coursera.org/learn/algorithmic-thinking-2) 7. **计算基础Capstone考试**:通过考试展示在该专业中学到的综合知识。 [课程链接](https://www.coursera.org/learn/fundamentals-of-computing-capstone) 该专业适合对计算机科学感兴趣的初学者,能够系统地提升编程能力及计算思维。
Course Link: https://www.coursera.org/learn/interactive-python-1
Name:An Introduction to Interactive Programming in Python (Part 1)
Description:Offered by Rice University. This two-part course is designed to help students with very little or no computing background learn the basics ... Enroll for free.
Course Link: https://www.coursera.org/learn/interactive-python-2
Name:An Introduction to Interactive Programming in Python (Part 2)
Description:Offered by Rice University. This two-part course is designed to help students with very little or no computing background learn the basics ... Enroll for free.
Course Link: https://www.coursera.org/learn/principles-of-computing-1
Name:Principles of Computing (Part 1)
Description:Offered by Rice University. This two-part course builds upon the programming skills that you learned in our Introduction to Interactive ... Enroll for free.
Course Link: https://www.coursera.org/learn/principles-of-computing-2
Name:Principles of Computing (Part 2)
Description:Offered by Rice University. This two-part course introduces the basic mathematical and programming principles that underlie much of Computer ... Enroll for free.
Course Link: https://www.coursera.org/learn/algorithmic-thinking-1
Name:Algorithmic Thinking (Part 1)
Description:Offered by Rice University. Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is ... Enroll for free.
Course Link: https://www.coursera.org/learn/algorithmic-thinking-2
Name:Algorithmic Thinking (Part 2)
Description:Offered by Rice University. Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is ... Enroll for free.
Course Link: https://www.coursera.org/learn/fundamentals-of-computing-capstone
Name:The Fundamentals of Computing Capstone Exam
Description:Offered by Rice University. While most specializations on Coursera conclude with a project-based course, students in the "Fundamentals of ... Enroll for free.
## 课程推荐:计算专业基础知识 我最近在Coursera上发现了一个非常值得推荐的在线课程“计算专业基础知识”(Fundamentals of Computing Specialization)。这个课程非常适合计算机科学的新手,特别是那些希望从头开始学习编程的学生。课程由莱斯大学提供,涵盖了他们一年级计算机专业课程的核心内容,使得学习者可以系统地掌握计算机科学的基础知识。 ### 课程概述 该专业课程从基础开始,帮助学生学习Python编程语言的高级技能,课程内容丰富,学生可以通过构建超过20个有趣的项目来实践所学知识。此外,这个专业的结尾是一次Capstone考试,学员可以在考试中展示他们所学到的知识和技能。 ### 课程大纲 这个专业包含以下几个核心课程: 1. **交互编程入门(第一部分)** [课程链接](https://www.coursera.org/learn/interactive-python-1) 这是一门为计算机背景较少的学生设计的课程,帮助他们了解编程的基础知识。 2. **交互编程入门(第二部分)** [课程链接](https://www.coursera.org/learn/interactive-python-2) 该课程延续了第一部分的内容,深入讲解了Python编程的更多概念。 3. **计算原理(第一部分)** [课程链接](https://www.coursera.org/learn/principles-of-computing-1) 学生将在此课程中学习在交互编程入门课程中获得的编程技能。 4. **计算原理(第二部分)** [课程链接](https://www.coursera.org/learn/principles-of-computing-2) 该课程介绍了许多计算机科学的基本数学和编程原理。 5. **算法思维(第一部分)** [课程链接](https://www.coursera.org/learn/algorithmic-thinking-1) 在这一部分中,学员将学习计算问题的分析和解决方法。 6. **算法思维(第二部分)** [课程链接](https://www.coursera.org/learn/algorithmic-thinking-2) 继续深入算法思维,帮助学生在复杂问题上提供解决方案。 7. **计算基础知识Capstone考试** [课程链接](https://www.coursera.org/learn/fundamentals-of-computing-capstone) 这是整个专业课程的总结,学生将在此展示自己的学习成果。 ### 课程总结 我强烈推荐这一系列课程给那些寻找系统学习计算机科学的学生。无论你是完全的初学者,还是有一些基础知识的学习者,这个课程都能帮助你在编程和计算机科学的道路上迈出坚实的一步。通过实践项目,你可以增强自己的编程技能,并最终通过Capstone考试证明自己的能力。通过Coursera注册这些课程,绝对是一个学习新技能的好机会。 如果你想开始你的计算机科学之旅,可以点击这里注册:[计算专业基础知识课程](https://www.coursera.org/specializations/fundamentals-of-computing)!