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268 Computer Science Training Courses (Page 2)

See also: Hour of Code.

See also: Hour of Code.

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Probabilistic Graphical Models 2: Inference

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These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a …

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Diseño y creación de videojuegos: proyecto final

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Created by: Universitat Autònoma de Barcelona Taught by: Enric Martí Gòdia, Associate Professor Computer Science Taught by: Pere Nolla Rodríguez, Freelance y Colaborador docente Ciencias de la Computación (UAB) Taught by: Jordi Ar…

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C程序设计进阶

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About this course: 如果说学习过《计算导论与C语言基础》,你已经迈入了C语言的殿堂,那么《C程序设计进阶》将帮助你更上一层楼,理解“结构化程序设计的基本思想”,掌握“C程序设计的基本技巧”,养成“良好的编程习惯和编程风格”,编写出“真正具有生命力的计算机程序”。完成这门课的学习,你将能解释C程序设计语言的基本概念与知识,并且使用C语言编写计算机程序解决生活工作中的实际问题。 Created by: Peking University Ta…

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Approximation Algorithms Part II

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About this course: Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefin…

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Cryptography I

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About this course: Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the …

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Gut Check: Exploring Your Microbiome

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Created by: University of Colorado Boulder, University of Colorado System, University of California, San Diego Taught by: Rob Knight, Professor Pediatrics and Computer Science & Engineering. Director, Center for Microbiome Innovat…

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Interfacing with the Arduino

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Created by: University of California, Irvine Taught by: Ian Harris, Associate Professor Department of Computer Science Basic Info Course 3 of 6 in the An Introduction to Programming the Internet of Things (IOT) Specialization Comm…

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Digital Signal Processing

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By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other de…

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Introduction to Natural Language Processing

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It includes relevant background material in Linguistics, Mathematics, Probabilities, and Computer Science. Some of the topics covered in the class are Text Similarity, Part of Speech Tagging, Parsing, Semantics, Question Answering…

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Robotics: Computational Motion Planning

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Created by: University of Pennsylvania Taught by: CJ Taylor, Professor of Computer and Information Science School of Engineering and Applied Science Basic Info Course 2 of 6 in the Robotics Specialization Language English How To P…

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System Validation (2): Model process behaviour

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It is the next logical step in computer science and improving software development in general. It allows automated analysis based on behavioural models of a system to see if a system works correctly. We want to guarantee that the …

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Approximation Algorithms Part I

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About this course: Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? Thes…

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Evaluating User Interfaces

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Created by: University of Minnesota Taught by: Loren Terveen, Professor Computer Science and Engineering Taught by: Haiyi Zhu, Assistant Professor Computer Science and Engineering Taught by: Lana Yarosh, Assistant Professor Comput…

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Principles of Computing (Part 1)

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The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science. Recommended Background - Students should be comfortable…

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Robotics: Perception

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Created by: University of Pennsylvania Taught by: Kostas Daniilidis, Professor of Computer and Information Science School of Engineering and Applied Science Taught by: Jianbo Shi, Professor of Computer and Information Science Scho…