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This course covers data abstraction, state, and deterministic dataflow in a unified framework with practical code exercises. In the last part of the course, students will...

In this course students will be developing foundational programming skills to support graphical element presentation and data manipulation from basic functions through to...

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 online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.

This online course will guide participants through how a client communicates with a server, including details of HTTP/1 vs. HTTP/2.

In this course, students will get hands-on experience with machine learning from a series of practical case-studies. They will study how to predict house prices based on...

This course will teach probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and...

This online course lets participants master the foundational math concepts that drive robotics and put them into practice using MATLAB.

This online course explores algorithmics and graph theory using Python.

In this online course, participants get hands-on experience making web applications accessible (eg. through screen readers).

This online course is designed to cover all physics and engineering aspects of photovoltaics: photovoltaic energy conversion, technologies and systems.

This online course teaches about the general information security risk management framework and its practices and how to identify and model information security risks and apply...

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 online course (MOOC) teaches how objects like spacecraft move in dynamical ways.

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...

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

This online course series explores current engineering practices used in the self-driving car industry. The online program shows the detailed architecture and components of a...

This online course explores concepts of advanced linear algebra for computing.

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