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This online lecture gives an introduction to computer architecture. It explores in great detail how computers are designed.

This video lecture discusses the computational complexity theory, including the Chomsky hierarchy, (un-) decidability,SPACE versus TIME, EXPSPACE and more advanced topics.

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).

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

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

This online lecture provides an introduction to mathematical modeling of computational problems.

This online video lecture series gives an introduction to deep learning.

This is an online lecture about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for...

This online lecture gives an introduction to the dependability and reliability of hardware and software systems.

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

This online lecture explores the basics of digital circuits.

This online lecture covers the Internet of Things (IoT), which basically means that virtually every thing can also feature tiny computers that are connected to the Internet.

This video lecture gives an introduction to project and quality management in software systems engineering.

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

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

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

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,...

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 video lecture series gives an introduction to Artificial Intelligence (AI).