6.261 Statistical Data Processing

SHARE:

Graduate H-Level
Prerequisites: TBD
Units: 3-0-9
Instructor: Prof. Devavrat Shah
Schedule: Fridays 1-4, room 32-123
 
DESCRIPTION
 
This is an advanced topics course with the focus on developing analytic understanding of modern data processing systems. It will be geared towards designing computationally and statistically efficient systems and will introduce various interdisciplinary methods, through topics including graphical model inference, graphical codes for communication and storage, crowd-sourcing systems, compressive sensing, networked data processing and choice models.