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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 video lecture series gives an introduction to Reinforcement Learning.

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

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

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 lecture gives an introduction to the architecture of supercomputers.

This online lecture covers elementary discrete mathematics for computer science and engineering.

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

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

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

This online lecture explores the basics of digital circuits.

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 considers the tremendous growth of integrating micro-electronic computing components with regard to their architectures, complexity, design and programming....

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

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

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

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