2013-2014 Graduate Catalog Downloadable PDF (10.71MB)

Course Descriptions/Information and Operations Management 469636. Decision Support Systems. (3-0). Credit 3. Use of decision support systems in business-related decisionmaking, business environment, use of models, user interface with decision support systems anddecision support systems examples. Classification 6 students may not enroll in this course. Prerequisite:INFO 303 or equivalent.637. Data Warehousing. (3-0). Credit 3. Provides an understanding of the process by which a data warehousesystem is designed and developed along with the underlying concepts and software systems;includes OLAP models and their differences with standard OLTP models. Prerequisite: INFO 628 orapproval of instructor.638. Information Technology in Supply Chain Management. (3-0). Credit 3. Review, evaluate, andcontribute to the existing knowledge base regarding the management of information flows from automaticidentification systems such as RFID. Prerequisites: ISEN 615 and PhD students or Mastersstudents with a thesis degree plan or approval of instructor.639. Corporate Information Planning. (3-0). Credit 3. Concepts regarding the design and use of computer-basedmanagement information and decision support systems; combinations of computing hardwareand software and design concepts evaluated to meet managers’ information needs. Classification 6 studentsmay not enroll in this course. Prerequisites: INFO 628 or equivalent or approval of instructor.642. Customer Relationship Management and Technologies. (3-0). Credit 3. Theory and applicationof information technology in customer relationship management, construction of CRM infrastructuresin organizations. Prerequisite: INFO 628.644. Business Process Design. (3-0). Credit 3. Introduction to business process design and analysis; toolsand techniques to document, analyze and improve business processes; Six Sigma process design andimprovement; process metrics; computer simulation of processes; aligning business process with organizationalgoals and objectives; and case study of real world business problems. Prerequisites: Graduateclassification or approval of instructor; INFO 614, INFO 660 or approval of instructor.645. E-Commerce Technologies. (3-0). Credit 3. Theory and application of constructing E-Commercesites, including n-tier architecture and technologies, web servers, server interactions with databases, andtransaction managers. Prerequisite: INFO 628 or equivalent.646. E-Services. (3-0). Credit 3. Examines the deployment and utilization of information technologies bybusinesses, governments and not-for-profit organizations to deliver services, with applications in bankingand financial advisory services, healthcare, and federal, state and local governments. Prerequisite:INFO 629.647. Information Systems Sourcing. (3-0). Credit 3. Identify the challenges of information systemssourcing, as well as the costs, risks, rewards, and strategies involved in sourcing situations; focus onglobal sourcing of professional services, including IT, business process, and knowledge process outsourcing;issues such as vendor management, legal issues, distributed work teams, and comparing alternativesourcing strategies. Prerequisites: INFO 633 or equivalent or approval of instructor; graduateclassification in business.648. Advanced Data Management. (3-0). Credit 3. Data/database management and advanced SQL techniques;issues of data security, backup and recovery, large scale databases, master data management,concurrent user data access, scalability, and policies. Prerequisites: INFO 628 or equivalent; graduateclassification in business.650. Business Data Mining. (3-0). Credit 3. Rationale for business Data Mining through case studies ofbusiness applications; process of data mining by using commercial Data Mining software on very largedata sets; half of the course devoted to lab training in the use of Data Mining software including SASEnterprise Miner and SPSS Clementine. Prerequisite: STAT 652 or approval of instructor.655. Forecasting Methods and Applications. (3-0). Credit 3. Development of statistical models for describingbusiness trends and economic fluctuations, generation of forecasts and error limits, evaluationof forecasts; applications to economic data arising in business. Classification 6 students may not enrollin this course. Prerequisite: STAT 652 or equivalent or approval of instructor.657. Methods in Multivariate Analysis. (3-0). Credit 3. Multivariate extensions of the chi-square andt-tests, discrimination and classification procedures; applications to diagnostic problems in biological,medical, anthropological and social research; multivariate analysis of variance, principal component andfactor analysis, canonical correlations. Classification 6 students may not enroll in this course. Prerequisites:MATH 423 and STAT 602 or 608 or approval of instructor. Cross-listed with STAT 636.