list 4 sequencias
assignment Nível: Intermediário
chat_bubble_outline Idioma: Inglês
language Subtítulos : Grego, Espanhol
card_giftcard 400 pontos
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Informações principais

credit_card Free accesso
verified_user Certificado pago
timer 40 total de horas

Sobre o conteúdo

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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Programa de estudos

  • 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


Luay Nakhleh
Associate Professor
Computer Science; Biochemistry and Cell Biology

Scott Rixner
Computer Science

Joe Warren
Computer Science


Criador do conteúdo

Rice University
Located on a 300-acre forested campus in Houston, Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.



A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.

O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours

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