This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting structured data from unstructured data, systems issues (exploiting multicore, security), analytics (machine learning, data compression, efficient algorithms), visualization, and a range of applications.
Each module will introduce broad concepts as well as provide the most recent developments in research.
"Love the Processor, Hate the Process: The Temptations of Clever Algorithms and When to Resist Them" Jonathan Zittrain, George Bemis Professor of International Law and Professor of Computer Science, Harvard Universit MIT CSAIL, Aptil 1, 2015
Harvard recently held its annual symposium on the future of computation in science and engineering in Jan 2015, focusing on “Privacy in a Networked World.” Several members of our MIT Big Data Privacy working group attended and in this post we summarize a few of the highlights.
Last week, Kelly, Guy, and I attended HackMIT – one of the most prestigious hackathons in the world – as sponsor judges for the Big Data Initiative at MIT CSAIL. There, we listened to speeches, mentored students, and (importantly) encouraged students to hack on our newly released wifi data. Oh.
As part of the MIT CSAIL bigdata lecture series, Dr. Calvin Andrus who works in Office of the Chief Information Officer at the Central Intelligence Agency, gave a talk on the challenges associated with deploying enterprise-scale analytic engines on top of cloud-based bigdata holdings in a classified environment.
Erik Brynjolfsson, the Director of the MIT Center for Digital Business, the Schussel Family Professor at the MIT Sloan School, and a Research Associate at the National Bureau of Economic Research was the last speaker in the Big Data Lecture Series - Fall 2012.