list 4 последовательности
assignment Уровень : Средний
chat_bubble_outline Язык: английский
language Субтитры : испанский
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Важная информация

credit_card Обучение платное
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timer 40 час(ы) курса

Резюме

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 class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques 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. Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems. While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.

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Программа

  • Week 1 - Module 3 - Core Materials
    Sorting, searching, big-O notation, the Master Theorem
  • Week 2 - Module 3 - Project and Application
    Closest pairs of points, clustering of points, comparison of clustering algorithms
  • Week 3 - Module 4 - Core Materials
    Dynamic programming, running time of DP algorithms, local and global sequence alignment
  • Week 4 - Module 4 - Project and Application
    Computation of sequence alignments, applications to genomics and text comparison
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Пользователи

Luay Nakhleh
Associate Professor
Computer Science; Biochemistry and Cell Biology

Scott Rixner
Professor
Computer Science

Joe Warren
Professor
Computer Science

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Разработчик

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.
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Платформа

Coursera

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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