Operations, Business Analytics, and Information Systems Course Descriptions

The courses offered by the OBAIS Department are listed separately for the Business Analytics (BANA), Information Systems (IS) and Operations Management (OM) course designators. Both undergraduate and graduate courses are listed, with indication of whether the credit is undergraduate (U) or graduate (G).

Business Analytics

Business Analytics courses
Course No. Course Title Description
BANA1050 Sports by the Numbers This course will serve as an introduction to sports analytics for students of all backgrounds. We will use ideas popularized from such readings as Moneyball and similar references on sports analytics to examine questions such as: "Who is the best QB in the NFL? Is there such a thing as home field advantage? And if so, why? Should football coaches go for it more on 4th down?" This course will use very simple math and an assortment of popular readings to demonstrate the power of analytics to analyze sports. Students will not need any advanced skills above basic algebra to understand the concepts in this course. Credit Level:U Credit Hrs:3 Baccalaureate Competency: Critical Thinking.
BANA2071 Fundamentals of Statistics Principles and techniques of collecting, analyzing, and interpreting quantitative data. Topics include descriptive statistics, continuous probability distributions, interval estimation, hypothesis testing involving means, proportions, independence, and linear regression. This course is intended for the Associate of Applied Business (AAB) program, and does not apply toward a Bachelors in Business Administration (BBA). Credit Level:U Credit Hrs:3
BANA2080 Business Statistics This course introduces statistical thinking and statistical methods to business students. Topics include descriptive statistics, data visualization, probability distributions, sampling, confidence intervals, hypothesis testing and linear regression. Credit Level:U Credit Hrs:5 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking.
BANA2081 Business Analytics I This course develops fundamental knowledge and skills for applying statistics to business decision making. Topics include descriptive statistics, probability distributions, sampling, confidence intervals and hypothesis testing and the use of computer software for statistical applications. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. BoK:QR. TouchPoint:MidCollegiate Baccalaureate Competency: Critical Thinking, Effective Communication.
BANA2082 Business Analytics II This course is a continuation of BANA 2081. It further develops fundamental knowledge and skills for applying statistical and management science models to business decision making. Topics include simple and multiple linear regression, contingency tables, chi-square tests, ANOVA, decision analysis, simulation and risk models and optimization models, including the use of software for business applications. Credit Level:U Credit Hrs:3.  Pre-req: See your college advisor for details. BoK:QR. TouchPoint: MidCollegiate Baccalaureate Competency: Critical Thinking, Effective Communication.
BANA3060 Sports Analytics This course examines the use of analytics in sports. The course will introduce a variety of analytics methods and problem solving methodologies using sports applications as motivating examples. The goal is to help students become more familiar and more interested in problem solving and quantitative methods. Many students already spend much of their time following and participating in sports. We will use sports examples to introduce the power and relevance of formal problem solving and quantitative methods. We will use mathematical techniques from statistics, economics and operations research in our analysis. Previous background in statistics will be helpful. Credit Level:U Credit Hrs:3 Baccalaureate Competency: Critical Thinking, Effective Communication.
BANA4080 Data Mining and Analysis The study of data mining and analysis techniques as applied to problems in business and industry. Topics may include, but are not limited to, data visualization, advanced regression techniques, neural networks, cluster analysis, classification, discriminant analysis, and predictive modeling. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
BANA4085 Spreadsheet Analytics This course is designed to advance analytical skills for business decision making in the spreadsheet environment. Topics include modeling techniques, spreadsheet auditing, advanced spreadsheet functions, data management, data visualization, optimization, risk analysis and predictive modeling in spreadsheet software. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
BANA4090 Forecasting and Risk Analysis A survey of analytical techniques used to assist in managing under uncertainty. Topics include time series and other forecasting techniques, as well as Monte Carlo simulation to assess the risk associated with managerial decisions. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
BANA4095 Decision Models This course further develops fundamental knowledge and skills for applying analytical tools to business decision making. Topics include optimization models and simulation models including the use of software to develop these models. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Knowledge Integration.
BANA5099 Independent Study in Business Analytics This is a self-managed course during which student independently pursues topics and/or completes a project of personal interest within this subject area. Students must obtain a faculty supervisor and appropriate permission prior to registration. Credit Level:U Credit Hrs:1 - 6 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Knowledge Integration.
BANA5137 Data Visualization This course provides an introduction as well as hands-on experience in data visualization. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making.  BANA 5137 is the undergraduate course-credit equivalent of BANA6037. Credit Level:U Credit Hrs:2 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy.
BANA5143 Statistical Computing This is a course on the use of computer tools for data management and analysis. The focus is on a few popular data management and statistical software packages such as SQL, SAS, SPSS, S Plus, R, and JMP although others may be considered. Data management and manipulation techniques including queries in SQL will be covered. Elementary analyses may include measures of location and spread, correlation, detection of outliers, table creation, graphical displays, comparison of groups, as well as specialized analyses. BANA 5143 is the undergraduate course-credit equivalent of BANA6043. Credit Level:U Credit Hrs:2 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy.
BANA5144 Applications Development using VBA The use of visual basic for applications for the development of applications of management science models for planning and decision support in a spreadsheet environment. BANA 5144 is the undergraduate course-credit equivalent of BANA6044. Credit Level:U Credit Hrs:2 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy.
BANA5150 Bracketology This course is designed for students with comfort in Excel spreadsheets, probability and statistics and a keen interest in NCAA basketball. We will study the NCAA basketball tournament and use the actual tournament as a test site. We will discuss the history of the NCAA tournament and how it currently operates. We will include the business side of the tournament as well. Discussions of how teams are currently evaluated will include the make-up of the selection committee and their deliberations. Analytics that have previously been applied to the tournament will focus on simulation capabilities, counting and probability models and decision analysis. Students will be broken into groups with the ultimate goal of coming up with actual brackets of teams that will be in the tournament. Groups will be asked to present and justify their brackets. Group brackets will be compared to the actual bracket. BANA 5150 is the undergraduate course-credit equivalent of BANA6050. Credit Level:U Credit Hrs:2 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy.
BANA5196 Guided Study in Business Analysis Project and research work undertaken by a student with the approval and supervision of a faculty member. By Permission Only  Recent Syllabus: Credit Hrs: 2
IS6030 Data Management This course provides an introduction to the use and design of databases to store, manipulate and query data. The course introduces the structured query language (SQL) used to manage data. Students who complete this course should understand how to use SQL for basic data manipulation and queries. This course is intended for users of existing databases to extract needed information and should not be taken by MSIS students or those students who wish to learn detailed database design techniques. Credit Level: G Credit Hrs:2
BANA6037 Data Visualization This course provides an introduction as well as hands-on experience in data visualization. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Credit Level: G Credit Hrs:2. Pre-req: See your college advisor for details.
BANA6043 Statistical Computing This is a course on the use of computer tools for data management and analysis. The focus is on a few popular data management and statistical software packages such as SQL, SAS, SPSS, S Plus, R, and JMP although others may be considered. Data management and manipulation techniques including queries in SQL will be covered. Elementary analyses may include measures of location and spread, correlation, detection of outliers, table creation, graphical displays, comparison of groups, as well as specialized analyses. Credit Level: G Credit Hrs:2. Pre-req: See your college advisor for details.
BANA6044 Applications Development using VBA he use of visual basic for applications for the development of applications of management science models for planning and decision support in a spreadsheet environment. Credit Level: G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA6050 Bracketology For non-MS-BANA graduate students with comfort in Excel spreadsheets, probability and statistics and a keen interest in NCAA basketball. We will study the NCAA basketball tournament and use the actual tournament as a test site. We will discuss the history of the NCAA tournament and how it currently operates. We will include the business side of the tournament as well. Discussions of how teams are currently evaluated will include the make-up of the selection committee and their deliberations. Analytics that have previously been applied to the tournament will focus on simulation capabilities, counting and probability models and decision analysis. Students will be broken into groups with the ultimate goal of coming up with actual brackets of teams that will be in the tournament. Groups will be asked to present and justify their brackets. Group brackets will be compared to the actual bracket. This course is not eligible for credit in the MS BANA program. Credit Level: G Credit Hrs:2. Prereq: See your college advisor for details. TouchPoint:MidCollegiate Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration
BANA7011 Data Analysis Introduction to data analysis and statistical methods with focus on practical decisions using quantitative models in a spreadsheet environment. Topics include sources of data, descriptive and graphical statistical methods, probability, distributions, sampling and sampling distributions, estimation, confidence intervals, and hypothesis testing. BANA 7011 should not be taken for credit by MS-Business Analytics students.  Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7012 Decision Modeling Continuation of BANA 7011. Topics include regression modeling and analysis including simple and multiple regression, decision analysis for making decisions under uncertainty, risk analysis and simulation of complex models in a spreadsheet environment, what-if models and spreadsheet engineering, optimization models and solving them with spreadsheet tools, optimization models in business applications such as marketing and finance. BANA 7012 should not be taken for credit by MS-Business Analytics students. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7015 Advanced Health Care Data Analytics, Business Intelligence and Reporting This course teaches the use of healthcare data to make decisions and transform healthcare delivery and the health of individuals and populations. The course concentrates on big and small data, and structured and unstructured data. Tools, applications and approaches for health data analytics are taught. This course covers topics such as statistical approaches; data, web and text mining; data visualization, simulation, modeling and forecasting. Key regulatory health and healthcare reporting requirements are taught. Credit Level:G Credit Hrs:3
BANA7019 HR Analytics This course will serve as an introduction to Human Resource Analytics. We will explore the use of analytics within the Human Resource functions of employee benefits, compensation, employee and labor relations and workforce development through guest speakers and class case studies. We will also explore the importance of technology to the overall analytic effort and how the right tools and talent help the effort to be successful. This course is not eligible for credit in the MS BANA program. Credit Level: G Credit Hrs:2. Prereq: See your college advisor for details.
BANA7020 Optimization An introduction to modeling, solving with state-of-the-art software, and interpreting the results for real-world linear, integer, and nonlinear optimization applications. Solution techniques and analyses covered include graphical approaches, the simplex method, duality, and sensitivity for linear optimization; branch-and-bound and cutting plane techniques for integer optimization; and Newton's method and gradient search for nonlinear optimization. Credit Level:G Credit Hrs:3 Pre-req: See your college advisor for details.
BANA7021 Advanced Optimization Analysis I Additional development of skills for modeling and solving real-world optimization models. Solution techniques and analyses for linear optimization models including optimization criteria, simplex routines, duality, sensitivity, complexity analysis, decomposition, and the projective algorithm. An introduction to integer linear programming and solution techniques including the branch-and-bound and implicit enumeration approaches. An introduction to nonlinear optimization analyses. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7022 Advanced Optimization Analysis II Additional development of skills for modeling and solving real-world optimization models. Solution techniques and analyses for linear integer optimization models including Lagrangian relaxation, cutting plane methods, and the branch-and-cut routine. Optimization criteria, Lagrangian duality, search, gradient, and penalty methods for unconstrained and constrained nonlinear models. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7030 Simulation Modeling and Methods Building and using simulation models of complex static and dynamic, stochastic systems using both spreadsheets and high-level simulation software. Topics include generating random numbers, random variates, and random processes, modeling systems, simulating static models in spreadsheets, modeling complex dynamic stochastic systems with high-level commercial simulation software, basic input modeling and statistical analysis of terminating and steady-state simulation output, and managing simulation projects. Applications in complex queueing and inventory models representing real systems such as manufacturing, supply chains, healthcare, and service operations. Credit Level:G Credit Hrs:3. Pre-req: See your college advisor for details.
BANA7031 Probability Models Events, probability spaces and probability functions; Random variables; Distribution and density functions; Joint distributions; Moments of random variables; Special expectations; Moment generating functions; Conditional probability and conditional moments; Probability inequalities; Independence; Special probability distributions including: binomial, negative binomial, multinomial, Poisson, gamma, chisquare, normal, beta, t, F, mixture distributions, multivariate normal; Distribution of functions of random variables; Order statistics; Asymptotic results including: convergence in distribution, central limit theorem, convergence in probability. Credit Level:G Credit Hrs:4 Prereq: See your college advisor for details.
BANA7032 Stochastic Modeling I Additional development of skills for modeling and analyzing real-world discrete and continuous time stochastic processes with state-of-the-art software. Gambler's ruin problem, random walk analyses, and other applications. Additional solution techniques and analyses for stochastic models including branching processes, time reversibility, Monte Carlo methods for discrete and continuous time Markov processes; Markov decision processes and hidden Markov chains and Brownian motion. Continuous time birth-death and Poisson processes will be introduced. Credit Level:G
Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7033 Stochastic Modeling II As a topics course, the format will have the character of a seminar with topics that may change with each offering. Previous topics have focused on stochastic calculus and included: Second order processes, Mean, covariance, and cross-covariance function, Gaussian processes, Wiener process and Brownian motion, Continuity, integration, and differentiation of second order processes, Continuity in mean square, Continuity of sample functions, Stochastic integration, Stochastic differentiation, White noise process, Stochastic differential equations, Stochastic differential equations of order 1, 2, and n, Estimation theory, Optimal prediction, Spectral distribution, Applications of stochastic differential equations Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7035 Simulation Analysis Probabilistic and statistical underpinnings of simulation modeling and analysis. Topics include advanced modeling techniques, advanced methods for modeling input processes, random-number generators, generating random variates and processes, design and analysis of simulation experiments, variance-reduction techniques, gradient estimation, and optimizing simulated systems. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7036 Financial Engineering This is a course in Financial Engineering with an introduction to quantitative methods in financial economics. Emphasis is on probability and statistical techniques used most often in the analysis of financial markets and how they are applied to actual market data.Topics include: Return, Volatility, Random Walk, Brownian Motion, GARCH, Portfolio Analysis, Option Pricing, Diffusion Models, Value at Risk, Fixed Income, Asset Pricing, Term Structure of Interest Rates. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7038 Data Analysis Methods This course covers the fundamental concepts of applied data analysis methods. Various aspects of linear and logistic regression models are introduced, with emphasis on real data applications. Students are required to analyze data using major statistical software SAS and R. BANA 7038 should not be taken for credit by MS-Business Analytics students.  Pre-req: See your college advisor for details.
BANA7041 Statistical Methods Basic estimation, hypothesis testing, and data analysis. Point and interval estimation. One factor ANOVA. Fitting and drawing inferences from simple and multiple linear regression models. Variable selection procedures. Residual diagnostics and model correction procedure for linear regression. Credit Level:G Credit Hrs:4 Pre-req: See your college advisor for details.
BANA7042 Statistical Modeling Nonlinear regression and generalized linear model. Logistic regression for dichotomous and polytomous responses with a variety of links. Count data regression including Poisson and negative binomial regression. Variable selection methods. Graphical and analytic diagnostic procedures. Overdispersion. Generalized additive models. Limited dependent variable regression models (Tobit), Panel Data models. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7043 Statistical Aspects of Sample Survey This is a course in the design and analysis of sample surveys with emphasis on appropriate choice of survey design and estimation methods to maximize precision and minimize cost. Simple random sampling with and without replacement, Stratified random sampling, Systematic sampling Cluster sampling, Probability-Proportional-to-Size sampling, Two-stage sampling; estimation methods for population means, totals, proportions, ratios and variances using Means per unit, Ratio estimates, Regression estimates, Probability-Proportional-to-Size estimates, Two-stage mean estimates, Post-stratification Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7044 Analysis of Variance and Covariance Analysis of variance for one factor and multifactor treatment structure in a completely randomized design; estimation and testing hypotheses about treatment means and estimable functions of effects; fixed, random, and mixed models; graphical and analytic checking of model assumptions; coping with violations of assumptions; variance components analyses; multiple comparisons; sample size and power analyses; matrix approach to the models; 2k factorial models; Analysis of randomized complete block design; analysis of covariance for one factor and multifactor treatment structure in a completely randomized design and simple blocked design. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7045 Design of Experiments Analysis of data from designed experiments including: Randomized complete block, Balance incomplete block, Partially balance complete block, 2k factorial arrangements in completely randomized designs (CRDs) and blocked designs, Latin, Graeco-Latin, and Youden square, Nested and crossed-nested, Split plot, split-split plot and other variations, Strip plot, Repeated measures, Cross-over; fixed, random, and mixed models; graphical and analytic checking of model assumptions; coping with violations of assumptions and unbalanced data; generation of and analysis of fractional factorial arrangements with CRDs and blocked designs Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7046 Data Mining I This is a course in the statistical data mining with emphasis on hands-on data analysis experience using various statistical methods and major statistical software (SAS and R) to analyze large complex real world data. Topics include: Data Processing. Variable Selection for linear regression and generalized linear regression. Out-of-sample Cross Validation. Generalized Additive models. Nonparametric smoothing methods. Classification and Regression Tree. Neural Network. Monte Carlo Simulation. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7047 Data Mining II This is a course in the statistical data mining II with emphasis on hands-on data analysis experience using various statistical methods and major statistical software (SAS and R) to analyze large complex real world data. Topics include: Missing Data Imputation, Bootstrapping, Boosting and Multiple Additive Regression Trees, Bayesian Trees, Support Vector Machine, Discriminant Analysis, Cluster Analysis, Factor Analysis,Principle Component Analysis. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7048 Multivariate Statistical Methods This is a course in the analysis multivariate data with emphasis on appropriate choice of estimation and testing methods. Vectors and matrices, Multivariate probability distributions and their parameter, Multivariate normal distributions, Maximization and minimization of multivariate functions, The "shape" of multivariate normal data, Correlation, prediction and regression, Sample statistics and their sampling distributions for multivariate normal data; Estimation and tests for correlation, Tests of independence, Estimation and tests for multivariate means and covariance matrices, ower of multivariate tests, multivariate linear models, canonical correlation analysis, Principal components analysis, Factor analysis, Classification and discrimination analysis. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7049 Topics in Multivariate Methods This is a course in which the topics may vary from time to time. The central theme is the analysis multivariate data with emphasis on appropriate choice of estimation and testing methods. Among the topics one may be exposed to are Cluster analysis, Canonical variate analysis, Canonical discriminant analysis, Multidimensional Scaling, MANOVA, LISREL, graphical analysis of multivariate data Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7050 Forecasting and Time Series Methods This is a course in the analysis of time series data with emphasis on appropriate choice of forecasting, estimation, and testing methods. Univariate Box-Jenkins methodology for fitting and forecasting time series. ARIMA models, Stationarity non-Stationarity, auto-correlation functions, partial and inverse autocorrelation functions, Estimation and model fitting, Diagnosing time series models, Forecasting: Point and interval forecasts, Seasonal time series models,Transfer function models, Intervention models, Modeling volatility with ARCH, GARCH, and other methods, Modeling time series with trends, Multiequation time series models: Vector Auto Regression (VAR), Cointegration and error correction models, Nonlinear time series models, State space time series models, Bayesian time series and forecasting Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7061 Statistical Inference This course in the concepts of statistical inference will cover the topics contained in the following outline:Point estimation-maximum likelihood and method of moments principlesConfidence intervalsTests of statistical hypothesesChi-square testsSufficient statistics-measures of quality and properties of estimators-Rao-Blackwell theoremComplete families of distribution-exponential family of distributions-functions of a parameter and several parameters-minimal sufficient and ancillary statistics-location and scale parameters-sufficiency, completeness & independence (Basu's theorem)Bayesian methodsFisher Information and Rao-Cramer Inequality-efficient statistics-limiting distribution of MLE'sTheory of statistical testsbest tests and Neyman-Pearson theory-uniformly most powerful testsLikelihood ratio testsSequential methods Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7062 Applied Inference Methods Topic may vary depending on the interest of the instructor and students. Example topics are: resampling methods including bootstrap procedures, jackknifing, and cross validation; Monte Carlo methods and Accept-Reject Algorithms for integration; Bayesian computations including, Gibbs sampler, Monte Carlo Markov Chain, and Metropolis-Hastings. Missing data problems via EM algorithm and multiple imputation Emphasis is on applications of these methods. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7063 Bayesian Analysis and Decision Theory This is a course in statistical decision theory and Bayesian analysis with most emphasis on concepts but some time devoted to computation. Game theory approach to decision theory, Expected loss, decision rules and risk, decision principles, Utility functions and loss functions, Prior information and subjective probability, Bayesian statistical inference including: point estimation, interval estimation, hypothesis testing, and prediction, all from a Bayesian point of view, Bayesian decision theory with applications Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
BANA7095 Graduate Case Studies in Business Analytics Real organizational problems or challenges will be presented to students by client companies. Students in groups will work with a client to develop a solution or solutions to the problems using advanced analytic techniques. Students will present the solutions to the client in both oral and written reports. Credit level is G, Credit Hrs: 2 Pre-req: See your college advisor for details.
BANA8080 Independent Study in Business Analytics This is a self-managed course during which student independently pursues topics and/or completes a project of personal interest within this subject area. Students must obtain a faculty supervisor and appropriate permission prior to registration. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
BANA8083 MS Capstone This course is associated with the required MS Business Analytics Capstone. The Capstone experience will be described in an essay that is reviewed and approved by two faculty members. The essay can describe: (1)a research project based onan idea proposed independently by the student or with faculty input; (2)an extension of a case analysis or project completed in a class such as BANA7095, Graduate Case Studies in Business Analytics. The essay must describe the student's contribution to the research or case. Credit Level: G Credit Hrs: 1. Pre-req: See your college advisor for details.
BANA8084 MS Capstone Internship This course is associated with the required MS Business Analytics Capstone. The Capstone experience will be described in an essay that is reviewed and approved by two faculty members. The essay will describe a project or projects completed during an internship taken as part of the student's MS-Business Analytics course work. The essay must describe the student's contribution to the project(s). Credit Level: G Credit Hrs: 3 Pre-req: See your college advisor for details.
BANA8090 Special Topics in Business Analytics This course is used to explore topics of current interest in the BANA domain, that do not fall within the scope of any of the regularly scheduled courses. By the nature of the course, specific topics covered will vary with each offering. - Prerequisite Definition: To take this course you must: Be enrolled in the following Plan BABA-MS.
BANA9071 Research in Business Analytics This is a variable credit course reflecting research activity for pre-comprehensive exam students. Students in their first and second years of doctoral study will accumulate QA9071 credits as they progress in their doctoral studies. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details.
BANA9085 Seminar in Business Analytics I Research topics in business analytics are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
BANA9086 Seminar in Business Analytics II Research topics in business analytics are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
BANA9087 Seminar in Business Analytics III Research topics in business analytics are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
BANA9091 PhD Research in Business Analytics This is a variable credit course reflecting a doctoral student's engagement in dissertation research and progress toward completion of the dissertation. Doctoral students will accumulate a minimum of 30 semester credit hours of dissertation credit in order to be eligible for graduation. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details

Information Systems

Information Systems courses
Course No. Course Title Description
IS1050 Your Digital Life Information Technology (IT) has fundamentally transformed our lives in numerous ways. The way we communicate, shop, access entertainment, and conduct business, have all changed. The pervasive influence of IT places an increasing burden on each of us to be more information literate and make good choices about managing our "digital lives." That is the focus of this course. Specific topics covered in the course will include: (a) How do you select a technology platform? Mac or PC? iPhone, Android, or Windows Phone? iPad or Xoom? Cloud Computing - what is it and why should we care? (b) The Networked Home: How do you design and implement a network at home? What will it mean when you can network not just your laptop but also your washer and refrigerator? (c) Apps, apps, and more apps! Reviewing some of the better apps in various domains such as travel, productivity, entertainment, and shopping; (d) Social Networking, or "Life beyond Facebook" and (e) Staying Safe - how do you protect yourself from hackers and viruses and spyware? Credit Level:U Credit Hrs:3 BoK:TI. Baccalaureate Competency: Information Literacy.
IS2080C Digital Technologies for Business Information Systems (IS)-and the enabling digital technologies-constitute integral and critical resources for all aspects of a business, from operational efficiency and managerial decision making, to the implementation of transformative business strategies. Businesses spend over $1 trillion annually on technology and related information systems. This course is designed to help students develop a working knowledge of digital technologies, to understand business opportunities created by digital technologies, and to gain awareness of how organizations leverage digital technologies to improve organizational processes and enhance related business strategies. The course also has a hands-on component-students will develop specific competencies in using spreadsheet, database, and web development tools to make informed business and financial decisions. Credit Level:U Credit Hrs:3 BoK:TI. Baccalaureate Competency: Critical Thinking, Information Literacy.
IS2090 Web Development with .Net This course introduces students to application development. Students will use Microsoft's Visual Studio, ASP.Net and the C# language to develop both stand alone and web-based applications. As part of the course, students will build a functional, data-driven web site. Students will also learn the basics of programming for both traditional (structured programming) and event-driven applications (object-oriented programming). Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy.
IS3020 Systems Analysis and Design This course covers two of the main approaches to analyzing and designing an information system. With Business Process Modeling Notation (BPMN), students will learn to model a technology-agnostic process, with the focus on a series of tasks, events, and structural controls. With Unified Modeling Language (UML), students will learn the Object-Oriented approach to systems analysis and design. Specifically, they will be exposed to three models: Use Case Diagrams - to represent the functional view of a system; Class Diagrams - to model the structural view, and Sequence Diagrams - to represent the interaction view. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy.
IS3030 Database Design and Tools As data becomes an increasingly vital organizational resource, database systems have also become more and more important for organizations. This course examines both managerial and technical issues in database design. Through a series of lectures, mini-case studies, discussions, and workshops, students will learn core principles and techniques for conceptual data modeling and logical database design, including Entity-Relationship modeling and SQL. The course also includes computer lab sessions, where students will get hands-on experience with a DBMS such as Oracle. Credit Level:U Credit Hrs:4 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy, Knowledge Integration.
IS3040 IT Architecture and Networking This course is designed as a technical introduction to the inner workings of modern computer systems. It introduces students to the building blocks of IS/IT Architecture - hardware, software, data formats, and communication channels - and their role in an information system. The course also introduces basic networking concepts, including the OSI model, and standard network topologies and protocols. Credit Level:U Credit Hrs:3 Prereq: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy.
IS3050 Web Development with .Net Introduces students to application development using HTML, CSS, Microsoft's Visual Studio, ASP.Net and the C# language to develop both stand alone and web-based applications. As part of the course, students will build a functional, data-driven web site and also learn the basics of programming for both traditional (structured programming) and event-driven applications (object-oriented programming).
IS4010 Application Development with Java This course introduces students to Object Oriented Programming using Sun's Java language and Java 6 Enterprise Edition development platform. The course will utilize Java Beans, JDBC, and other components in the development of applications. Students will use the Eclipse Integrated Development Environment to create their applications. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy, Knowledge Integration.
IS4030 Business Intelligence The course introduces concepts in Business Intelligence, and its application to support business competition. It covers topics such as data warehousing, dimensional modeling, on-line analytic processing (OLAP), and data mining. Data warehouses are created to store (archive) data from operational information systems so that it can be easily accessed. Students will learn about the design, development, and operation of data warehouses. The course will also cover OLAP and data mining, which are the most commonly used techniques for generating business intelligence (knowledge) from data warehouses. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy, Social Responsibility.
IS5050 IS Project This course focuses on the development and implementation of IS projects. The main objective is to gather requirements, design, develop, implement, and document an information system whose project is either sponsored by a local firm or self-developed web-based business solution. A framework and a methodology for deploying an end-to-end information systems will be covered and discussed via hands-on experiential learning. Students are expected to rigorously apply their knowledge accrued from programming, business process modeling, and database management at the very least. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Information Literacy, Knowledge Integration.
IS5093 Special Topics in Information Systems Contemporary topics in Information Systems will be discussed in this course. Credit Level:U Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
IS5099 Independent Study in Information Systems This is a self-managed course during which a student independently pursues topics and/or completes a project of personal interest within Information Systems. The student must obtain a faculty supervisor and permission from the Department Head prior to registration. Credit Level:U Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
IS5130 Data Management This course provides an introduction to the use and design of databases to store, manipulate and query data. The course introduces the structured query language (SQL) used to manage data. Students who complete this course should understand how to use SQL for basic data manipulation and queries. IS5130 is the undergraduate-course equivalent of IS6030. Credit Level:U Credit Hrs:2 Baccalaureate Competency: Critical Thinking.
IS6030 Data Management This course provides an introduction to the use and design of databases to store, manipulate and query data. The course introduces the structured query language (SQL) used to manage data. Students who complete this course should understand how to use SQL for basic data manipulation and queries. This course is intended for users of existing databases to extract needed information and should not be taken by MSIS students or those students who wish to learn detailed database design techniques. Credit Level: G Credit Hrs:2
IS7011 Information and Technology Management This course employs the case method to discuss the managerial and strategic implications of the use of Information Systems in organizations. The course starts with a review of concepts related to Information Technology in the realm of networking, databases, application development, and architecture. Next, it examines the value of Information Technology in modern organizations. Finally, multiple cases are discussed, covering themes like Enterprise Resource Planning, Digital Convergence, e-Marketing and Social Media, Disruptive Innovations, Virtual Teams, and IT Resources and Capabilities. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7012 Web Development with .Net This course is an introduction to the development of web-based applications, using Microsoft's Visual Studio and covering ASP.Net using Visual C#. Students will be expected to develop a simple web application that incorporates these technologies. Students will learn how to integrate the frontend (web site) with the back end (database) of an application. The course will cover the implementation of navigational structures, input and validation controls, and data controls in web applications. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7020 Process Modeling There is no activity more fundamental to the field of information systems (IS) than the analysis, design, and development of systems. In this course, students will learn to analyze and document the requirements for a system, using two distinct approaches to process modeling. The first of these is BPMN (Business Process Modeling Notation) - a technique that is quickly becoming the standard for business process modeling. The second is an Object Oriented approach, using UML (Unified Modeling Language) - specifically, students will learn to draw use case diagrams, class diagrams, and sequence diagrams. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7024 XML and Web Services This course introduces the concept of Service-Oriented Architecture (SOA) and its two main components - web services and XML. First, the course covers the structure of XML files, including XML Schemas and namespaces. Next, techniques to transform (XSLT) and extract information from XML files (XPATH) are presented. Finally, the main components of Web Services, such as WSDL and SOAP, are discussed. The course uses Visual Studio 20008, Visual C#, ASP .Net, and Windows Communication Foundation as a way for students to practice the concepts discussed in the lectures. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7030 Data Modeling This course provides in-depth coverage of the principles of data modeling. Starting at the highest level of abstraction, the data requirements culled out from user requirements specification are rendered as a conceptual data model using Entity-relationship modeling grammar. Students then learn how to map the conceptual model to the logical tier using relational modeling grammar, in preparation for the ultimate database design. Workshop sessions are included to provide students hands-on modeling opportunities. A basic introduction to Structured Query Language (SQL) is also included. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7031 Database Modeling and Design for Healthcare This course teaches students principles of data modeling and database design. Students gain hands-on experience data modeling, designing and developing a database for a health scenario. Students gain experience with a querying language such as structured query language (SQL). Credit Level:G Credit Hrs: 3
IS7032 Database Design This course provides in-depth coverage of the principles of database design. It is a follow on to IS 7030. Having learned to develop relational data models in the first course, students start this course with concepts related to validating and revising the database design using normalization theory. This is followed by relational algebra and structured query language (SQL) for data definition (DDL), data manipulation (DML), data control (DCL), and deeper level of data querying (DQL) for the implementation of the database design. Finally, higher level normalization concepts are introduced. Workshop and laboratory sessions are included to provide hands-on learning experience in normalization procedures and SQL. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7033 Introduction to Statistics, Health Data Analytics and Business Intelligence This is a two-part course. The first part introduces students to key introductory statistical approaches, applying those approaches to health and healthcare data. Qualitative and quantitative analytic methods, evaluation and research design are introduced. In the second part, students learn best practices of strategically managing large amounts of healthcare data. Data warehousing principles and concepts are taught. Students design a data warehouse relevant to a health or healthcare scenario and learn online analytic processing and data mining. Topics such as enterprise data architecture, data integration and data management are introduced. Credit Level:G Credit Hrs:3
IS7034 Data Warehousing and Business Intelligence This course is designed for the comprehensive learning of data warehousing technology for business intelligence. Data warehouses are used to store (archive) data from operational information systems. Data warehouses are useful in generating valuable control and decision-support business intelligence for many organizations in adjusting to their competitive environment. This course will introduce students to the design, development and operation of data warehouses. Students will apply and integrate the data warehousing and business intelligence knowledge learned in this course in leading software packages. Credit Level:G Credit Hrs:2 Pre-req: IS6030 OR IS7032.
IS7036 Data Mining for Business Intelligence This course is designed for the in-depth learning of data-mining knowledge and techniques in the context of business intelligence. The topics include association rules, classification, clustering and text mining. Students will apply and integrate the business intelligence knowledge learned in this course in leading software packages. Credit Level:G Credit Hrs:2 Pre-req: IS6030 OR IS7032.
IS7038 Managing Business Intelligence Projects This course discusses key concepts in the management of Business Intelligence Projects. Using the Systems Development Life Cycle as an organizing framework, and a case discussion based pedagogy, students are exposed to the major challenges in justifying BI projects, eliciting user requirements, selecting the right tools and technologies, and implementing the final solution. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7042 Network Design This course introduces students to the design, implementation and management of networks and inter-networks. It examines architectures of computer networks that support distributed applications. Specific topics covered include: WANs, LANs, Wireless Networks, TCP/IP, and the 7 layers of the OSI model. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7050 ERP 1 Enterprise Resource Planning (ERP) Systems are large, cross-functional systems designed to promote integration among the various business areas. While there are many ERP systems, SAP has, by far, the highest market share. An important step in implementing SAP is configuration, which involves selecting options in SAP to align with the specific requirements of the business. This course is a hands-on introduction to SAP configuration. Specifically, students will go through the process of setting up a small trading company on SAP, including setting up the organization structures, master data, and rules; and processing transactions to test the setup. The course covers three SAP modules - FI, MM, and SD. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7052 ERP 2 This course is a follow on to IS 7050. Students will continue their study of SAP configuration, focusing on the CO and PP Modules. Specifically, students will set up the organization structures, master data, and rules needed to run a manufacturing company on SAP, and process transactions to test the setup. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7060 IS Project Management This course focuses on the management of IS projects, although many of the concepts examined also apply to other projects. Planning, organizing, staffing, and controlling projects require traditional management skills as well as an understanding of specific project management tools and techniques. This course starts with an overview of project management concepts. It then discusses project planning, monitoring, and controlling. It also covers the politics of projects, project staff, and teamwork issues. The Project Management Institute's "A Guide to the Project Management Body of Knowledge," along with current research and management trends related to IS project management, provide the framework for the material covered in this class. The course uses Microsoft Project for hands-on exercises. Credit Level:G Credit Hrs:2  Pre-req: See your college advisor for details.
IS7090 Industry Practicum 1 This course is associated with the required experiential component of the MS-IS program. There are two ways to complete this course successfully. The first is to do a co-op/internship in a pertinent area, such as ERP, applications, databases, business intelligence, and IT architecture. Most fulltime students are expected to pursue this option. Part-time students, and a very small number of full-time students, can choose the second option -- to complete a project, identified by the student in consultation with a faculty advisor, that utilizes some of the tools and techniques covered in the MS-IS. This project must have direct application to either the student's company or to a non-profit organization of the student's choice. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS7092 Industry Practicum 2 This course is associated with the experiential component of the MS-IS program. It is a follow on to IS 7090. The purpose of this course is to allow students to engage in longer and more complex projects (whether as part of a co-op/internship, or an independent project) that go beyond the scope of a single course (IS 7090). Credit Level:G Credit Hrs:1 - 3 Pre-req: See your college advisor for details.
IS8010 Advanced Java This course serves as an introduction to web application development, using Sun's Java Enterprise Edition 5 development platform. Students are introduced to the n-tier model of application development. Topics covered in the course include: Enterprise Java Beans (EJB), Java Persistence API (JPA), servlets, and Java Server Pages (JSP). In addition, students will use Java to develop web services as well as clients that consume the services. A basic knowledge of Java is a pre-requisite for the course. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8012 Advanced Web Development with .Net This course is a follow on to IS 7012 and uses the .Net framework introduced in that course to explore advanced topics. Specific topics covered in the course include: advanced programming techniques in C# to manipulate classes and tables, the creation and use of AJAX controls in .Net web applications, Dynamic Data web sites, and the MVC framework, including how to create a database-bound web application following the MVC pattern. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8020 Advanced Process Modeling This course is a follow on to IS 7020. It covers advanced techniques in systems analysis and design such as: using design patterns, packaging and deployment, and Model-Driven Architecture. In addition, students are introduced to a state-of -the-art Process Management Software Suite such as Bluespring. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8024 Advanced XML and Web Services This course uses the concepts originally introduced in IS 7024 to explore advanced topics such as the WS-* specifications, RESTful services, and Windows Communication Foundation. The WS-* standards allow for additional information to be passed in the web service envelope, assuring that the management of components such as authentication and transport can be implemented. RESTful services are static services that do not employ SOAP as a transport mechanism. Finally, Windows Communication Foundation is part of the structure provided by Microsoft to manage web services in both intra- and inter-organizational settings. The course uses Visual Studio 20008, Visual C#, ASP .Net, and Windows Communication Foundation as a way for students to practice the concepts discussed in the lectures. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8026 SharePoint Development This course builds proficiency in the most widespread content management system on the market, Microsoft's SharePoint. Students will be exposed to the main components of the SharePoint platform and best practices for SharePoint management. They will learn techniques for customizing and refining SharePoint sites, including the development of new applications using C# and the .Net framework. The course uses Visual Studio 2008 and SharePoint Server to implement the concepts discussed in the lectures. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8032 Advanced Data Management The focus of this course is on database implementation and administration. Topics covered include: conceptual data model validation, reverse engineering, physical database design, enforcement of procedural constraints via stored procedures and database triggers, data and database administration, transaction processing and concurrency control, security, integrity, backup and recovery, and client/server and distributed databases. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8034 Big Data Integration This course presents an overview of the principles of data integration, the fundamental basis for developing useful and flexible business intelligence platforms. Modern data integration needs differ from traditional approaches in four main dimensions that parallel differences between big data and traditional data: volume, velocity, variety, and veracity. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8040 Enterprise Architecture Enterprise Architecture represents the structure and operation of an organization to effectively and efficiently achieve its current and future business objectives. This course is designed to expose the student to the elements of Enterprise Architecture and to the roles and necessary skills required by the Enterprise Architect. It is a combination of theory and the practical, but the emphasis and focus will be on the practical. The problems addressed are real-world problems currently faced by organizations. Credit Level:U Credit Hrs:2 Pre-req: See advisor for details.
IS8044 IS Security This course is an overview of the field of Information Security, Privacy, and Assurance. It introduces students to the key issues associated with protecting information assets, determining levels of protection and response to security incidents, and designing a consistent, reasonable information security system, with appropriate intrusion detection and reporting features. Topics covered in the course include: inspection and protection of information assets, detection of and reaction to threats to information assets, pre- and post-incident procedures, technical and managerial responses, and an overview of the Information Security Planning and Staffing functions. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8050 Introduction to ABAP This course introduces students to basic technical skills in SAP, including ABAP. Specific topics covered will include: an overview of SAP Architecture, Object Navigator, ABAP Dictionary, ABAP Editor, ABAP Debugger, Traces, and Output Management. Credit Level:G Credit Hrs:2 Prereq: See your college advisor for details.
IS8054 SAP Solution Manager This course introduces students to Solution Manager, SAP's service and support platform designed to assist in efficient and effective implementation, support, and management of SAP solutions. Students will be expected to complete a simple project in Solution Manager, spanning the life cycle from definition and documentation of customer requirements to final testing and implementation. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8056 SAP TERP-10 Certification This course is designed to prepare you to take the SAP Certified Business Associate certification exam (TERP-10). The course will cover the organization structures, master data, and business processes used in the following modules - Financial Accounting, Management Accounting, Human Capital Management, Procurement, Inventory Management, Material Planning, Manufacturing Execution, Plant Maintenance, Customer Service, Lifecycle Data Management, Sales Order Management, Program & Project Management, and Strategic Enterprise Management. At the end of this course, all students are expected to appear for the TERP-10 Certification Exam. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8060 IT Auditing Information systems are embedded in all aspects of an organization's operations. Thus, the need to assess the risks and evaluate the controls over these systems is becoming increasingly vital to the organization, its customers, and society at large. This course acquaints students with tools and techniques to determine whether an organization's information systems are adequately protected, monitored, and have controls in place to meet legal requirements. Students will also learn how to build adequate controls in the systems they develop. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8062 IT Service Management This course aims provides students with an understanding of the ITIL framework and itsrelevance in business environments. ITIL (IT Infrastructure Library) provides a comprehensive and consistent set of best practices for IT service management, promoting a quality approach to achieving business effectiveness and efficiency in the use of information systems. It is the most widely accepted approach to IT service management in the world. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS8064 CIO Forum As an IS professional, the ultimate accomplishment is often to become the CIO of a major corporation.  In this course CIOs and their associates will share their perspectives on what makes a successful CIO in an enterprise. A particular focus of the course will be strategic and operational aspects of a CIO's job. Time will be spent on the challenges, opportunities, environmental factors, organizational dynamics and other aspects that are incorporated as part of the CIOs leadership and operational responsibilities. Students will also be educated on how practices and approaches differ based on leadership styles, company operating principles, corporate culture, and inherent aspects of industry segments. The course will include presentations by various CIOs, business leaders, entrepreneurs and partner company leaders that comprise the ecosystem of the larger operating framework.  The course will also address IT Career Perspectives from the viewpoint of industry thought leaders.  How did successful CIOs get there?  What are some of the career choices they made, and why? It is an opportunity for students to learn from senior executives, thus bridging the gap between theory and practice in IT management.
IS8070 Special Topics in IS This course is used to explore topics of current interest in the IS domain, that do not fall within the scope of any of the regularly scheduled courses. By the very nature of the course, specific topics covered will vary with each offering. Credit Level:G Credit Hrs:1 - 2 Pre-req: See your college advisor for details.
IS8080 Independent Study in IS This course allows a student to work with a faculty member on an individual study in a topic of interest to the student. Credit Level:G Credit Hrs:1 - 4 Pre-req: See your college advisor for details.
IS9050 IS research colloquium The purpose of this course is to expose Ph.D. students in IS to the broad research environment through different types of opportunities (e.g., research seminars in IS as well as other business domains, brown-bag sessions of research-in-progress presentations, talks by invited research scholars, selected research assignments) Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
IS9070 PhD Independent Study in Information Systems This is a self-managed course during which student independently pursues topics and/or completes a project of personal interest within this subject area. Student must obtain a faculty supervisor and appropriate prior to registration. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
IS9071 PhD Research in Information Systems This is a variable credit course reflecting research activity for pre-comprehensive exam students. Students in their first and second years of doctoral study will accumulate IS9071 credits as they progress in their doctoral studies. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details.
IS9091 PhD Dissertation Research in Information Systems This is a variable credit course reflecting a doctoral student's engagement in dissertation research and progress toward completion of the dissertation. Doctoral students will accumulate a minimum of 30 semester credit hours of dissertation credit in order to be eligible for graduation. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details

Operations Management

Operations Management courses
Course No. Course Title Description
OM3080 Operations Management Survey of the operations function in industrial, service and public organizations. Includes forecasting, line balancing, aggregatescheduling, layout, inventory planning, work measurement, qualitycontrol, quality improvement, MRP. Credit Level:U Credit Hrs:3.  Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4075 Quality Management This course provides a comprehensive understanding of the principles, practices, and tools of modern quality management for manufacturing, service, and not-for-profit organizations. Topics include quality management philosophies, Malcolm Baldrige National Quality Award, ISO 9000, Six Sigma, management practices for building and sustaining high performance organizations, statistical applications, process improvement tools, design for quality and product excellence, and statistical process control. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details.
OM4076 Operations Planning and Scheduling Introduces the student to planning and control as practiced in state-of-the-arts firms. The principles of inventory and capacity are covered. Specific topics covered include product prioritization focusing on bottleneck (capacity-constrained) resources, inventory modeling, resource planning, just-intime/lean systems, factory dynamics and benchmarking models, and the impact of variability on performance. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4080 Product Development and Project Management This course covers detailed issues related to managing product development and projects in organizations. Concepts in product development include integrated the product development cycle, tradeoffs and enabling organization structures and routine. Concepts in project management include project planning and organization, budgeting and control, project life cycles, concepts related to organizational workflow including the staffing process, related concepts of organizational forms, conflict resolution, and issues related to leadership, team building and task management in a project environment. Advanced concepts of project scheduling include work breakdown structure, critical path method, project risk analysis and simulation, project tracking and earned value analysis, critical chain, and resource constrained scheduling. Specific skills include setting up projects on Microsoft project and using the information for budgeting, resource management, tracking and ongoing communication and evaluation of projects. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4081 Supply Chain Management This course deals with the design and operation of an organization's supply chain. The student in this course will be exposed to both the strategic and operational aspects of managing today's complex, global supply chains. Specific topics include order management, material and information flow planning, and design and optimization of supply networks. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4082 Procurement and Logistics The study of strategic issues in procurement and supply management. Topics in purchasing include the procurement cycle, relationships with suppliers, negotiation, and commodity planning. Topics in logistics include customer service, distribution operations, order processing, facility design, and carrier and mode selection. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4088 Service Sector Management This course focuses on services management in general and service operations in particular. It explores the elements that unite services, that differentiate service processes from non-service processes, and that differentiate various types of services from each other. It covers strategic and tactical issues associated with designing and managing service operations, and it provides tools to help assess operations, redesign processes, and establish systems to help ensure an excellent customer experience. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details.
OM4089 Healthcare Management & Operations With roughly 1 in 9 Americans now working in the healthcare sector, and employment growing faster than any other industry, managing the people and operations in a healthcare-related business is an increasingly important skill for today's graduates. This course focuses on leading and improving a healthcare provider's people, processes, and managerial technologies. It covers essential managerial topics, such as the drivers of quality improvement in healthcare, and the development of patient- and provider-centric systems. The course also addresses the operational drivers of quality, cost-effectiveness, and the patient experience. Medical and managerial technologies, an increasingly critical component of high-quality, responsive care, are discussed throughout as a useful tool for helping achieve the organization's objectives. Pedagogically, the course involves a combination of lecture, case study, field study, and group and individual projects. Guest speakers from the healthcare industry would also be brought in as appropriate. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details.
OM4090 Forecasting and Risk Analysis A survey of analytical techniques used to assist in managing under uncertainty. Topics include time series and other forecasting techniques, as well as Monte Carlo simulation to assess the risk associated with managerial decisions. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM4095 Field Studies in Operations Management This course exposes students to operations-management practice in the field through direct observation and the application of various OM concepts to compare/contrast different operations methods used in practice.   Additionally, this course includes components related to networking, interviewing skills, and relating to the many different types of employees involved in operational settings. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details.
OM5085 Operations Strategy This capstone course in operations consolidates student learning from core and elective operations management classes through the use of the case method and simulations and exercises that integrate learning across disciplines such as quality management, project management, forecasting, operations planning and scheduling, supply chain and logistics. The course also adds significant global and ethical dimensions to operations management education. Above all, the cases place the operations management decisions in the context of the larger questions of corporate strategy, policy and style. Tools and techniques, while given general importance, will not be emphasized. Process understanding and managerial issues will be stressed. Specific topics covered in an integrative fashion in this class include (1) strategic capacity, facility and location planning, (2) supply chain strategy and rationalization (3) process knowledge theories and process improvement (4) product development and projects (4) ERP systems and global ERP strategy. Emphasis is placed on problem finding, recognition of opportunities, implementation strategies and recognition of caveats and limitations in real business situations. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. TouchPoint:Capstone Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility.
OM5090 Six Sigma Green Belt Project and Certification Exam This course is designed to provide credit for successful completion of a project and examination to receive Six Sigma Green Belt certification through the Lindner College of Business. Projects must address a business improvement need and document the application of the Six Sigma DMAIC methodology in formal summary report and a diary of process followed, and be accompanied by a letter from the client organization verifying the completion of the project and its benefits (which may be done in a prior term or co-op rotation). Preparation and review for the Green Belt BOK certification exam will be made available in a distance-learning format and can be completed at the student's leisure. The certification examination will consist of 50 multiple-choice questions and require a 70% or better to pass. Students may retake the examination as needed. Credit Level:U Credit Hrs:3 Pre-req: See your college advisor for details. Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy.
OM5093 Special Topics in Operations Management Contemporary topics in operations management will be discussed in this irregularly scheduled seminar-style course. Credit Level:U Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
OM5099 Independent Study in Operations Management This is a self-managed course during which student independently pursues topics and/or completes a project of personal interest within this subject area. Students must obtain a faculty supervisor and appropriate permission prior to registration. Credit Level:U Credit Hrs:1 - 6 Baccalaureate Competency: Critical Thinking, Effective Communication, Information Literacy, Knowledge Integration, Social Responsibility
OM7011 Management of Operations Introduces basic operations principles through case studies and explores major operations problems. Areas of concentration are decisions and activities involving product and process design, the use and control of resources, scheduling and quality management, supply chain management, and project management. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7022 Healthcare Operations Management In this course, we will examine several key areas in which healthcare needs to improve, such as: designing a better patient (customer) experience; misalignment between individual incentives and organizational goals; innovation and the process of developing and commercializing new service products; and overly long patient (customer) waiting and poor access. In addition, we will review several techniques that could be used to achieve these improvements Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7042 Health Quality 2: Total Quality Management The quality of health care in the United States has garnered significant attention among health care professionals and the public. This course will review: (1) the current state of the quality of health care in the United States; (2) approaches to assess quality of health care, and (3) strategies to improve the quality of care. These include the fundamentals of health program planning and evaluation, with an emphasis on developing skills in formative, outcome, and impact data collection and analysis. Emphasizes the use of the Baldrige Healthcare Criteria for Performance Excellence for designing, implementing, and improving organizational frameworks for performance excellence. Topics include program or project management, operations assessment, and improvement. Credit Level:G Credit Hrs:3 Pre-req: See your college advisor for details.
OM7044 Global Operations Strategy This is an integrative course in Operations, which tries to present global operations concepts in a unified fashion. The course deals with the structural changes that corporations have to make in facilities, locations, technologies, and organizational structure. The course also deals with infrastructural changes-management policies and practices that enable the structure to operate at its full potential. The course relies heavily on the case method of instruction. The cases essentially deal with:
•Problems encountered in managing operations
•identification of the constraints on the system performance
•Tradeoffs faced in operations decisions, and,
•Opportunities derived from effective operations management.
Above all, the cases place the operations management decisions in the context of the larger questions of corporate strategy, policy and style. Tools and techniques, while given general importance, will not be emphasized. Process understanding and managerial issues will be stressed. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7061 Managing Project Operations This course covers detailed issues related to managing product development and projects in organizations. The course covers, in two separate modules:-Concepts of project planning and organization, budgeting and control, and project life cycles and concepts related to organizational workflow including the staffing process, and project planning elements; related concepts of organizational forms, conflict resolution, and issues related to leadership and task management in a project environment.-Advanced concepts of project scheduling, including WBS, CPM, PERT, simulation, project budgeting, earned value analysis, project tracking and resource constrained scheduling. This includes setting up projects on Microsoft project and using the information for budgeting, resource management, tracking and ongoing communication and evaluation of projects. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7062 Service Operations This course examines the management of services, focusing on both the strategic and operational aspects of designing new services, assessing and improving service quality, improving the efficiency and effectiveness of service processes, solving challenging operational problems, and how understanding how new technologies can be integrated into service operations to help achieve these objectives. The course makes extensive use of case studies and industry speakers to highlight the application of theory to practice. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7071 Quality and High Performance Organizations This course develops knowledge and expertise about world-class quality management practices, focusing primarily on the Malcolm Baldrige National Quality Award Criteria for Performance Excellence. It develops students' abilities to assess the strengths and weaknesses of an organization's management approaches and develop strategies for improving excellence in organizational performance. The key topics addressed include strategy, customer focus, human resource practices, process management, measurement and information management, leadership, and performance excellence implementation. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM7083 Supply Chain Strategy and Analysis Presents an overview of issues relating to the design and operation of an organization's supply chain. Information is presented as a mix of technical models and applied case studies. Topics may include inventory planning, logistics, sustainability, global operations, supply chain collaboration and contracting. Credit Level:G Credit Hrs:2 Pre-req: See your college advisor for details.
OM8080 Independent Study in Operations Management This is a self-managed course during which a student independently pursues topics and/or completes a project of personal interest within a subject area. Students must obtain a faculty supervisor and appropriate permission prior to registration. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
OM9071 Research in Operations Management This is a variable credit course reflecting research activity for pre-comprehensive exam students. Students in their first and second years of doctoral study will accumulate OM9071 credits as they progress in their doctoral studies. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details.
OM9085
Seminar in Operations Management I Research topics in operations management are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
OM9086 Seminar in Operations Management II Research topics in operations management are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
OM9087 Seminar in Operations Management III Research topics in operations management are the focus of this course. The course may consider advanced topics not covered in other courses or new research methods. Credit Level:G Credit Hrs:1 - 6 Pre-req: See your college advisor for details.
OM9091 PhD Dissertation Research in Operations Management This is a variable credit course reflecting a doctoral student's engagement in dissertation research and progress toward completion of the dissertation. Doctoral students will accumulate a minimum of 30 semester credit hours of dissertation credit in order to be eligible for graduation. Credit Level:G Credit Hrs:1 - 15 Pre-req: See your college advisor for details.