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This online course gives an introduction to cryptography. It explores cryptography from an information-theoretical perspective.

This online course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

This online course teaches how to collect data from different social media sources such as YouTube, Twitter, and Flickr. It includes analyzing unstructured data and processing...

In this online course, participants will learn how to organize their code, and why that’s important. They will be using the MVC Design Pattern in the web application...

This online course explores intermediate and advanced topics in computer science by building mobile apps with App Inventor for Android. 

This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...

After this course, students should be able to apply Swift essentials to building iOS apps and employ Swift’s more unique elements, like optional types and switch statements,...

This online course gives an introduction to the analysis of data gathered from the Internet of Things (IoT). It shows the analysis of data correlation, patterns, trends, and...

This online course shows how to build dynamic websites and web applications using JavaScript.The course requires some basic understanding of HTML and CSS. It includes...

This video lecture discusses model driven software engineering (theory and tool support).

This MOOC teaches fundamentals of probabilistic analysis and inference. Participants of the course will build computer programs that reason with uncertainty and make...

This online course helps to design embedded system behaviour that is structurally sound.

This online course teaches how to write high-quality code that runs correctly and efficiently.  Students will design, code and validate programs and learn how to compare...

This online course gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This MOOC discusses the integration and processing of large amounts of data. It explains processing patterns for big data.

This online course gives an introduction to software architecture. It explores the different types of architectural styles, the properties of layered and n-tier architectures...

This course will introduce the learner to network modelling through the networkx toolset. Used to model knowledge graphs and physical and virtual networks, the lens will be...

This online course series explores how AI applications can be used in trading and quantitative finance.

This online course teaches how to use relative units and media queries to create websites that can be viewed across devices of all sizes.