| Home | Reading | Assignment | Team/Project |
This course treats a specific advanced topic of current research interest in the area of spatio-temporal data processing and mining. The main objective of this class is to study research methods and literature in spatial-temporal database systems. Core research skills of literature analysis, innovation, evaluation of new ideas, and communication are emphasized via homework and projects. Most students may like to get a broad overview of the research topics, methodologies, major results, open problems and potential future directions. Major topics include: route prediction, spatio-temporal algorithms and data structures, spatio-temporal networks, geo-web, location-based social networks, and geo-stream databases.
The evaluation scheme will be class participation 10%, paper analysis and presentation - 35%, and project (presentation and written report) - 55%. The class information is listed as follows:
| Instructor | Time | Place | Office Hours |
|---|---|---|---|
| Yan Huang (huangyan at unt.edu) | M 05:00pm-07:50pm | B140 | M 01:30pm-03:30pm |
| Home | Reading | Assignment | Team/Project |
| Home | Reading | Assignment | Team/Project |