E.g., Sunday, August 30, 2015
E.g., Sunday, August 30, 2015
E.g., Sunday, August 30, 2015
Self Paced

This course focuses on the fundamentals of computer algorithms, emphasizing methods useful in practice. We look into the algorithm analysis as a way to understand behavior of computer programs as a function of its input size.

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Self Paced

The advent of computers transformed science. Large, complicated datasets that once took researchers years to manually analyze could suddenly be analyzed within a week using computer software. Computational biology refers to the use of computers to automate data analysis or model hypotheses in the field of biology. This course will prepare students in all subfields of biology for future research and data analysis opportunities. Computer science students interested in biological applications will also find it useful.

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Mar 20th 2015

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

7
Average: 7 (1 vote)
Mar 20th 2015

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

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Self Paced Course - Start anytime

Can we program machines to learn like humans? This Reinforcement Learning course will teach you the algorithms for designing self-learning agents like us!

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Self Paced Course - Start anytime

The main goal of this corse is to provide the student with the fundamentals on computer architecture and to introduce the C.

10
Average: 10 (1 vote)
Self Paced Course - Start anytime

The purpose of this course is to introduce students to the topics of data structures and algorithm design along with their respective applications.

10
Average: 10 (1 vote)
Nov 15th 2015

This course will cover algorithms for solving various biological problems along with a handful of programming challenges testing your ability to implement these algorithms. It offers a gentler-paced alternative to the instructors' two other courses, Bioinformatics Algorithms (Part 1 and Part 2).

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Jun 15th 2015

Introduction to Autonomous Mobile Robots – basic concepts and algorithms for locomotion, perception, and intelligent navigation.

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Self Paced Course - Start anytime

In this course you will examine real world problems -- rescue the Apollo 13 astronauts, stop the spread of epidemics, and fight forest fires -- involving differential equations and figure out how to solve them using numerical methods.

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Self Paced Course - Start anytime

Ever played the Kevin Bacon game? This class will show you how it works by giving you an introduction to the design and analysis of algorithms, enabling you to discover how individuals are connected.

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Sep 4th 2015

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

8
Average: 8 (1 vote)
Aug 31st 2015

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. After warming up our algorithmic muscles, we will learn how randomized algorithms can be used to solve problems in bioinformatics.

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Sep 7th 2015

Learn the basic components of building and applying prediction functions with an emphasis on practical applications.

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Jul 6th 2015

In this re-offering of our popular introductory course, you'll learn about the tools used by scientists to understand complex systems.

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Aug 3rd 2015

Use computer programming as a creative discipline to generate sounds, images, animations and more, with this free online course.

10
Average: 10 (1 vote)
Jul 21st 2015

本课程内容程涵盖枚举、二分、贪心、递归、深度优先搜索、广度优先搜索、动态规划等基本算法。通过大量的高强度的编程训练,提高动手能力,做到能较为熟练、完整、准确地实现自己设计的程序,为进一步学习其他计算机专业课程,或在其他专业领域运用计算机编程解决问题奠定良好的基础。

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Jul 21st 2015

本课程的目的有二:其一,帮助同学们了解计算机的基本运行原理,了解程序运行的基本原理,了解计算机的发展状态及趋势。其二,引导同学们逐步进入"计算机程序设计语言"的学习。我们希望本课程为同学们解答如下一些问题:计算机为什么能够进行计算?计算机程序是怎样运行的?计算机未来可能的发展趋势有哪些?程序是如何编写出来的?如何学习程序设计语言?程序设计语言的基本成分有哪些? 完成本课程,表明同学们已经了解了计算机运行的基本原理,了解了计算机程序的基本特性。

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Jul 21st 2015

这门课程将帮助学生学习如何运用高级的数据结构和相关算法解决复杂的应用问题。

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