Computing

 

 


 

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E.g., 2017-09-19
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Sep 25th 2017

Through this course even non-technical students can gain basic proficiency in health informatics: the application of computing to healthcare delivery, public health and community-based clinical research. The overall course paradigm is the Institute of Medicine's vision of a "Learning Health System" that uses data from actual patient care to gain new knowledge and feeds that knowledge back as care is delivered to achieve a safer, higher quality and more cost effective health delivery system.

Average: 6 (1 vote)
Sep 18th 2017

This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming.

Average: 6.6 (19 votes)
Sep 18th 2017

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Average: 6.5 (10 votes)

Sep 18th 2017

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language.

Average: 6 (12 votes)
Sep 18th 2017

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.

Average: 5.8 (25 votes)
Sep 18th 2017

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera.

Average: 5.4 (19 votes)

Sep 18th 2017

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Average: 6.5 (11 votes)
Sep 4th 2017

The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.

Average: 8.5 (16 votes)
Aug 21st 2017

Create simple systems that respond to and control the physical world using the Raspberry Pi and Python. This free online course will introduce you to Physical Computing, showing you how easy it is to create a system that responds to and controls the physical world, using computer programs running on the Raspberry Pi.

Average: 7 (4 votes)
Aug 21st 2017

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques.

Average: 3 (1 vote)
Self Paced

An introduction to the beauty & joy of computing. The history, great principles, social implications, & future of computing. Beautiful applications, have changed the world. How computing empowers discovery & progress in other fields. Relevance of computing to the student & society will be emphasized.

No votes yet

Jun 12th 2017

A free online course for primary and secondary school teachers who are tackling the Computing curriculum in England. This free online course aims to help teachers in primary and secondary schools, especially those who previously taught other subjects including ICT. It was originally created by UEA with sponsorship from Computing at School (CAS) and BT. CAS have asked the National STEM Learning Centre to host a fourth run of this successful course.

Average: 9 (2 votes)