Want to further your education but a little short on time or money? Then consider taking a massive open online course (MOOC). Partnering with the nonprofit edX, IEEE will produce courses tailored to practitioners and students within the IEEE fields of interest.
Founded by Harvard University and MIT, edX offers more than 300 free MOOCs from numerous universities and organizations, including Caltech, the Indian Institutes of Technology, the Linux Foundation, Microsoft, and the Smithsonian Institution. IEEE’s courses will be offered on IEEEx.org, the IEEE portal of the edX website. MOOC content is available in weekly and on-demand formats and offers students who pass the course the opportunity to pay for a certificate jointly awarded by IEEE and edX.
“The organization’s global reach, reputation for quality, and engagement with technical professionals make edX a great platform for IEEE’s online education programs,” says IEEE Senior Member Saurabh Sinha, vice president of IEEE Educational Activities.
CLASS IS IN SESSION
So far, IEEE has shared three courses: one is archived and can be taken at any time and two others are starting soon.
“ISSCC Previews: Circuit and System Insights” launched in December 2014. Developed by the IEEE Solid-State Circuits Society, it covers topics from the International Solid-State Circuits Conference, including the latest research in wireless communications, integrated systems-on-a-chip, and solar cells. The course is presented in 11 modules taught by experts in those fields.
“Introduction to Metrics for Smart Cities” will begin on 23 April. The course teaches how to use metrics to analyze and improve a city’s infrastructure, economy, energy efficiency, and overall satisfaction ratings from residents. The course is taught by IEEE members and professors from the Smart Cities Innovation Center at the University of Guadalajara, in Mexico. (Read about Guadalajara’s plans to become a smart city.)
Starting 3 June, IEEE will offer “Introduction to Cloud Computing,” a 13-week course taught by IEEE Fellow Phillip Laplante designed to help students develop an understanding of the economics and architecture of various cloud computing models.