Course Staff

The increasing availability of data has created a sea change in the way we build interactive systems. It is possible to easily access information about a person’s activities, online and offline, about the state of the world around them, and about the activities of other people connected to them either directly or through their use of shared resources. This information can help to contextualize interaction, support inference, provide recommendations, or be directly investigated by the user themselves. The goal of this course is to provide you with the tools to build data-driven interactive systems and explore the new opportunities enabled by this data through a combination of guest lectures, discussion of current literature, and practical skills development. Over the course of the semester, you will learn about the entire data pipeline from sensing to cleaning data to different forms of analysis and computation. 

Recent Announcements

  • Byte 6 Results Byte 6, as with all your other work, blew me away with the interesting and thoughtful things so many of you did. Some of the things you explored included:Mother ...
    Posted Apr 8, 2014, 8:48 AM by Jen Mankoff
  • "Big data: are we making a big mistake?" [link out] A nice summary of some of the issues in 'theory-free' correlational analysis and the potential for big data to make big mistakes even bigger. In Big Data: Are we ...
    Posted Apr 7, 2014, 11:08 AM by Jen Mankoff
  • Byte 5 Results I want to share the Byte 5 results on the machine learning side because you each took such different approaches to improving accuracy. Only one person questioned the high impact ...
    Posted Mar 31, 2014, 12:43 PM by Jen Mankoff
  • Aaron Steinfeld on Participatory Transit Sensing for Everyone Aaron started by talking about how large an effort (number of students and stakeholders) the work was. Something to keep in mind with respect to such a big data collection ...
    Posted Mar 27, 2014, 1:14 PM by Jen Mankoff
  • The importance of asking the right question This MIT Tech Review article on facebook sharing  summarizes a project using machine learning to explore under what conditions a shared photo will be shared many many times vs petering ...
    Posted Mar 27, 2014, 5:39 AM by Jen Mankoff
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