Preparing for the AP* Computer Science A Exam — Part 2
An introduction to how computing can be used to solve real-world problems while encouraging student computational creativity. Part 2 of 2.
Introducción a la programación en Java: escribiendo buen código
¡Aprende programación en Java de forma fácil e interactiva y entra en el fascinante mundo de la computación!
Probability: Basic Concepts & Discrete Random Variables
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.
SQL Concepts for Data Engineers
In this short course you will learn additional SQL concepts such as views, stored procedures, transactions and joins.
Einführung in MATLAB
In diesem MOOC vermitteln wir den Umgang mit und das aktive Nutzen von MATLAB anhand typischer Problemstellungen aus der Ingenieurmathematik, wie sie typischerweise im 1. Semester für Studierende von Ingenieurwissenschaften unterrichtet wird.
Blockchain and FinTech: Basics, Applications, and Limitations
Understand the design rationale of blockchain technology, its emerging platforms and applications and uncover the limitations and the opportunities enabled by blockchain applications, particularly as it relates to finance.
Wells Hydraulics
The Earth is blue for its oceans but green for its groundwater. We use wells to extract water from the ground. In this course we address questions such as:
How well tests tell us if an aquifer can provide enough water?
How can we use wells to dewater construction sites?
Databases: Semistructured Data
This course is one of five self-paced courses on the topic of Databases, originating as one of Stanford’s three inaugural massive open online courses released in the fall of 2011. The original “Databases” courses are now all available on edx.org.
Part of the Databases series, this is a standalone course; learners seeking to develop an understanding of topics in this course do not need to take other Databases courses. This course covers the JSON and XML standards for semistructured data, along with query languages and schema declaration features for XML.
The XML Data section of this course introduces the XML model for semistructured and self-describing data, including DTDs and some features of XML Schema.
The JSON Data section of this course introduces the JSON model for human-readable structured or semistructured data.
The XPath and XQuery section of this course covers the XPath language for processing XML data, along with many features of the more advanced XQuery language.
The XSLT section of this course provides a general introduction to the XSLT rule-based language for querying and transforming XML data.
Introduction to Bayesian Statistics Using R
Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.
Electrotechnique I
Découvrez les circuits électriques linéaires. Apprenez à les maîtriser et à les résoudre, dans un premier temps en régime continu puis en régime alternatif.
