An introduction to the effective use of information systems tools in day-to-day business communications, analysis, and decision making.

Descriptive statistics, topics in probability, statistical inference and modeling. Emphasis on the collection, summarization, analysis, and reporting of numerical findings relevant to business decisions and economic analysis.

Fundamental algorithms and processes used in business information systems. Development and representation of programming logic. Introduction to implementation using a high-level programming language.

Cross-listed course: CSCE 104, ITEC 104

Introduction to the planning, development, and management of Business Information Systems (BIS) and related information technologies in organizations. Topics include hardware, software, database, telecommunications, and the Internet.

Multiple regression, ANOVA, forecasting, quality control, and nonparametric techniques. Emphasis is on the application of these statistical models in business decision making.

Quantitative approaches for managerial problem solving and decision making. Formulation, solution, analysis, and interpretation of spreadsheet-based models for common business decision-making situations. Optimization, simulation, decision analysis.

Advanced topics in management science; stochastic models, nonlinear programming, dynamic programming, Markov processes, and multiple criteria decision models.

Extracting, transforming, visualizing, and analyzing data to support business intelligence and decision making. Business analytics, relational database management, principles and applications of data visualization.

Management of activities/resources that result in the production of competitive goods and services in the global market place. Integrates cross-functional concepts from marketing, finance, and management.

Systematic problem definition, solution formulation, and computer implementation for business and related areas. Internet and database applications. Programming exercises in a high-level programming language.

An examination of the challenges and opportunities associated with the development, management, and use of global information systems.

Graduation with Leadership Distinction: GLD: Global Learning

Current topics, issues and practices in various areas of Management Science. Course may be repeated up to three (3) times as content varies by title.

Course entails learning and applying cutting-edge concepts and techniques of business process analyses to process improvement initiatives such as reengineering, lean, and six-sigma.

Course focuses on the management of service operations, with considerable attention paid to cutting-edge quantitative techniques. Topics covered include facility location, waiting line management, and revenue management, among others.

Course covers skills necessary to pursue sourcing-related careers in manufacturing, services, retailing, and government agencies, including discussion of cutting-edge negotiation and global sourcing strategies pursued in exemplar firms.

Graduation with Leadership Distinction: GLD: Global Learning

Creation and launch of viable businesses using innovation tournaments. Development of problem solving and design skills. Application to real innovation and entrepreneurial hurdles.

This course explores how operations managers can analyze and make decisions regarding the interaction of operations activities on the environment. Students will learn various tools to enable better decision making within the sustainable operations realm.

Analysis and design of business information systems using modern tools, techniques, and methodologies.

Graduation with Leadership Distinction: GLD: Research

This course examines principles governing an integrated supply chain that includes the cross-functional processes of sourcing, inventory management, and logistics. Key tools for managing supply chains will also be discussed.

This course is designed to provide a body of knowledge, technical know-how, and standards for those in the logistics, transportation and distribution industries.

Identifies and explains the principal technologies, concepts, and techniques currently applied in the business data communications field. Current and future hardware and software technologies, networking, protocols, and the OSI Model are covered.

Managing the flow of materials from suppliers to customers; supply chain concepts, terminology, and relationships; processes used to develop operations plans.

Course entails executing projects that apply OSC concepts to solve significant operational or supply-chain problems at simulated or actual firms. Teams write recommendation reports and oversee sourcing strategies pursued in exemplar firms.

Graduation with Leadership Distinction: GLD: Community Service, GLD: Research

Experiential Learning: Experiential Learning Opportunity

An introduction to the qualitative and quantitative approaches to the management of projects as well as a review MS Project software.

Time series analysis and forecasting using the multiple regression and Box-Jenkins approaches.

Statistical procedures for process control including CUSUM and Shewhart Control Charts, and lot acceptance sampling.

Social, technological, commercial, marketing, and political implications of current and impending tends in E-Commerce.

Theory and design of business simulation experiments, development and use of computer simulation models, and analysis of data generated by computer simulation experiments.

Theory and practice of making decisions in an environment of uncertainty; development of skill in the assessment of preferences and probability distributions.

Strategic management and use of information systems in organizations.

Technology overview and principles of database design for business applications. Enterprise database administration and planning. Design exercises and projects using the latest database management systems software.

Calculus and classical optimization methods applied to problems in business and economic analysis; matrices, derivatives, and integrals in the analysis of both univariate and multivariate business and economic models.

Statistics and probability theory applied to problems of business and economic analysis.

Probability and statistics necessary for graduate study in economics and business administration; estimation, hypothesis testing, regression, analysis of variance, and nonparametric methods.

Decision models useful in business and economics; linear programming, sensitivity analysis and duality, network models, integer programming, dynamic programming, inventory and queuing, and simulation.