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

This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)

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

This online video lecture series gives an introduction to Natural Language Understanding as a sub-problem of artificial intelligence.

This online lecture about transportation analysis uses modeling and simulation to address the mathematical background while modeling transportation system scenarios such as...

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

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

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 video lecture series gives an introduction to Machine Learning.

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

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

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

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 Artificial Intelligence (AI).

This online lecture explores the basics of digital circuits.

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

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