University at Buffalo

UB Graduate Academic Schedule: Fall 2017


  • 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. Information about HUB can be found at www.buffalo.edu/hub


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    CSE 675LEC - Stochastic Simul. & Inference
    Lecture
    Stochastic Simul. & Inference 000 Enrollment Information (not real time - data refreshed nightly)
    Class #:   24353   Enrollment Capacity:   45
    Section:   000   Enrollment Total:   16
    Credits:   3.00 credits   Seats Available:   29
    Dates:   08/28/2017 - 12/08/2017   Status:   OPEN WITH RESERVES
    Days, Time:   M W F , 2:00 PM - 2:50 PM
    Room:   Clemen 17 view map
    Location:   North Campus      
    Reserve Capacities
    Description Enrollment Capacity Enrollment Total  
    CSE: Seats Reserved 45 11  
    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.
      Instructor(s)
                 Dong, W look up    
      On-line Resources
    Other Courses Taught By: Dong, W