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Spatial Time Series2016 Fall

Subject Systems Engineering (SYEN) 4352 Section 01 (CRN: 65026)

Prerequisites: SYEN 3312, SYEN 3314 or STAT 3353, and consent of instructor. Instead of a single stream of data, multiple streams are gathered over the target can provide better information. Because of the inherent spatial correlation among these data streams, spatial time-series can play an important role in multiple-sensor and other data-intensive applications. Image-processing applications include image rectification and restoration, image enhancement, image classification, and data merging. Signal processing applications include Spatial-temporal Autoregressive Moving-Average model and Intervention Analysis. Unifying these diverse analyses and applications is Markov Random Field Theory. Dual-listed in the UALR Graduate Catalog as SYEN 5352. Three hours lecture. Three credit hours.
15 seats available (capacity: 15)
Credit Hours
3

Meeting times and locations

  • Tuesday, Thursday 4:30pm - 5:45pm Engineering & Information Tech 318(Lecture)
    August 17th to December 13th, 2016 (17 weeks)

Instructors

  • Chan, Yu-Po (Primary)

Department

Systems Engineering

College

Donaghey Engr & Info Tech
Cross Listing
This class is also offered as the following cross-listed sections:
  • SYEN 5352 01 (CRN: 65085)
View all Cross-Listed Sections
0