(*) Indicates required courses.
(*) DSBA 5122 Visual Analytics (3) Cross-listed as ITCS 5122. Prerequisite: STAT 1220, STAT 1221, STAT 1222, STAT 2122, STAT 2223, or approval of the instructor. Introduces the new field of visual analytics, which integrates interactive analytical methods and visualization. Topics include: critical thinking, visual reasoning, perception/cognition, statistical and other analysis techniques, principles of interaction, and applications. (Fall, Spring)
DSBA 5510 Web Mining (3) Cross-liested as ITCS 5510. Topics include: measuring and modeling the Web; crawling, Web search and information retrieval; unsupervised learning, supervised learning, semi-supervised learning in Web context; social network analysis and hyperlink analysis; text parsing and knowledge representation.
(*) DSBA 6100 Big Data Analytics for Competitive Advantage (3) Cross-listed as HCIP 6103 and ITCS 6100. Prerequisite: Full graduate standing and enrollment in the DSBA PSM or Graduate Certificate. An introduction to the use of big data as a strategic resource. A focus is placed on integrating the knowledge of analytics tools with an understanding of how companies leverage data analytics to gain strategic advantage. A case approach is used to emphasize hands-on learning and a real-world view of big data analytics. (Fall, Spring)
DSBA 6155 Knowledge-Based Systems (3) Cross-listed as ITCS 6155. Prerequisite: DSBA 6162 or permission of department.Knowledge systems; knowledge discovery; association rules; action rules, hierarchical classifiers, cascade classifiers, query languages and their semantics; cooperative and collaborative systems; ontology and metadata; flexible query answering; chase algorithms and data sanitization methods; decision support systems in medicine; and automatic indexing of music. (Spring)
(*) DSBA 6156 Machine Learning (3) Cross-listed as ITCS 6156. Prerequisite: ITCS 6150 or permission of department. Machine learning methods and techniques including: acquisition of declarative knowledge; organization of knowledge into new, more effective representations; development of new skills through instruction and practice; and discovery of new facts and theories through observation and experimentation. (Fall)
DSBA 6162 Knowledge Discovery in Databases (3) Cross-listed as ITCS 6162. Prerequisite: DSBA 6160 or permission of department. The entire knowledge discovery process is covered. Topics include: setting up a problem, data preprocessing and warehousing, data mining in search for knowledge, knowledge evaluation, visualization and application in decision making. A broad range of systems, such as OLAP, LERS, DatalogicR+, C4.5, AQ15, Forty-Niner, CN2, QRAS, and discretization algorithms are discussed.
(*) DSBA 6160 Database Systems (3) Cross-listed as HCIP 6160 and ITCS 6160. Prerequisite: ITCS 6114 or permission of department.The modeling, programming, and implementation of database systems. Focuses on relational database systems, but may also address non-relational databases or other advanced topics. Topics include: (1) modeling: conceptual data modeling, ER diagram, relational data model, schema design and refinement; (2) programming: relational algebra and calculus, SQL, constraints, triggers, views; (3) implementation: data storage, indexing, query execution, query optimization, and transaction management; and (4) advanced: semi-structured data model, XML, and other emerging topics. (Fall, Spring)
(*) DSBA 6201 Business Intelligence and Analytics (3) Cross-listed as MBAD 6201. Prerequisite: MBAD 5121 or equivalent. An overview of the business approach to identifying, modeling, retrieving, sharing, and evaluating an enterprise's data and knowledge assets. Focus is on the understanding of data and knowledge management, data warehousing, data mining (including rule-based systems, decision trees, neural networks, etc.) and other business intelligence concepts. Covers the organizational, technological and management perspectives. (Fall, Spring)
(*) DSBA 6211 Advanced Business Analytics (3) Cross-listed as MBAD 6211. Pre-requisite: DSBA 6201 or ITCS 6162 or consent of the department. An in-depth study of applications of data analytics techniques to discover non-trivial relationships that are useful and actionable to decision makers. A case approach will be used to emphasize hands-on learning and real-world deployment of business analytics. (Fall, Spring)
(*)DSBA 6276 Consumer Analytics (3) Cross-listed as MBAD 6276. Prerequisite: MBAD 6270 or permission of the department. The utilization of analytics techniques in marketing decision-making and consumer strategy. This involves the extraction of hidden insight about consumers from structured and unstructured Big Data, and the translation of that insight into a market advantage. Applications in areas such as consumer targeting, product innovation and promotion strategy (Fall)
(*) DSBA 6400 Internship (3) Prerequisite: Completion of 21 credit hours of core course requirements. A data science or business analytics project is chosen and completed under the guidance of an industry partner. Each student’s internship project program must be approved by the program director. A proposal form must be completed and approved prior to registration and the commencement of the internship. A mid-term report and a final report to be evaluated by the industry partner and supervising faculty. Grading will be by the supervising faculty in consultation with off-campus supervisor at the internship organization. Graded on a Pass/No Credit basis. (Fall, Spring, Summer)
DSBA 5121 Information Visualization (3) Cross-listed as ITCS 5121. Prerequisite: Graduate standing. Information visualization concepts, theories, design principles, popular techniques, evaluation methods, and information visualization applications. (Spring)
DSBA 5510 Web Mining (3) Cross-listed as ITIS 5510. Pre- or corequisites: ITIS 5160 and full graduate standing, or permission of department. Topics include: measuring and modeling the Web; crawling, Web search and information retrieval; unsupervised learning, supervised learning, semi-supervised learning in Web context; social network analysis and hyperlink analysis; text parsing and knowledge representation. (Spring)
DSBA 6112 Graduate Econometrics (3) Cross-listed as ECON 6112. Prerequisites: Admission to graduate program and permission of program coordinator. Advanced study of the theory and application of statistics to economic problems. Topics include: derivation of least-squares estimators; maximum likelihood estimation; and problems of multicollinearity, heteroskedasticity, and autocorrelation. (Fall, Spring)
DSBA 6115 Statistical Learning with Big Data (3) Cross-listed at STAT 6115. Prerequisites: STAT 5110 or permission of department. A survey of major statistical learning concepts and methods for big data analysis, including both supervised and unsupervised learning such as resampling methods, support vector machines, model selection and regularization, tree-based methods and ensembles, and statistical graphics. Students learn how and when to apply statistical learning techniques, their comparative strengths and weaknesses, and how to critically evaluate the performance of learning algorithms in case studies in financial investment, gene identification, and feature selection in high-dimensional spaces. (Fall)
DSBA 6122 Decision Modeling & Analysis via Spreadsheets (3) Cross-listed as MBAD 6122. Prerequisite: MBAD 5141 or equivalent. An analytical approach to the management process. Generalized models for decision making with major emphasis on application of the scientific method to management problems. (Fall, Spring)
DSBA 6155 Knowledge Based Systems (3) Cross-listed as ITCS 6155. Prerequisite: ITCS 6162 or permission of department. Knowledge systems; knowledge discovery; association rules; action rules, hierarchical classifiers, cascade classifiers, query languages and their semantics; cooperative and collaborative systems; ontology and metadata; flexible query answering; chase algorithms and data sanitization methods; decision support systems in medicine; and automatic indexing of music. (Spring)
DSBA 6162 Knowledge Discovery in Databases (3) Cross-listed as ITCS 6162 and HCIP 6162. Prerequisite: DSBA 6160 and full graduate standing and enrollment in the DSBA PSM. The entire knowledge discovery process is covered in this course. Topics include: setting up a problem, data preprocessing and warehousing, data mining in search for knowledge, knowledge evaluation, visualization and application in decision making. A broad range of systems, such as OLAP, LERS, DatalogicR+, C4.5, AQ15, Forty-Niner, CN2, QRAS, and discretization algorithms will be covered. (On Demand)
DSBA 6190. Cloud Computing for Data Analysis (3) Cross-listed as ITCS 6190 and ITCS 8190. Prerequisites: ITCS 6114 or permission of department, familiarity with Java, Unix, Data Structures and Algorithms, Linear Algebra, and Probability and Statistics; good programming skills and a solid mathematical background. Introduction to the basic principles of cloud computing for data-intensive applications. Focuses on parallel computing using Google’s MapReduce paradigm on Linux clusters, and algorithms for large-scale data analysis applications in web search, information retrieval, computational advertising, and business and scientific data analysis. Students read and present research papers on these topics, and implement programming projects using Hadoop, an open-source implementation of Google’s MapReduce technology, and related NoSQL technologies for analyzing unstructured data. (Fall)
DSBA 6207 Business Project Management (3) Cross-listed as MBAD 6207. Project management is widely used in a variety of business environments to manage complex, non-routine, endeavors. Examples of projects include consulting and process improvement projects, advertising projects, and technology projects. This course focuses on tools, techniques and skills for business project management, with attention to both the quantitative and the qualitative aspects of project management. Major topics include project evaluation, estimation, monitoring, risk management, audit, managing global projects, outsourcing and project portfolio management. Students will also gain experience using Project Management Software. (Spring)
DSBA 6208 Supply Chain Management (3) Cross-listed as MBAD 6208. Prerequisites: MBAD 6141 or permission of the department. Supply chain management is concerned with all of the activities performed from the initial raw materials to the ultimate consumption of the finished product. From a broad perspective, the course is designed to examine the major aspects of the supply chain: the product flows; the information flows; and the relationships among supply chain participants. The course content is interdisciplinary in nature and will cover a variety of topics such as supply chain information technologies, supply chain design, strategic alliances between supply chain participants and supply chain initiatives. (Fall, On demand)
DSBA 6213 Applied Healthcare Business Analytics (3) Cross-listed as MBAD 6213 and HCIP 6213. Focuses on applying business analytics within the healthcare setting. Students learn analytical tools used to synthesize big data into meaningful management information that is used in making key business decisions that impact the delivery of healthcare services. Case studies are utilized to prepare students for delivering boardroom level presentations of their findings. (On Demand)
DSBA 6277 Social Media Marketing and Analytics (3) Cross-listed as MBAD 6277. Prerequisite: MBAD 6270 or permission of the department.. The utilization of social media in marketing strategy and tactics. Topics include the use of social media in building brand strength and equity, as a customer acquisition tool and as a customer relationship management tool. The utilization of analytics in effective social media marketing. (Spring)
DSBA 6278 Innovation Analytics (3) Cross-listed as MBAD 6278. Prerequisite: MBAD 6270 or permission of the department.. The comprehension and application of text analytics as a tool to examine unstructured qualitative information to generate innovations. Identifying the various sources of consumer insight and using them in innovation strategy. Understand how to differentiate between what consumers want versus what they say. (Spring)
DSBA 6500 Complex Adaptive Systems (3) Cross-listed as ITCS 8500, ITIS 6500, and ITIS 8500. Prerequisite: Permission of instructor. Complex adaptive systems (CAS) are networked (agents/part interact with their neighbors and, occasionally, distant agents), nonlinear (the whole is greater than the sum of its parts), adaptive (the system learns to change with its environment), open (new resources are being introduced into the environment), dynamic (the change is a norm), emergent (new, unplanned features of the system get introduced through the interaction of its parts/agents), and self-organizing (the parts organize themselves into a hierarchy of subsystems of various complexity). Ant colonies, networks of neurons, the immune system, the Internet, social institutions, organization of cities, and the global economy are a few examples where the behavior of the whole is much more complex than the behavior of the parts. Examples of current research efforts are provided. Topics include: Self-organization; emergent properties; learning; agents; localization effect; adaptive systems; nonlinear behavior; chaos; complexity. (On demand)
DSBA 6520 Network Science (3) Cross-listed as IT IS 6520. Network Science helps students design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. This course integrates concepts across computer science, biology, physics, social network analysis, economics, and marketing.. (On Demand).
DSBA 6530 System Dynamics (3) Cross-listed as IT 6530. Introduction to systems thinking and the systems dynamics world view, tools for eliciting and mapping the structure and dynamics of complex systems, tools for modeling and simulation of complex systems, and procedures for testing and improving models. Helps students outline and evaluate dynamic relationships and factors that influence organizations' performance, market position, decision-making, and policy evaluations. Integrates concepts across information systems, computer science, business, engineering, economics, and social sciences. Based on 3-hour weekly lectures and hands-on project assignment. (Fall)