DSC-Business; Department of Decision Sciences and Management Information Systems
Basic probability. Discrete and continuous distributions. Sampling theory, confidence intervals, and hypothesis testing. Analysis of process data. Simple and multiple regression analysis. Emphasis on computer implementation. Prerequisite: MTH 151 and a high school course in computers or equivalent. Credit not given for both DSC 205 and any other introductory statistics course (for example, STA 261, STA 368).
Multiple regression as related to analysis of business problems. Includes useful regression models, statistical inference (intervals and hypothesis tests) in regression, model building, regression assumptions, remedies for violations of assumptions, applications in experimental design, and time series analysis. Prerequisite: DSC 205 or equivalent.
Examination of business problems from a quantitative model building point of view. Selected models from management science, including linear and nonlinear programming and simulation. Methodologies combined with those from prerequisite courses. Prerequisite: DSC 205.
Students participating in an internship program register for this course during the semester they are on work assignment. Prerequisite: permission of departmental internship coordinator.
Models for managerial decision making under conditions of risk or uncertainty with single or multiple goals. Prerequisite: ACC 222, DSC 205, ECO 201 or 202. Offered infrequently.
Applied statistical techniques useful in estimating parameters of a business population whose underlying distribution is unknown. Chi-square, sign, rank, and runs tests included. Prerequisite: DSC 205 or equivalent. Cross-listed with STA 333.
Statistical procedures used in quality control. Control charts for measurement and attribute data. Process capability studies. Acceptance sampling and other industrial applications. Prerequisite: DSC 205 or STA 363 or STA 368 or equivalent. Cross-listed with STA 365.
A course in computer modeling of business and economic processes. Deterministic and stochastic models of the firm and its components, statistical aspects of business models, Monte Carlo studies, computer languages. Prerequisite: (421) DSC 321; (521) DSC 616 or 618 or permission of instructor.
Survey sampling with application to problems of business research. Simple random sampling, systematic sampling, stratified random sampling, ratio estimation, and cluster sampling. Prerequisite: DSC 291 or STA 363 or STA 401 or permission of instructor. Cross-listed with STA 432.
Completely randomized design, randomized block design, factorial arrangement of treatments, analysis of covariance. Regression approach included. Prerequisite: DSC 305 or equivalent. Offered infrequently.
Applied techniques useful in analyzing and forecasting business time series. Emphasis on Box/Jenkins methodology. Time series regression with autocorrelated errors, exponential smoothing, and classical decomposition are also discussed. Prerequisite: DSC 291 or equivalent.
Intro to multivariate data analysis as applied to business problems in which many variables play an important role. Exploratory data, discriminant, classification, factor, and cluster analysis; multidimensional scaling, and other related techniques. Offered infrequently. Prerequisite: DSC 291.
Issues oriented seminar focused upon significant emerging topics in the decision sciences field. Prerequisite: determined by professor.
491 Introduction to Data Mining in Business (3)
Prerequisite: DSC 291.
Introduces the MBA students to the use of spreadsheets for constructing and using mathematical models of business problems as an aid to the decision making process.
A survey of basic statistics for analysis of business problems; designed for students in the fulltime MBA program.
Discussion of statistical reasoning for managers and statistical methodology most useful for solving business problems. Process control and capability. Simple and multiple regression analysis. Residual analysis and model building. Time series forecasting. Experimental design. For full-time M.B.A. students only.
Presents process of modeling and using quantitative models as an aid for solving business problems. Provides the foundation for employment of modeling and models in all functional areas of business. The pedagogy encourages integration of quantitative methods with content of functional areas of business. For full-time M.B.A. students only.
Study and critical evaluation of operations research techniques from a business administrative viewpoint. Prerequisite: DSC 601, 602, or equivalent.
Applied presentation of statistical techniques employed in business decision making. Analysis and problem solving using computer based statistical programs. Prerequisite: DSC 601, 602, or equivalent.
Statistical methods for analyzing and improving business processes. Advanced control chart methods for eliminating assignable cause variation. Cusum and EWMA charts. Control procedures for autocorrelated process data. Experimental design methods for reducing common cause variation. One-way and two-way ANOVA. Fractional factorial designs. Prerequisite: DSC 615.
Intensive reading or research in a selected field of advanced decision sciences. Prerequisite: graduate standing and permission of instructor.
MIS-Business ; Department of Decision Sciences and Management Information Systems
Focuses on the strategic role of information technology and systems. Topics include: Challenges faced by managers in firms, understanding key technologies and how they help meet these challenges, and the processes, policies and procedures needed to manage technical and digital assets. Prerequisite: CSA 141 or CIT 154 or BTE 181 or successful completion of School of Business skills exam.
Focuses on the use of software development environments to develop object-oriented, data-driven software applications. Special emphasis will be on the advantages and disadvantages of using development toolkits to integrate data retrieval, information presentation, and logic.
An in-depth introduction to the information and communications technology used to build organizational information systems. Students will gain breadth and depth in the technical aspects of the MIS discipline. Prerequisite: MIS 235.
Prerequisite: MIS 235. Corequisite: MIS 387.
An introduction to enterprise systems such as enterprise resource planning (ERP), Supply Chain and customer relationship management (CRM) systems. Both managerial and technological considerations in the implementation and use of these systems within businesses will be explored in depth. Prerequisite: MIS 235.
The foundations of information security and assurance including the principles on which managerial strategy can be formulated and technical solutions can be selected. Prerequisites: MIS 235 or equivalent; ACC 221.
Students participating in an internship program register for this course during the semester they are on work assignment. Prerequisite: permission of departmental internship coordinator.
Examines the critical business issues, technological infrastructure, and contemporary information systems applications required to carry out electronic commerce. Key interactions include business-to-business and business-to- consumer transactions. Prerequisite: MIS 235.
Introduces the life cycle concept in application development and examines contemporary tools that assist the development process. Provides the understanding of business application environment, the systems development life cycle (SDLC), and how SDLC is applied in outsourcing, software purchase and software development situations. Prerequisite: MIS 301.
An introduction to Internet and World Wide Web development technologies. Focus is on the client and server technologies available for this platform. The design and development of applications with these technologies: user interface design, graphics technology and web enabled database technology. Prerequisites: MIS 245, MIS 281, and MIS 301
An introduction to the use of Knowledge Management, with emphasis on how knowledge is gathered, stored, analyzed and used within business organizations. Topics covered include data warehousing, business analytics, data mining. Prerequisites: MIS 245.
Information technology project management theories, techniques, and software tools are taught. Focus is on the problems and methods of conduction projects with special attention to modern information technology and software implementation projects. Prerequisites: MIS 387.
Includes research, reading, writing, and discussion. Independent research on a topic and company from a management information systems (MIS) perspective. Respond to issues or problems raised in cases in an analytic and creative manner. Present topic report and research to class.
Provides accelerated review of important computer concepts and study of new computer technologies. Introduces basic management information and decision support system concepts, characteristics, and design. Addresses strategic use of technology and management responsibilities for planning, development, and operation of MIS. Prerequisite: MIS 235.
Examines existing and emerging information technology (IT) within the organization. The foci of the course are the role IT plays in business processes, the underlying theoretical basis for innovation through IT, methodologies for successful IT innovation, and infrastructure technologies commonly employed and why.
Offers rigorous study of information technology (IT) resources in organizations with an emphasis on electronic commerce technologies. The underlying theme of this course is strategic uses of IT by organizations for operating support, improving productivity, and gaining competitive advantage.
Examines the rapidly emerging trend of integrating business processes across organizational boundaries. The course focus is on the technical issues that arise when integrating information across firms as well as current and emerging technologies and models to accomplish this integration.
Introduction to analysis, management, design, and development of information systems applications. Focus areas include problem/opportunity identification, information gathering, feasibility study, systems analysis, logical and physical design, software management, evaluation and selection, and computer assisted software engineering (CASE). Prerequisite: MIS 625.
Overview of data management concepts and technologies and how they fit into corporate information processing environment. Focus areas are corporate data resource management, database models, design and development of a database and application, and emerging database management systems (DBMS) technology. Prerequisite: MIS 617 or equivalent.
Covers contemporary issues. Provides forum to study and research topics of high interest, concern, and potential impact on MIS. Topics can relate to policy, technology, hardware, software, or other MIS related topics. Requires student to select, research, and report on topics of current interest and importance within MIS area. Prerequisite: MIS 617 or equivalent.
The foundations of information security and assurance including the principles on which managerial strategy can be formulated and technical solutions can be selected.
Contemporary issues. Provides forum to study and research topics of high interest, concern, and potential impact on management information systems. Topics can relate to policy, technology, hardware, software, systems, or other MIS related topics. Requires each student to select, research, and report on topics of current interest and importance within the MIS area Prerequisite: MIS 585 or permission of instructor. Offered infrequently.
