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This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course focuses on facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...
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 MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and...
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
This MOOC gives an introduction to Python and includes data analysis techniques.
In this course students will build a hardware and software development environment to guide their journey through the Internet of Things specialization courses. The DragonBoard™...
This course explores the convergence of multiple disciplines leading to todays’ Smartphones. Students will learn about the birth and evolution of Telephony Networks, Broadcast...
In this course students will expand their repertoire of additional features and more advanced functions that may be implemented within the iOS environment. They will refine...
This online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...
This online course covers advanced machine learning and signal processing concepts, including supervised and unsupervised machine learning.
This online course (MOOC) teaches how objects like spacecraft move in dynamical ways.
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 online course gives an introduction to quantum mechanics. The course was designed for learners with mechanical or aerospace engineering backgrounds.
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