Online courses directory (147)

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

This course provides a complete introduction to programming for digital musicians and artists, in the real-time multimedia language ChucK. Rich with practical examples and pointers to additional web resources, it can be understood by novices wishing to learn to program interactive arts systems.

Modéliser un problème, concevoir un algorithme de résolution et en proposer une implémentation correcte. Du problème à sa solution, ce cours combine approches pragmatique, pratique et théorique de l'informatique.

This course was the first in a two-part series covering some of the algorithms underlying bioinformatics. It has now been split into three smaller courses.

Few people who “just Google it” to find an answer to their every question understand just what the company does (and why). Through this course, you'll join the minority that really gets it.

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests.

Metadata is an unsung hero of the modern world, the plumbing that makes the information age possible. This course describes how Metadata is used as an information tool for the Web, for databases, and for the software and computing applications around us.

Dieser Kurs vermittelt einen Überblick über die Grundlagen des Maschinellen Sehens an Hand der Extraktion von 3D-Information aus dem Stereokamerabild einer Szene.

Learn how to design secure systems and write secure code.

Use of available (mainly web-based) programs for analyzing biological data. This is Part 2 of an introductory course with a strong emphasis on hands-on methods. Some theory is introduced, but the main focus is on using extant bioinformatics tools to analyze data and generate biological hypotheses.

计算概论A是针对“信息科学技术学科一年级本科生”开设的一门专业基础主干课程。本课程的教学目标有二：其一，帮助学习者建立起“学习计算机科学技术知识所需的基本知识背景”；其二，帮助学习者“掌握计算机程序设计的基础知识”，培养学习者“独立设计计算机程序解决问题”的基本技能。

This course teaches the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in life sciences. The lectures are taught in both Mandarin Chinese and English with slides in English. 生物信息学是一门新兴的生命科学与计算科学的前沿交叉学科。本课程讲授生物信息学主要概念和方法，以及如何应用生物信息学手段解决生命科学问题。本课程同时提供中文普通话授课和英文授课两个版本，以及英文幻灯片。

In this course we’ll explore complex analysis, complex dynamics, and some applications of these topics.

This course serves as an introduction to the basic principles that govern all aspects of our networked lives. We will learn about companies like Google and technologies like the Internet in a way that requires no mathematics beyond basic algebra.

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

The Coursera course, Data Analysis and Statistical Inference has been revised and is now offered as part of Coursera Specialization “Statistics with R”. This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.

Introduction to the design and implementation of applications for handheld systems, such as smartphones and tablets, running the Android Platform.

Computer haben unser Leben tiefgreifend verändert. Um die heutige Gesellschaft und Wirtschaft und deren stetigen Veränderungen zu verstehen, muss man wissen, wie Computer funktionieren. Das Ziel der Vorlesung Informatik für Ökonomen ist es, Ihnen eine Basis zu vermitteln, um unsere informationstechnisch gesteuerte Welt zu verstehen und darin erfolgreich zu sein.