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: spatio-temporal algorithms and data structures, spatio-temporal networks, geo-web, and location-based social networks.
The evaluation scheme will be class participation 10%, paper analysis and presentation - 20%, and project - 40%, term paper - 30%. The class information is listed as follows:
|Yan Huang (huangyan at unt.edu)||M 02:30pm-05:20pm||B157||F251, M 12:30pm-2:30pm|
|Sasi Koneru (SasiKoneru@my.unt.edu)||M 02:30pm-05:20pm||B157||F 208,M 10:00 AM - 2:00 PM|