link 来源:www.coursera.org
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assignment 等级:中级
chat_bubble_outline 语言:英语
language 字幕 : 希腊语, 西班牙语
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关于内容

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".

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课程大纲

  • Week 1 - Module 1 - Core Materials
    What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
  • Week 2 - Modules 1 - Project and Application
    Graph representations, plotting, analysis of citation graphs
  • Week 3 - Module 2 - Core Materials
    Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
  • Week 4 - Module 2 - Project and Application
    Connected components, graph resilience, and analysis of computer networks
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教师

Luay Nakhleh
Associate Professor
Computer Science; Biochemistry and Cell Biology

Scott Rixner
Professor
Computer Science

Joe Warren
Professor
Computer Science

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内容设计师

Rice University

莱斯大学是一所美国私立研究型大学,位于德克萨斯州休斯敦市。它位于该市的博物馆区,毗邻德克萨斯医学中心。莱斯大学由威廉-马什-莱斯(William Marsh Rice,en)于 1891 年创建,当时名为 "威廉-马什-莱斯文学、科学和艺术发展学院"(The William Marsh Rice Institute for the Advancement of Letters, Science, and Art),1912 年落成,埃德加-奥德尔-洛维特(Edgar Odell Lovett)担任首任校长。

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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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