INFO531 Management Information Systems (3 semester hours)
This course addresses information systems, to include their nature and role as key management resources. This course covers the information systems infrastructure, to include databases, knowledge management systems, enterprise information portals, telecommunications, the Internet, and wireless technology. It examines the topics of e-commerce, information systems in the global economy, managing global systems, securing information systems, and ethical and social issues in information systems.
INFO620 Enterprise Database Systems (3 semester hours)
This course examines the principles, practices, and methodologies of enterprise database systems from conceptual design to implementation; this includes architectures, models, design, management, implementation, and security. Included is a total life-cycle database design and implementation project that entails conceptual design, data modeling, normalization, optimization, and implementation. This course appraises object-relational and relational databases, examines Entity-Relationship (ER), Extended Entity-Relationship (EER), and Unified Modeling Language (UML) data models, and investigates relational procedures, dependencies, keys, relationships, cardinality, and referential integrity. It also evaluates query processing, performance tuning, transaction processing, concurrency, data integrity, database recovery, data security, data warehousing, data mining, and emerging technologies. Prior knowledge in a procedural database language such as PL/SQL or T/SQL using Oracle or MSSQL respectively is highly recommended.
INFO640 Data Warehousing and Decision Support Systems (3 semester hours)
This course appraises emerging data warehousing technologies that play a strategic role in giving business organizations the competitive edge. This course assesses phases, processes, strategies, deliverables, and challenges of the extract, transform, and load (ETL) process to populate data warehouses to enable data analysis. It analyzes the principles of data modeling for multi-dimensional databases and it assesses the processes, practices, and tools of Master Data Management (MDM) to aggregate, assure quality, persist and distribute data. It examines data mining techniques and the process used to facilitate decisions and to find patterns and relationships in data. The course analyzes the principles of decision sciences, decision support systems and architectures, decision process models, computer-supported decision making, decision tables, and decision trees, and applies these principles to improve organizational performance.