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This online video lecture series gives an introduction to deep 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 course provides an integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots.

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

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...

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

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

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

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

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

This video lecture gives an introduction to the area of computer games such as Massive Multiplayer Online Games (MMOG). It includes the server architecture for games, game...

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 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 overview of statistical methods in language technology, focussing mostly on written language (texts).

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 Cyber-Physical Systems (CPS), combining cyber capabilities (computation and/or communication) with physical capabilities (motion or...