E.g., 2016-06-07
E.g., 2016-06-07
E.g., 2016-06-07
To Be Announced

Curso dirigido a cuestionar las prácticas comunes del campo del diseño instruccional. Se da una mirada crítica al diseño de cursos y módulos instruccionales, y se analizan marcos de referencia alternos que permiten que los participantes puedan diseñar para un currículo del siglo 21.

Average: 1 (2 votes)
To be announced

En esta asignatura se estudiarán los organismos parásitos que afectan a los seres humanos y los vectores que los transmiten. En primer lugar, se presentarán al estudiante los términos necesarios para poder desarrollar la disciplina, tales como la noción de parasitismo, tipos de parásitos y sus ciclos vitales, adaptación a la vida parasitaria, etc.

Average: 10 (1 vote)
Jun 6th 2016

This free five-week course is dedicated to the life and work of U.S. food writing giants Judith Jones, Craig Claiborne, MFK Fisher, Clementine Paddleford, and Michael Batterberry and their work, from restaurant criticism to cookbooks and magazines. The course is based on videos, readings of primary and secondary sources, forum discussions, and quizzes to test your knowledge.

No votes yet
May 24th 2016

Learn everything you need to know to deploy and manage Adobe Experience Manager (AEM) systems at scale. This course will cover how you can take advantage of MongoDB to deploy a highly scalable content repository to support your business needs. Learn about installation, sizing, and the tools available to automate and manage your cluster.

No votes yet
May 23rd 2016

This course is a hands-on introduction to internet measurements. You will learn about measuring the structure of the internet and the routes through that structure, about delays, losses and connectivity, about bandwidth, and about traffic.

Average: 10 (1 vote)
May 16th 2016

Find out how propaganda is used to instil political ideologies and its impact on our daily lives, with this free online course. This free online course explores the building blocks of our political views: freedom, community, place, justice and choice. These words mean different things to different people – such radically different things in fact, that individuals, protest movements and entire states often go to war to assert their understanding of, say, freedom over somebody else’s.

No votes yet
May 15th 2016

Discover the relationship between Big Data and the Internet of Things (IoT). The Internet of Things is rapidly growing. It is predicted that more than 25 billion devices will be connected by 2020. In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

No votes yet
May 15th 2016

This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this goal in selected populations and how the principles of primary health care can guide future policies and actions. Two of the most inspiring, least understood, and most often derided terms in global health discourse are “Health for All” and “Primary Health Care.”

Average: 1.3 (3 votes)
May 9th 2016

Water management today is faced with new challenges such as climate change or the effects of human activity. Public and private stakeholders who are active in this field must develop new ways to better manage the water cycle "as a whole". The objective of this MOOC is to develop an understanding of the problems related to water management.

No votes yet
May 9th 2016

Learn how to be successful in your job search in by creating a compelling CV / résumé and cover letter. This two-part job search course guides you on the path to career success. Based on interviews with industry professionals and experienced recruiters, Part 1 helps you create a compelling CV / résumé and job application. Part 2 helps you interview successfully.

Average: 7 (1 vote)
May 9th 2016

We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.

Average: 7.9 (7 votes)
May 9th 2016

This course begins with a welcome message and an overview of the Specialization. After this introduction, you will be asked to take a proficiency test to see if this course is right for you. During the course, you will begin learning vocabulary and customs related to socializing and networking in English. The goal is to enable you to interact with business contacts in person, on the phone and over email in a professional way.

No votes yet
May 9th 2016

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting.

No votes yet
May 9th 2016

Welcome to Memory and Movies. Someone once said that memory is fascinating because sometimes we forget what we want to remember, sometimes we remember what we want to forget, and sometimes we remember events that never happened or never happened the way we remember them. I want to show you how memory works, why it sometimes fails, and what we can do to enhance memory function, especially as we get older. Rather than covering all aspects of human memory, I will provide an introduction to the scientific study of memory by focusing on a select group of topics that hold widespread popular appeal.

No votes yet
May 9th 2016

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Average: 7 (1 vote)
May 9th 2016

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Average: 2.9 (7 votes)
May 9th 2016

Curso orientado a entregar herramientas para mejorar la búsqueda y selección de la información en la web ante el fenómeno, cada vez más extendido, de la infoxicación de información en la red. Contar con herramientas y habilidades para mejorar la forma de recolectar y seleccionar fuentes de información se hace cada vez de mayor importancia.

Average: 9 (1 vote)
May 9th 2016

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

No votes yet
May 9th 2016

Les villes africaines, en particulier les grandes agglomérations, sont marquées depuis la 2ème moitié du XXème siècle par une croissance démographique et spatiale sans précédent, ce qui accroit les besoins de mobilité pour relier des lieux de plus en plus éloignés. Il s’agira durant le cours, dans un premier temps, de documenter le contexte de mobilité dans les villes africaines.

No votes yet
May 9th 2016

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

No votes yet

Pages

 

Tell your friends: