E.g., Thursday, October 30, 2014
E.g., Thursday, October 30, 2014
E.g., Thursday, October 30, 2014
Self Paced Course - Start anytime

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.

0
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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!

0
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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)
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

This course focuses on the fundamentals of computer algorithms, emphasizing methods useful in practice.

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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.

0
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Self Paced Course - Start anytime

Cryptography is essentially the science of writing in secret code. In data and telecommunications, cryptography has specific security requirements, such as authentication, privacy or confidentiality, integrity, and non-repudiation. To meet these security requirements, we employ secret key (or symmetric) cryptography, public-key (or asymmetric) cryptography, and hash functions.

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Feb 16th 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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Jan 12th 2015

The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications.

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Oct 14th 2014

Das Modewort Apps ist in aller Munde. Aber wie funktioniert eigentlich eine solche Applikation? Und wie kann man Computer-Programme selbst schreiben? Dieser Kurs vermittelt die Grundlagen der Informatik und führt in die Programmiersprache Java ein.

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Sep 16th 2014

Learn the basics of data structures and methods to design algorithms and analyze their performance.

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Oct 20th 2014

This course will cover some of the common algorithms underlying the following fundamental topics in bioinformatics: assembling genomes, comparing DNA and protein sequences, finding regulatory motifs, analyzing genome rearrangements, identifying proteins, and many other topics.

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Nov 10th 2014

这门课程将帮助学生学习如何运用数据结构和算法解决复杂的实际问题。 | This course will help students learn to use data and algorithms to solve complex real-world problems.

0
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Oct 6th 2014

本课程着重于帮助学生理解编程思想,掌握基本的编程知识和技巧,并学习编写简单的程序。| This course focuses on helping students understand programming ideas, master basic programming skills, and learn to write simple programs.

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Self study

When we use programming for problem-solving purposes, data must be stored in certain forms, or Data Structures, so that operations on that data will yield a specific type of output.

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Oct 27th 2014

Modéliser un problème, concevoir un algorithme de résolution et en proposer une implémentation correcte. Du problème à sa solution, ce cours combine approches pragmatique, pratique et théorique de l'informatique.

9.5
Average: 9.5 (2 votes)
Oct 31st 2014

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)

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