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This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
In this online course, participants are given the following task: Given a collection of simulated error-free read-pairs, they use the paired de Bruijn graph to reconstruct the...
This course explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
In this course, participants will first learn what a graph is and what are some of the most important properties. Then they will learn several ways to traverse graphs and how...
This online course (MOOC) explores various learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. It teaches how the...
This online course gives an introduction to virtual reality technology.The course aims to show what is important for successful virtual reality software and teaches how to write...
In this course, students will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. They will then develop software to acquire sensory data, process...
This online course gives an introduction to genomic data science. The course explores DNA replication, analyzing algorithms to look for hidden messages in the genome. It also...
This course will teach relevant fundamentals of human motor performance, perception, and cognition that inform effective interaction design.
This online course shows how to teach coding skills to students by using Minecraft, one of the most popular games of all time.
This online course teaches to move beyond the chatter and opinion surrounding parenting and learn about the scientific findings and data that can help you make sensible,...
In this course, students will see how evolutionary trees resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans. They will then...
Advanced algorithms build upon basic ones and use new ideas. The course will start with networks flows which are used in more obvious applications such as optimal matchings,...
This course will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
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