E.g., Sunday, February 14, 2016
E.g., Sunday, February 14, 2016
E.g., Sunday, February 14, 2016
Self Paced

The Art of Programming. Discover the world of computing, learn software design and development while solving puzzles with world renowned lecturer Richard Buckland.

Average: 9.5 (2 votes)
Self Paced

Linux is a excellent alternative to Windows, due to its stability & the worldwide community of developers, freely contributing to the large variety of Linux operating systems or "distributions".

Average: 5.3 (3 votes)
Self Paced

The Course gives an overview on the Computers Architecture and has the objective of explain how they works with focus on the x86 architecture.

Average: 7.5 (2 votes)
Self Paced

As you go through the course, you will hear about a variety of ways to use Google to find information.

Average: 5.8 (4 votes)
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.

Average: 5.5 (2 votes)
Self Paced

Learn about the fundamentals of computers and the technology they use.

Average: 6.7 (3 votes)
Self Paced

The Internet has become an integral part of our daily lives. This course will teach you about the technological foundation of this worldwide network.

Average: 10 (1 vote)
Self Paced

This FREE MOOC (Massive Open Online Course) investigates the use of clouds running data analytics collaboratively for processing Big Data to solve problems in Big Data Applications and Analytics. Case studies such as Netflix recommender systems, Genomic data, and more will be discussed.

Average: 6 (1 vote)
Self Paced

This course is designed to introduce you to the study of Calculus.

No votes yet
Self Paced

Register now to sharpen your research skills and strengthen your use of advanced Google search techniques to answer complex questions.

No votes yet
Jun 13th 2016

Learn about the inner workings of cryptographic primitives and protocols and how to apply this knowledge in real-world applications.

Average: 2.8 (4 votes)
Mar 28th 2016

Learn about General Game Playing (GGP) and develop GGP programs capable of competing against humans and other programs in GGP competitions.

No votes yet
Self Paced Course - Start anytime

The course of logic and legal informatics is divided into two sections. The first, is applied to the analysis of legal reasoning, therefore, of 'interpretation and argumentation. The second, however, relates to that particular relationship that is established between law and computer science, or more generally between law and new technologies.

Average: 10 (1 vote)
Mar 16th 2016

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.

Average: 5.2 (5 votes)
Mar 9th 2016

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

Average: 4 (2 votes)
Feb 20th 2016

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.

Average: 6.2 (5 votes)
Feb 20th 2016

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Students will refine their programming skills as well as learn the basics of creating efficient solutions to common computational problems.

Average: 6 (2 votes)
Feb 15th 2016

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

Average: 7.5 (2 votes)
Feb 15th 2016

Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.

Average: 1 (1 vote)
Feb 15th 2016

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Average: 5.5 (2 votes)

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