Professor Dr. Mark Embree, Virginia Tech, will give a presentation at Seton Hall University on March 24, 2007.<\/p>\n
In 2015 Virginia Tech launched a new undergraduate major in Computational Modeling and Data Analytics.\u00a0 The program, based on ten new courses jointly taught by the Computer Science, Mathematics, and Statistics Departments, has quickly attracted over 300 majors.\u00a0 In the first part of the talk, we will describe this curriculum and share some lessons we have learned en route to graduating our first class in May.<\/p>\n
The second part of the talk will focus on a particular data science application.\u00a0 Virginia Tech’s Goodwin Hall is instrumented with 212 accelerometers welded to the steel frame of the building.\u00a0 Each of these sensors records vibrations at the rate of up to 25,600 samples per second.\u00a0 From this massive data set, the Virginia Tech Smart Infrastructure Lab seeks to learn about many aspects of building occupancy, ranging from day-to-day operating conditions to the detection of an emergency.\u00a0 We will briefly describe the basics of interpolatory matrix factorizations (e.g., CUR decompositions) and show how they can be applied to identify a minimal set of sensors, toward establishing low-cost sensor configurations for instrumenting other buildings. \u00a0(This talk describes joint work with Pablo Tarazaga, Serkan Gugercin, students in the Virginia Tech Smart Infrastructure Lab, and colleagues in GAiTE LLC.)<\/p>\n","protected":false},"excerpt":{"rendered":"
Professor Dr. Mark Embree, Virginia Tech, will give a presentation at Seton Hall University on March 24, 2007. Two Challenges in Data Analytics: Educating Undergraduates and Learning from a Building In 2015 Virginia Tech launched a new undergraduate major in … Continue reading