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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 the way computers are build and designed.
This series of video lectures explores various technologies involved in building distributed, data-intensive systems.
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 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 concepts of machine learning. (Some math and programming experience required.)
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 covers major results and directions of research in data structure.
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 video lecture series gives an introduction to Reinforcement Learning.
This video lecture gives an introduction to project and quality management in software systems engineering.
This online lecture gives an introduction to cooperation systems related to digital computer systems.
This online video lecture series discusses advanced topics related to algorithms in computer science.
Diese Online-Vorlesung erörtert selektive weiterführende Aspekte der Modellierung (basierend auf Teil I der Vorlesung). Es wird u.a. die objektorientierte Analyse / Entwurf...
Diese Vorlesung gibt eine Einführung in die Techniken und Mechanismen für die Entwicklung von Echtzeit(betriebs)systemen.
Diese Online-Vorlesung gibt eine Einführung in die Komplexitätstheorie und erörtert deren Bedeutung für den Algorithmenentwurf.
Diese Online-Vorlesung erläutert in 29 einzelnen Videovorlesungen viele grundlegenden Konzepte der Programmierung auf akademischem Niveau. Es handelt sich also nicht um einen...
Diese Videovorlesung erläutert weitere Aspekte von Computernetzwerken (u.a. ISO-Darstellungsschicht, Anwendungsschicht, Domain Name System (DNS), Telnet, FTP, Email, USENET,...
Diese Vorlesung erläutert die Algorithmische Modellierung, inkl. komplexer Praxisbeispiele.
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