Geospatial and Temporal and Network Data
BHI-510-ON1
SUNY Oswego
- Semester
- Fall 2026
- Instructor
- Isabelle Bichindaritz
- Start Date
- 08-24-2026
- Total Credits
- 3
- Call to Register
- 315-312-2136
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
The objective of this course is to develop an understanding and practice of geospatial, temporal, and textual data and their analysis for decision analytics and data science in healthcare, health research, and public health. The course provides methods of description, estimation, testing, prediction, and clustering developed for geospatial, temporal, and textual models. Concepts, methods, and applications are emphasized, rather than theory. Topics include spatial statistical inferences, variograms, spatial autoregressive models, time series representation, time series prediction, survival analysis, temporal clustering, spatial clustering, machine learning methods, text summarization, text classification, and text clustering.
Course Area: Computer Science
Level: Graduate
Dates: 08-24-2026 - 12-11-2026
- Find books for your online class
- Instructor: Isabelle Bichindaritz
- Local Course ID: 26FA_OSW_BHI510_1
- Books & Supplies
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