ECE 398

Spring 2014 All Classes

All Classes

Special Topics in ECE

Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

Approved for both letter and S/U grading. May be repeated in the same or separate terms if topics vary.

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ECE 398 class schedule data for spring 2014
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	60913	Lecture	BD	9:00AM -9:50AM	MWF	Engineering Hall	Kamalabadi, F Kudeki, E Moulin, P Do, M Hwu, W Viswanath, P Makela, J Milenkovic, O	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 3 hours Section Title: Making Sense of Big Data Section Info: Big Data is all around us. Petabytes of data is collected by Google and Facebook. 24 hours of video is uploaded on Youtube every minute. Making sense of all this data in the relevant context is a critical question. This course takes a holistic view towards understanding how this data is collected, represented and stored, retrieved and computed/analyzed upon to finally arrive at appropriate outcomes for the underlying context. The course is based around four ?stories?, drawn from diverse areas of engineering. Prerequisites: ECE 313 (or campus equivalent on basic undergrad probability) and some basic linear algebra. General mathematical maturity expected of engineering undergraduates. Target Audience: Juniors or Seniors Restriction(s): Restricted to students with Junior or Senior class standing. Not intended for Graduate - Urbana-Champaign.