Students collaboratively interact with a variety of texts as they define reading and develop their own Reader's Profiles modeled after online social networking sites.

This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class.
Starting in Spring 2010, this course will be titled Enabling Technology Innovation in Healthcare and the Life Sciences.

Become Internet savvy with tutorials on how to browse effectively, maintain your safety and network socially while online.

This project-based course explores new design strategies for social interaction in the computer mediated world. Through weekly readings and design assignments we will examine topics such as:

Data-based portraiture
Depicting growth, change and the passage of time
Visualizing conversations, crowds, and networks
Interfaces for the connected city
Mobile social technologies

The course emphasizes developing visual and interactive literacy.

Using Internet Communication enhances students' theoretical understanding of electronic communication and their ability to communicate as professionals, scholars, and citizens using the Internet. Participants learn core communication theoretical models and principles, and apply them to electronic communication methods that enhance interpersonal, small group, and public interactions. These methods include electronic meetings, discussion forums, co-authoring tools, audio, and video.

This video lesson will introduce students to algorithmic thinking through the use of a popular field in graph theory—social networking. Specifically, by acting as nodes in a graph (i.e. people in a social network), the students will experientially gain an understanding of graph theory terminology and distance in a graph (i.e. number of introductions required to meet a target person). Once the idea of distance in a graph has been built, the students will discover Dijkstra's Algorithm. The lesson should take approximately 90 minutes and can be comfortably partitioned across two class sessions if necessary (see the note in the accompanying Teacher Guide). There are no special supplies needed for this class and all necessary hand-outs can be downloaded from this website.