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

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 online video lecture series gives an introduction to Computer Science, Internet technology and the basics of computer hardware (CS105 class at Stanford University). The...

This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...

This online lecture covers major results and directions of research in data structure.

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 is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application.

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

This online lecture gives an introduction to the architecture of supercomputers.

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

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

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

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 course offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming.

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

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