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This online lecture discusses various aspects around internet security. After a brief introduction to the structure of the internet, problems such as hackers and viruses, the...

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

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

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

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

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

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

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

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

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

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 lecture series explores how algorithmic puzzles can be solved with computer programming, using the Python programming language.

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 lecture gives an introduction to the architecture of supercomputers.

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 gives an introduction to cooperation systems related to digital computer systems.