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This online lecture gives an introduction to the concept of Parallel Programming.

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

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

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

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 video lecture series gives an introduction to deep learning.

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

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

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

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 the way computers are build and designed.

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

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

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