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In this course, students will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. They will apply...

This online course (MOOC) teaches how citizen’s co-creation is key in making cities worldwide more sustainable.It explores in detail the potential of co-creation and also...

This course is an introduction to least squares from a linear algebraic and mathematical perspective.

This online course teaches how to infer the position of a quadrotor from its sensor readings and how to navigate it along a trajectory.

This course teaches about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass...

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 online lecture gives an introduction to quantum optics.

This online course covers system identification. It includes eg. Introduction to modeling: Black-box and grey-box models; Parametric and non-parametric models; ARX, ARMAX (etc.)...

This course teaches its students how to approach programming problems and devise a solution. In this course, students will learn new concepts, patterns, and methods that will...

This course is an introduction to key leadership theories and concepts needed to be an effective leader and manager. Participants will learn practical skills needed to build a...

This video online course (MOOC) explores how controlling the local nanoscale structure and physics of semiconducting polymers allows for revolutionary new devices across the globe.

This course covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational...

This online video lecture series discusses advanced topics related to algorithms in computer science.

Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...

Statistical experiment design and analytics are at the heart of data science. In this course students will design statistical experiments and analyze the results using modern...

This course gives an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Neurons encode information about stimuli...

This course covers functional, object-oriented, and declarative dataflow programming in a unified framework, with practical code fragments and a simple semantics.

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 aims to introduce participants to existing and emerging technologies suitable for disaster risk reduction while promoting the overall aim of sustainable...

This MOOC explores how materials look and work at atomic scales. Prior knowledge of engineering or physical science required.