list 14 sequences
assignment Level : Introductive
chat_bubble_outline Language : Chinese
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About the content

计算概论A是针对“信息科学技术学科一年级本科生”开设的一门专业基础主干课程。本课程的教学目标有二:其一,帮助学习者建立起“学习计算机科学技术知识所需的基本知识背景”;其二,帮助学习者“掌握计算机程序设计的基础知识”,培养学习者“独立设计计算机程序解决问题”的基本技能。

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Syllabus

计算机基础知识

    计算机的基本原理--------------------------------- Week 1
    计算机的历史与未来------------------------------ Week 2
    程序运行的基本原理------------------------------ Week 3

程序设计基础
 
    周期一:感性认识计算机程序

        感性认识计算机程序--------------------------- Week 4
        从现实问题到计算机程序---------------------- Week 5
 
    周期二:理性认识程序设计语言

        C++语言的基本成分–数据成分--------------- Week 6
        C++语言的基本成分–运算成分--------------- Week 7
        C++语言的基本成分–控制成分--------------- Week 7
        C++程序中的数组------------------------------- Week 8
       字符数组与字符串------------------------------- Week 8
 
    周期三:学会使用——函数

        C++程序中的函数------------------------------- Week 9
        嵌套、递推、递归------------------------------- Week 10

    周期四:学习使用C程序中的复杂成分

        可爱的 指针(1)------------------------------- Week 11
        可爱的 指针(2)------------------------------- Week 12
        结构体与链表-------------------------------------Week 13
  
    程序设计基础总结 --------------------------------- Week 14

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Instructors

  • Ge Li 李戈 - 信息科学技术学院 School of Electronics Engineering and Computer Science
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Peking University
Peking University is determined to make its education openly accessible to students in China and around the world. With over 3000 faculty members, Peking University offers excellence in teaching and learning. Founded in 1898, Peking University (PKU) was the first national comprehensive university in China. For the past 115 years, with its hundreds of thousands of outstanding alumni, Peking University has made prominent contributions in the humanities and sciences to further China's prosperity and progress.
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Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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