CSE532: Theory of Database Systems (Stony Brook University)

This course covers recent advances in data management systems. Topics include complex queries and optimizations, XML data management, spatial data management, distributed and parallel databases, NoSQL databases, and MapReduce based data processing systems. We will discuss the foundations of data models, transaction models, storage, indexing and querying methods for these data management systems. We will demonstrate real world databases with biomedical data, geospatial data and/or social media data.

Prerequisites: CSE 302 or equivalent, or permission of the instructor.

CSE393: Introduciton to Biomedcial Informatics

Biomedical informatics (BMI) is the interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving, and decision making, motivated by efforts to improve human health. The course will cover the fundamentals of biomedical informatics, including Electronic Health Records, biomedical and healthcare data management and standards, medical imaging informatics, medical image analysis, bioinfromatics, and public health informatics and GIS.

BMI 513: Imaging Informatics

Imaging Informatics is a multidisciplinary field which intersects clinical informatics, medical physics, engineering, computer and information sciences. It touches concepts across the whole imaging chain, including image creation and acquisition, image distribution and management, image storage and retrieval, image processing, analysis and understanding, image visualization and interpretation. The goals of the course are to gain familiarity with the terminology, core concepts, and standard practices, understand the current state of the field and enable critical reading of the literature and to perform research. The course will cover both radiological imaging and pathology imaging. Topics include: radiological imaging modalities, DICOM standards, image management and PACS systems, image exchange and IHE, image processing techniques, content based image retrieval, structured reporting and annotations, image visualization, digital pathology and analytical pathology imaging. The course will also cover emerging technologies in Imaging Informatics.