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University at Buffalo

UB Graduate Academic Schedule: Fall 2020

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


CSE 675LEC - Stochastic Simul. & Inference
Stochastic Simul. & Inference 000 Enrollment Information (not real time - data refreshed nightly)
Class #:   20429   Enrollment Capacity:   25
Section:   000   Enrollment Total:   17
Credits:   3.00 credits   Seats Available:   8
Dates:   08/31/2020 - 12/11/2020   Status:   OPEN WITH RESERVES
Days, Time:   M W F , 3:00 PM - 3:50 PM
Room:   Remote view map
Location:   Remote      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 25 16  
Enrollment Requirements
Prerequisites: Pre-Requisite: CSE 574.
  Course Description
An emerging application for the stochastic process is analyzing complex natural and social systems using data collected from sensor networks and the World Wide Web that tracks the temporal evolution of those systems. By applying the stochastic process to data, we can improve commuter traffic, tune organizational efficiency, and control the spread of epidemics. In this course, we will learn how to construct and simulate the Markov processes that are the common abstractions of many dynamic systems, and learn the mathematical properties of these processes. Overall, this hands-on course trains students to apply stochastic-process thinking to the temporal dynamics of complex systems, as captured by data.
             Dong, W look up    
  On-line Resources
Other Courses Taught By: Dong, W