BMGT 430 Linear Statistical Models in Business (3)
Prerequisite: BMGT 230 or BMGT 231 or permission of department.
Model building involving an intensive study of the general linear stochastic model and the applications of this model to business problems. The model is derived in matrix form and this form is used to analyze both the regression and ANOVA formulations of the general linear model.

BMGT 431 Design of Statistical Experiments in Business (3)
Prerequisite: BMGT 230 or BMGT 231.
Surveys ANOVA models, basic and advanced experimental design concepts. Non-parametric tests and correlations are emphasized. Applications of these techniques to business problems in primarily the marketing and behavioral sciences are stressed.

BMGT 434 Introduction to Optimization Theory (3)
Prerequisite: MATH 220; or permission of department. Primarily for students majoring in management science and statistics.
Linear programming, postoptimality analysis, network algorithms, dynamic programming, nonlinear programming and single variable minimization.

BMGT 435 Introduction to Applied Probability Models (3)
Prerequisite: BMGT 231 or permission of department.
Statistical models in management. Review of probability theory, Monte Carlo methods, discrete event simulation, Markov chains, queueing analysis, other topics depending upon time. Guass, a higher-level computer language, will be introduced in the class and the students will carry out various exercises using this language.

BMGT 485 Advanced Production Management (3)
Prerequisite: BMGT 385.
A study of typical problems encountered by the factory manager. The objective is to develop the ability to analyze and solve problems in management control of production and in the formulation of production policies. Among the topics covered are plant location, production planning and control, methods analysis, and time study.

BMGT 486 Total Quality Management (3)
Prerequisite: BMGT 230 or equivalent.
Total Quality Management and the synergy required between functions to obtain the customer's quality demands. Statistical tools which are mandatory in any successful quality effort.

BMGT 490 The Total Quality Practicum (3)
Prerequisite: BMGT 390 or ENES 390. Also offered as ENES 490.
Capstone course for the four course total quality program. Based on a major project undertaken by student teams in an industry environment emphasizing integrative aspects of total quality, each project will be supervised by a joint faculty/industry team with differing areas of expertise. Requires extensive out-of-class work.

BUSI 621 Strategic and Transformational Information Technology (1.50) 
MBA core course elective.
Use of information technology to achieve competitive advantage, efficient operations, and effective decision making. Analysis of functions of information technology and its impact on competitive strategy and organizational operations.

BUSI 622 Digital Markets (1.50)
MBA core course elective.
Use of information technology to achieve competitive advantage, efficient operations, and effective decision making. Analysis of functions of information technology and its impact on competitive strategy and organizational operations.

BMGT 630 Managerial Statistics I (3)
For BMGT majors only or permission of department.
Provides training in statistical reasoning and techniques in a business context. Topics include probability models, sampling, data presentation, estimation, hypothesis testing, multiple regression, analysis of designed data, and tools for data-based decision making in total quality management.

BMGT 631 Operations Research and Management (3)
Prerequisite: BMGT 630.
Application of operations research and operations management concepts to solution of business problems. Emphasis on integrated approach to management decision making.

BMGT 632 Decision Modeling and Analysis (1.50)
Prerequisite: BMGT 630. For BMGT majors only. Not open to students who have completed BMGT 631.
Provides an understanding of the role that quantitative methods have in the making of business decisions. Topics include problem formulation and modeling, linear and integer programming and their application to business and industry, network models and related applications, and project and machine scheduling. PC-based software is used to solve and analyze problems.

BMGT 720 Information Technology and Corporate Transformation (3)
Prerequisite: BMGT 620.
The impact and the enabling role of information technologies (IT) in transforming business and work group and individual processes. Topics include: gaining competitive advantage through IT applications; identifying high pay-off IT applications, and leading the process of IT-induced change process.

BMGT 721 File Processing and Database Systems (3)
For BMGT majors only or permission of department.
Concepts and techniques for structuring data on secondary storage devices. Experience in the use of these techniques. The basic data structures necessary for these techniques. Typical file processing applications.

BMGT 724 Economics of Information Systems (3)
Prerequisite: BMGT 620; or BMGT 721.
Methods for the economic construction and operation of computer systems. Techniques for sizing and costing system components and for optimizing system design. Methods for efficient utilization of computer resources with particular consideration of relevant economic topics such as transfer pricing, joint costs, peak load pricing problems and public goods problems.

BMGT 725 Information Systems Analysis and Design (3)
Prerequisite: BMGT 620; or BMGT 721.
Introduction to practical techniques for information systems and design. Design requirements for information processing systems. Models and tools for requirement analysis. Case studies for actual systems and applications.

BMGT 726 Distributed Data Processing (3)
Prerequisite: BMGT 620; or BMGT 721.
Introduction to distributed data processing concepts. The building blocks of distributed systems: computers, terminals, and communications; the interface and protocols that allow them to function as an integrated system. Major categories of distributed systems; resource-sharingnetworks, multiple-processor networks, and tightly coupled multiprocessors.

BMGT 727 Security and Control of Information Systems (3)
Prerequisite: BMGT 620; or BMGT 721.
The information control risks faced by corporations. Techniques for enhancing the security and integrity of corporate information resources. The auditing and control procedures for corporate information systems. Actual case studies.

BMGT 730 Manufacturing Strategies and Operations (3)
Formulation and implementation of manufacturing strategy, an integral part of the firm's overall competitive strategy. Linkages between operations and other functional areas, and the details of the structure and organization of operations. Examines ways companies can develop and use manufacturing capabilities as a competitive weapon.

BMGT 731 Theory of Survey Design (3)
Prerequisite: BMGT 630.
The usefulness of statistical principles in survey design. The nature of statistical estimation, the differential attributes of different estimators, the merits and weaknesses of available sampling methods and designs, the distinctive aspects of simple random samples, stratified random samples, and cluster samples, ratio estimates and the problems posed by biases and non-sampling errors.

BMGT 732 Total Quality Management (3)
Prerequisite: 12 or more graduate BMGT credits including BMGT 630 or equivalent, or permission of instructor.
Presents the concepts and techniques used in organizational decision making leading to continuous improvement of all processes at all levels to achieve and maintain a total quality culture, including increased satisfaction for internal and external customers.

BMGT 733 Data Analysis for Decision Makers (3)
Modern data analysis methods for managerial decision-making in the information age. Includes techniques for forecasting, clustering, classification, prediction and survey sampling.

BMGT 734 Models for Operations Management (3)
Prerequisites: BMGT 630 and BMGT 631.
Selected models for operations management. Topics covered include simple forecasting methods, workforce planning, inventory control, scheduling, performance evaluation, and quality control.

BMGT 735 Application of Management Science (3)
Prerequisite: BMGT 631.
Selected topics and case studies in the application of management science to decision making in various functional fields.

BMGT 736 Philosophy and Practice of Management Science (3)
Prerequisites: BMGT 630; and BMGT 632.
Critical examination of the philosophy underlining the techniques and methodology of management science from a systems analysis point of view.

BMGT 737 Management Simulation (3)
Prerequisite: BMGT 631.
Methodology of systems simulation, Monte Carlo simulation, and discrete simulation. Verification and validation of simulation models with computer applications.

BMGT 798 Special Topics in Business and Management (3)
Prerequisite: permission of department. Repeatable to 6 credits if content differs.
Selected advanced topics in the various fields of graduate study in business and management. Please go the previously offered 798 courses for further information.

BMGT 808 Doctoral Seminar (3)
Prerequisite: admission to the D.B.A. Program or permission of department. Repeatable if content differs.
Selected advanced topics in the various fields of doctoral study in business and management.

BMGT 823 Data Base Design (3)
Prerequisite: BMGT 721.
The problem of database design in the development of information systems. An integrated database design methodology. Techniques for different phases of database design. Computer-aided tools for data base design.

BMGT 824 Database Systems Architecture (3)
Prerequisite: BMGT 721.
The important design issues in the software architecture of a database management system. Group projects for the purpose of designing and implementing subsystems of a simple relational database system. Database types and applications.

BMGT 825 Knowledge-Based Systems (3)
Prerequisite: BMGT 721. For BMGT majors only.
Use of artificial intelligence techniques in developing knowledge-based systems in Management Information Systems and Decision Support Systems. Knowledge representation formalisms, inference and control mechanisms for data intensive applications, object-oriented systems, expert database systems, intelligent user interfaces for DSS, and special problems (eg. plausible reasoning, non-monotonic reasoning, heterogeneous knowledge bases and explanation support).

BMGT 828 Independent Study in Business and Management (1-9)
Please go to 828 Section Number for further information.

BMGT 830 Operations Research: Linear Programming (3)
Prerequisites: MATH 240 or equivalent; or permission of department.
Concepts and applications of linear programming models, theoretical development of the simplex algorithm, and primal-dual problems and theory.

BMGT 831 Operations Research: Extension of Linear Programming and Network Analysis (3)
Prerequisite: BMGT 830 or equivalent; or permission of department.
Concepts and applications of network and graph theory in linear and combinatorial models with emphasis on computational algorithms.

BMGT 832 Operations Research: Optimization and Nonlinear Programming (3)
Prerequisites: {BMGT 830; and MATH 241; or equivalent}; or permission of department.
Theory and applications of algorithmic approaches to solving unconstrained and constrained non-linear optimization problems. The Kuhn Tucker conditions, Lagrangian and Duality Theory, types of convexity, and convergence criteria. Feasible direction procedures, penalty and barrier techniques, and cutting plane procedures.

BMGT 833 Operations Research: Integer Programming (3)
Prerequisites: {BMGT 830; and MATH 241 or equivalent}; or permission of department.
Theory, applications, and computational methods of integer optimization. Zero-one implicit enumeration, branch and bound methods, and cutting plane methods.

BMGT 834 Operations Research: Probabilistic Models (3)
Prerequisites: {MATH 241; and STAT 400 or equivalent} or permission of department. Theoretical foundations for the construction, optimization, and applications of probabilistic models. Queuing theory, inventory theory, Markov processes, renewal theory, and stochastic linear programming.

BMGT 835 Simulation of Discrete-Event Systems (3)
Prerequisites: Knowledge of Fortran, Basic, C, or Pascal; and BMGT 630 or equivalent. Simulation modeling and analysis of stochastic discrete-event systems such as manufacturing systems, inventory control systems, and computer/ communications networks.

BMGT 836 Advanced Linear Programming (3)
Prerequisite: BMGT 830 or permission of instructor.
Advanced topics in linear programming necessary for solving large-scale applications found in production, manufacturing and distribution, and for conducting theoretical and applied research in these and related areas. Topics include: dual simplex algorithm, degeneracy and cycling, parametric programming, decomposition of large-scale systems, simple and generalized upper-bounded problems, goal-programming, multi-objective linear programming.

BMGT 882 Applied Multivariate Analysis I (3)
Prerequisite: BMGT 733 or equivalent.
Topics include elementary properties of matrices, multivariate distributions, the multivariate linear model, path analysis. The examination of business data using existing computer programs is an integral part of the course.

BMGT 883 Applied Multivariate Analysis II (3)
Prerequisite: BMGT 882.
Topics include discriminant analysis, cluster analysis, principal component analysis, canonical analysis, factor analysis and other current multivariate statistical methods.

BMGT 884 Univariate Forecasting Models (3)
Prerequisite: BMGT 630 or equivalent.
Traditional approaches to forecasting such as trend models and smoothing techniques. Models for stationary and nonstationary time series, their identification, estimation, forecasts and use in a business environment. All students are required to do a project utilizing these models in the analysis of business data.

BMGT 885 Multiple Time Series Model Building (3)
Prerequisite: BMGT 884. Recommended: BMGT 882.
Identification, estimation, and forecasting of dynamic systems, the application of intervention techniques to business problems, and the properties and fitting of multiple time series models to business data. All students are required to do a project using these techniques in analyzing business data.

BMGT 886 Statistical Quality Control (3)
Prerequisite: BMGT 733 or equivalent.
Lot acceptance sampling plans, rectifying inspection, control charts, reliability, dependence fitting, parameter estimation, false and incomplete inspection models, and model verification based on actual data.

BMGT 887 Bayesian Inference and Decision Theory (3)
Prerequisite: BMGT 733 or equivalent.
Bayesian Methodologies in statistical inference and decision theory. Includes discussion of subjective probability and coherence, elicitation of distributions conjugate distributions, estimation, testing, preposterior analysis and regression analysis. Applications are drawn from the functional business areas.

BMGT 899 Doctoral Dissertation Research (1-8)
Please go to 899 Section Number for further information

Courses in Business Analytics

BUDT 725 - Models and Applications in Operations Research
BUDT 732 - Decision Modeling with Spreadsheets (see video)
BUDT 733 - Data Mining for Business
BUDT 736 - Data Mining
BUDT 758x - Games of Strategy (see video)
BUDT 758x - Pricing and Revenue Management (see video)

BUDT 725 Models and Applications in Operations Research (Top of Page)

Credit will be granted for only one of the following: BMGT 735 or BUDT 725. Formerly BMGT 735. Introduction to commonly encountered models and applications in Operations Research. Formulation and interpretation of solutions of linear optimization and network models, special structures and applications. First course in the OR MS and PhD concentration as well as an introduction to non OR-majors of these important and practical topics.

BUDT 732 Decision Modeling with Spreadsheets (Top of Page)

Prerequisites: BUSI 620 and BUSI 671. Credit will be granted for only one of the following: BMGT 732 or BUDT 732. Formerly BMGT 732. The applicability and use of decision and management science models have increased dramatically in recent years due to the extraordinary improvements in computer, information and communication technologies. These developments in hardware and user interfaces such as spreadsheets have been complemented by the availability of large volumes of data, such as the automatic capture of point-of-sale information, and easy access to large databases. Personal computers and friendly interfaces have become effective "delivery vehicles" for powerful decision models that were once the exclusive province of experts. In this course, we will examine ways in which complex managerial problems can be tackled with decision models using spreadsheets. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.

BUDT 733 Data Mining for Business (Top of Page)

Prerequisite: BUSI 630. Credit will be granted for only one of the following: BMGT 733 or BUDT 733. Formerly BMGT 733. A second level course managerial decision-making using contemporary methods of data analysis. Specific techniques covered in this course include [1] time series forecasting (e.g., for forecasting sales; financial series), [2] classification methods (e.g., for credit rating; in consumer behavior), [3] clustering methods (e.g., for market segmenting; for industry analysis), and [4] methods for visualization of multidimensional data sets (such as financial or customer databases). Theoretical issues will be either avoided or minimized. The emphasis is on understanding the applications of these techniques to specific decision-making situations encountered in consulting, marketing, finance, management and strategy. Upon successful completion of the course, a student should possess practical analytical skills that will provide him or her with a competitive edge in almost any contemporary managerial workplace.

BUDT 736 Data Mining (Top of Page)

Prerequisite: BUSI 630. Recommended: BUDT 704. Contemporary methods and processes for extracting information from large databases in support of tactical and strategic business decisions. Applications in areas such as customer relationship management, direct marketing, e-commerce, financial services and retailing.

BUDT 758x Games of Strategy (Top of Page)

Pre-requisites: BUSI 681, BUSI 690. Course draws on insights from the field of game theory to explore decision making in a competitive (or interactive) environment. Topics and applications include: sequential and simultaneous games; pricing and promotions in oligopolies; preemptive capacity decisions; entry/exit decisions; signaling; contracts and alignment of incentives in compensation design, corporate governance and in supply chains; the role of credibility.

BUDT 758x Pricing and Revenue Management (Top of Page)

Revenue (or yield) management (RM) first emerged in the post-deregulation US airline industry, and hit the jackpot in the mid 90's with American Airlines RM scoring $1 billion annual incremental revenues (almost 100% profit). The business strategy reformed the entire transportation and tourism industry, as well as telecommunications, broadcasting, ticketing, healthcare, fashion, manufacturing etc. Recently RM evolved to a new dimension with internet companies practicing dynamic and targeted pricing or auctions for products, services or advertisement slots. The WSJ identifies RM as "The number one emerging business strategy, a practice poised to explode"; the internet stands as a stimulating environment behind this explosion. Any business that has a fixed capacity and a perishable product or service is a candidate for revenue management, as long as customers vary in their willingness to pay.

A specialized course on dynamic pricing and revenue management is meant to provide you with the right bundle of tools and principles, drawn from several disciplines (Operations, Microeconomics, Decision Modeling, Statistics, Marketing, IS) in order to maximize profits. The RM solution integrates pricing with sales and inventory management strategies. The first part of the course addresses pricing issues (pricing under various constraints, non-linear pricing, markdown pricing), from a combined economics and marketing perspective. The second part of the course provides tools and methods for combined pricing and capacity management decisions from an operational perspective.

Courses in Information Systems

BUDT 703 - Modeling and Designing IT Systems
BUDT 704 - Data Management Systems
BUDT 705 - Telecommunications and the Internet (see video)
BUDT 710 - Information Technology & Corporate Transformation (see video)
BUDT 713 - Security and Control of Information Systems
BUDT 736 - Data Mining
BUDT 758 - Project Management in Dynamic Environments
BUDT 780 - Digital Business Models and Technology
BUSI 790 - Management of Technology

BUDT 703 Modeling and Designing IT Systems  

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 703 or BMGT 725. Formerly BMGT 725. Provides a solid foundation in the concepts, processes, tools, and techniques needed in systems development. Topics covered include process and data modeling, requirement analysis, object oriented design, user interface design, ERP and package implementation, and designing for the Web.

BUDT 704 Data Management Systems  

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 704 or BMGT 721. Formerly BMGT 721. Provides fundamental concepts and skills necessary for designing, building, and managing business applications which incorporate database management systems as their foundation. Topics covered include the fundamentals of database management (DBMS) technology, alternative methods for modeling organizational data, the application of delivering data through Web-based and other graphical interfaces.

BUDT 705 Telecommunications and the Internet  

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 705 or BMGT 726. Formerly BMGT 726. Course focuses on helping the IT professional understand the technological, organizational, and managerial issues related to effective use of distributed computer networks such as the Internet. Topics include the evaluations of technologies for specific contexts and how to make investment recommendations. Also examines the economic factors that drive convergence and the powerful economic effects of open standard and connectivity.

BUDT 710 Information Technology & Corporate Transformation

Co-requisite: BUSI 620. The impact and the enabling role of information technologies (IT) in transforming business and work group and individual processes. Topics include gaining competitive advantage through IT applications; identifying high pay-off IT applications, and leading the process of IT-induced change process.

Co-requisite: BUSI 620. For BMGT majors only. Credit will be granted for only one of the following: BUDT 713 or BMGT 727. Formerly BMGT 727. The information control risks faced by corporations. Techniques for enhancing the security and integrity of corporate information resources. The auditing and control procedures for corporate information systems. Actual case studies.

BUDT 736 Data Mining

Co-requisite: BUSI 620. Recommended: BUDT 704. Contemporary methods and processes for extracting information from large databases in support of tactical and strategic business decisions. Applications in areas such as customer relationship management, direct marketing, e-commerce, financial services and retailing.

BUDT 758 Project Management in Dynamic Environments

A great deal of knowledge work performed in today's organizations is project-based. Thus project management skills are crucial to the performance of most managers. While project management techniques are well established, the turbulent environment faced by many projects presents unique challenges to the project manager.

This course teaches the basics of project management as codified in the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK). Covering the PMBOK facilitates preparation for PMI certification. In addition to the PMBOK, the course examines how this knowledge may be applied to technology-related projects. Participants also gain experience using project management tools and managing projects using a project management simulation.

Although no significant technology background is required for the class (a small amount of class time will be devoted to relevant technology), students will be expected to be proficient in quantitative models and oral presentations. During the course, teams will be running a web-based project management simulation; the simulator is integrated with Microsoft Project.

Topics Include:

»	Project organization
»	Time and cost estimation
»	Managing quality and risks
»	Project Staffing
»	Challenges of managing IT projects
»	Project Management tools

BUDT 780 Digital Business Models and Technology

Prerequisite: BUSI 620. Course examines how today's firms must exploit the unique opportunities that are appearing online and simultaneously respond to the online threats to their existing business model. Topics include: economics of new information products, online shopping, one-on-one marketing, electronic distribution, net-enabled transactions, supply chain integration, and electronic communities. Course also provides an overview of the technological infrastructure that enables electronic commerce.

BUSI 790 Management of Technology

Prerequisite: None. Students are introduced to a variety of strategic and operational issues that arise when managing in the presence of technological innovation, and provide techniques to approach these issues. Topics include the formulation of innovation strategies, technology diffusion and forecasting, the process of developing new products and services, productivity measurement, and the implementation of process technologies aimed at improving productivity (manufacturing and services)

Courses in Operations Management

BUDT 724 - Operations Management
BUDT 732 - Decision Modeling with Spreadsheets (see video)
BUDT 758x - Pricing and Revenue Management
BUDT 758x - Project Management in Dynamic Environments
BUDT 758x - Six Sigma
BUSI 790 - Management of Technology

BUDT 724 Operations Management (Top of Page)

Prerequisites: BUSI 630. Credit will be granted for one of the following: BUSI 724 or BMGT 734. Formerly BMGT 734. This course covers concepts of operations management applied to both manufacturing and services, and can be divided into two broad areas. The first area includes operations strategy, process analysis and design, which include analysis of process flows and bottlenecks, waiting time models, and statistical quality control. The second is supply-chain management, which includes forecasting, JIT, linear programming, and advanced topics in inventory management.

BUDT 732 Decision Modeling with Spreadsheets (Top of Page)

Prerequisites: BUSI 620 and BUSI 671. Credit will be granted for one of the following: BUSI 732 or BMGT 732. Formerly BMGT 732. The applicability and use of decision and management science models have increased dramatically in recent years due to the extraordinary improvements in computer, information and communication technologies. These developments in hardware and user interfaces such as spreadsheets have been complemented by the availability of large volumes of data, such as the automatic capture of point-of-sale information, and easy access to large databases. Personal computers and friendly interfaces have become effective "delivery vehicles" for powerful decision models that were once the exclusive province of experts. In this course, we will examine ways in which complex managerial problems can be tackled with decision models using spreadsheets. Includes linear and nonlinear optimization models, decision making under uncertainty and simulation models.

BUDT 758x Pricing and Revenue Management (Top of Page)

Prerequisite: BUSI 630 and BUSI 650. Revenue (or yield) management (RM) first emerged in the post-deregulation US airline industry, and hit the jackpot in the mid 90's with American Airlines RM scoring $1 billion annual incremental revenues (almost 100% profit). The business strategy reformed the entire transportation and tourism industry, as well as telecommunications, broadcasting, ticketing, healthcare, fashion, manufacturing etc. Recently RM evolved to a new dimension with internet companies practicing dynamic and targeted pricing or auctions for products, services or advertisement slots. The WSJ identifies RM as "The number one emerging business strategy, a practice poised to explode"; the internet stands as a stimulating environment behind this explosion. Any business that has a fixed capacity and a perishable product or service is a candidate for revenue management, as long as customers vary in their willingness to pay.

A specialized course on dynamic pricing and revenue management is meant to provide you with the right bundle of tools and principles, drawn from several disciplines (Operations, Microeconomics, Decision Modeling, Statistics, Marketing, IS) in order to maximize profits. The RM solution integrates pricing with sales and inventory management strategies. The first part of the course addresses pricing issues (pricing under various constraints, non-linear pricing, markdown pricing), from a combined economics and marketing perspective. The second part of the course provides tools and methods for combined pricing and capacity management decisions from an operational perspective.

BUDT 758x Project Management in Dynamic Environments (Top of Page)

A great deal of knowledge work performed in today's organizations is project-based. thus project management skills are crucial to the performance of most managers. While project management techniques are well established, the turbulent environment faced by many projects presents unique challenges to the project manager.

This course teaches the basics of project management as codified in the Project Management Institute's (PMI) Project Management Body of Knowledge (PMBOK). Covering the PMBOK facilitates preparation for PMI certification. In addition to the PMBOK, the course examines how this knowledge may be applied to technology-related projects. Participants also gain experience using project management tools and managing projects using a project management simulation.

Although no significant technology background is required for the class (a small amount of class time will be devoted to relevant technology), students will be expected to be proficient in quantitative models and oral presentations. During the course, teams will be running a web-based project management simulation; the simulator is integrated with Microsoft Project.

Topics Include:

»	Project organization
»	Time and cost estimation
»	Managing quality and risks
»	Project Staffing
»	Challenges of managing IT projects
»	Project Management tools

Six Sigma's DMAIC (define-measure-analyze-improve-control) breakthrough improvement strategy and methods are addressed with the intent of providing both understanding and applications level knowledge. Target level of content mastery upon course completion is comparable to 'Six Sigma Black Belt' and requirements include completion of a project that is 'six sigma greenbelt' level.

BUSI 790 Management of Technology

Prerequisite: None. Students are introduced to a variety of strategic and operational issues that arise when managing in the presence of technological innovation, and provide techniques to approach these issues. Topics include the formulation of innovation strategies, technology diffusion and forecasting, the process of developing new products and services, productivity measurement, and the implementation of process technologies aimed at improving productivity (manufacturing and services)