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This video lecture gives an introduction to the area of machine learning. Lecture slides are shown together with the lessons.

This video lecture discusses model driven software engineering (theory and tool support).

This online lecture gives an introduction to cooperation systems related to digital computer systems.

This online video lecture series explores various topics of human-computer interaction.

In this online course, through scientific presentations, critical reflection and discussion, students learn current state-of-the art topics in the field of Ubiquitous Computing.

This course covers modeling, analysis, and design of distributed control systems. Distributed control systems include large-scale physical systems, engineered multi-agent...

This online video lecture series gives an introduction to Reinforcement Learning.

This online lecture video introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.(Note: Also check out our...

This online lecture gives an introduction to biomedical signals and their digital analyis. (Note: course website is in German, but lectures + slides in English.)

This video lecture series gives an introduction to neural networks and deep learning. It covers topics such as backpropagation, loss functions and optimization strategies,...

This online lecture gives an introduction to Cyber-Physical Systems (CPS), combining cyber capabilities (computation and/or communication) with physical capabilities (motion or...

This is an online lecture taking a practical approach to proving problems can't be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions...

This online course aims to provide students with an understanding of the role computation can play in solving problems. It teaches how to solve problems with basic computer...

This online video lecture series gives an introduction to machine learning and pattern recognition.

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 series of video lectures explores various technologies involved in building distributed, data-intensive systems.

This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". The lecture focusses on modeling of densities, and...

This online lecture gives an overview of statistical methods in language technology, focussing mostly on written language (texts).

The focus of this course (part 2 of 2) is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis,...

The online lecture serves as an introduction to the theory and practice behind many of today's communications systems.