date_range Débute le 3 avril 2017
event_note Se termine le 1 mai 2017
list 4 séquences
assignment Niveau : Introductif
label Informatique & Programmation
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
timer 16 heures de cours

En résumé

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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Le programme

  • 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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Les intervenants

  • Scott Rixner - Computer Science
  • Luay Nakhleh - Computer Science; Biochemistry and Cell Biology
  • Joe Warren - Computer Science
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Le concepteur

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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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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