This course provides a broad introduction to database management systems including data modeling, the relational model, and SQL. Database system implementation issues are covered next, where the focus is on data structures and algorithms used to implement database management systems. Topics include physical data organizations, indexing and hashing, query processing and optimization, database recovery techniques, transaction management, concurrency control, and database performance evaluation. Current research topics in database system implementation are also explored. Programming projects, a term paper, and presentations will be required. Note: Students who take this course may not take CSCI-421 for credit.

This course introduces fundamental concepts of Web services and the Service-Oriented Computing (SOC) paradigm, and reviews seminal work, current research, and modern practices in these areas. Topics in Web Services include XML; reference model (WSDL, UDDI, SOAP); service coordination and composition; and service security and privacy. Big data analytics in SOC will also be covered, such as large scale service data retrieval and storage, service clustering and classification, service recommendation, and service discovery. Students will apply the concepts learned in the class through programming assignments and a comprehensive term project.

This course builds on the principles of computing to introduce students to data analytics techniques commonly performed on digital data sets, using a variety of software tools. Students will learn what constitutes data and its associated social, ethical, and privacy concerns, common data acquisition and preparation techniques, and how to perform exploratory data analysis on real-world datasets from several domains. Common statistical and machine learning techniques, including regression, classification, clustering, and association rule mining will be covered. In addition, students will learn the importance of applying visualization for presenting and analyzing data. Students will be required to demonstrate oral and written communication skills through critical thinking homework assignments and both presenting and writing a detailed report for a project to analyze a data set of their choice. GCCIS majors may take this course only with the students’ home department approval, and may not apply these credits toward their degree requirements.