Department of Information Systems, Statistics and Management Science

Ultimately, data drives investment. Behind nearly every great enterprise is an analytical mind. This department is home to our renowned Applied Statistics, Management Information Systems, and Operations Management programs. So whether it's the ability to detect statistical aberrations in an information system or designing a system in which aberrations are not possible, the primary objective of the Department of Information Systems, Statistics, and Management Science is to offer high-quality programs designed to prepare students for careers in both the public and private market sector.

Faculty

Head
  • Dr. John Mittenthal
Professors
  • Chakraborti, Subha
  • Cochran, James
  • Dula, Jose
  • Gray, Brian
  • Hale, David
  • Hale, Joanne
  • Keskin, Burcu
  • Lodree, Emmett
  • McManus, Denise
  • Melnykov, Volodymyr
  • Melouk, Sharif
  • Mittenthal, John
  • Perry, Marcus
  • Raja, Uzma
  • Thatcher, Jason
Associate professors
  • Barrett, Bruce
  • Carter, Michelle
  • Johnston, Allen
  • Wang, Qin
  • Yavuz, Mesut
Assistant professors
  • Bott, Gregory
  • Chen, Yuanyuan
  • Dayarian, Iman
  • Freeman, Nick
  • Hudnall, Matthew
  • Jena, Rishi
  • Kim, Youngsoo
  • Lee, Danhyang
  • Melnykov, Yana
  • Parton, Jason
  • Saifee, Danish
  • Sengul Orgut, Irem
  • Spurrier, Gary
  • Zhu, Xuwen
Instructors
  • Casselman, Brad
  • McMillan, Jennifer

Courses

Management Information Systems

MIS
501
Hours
3
Application Development for the Data-Driven Organization

This course will highlight one or more core programming languages (e.g., Java, Python) used within modern, data-driven organizations for the purpose of data collection, manipulation, and analysis. The first portion of the course will focus on essential programming knowledge and practices. The second portion of the course will emphasize the development of programmatic solutions, which will acquire data (e.g., web content, social media data, geospatial data, sensor-based data) through the integration of APIs and/or web services as well as ethical scraping techniques and then store the data in a modern backend database.

Prerequisite(s): MIS 502 co-requisite
MIS
502
Hours
3
Database Design and Management in the Data-Driven Organization

This course will cover the essentials of database design and management in modern, data-driven organizations. The first portion of the course will focus on relational database design as well as SQL for the storage and access of structured data. The focus of the second portion of the course will highlight modern database structures/systems (e.g., Apache Hadoop, graph databases) as well as their query languages for storing, accessing, and analyzing more unstructured data or data having relationships not easily queried by traditional databases. Additional topics may include data cleansing, query optimization, and extract-transform-load (ETL) processes.

Prerequisite(s): MIS 501 co-requisite
MIS
505
Hours
3
Enterprise Networking and Security

Data communications and networks; impact on business enterprises and issues pertaining to design and implementation. Security and operational requirements evaluated in multiple network architectural configurations.

MIS
511
Hours
1-3
Management Information Systems

Motivation for, construction of, and application of MIS. Topics include IS strategic alignment, information intensive business processes, and decision making. Business analysis techniques are emphasized for systems such as TPS, e-business, management reporting systems, and data warehouses.

MIS
514
Hours
3
Information Tech Bootcamp

In-depth treatment of software engineering techniques for information systems business solutions.

MIS
515
Hours
3
Intro to Application Development

This bridge course intends to introduce students into the basics of application development using Python programming language. Students will gain a fundamental understanding of contemporary application development using Python as the programming language. Students will gain proficiency in creating functional Python scripts to build variety of applications in the area of system development. Python provides a simple and versatile development environment suitable for projects ranging from simple scripting applications to large-scale enterprise applications. In addition to core programming fundamentals, the course will also incorporate system development best practices such as team collaboration, version management, documentations, unit testing, styles and standards. In the process, students will explore the multitude of standard libraries available in the Python development ecosystem to accomplish various problem-solving tasks.

MIS
516
Hours
3
MIS Practicum

Experiential learning in a dual-coached, commercial IS environment reporting to faculty and organizational management. Projects started during the practicum continue through the remainder of the program.

MIS
520
Hours
3
Systems Analysis And Design

Techniques and methodologies of systems analysis and design are introduced, including conducting project scoping, requirements elicitation, requirements definition, and operations specifications.

MIS
525
Hours
3
Informatn Systems Project Mgt

Techniques and methodologies of project level scoping, staffing, planning, scheduling, monitoring, and controlling the development of value-added information technology business solutions on time and within budget.

MIS
527
Hours
3
Emerging Info Technologies Sem

Course covers fundamental purchasing systems applications, supplier relations and evaluation, strategic planning in purchasing, purchasing techniques, value analysis and cost analysis.

MIS
530
Hours
3
Sys Development/Implementation

Techniques and methodologies of project-level systems development and delivery are introduced including interface design, platform constraints, application architecture, testing, quality control, security, and performance evaluation.

Prerequisite(s): MIS 520
MIS
531
Hours
3
Health IT

The fragmented healthcare environment is going through a profound shift in its approach to delivering better healthcare services through the implementation of healthcare IT (HIT). This course provides an overview of the healthcare environment and the role of HIT in enabling service delivery capabilities. Specifically, this course is designed to provide students with the knowledge and skill to understand the role of HIT in creating and managing the cross-continuum systems of care. Furthermore, the course prepares students with the knowledge and skills essential to managing HIT and its assimilation in the complex domain of healthcare.

MIS
535
Hours
3
Information Systems Consulting

Techniques and methodologies in client relationship management, proposal development, scope negotiation, component-based costing, knowledge management, software module and deliverable integration, systems deployment, and change management.

Prerequisite(s): MIS 520 and MIS 525
Prerequisite(s) with concurrency: MIS 530
MIS
540
Hours
3
Dbase Design/Construction/Oper

Emphasizes commercial business application of relational DBMS. Topics include semantic data modeling, normalization, process triggers, enterprise integrated, ODBC, n-tier architecture, e-business application, and performance tuning.

MIS
541
Hours
3
Business Analytic Support Sys

System level concepts, methods, tools and techniques for model-driven, data-intensive decision making. Topics include: structuring data, information and knowledge in data warehouses and dat marts, and analytic procedures.

MIS
560
Hours
3
Enterprise Integration Methods

Introduction to techniques and methodologies of enterprise-level governance, architecture, analysis, design, procurement, integration and deployment.

MIS
561
Hours
3
Applied Cyber Security

This course examines management issues and practical implications related to securing information systems. This course focuses on the Threat Environment, security Policy and Planning, Cryptography, Secure Networks, Access Control, Firewalls, Host Hardening, Application Security, Data Protection, Incident Response, and Networking and Review of TCP/IP. A clear theoretical understanding supports a large practical component where students learn to use contemporary security software to secure and assess information systems and network infrastructure using a hands-on approach.

MIS
562
Hours
3
Enterprise Integratn Developmn

Application of techniques and methodologies to develop and deliver enterprise-level business information systems solutions.

MIS
563
Hours
3
Behavioral Cyber Security

This course provides students with a solid foundation of information security management, with an emphasis on its human element. As part of this understanding, we will explore how humans, as employees of an organization and consumers of organizational products and services, perceive threats to themselves, their digital assets, their privacy, and to their organizational affiliations. We also explore how these perceptions are operationalized in their behaviors as organizational insiders, serving to either undermine or facilitate security management practices.

MIS
564
Hours
3
Organizational Security Management

The course is intended to teach students how to develop and apply an information security management plan to an organization. Topics include governance and security policy, threat and vulnerability management, incident management, risk management, information leakage, crisis management and business continuity, compliance management, and security awareness and security implementation considerations. Students will also be exposed to the national and international policy and legal considerations related to cybersecurity and cyberspace such as privacy, intellectual property, and cybercrime.

MIS
566
Hours
3
Introduction to Cybercrime and Digital Forensics

This course introduces the topics of cybercrime and digital forensics. Students will learn different aspects of cybercrime and methods to uncover, protect and analyze digital evidence. They will be exposed to different types of software and hardware tools and use them to perform rudimentary investigations. Cybercrime and digital forensics are increasingly important areas of study. Students will also gain an understanding of evidentiary law from the perspective of first responders. Tools are becoming more powerful and attacks more sophisticated. Consequently, there is a growing need for graduates with the skills to investigate these crimes.

MIS
591
Hours
3
Independent Study Mgt Info Sys

No description available.

MIS
592
Hours
3
Internship In Mgt Info Systems

No description available.

MIS
597
Hours
1-6
Spec Top Mgt Info Systems

No description available.

MIS
598
Hours
1-6
Res In Management Info Systems

Open to students nearing completion of coursework for the master's degree. A supervised study and investigation of specific problems in management and management information systems.

MIS
670
Hours
3
MIS Behavioral and Organizational Theory and Design Research Seminar

The exploration of IS development and delivery research issues. Emphasis is placed on exploring the scientific method, theory building research, and methods of inquiry. Provides a framework for undertaking and evaluating MIS research.

MIS
680
Hours
3
Research Seminar II

This doctoral research seminar will provide students with a strong foundation in the theoretical and methodological knowledge required to conduct rigorous security and privacy research projects that lead to manuscripts suitable for publication in leading journals. This knowledge is what we term "procedural knowledge" and, just as you cannot learn how to ride a bike by reading about it, students must engage in actual research activities to learn the requisite knowledge. In this course, students will first critically review security and privacy research publications from the leading MIS journals and then, based on those studies, conceive a full research project, including a relevant set of research questions and a research design appropriate to the questions.

Prerequisite(s): MIS 670 or Instructor Approval
MIS
685
Hours
3
MIS Research Design Seminar

This course is an examination of the process of designing and conducting research projects on information systems phenomena. Students will gain an appreciation for the challenges and issues associated with the application of different research methodologies to MIS phenomena.

MIS
690
Hours
3
Research Methods Seminar

This seminar is a discussion of the basis and principles of systems modeling and the methods of social science research. The seminar also nurtures the motivation to become a contributor to the organizational sciences and information systems research communities by examining research processes, methodologies, and strategies, the information systems research context, concepts, theories, the application of systems modeling, and the nature of MIS research.

MIS
699
Hours
1-12
Dissertation Research

This independent research course partially fulfills required doctoral-level research dissertation hours toward the doctoral degree. Under the guidance of their dissertation advisor, students conduct research toward the completion of their doctoral dissertation. Employing various research techniques and methodologies, students work on theoretical and/or applied research topics with the aim of making a novel contribution to the field.

Operations Management Courses

OM
500
Hours
3
MGT Science & Spreadsheet Mod

This course provides Operations Management concepts and applications in data-driven decision making. Emphasis is on data clean-up, data analysis, problem formulation, and interpretation of results using spreadsheet-based modeling and solution procedures including optimization and simulation approaches.

OM
506
Hours
1-3
Business Spreadsheet Analytics

This course provides Operations Management concepts and applications in data-driven decision making. Emphasis is on data clean-up, data analysis, problem formulation, and interpretation of results using spreadsheet-based modeling and solution procedures including optimization and simulation approaches.

OM
516
Hours
3
Operations Management

This course will address the important concepts and issues related to the design and management of business operations including manufacturing, distribution, logistics, transportation, and service operations. The course will demonstrate how certain quantitative methods can be applied to the analysis and solution of problems that arise in operations management.

OM
517
Hours
3
Supply Chain Modeling & Analys

This course provides a framework and quantitative methods for designing, managing, and analyzing the supply chain operations needed to support a firm's business strategy. Students will study the structure of supply chain operations in terms of six supply chain drivers (facilities, inventory, transportation, information, sourcing, and pricing). Students will develop analytical models and analyze the relationship between supply chain structure and performance through case studies and examples.

Prerequisite(s): OM 500 or OM 506
OM
522
Hours
3
Operations Scheduling Problems

A broad investigation of a variety of scheduling activities in production, logistics or service environment are discussed. Typical topics include project scheduling, job-shop scheduling, routing related problems and manpower scheduling.

Prerequisite(s): OM 500 or OM 506
OM
523
Hours
3
Inventory Management

Principles, models, and techniques for planning, analyzing, and controlling inventory systems are discussed. Topics include in depth analysis of deterministic and stochastic inventory models and their applications. The limitations and usefulness of these models in practice are addressed.

Prerequisite(s): ST 509 or ST 550 or ST 560
OM
524
Hours
3
Mfg Sched & Control Systems

An in-depth, analytical study of the systems used in manufacturing planning and control are covered. Alternative approaches used in practice (such as MRP and JIT) are studied.

Prerequisite(s): OM 500 or OM 506; and ST 509 or ST 550 or ST 560
OM
525
Hours
3
Effective Quality Management

Provide participants with a broad understanding of philosophies and methods used to enhance organizational effectiveness in a wide range of organizational settings.

OM
527
Hours
3
Purchasing and Sourcing

Course covers fundamental purchasing concepts and quantitative techniques for analyzing procurement practices, selecting suppliers, managing supply risk, and improving operational procurement decisions.

Prerequisite(s): OM 500 or OM 506
OM
540
Hours
3
Systems Simulation

A study of the management applications of stochastic and deterministic mathematical and computer models in systems design and analysis.

Prerequisite(s): ST 509 or ST 550 or ST 560
OM
550
Hours
3
Process Mgmt & Improvement

No description available.

OM
592
Hours
3
Internship

No description available.

OM
596
Hours
3
Capstone Project

This course requires the student to apply his/her knowledge of the field of Operations Management to recognize and model operational problems and/or processes targeted for improvement. Further, the student must provide evidence of his/her abilities to communicate understanding of the problem or process, describe the analysis performed, and organize this material effectively for both a written report and corresponding oral presentation.

OM
597
Hours
1-6
Special Topics in OM

No description available.

OM
598
Hours
1-6
Research

Open to students nearing completion of coursework for the master's degree. A supervised study and investigation of specific problems in management and operations management.

OM
600
Hours
3
Linear Program: Theory & Appli

The theory and application of linear programming are rigorously studied. Software tools such as AMPL and OPL Studio for solving linear programs are introduced.

OM
601
Hours
3
Stochastic Decision Models

Probabilistic models in the decision-making process are discussed. Attention is given to the assumptions, development, and administrative implications of dynamic programming, queuing analysis, and decision analysis.

Prerequisite(s): MATH 557
OM
602
Hours
3
Nonlinear Modeling and Optimization

Theoretical and applied aspects of nonlinear modeling and optimization such as unconstrained and constrained optimization, duality, barrier and interior point methods, and large-scale optimization.

Prerequisite(s): OM 600
OM
603
Hours
3
Integer Modeling and Optimization

Theoretical and applied aspects of integer and discrete modeling and optimization such as valid inequalities, transformations, branch and bound, column generation, and branch and cut.

Prerequisite(s): OM 600
OM
620
Hours
3
Production Management Models

A quantitative study of models and procedures used in various decision problems addressed by production and operations managers is completed in this course. Mathematical modeling and optimization software packages are used in solving these models.

Prerequisite(s): OM 500
OM
623
Hours
3
Inventory Theory

A rigorous, mathematical treatment of stochastic single- and multi-item inventory models is performed. A numerical analysis and software package is used to implement and analyze such models.

Prerequisite(s): OM 523 and ST 560; or ST 550
OM
695
Hours
1
Operations Management Seminar

A learning environment designed to expose Ph.D. students to a wide array of issues and topics related to operations management research.

OM
697
Hours
1-6
Special Topics

Special Topics.

OM
699
Hours
1-12
Dissertation Research

No description available.

Statistics Courses

ST
509
Hours
3
Stat For Business Appl

A broad introduction to statistical and probabilistic methods useful for managerial decision making. Topics include graphical displays, numerical summaries, basic probability models, confidence intervals, hypothesis testing, and regression analysis.

ST
521
Hours
3
Statistical Data Management

Introduction to the management of data using SAS. The collection and management of data from business or scientific research projects are emphasized.

ST
522
Hours
3
Adv Statistical Data Mgt

This course provides students with insight and understanding into the advanced aspects of data management. Emphasis will be placed on computer techniques for the preparing and cleaning of data from scientific research projects as well as for business-oriented projects in order to conduct advanced level analyses. Techniques for detecting, quantifying, and correcting data quality will be covered.

Prerequisite(s): ST 521
ST
531
Hours
3
Data Mining I

Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown patterns of data. Techniques for accomplishing these tasks in a business setting will be discussed.

Prerequisite(s): ST 550 or ST 560 or ST 509
ST
532
Hours
3
Advanced Data Mining

A detailed study of data mining techniques including logistic regression, neural networks, decision trees, general classifier theory, and unsupervised learning methods. Mathematical details and computer techniques are examined. The SAS programming language and SAS's Enterprise Miner will be used to accomplish these tasks. Other packages may also be used.

Prerequisite(s): ST 531
ST
540
Hours
3
Statistical Programming and Computing with R

This course explores the syntax of the R language and its capabilities for statistical data analysis, computing, and graphics.

Prerequisite(s): ST 260
ST
541
Hours
3
Applied Statistical Modeling for Analytics I

Emphasis is on practical methods of statistical data analysis and their interpretation. Topics include simple and multiple linear regression, regression model interpretation, regression diagnostics, transformations on dependent and independent variables, qualitative independent variables, regression inference, strategies for model building, methods for forecasting time series data. Extensive use of statistical software.

Prerequisite(s): ST 560
ST
545
Hours
3
Introduction to Statistical Learning and Data Mining

This course offers an introduction to the field of statistical learning, an essential toolkit for making sense of vast and complex data sets.

Prerequisite(s): ST 452 or ST 552 or ST 560
ST
550
Hours
3
Stat Methods In Res I

Development of fundamental concepts of organizing, exploring, and summarizing data; probability; common probability distributions; sampling and sampling distributions; estimation and hypothesis testing for means, proportions, and variances using parametric and nonparametric procedures; power analysis; goodness of fit; contingency tables. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Emphasis is on methods and on selecting proper statistical techniques for analyzing real situations.

ST
552
Hours
3
Applied Regression Analy

Modeling issues for multiple linear regression are discussed in the context of data analysis. These include the use of residual plots, transformations, hypothesis tests, outlier diagnostics, analysis of covariance, variable selection techniques, weighted least squares and colinearity. The uses of multiple logistic regression are similarly discussed for dealing with binary-valued dependent variables.

Prerequisite(s): ST 450 or ST 550 or ST 560 or ST 509
ST
553
Hours
3
Appld Multivariate Analy

Methods and business applications of multivariate analysis, discriminant analysis, canonical correlation, factor analysis, cluster analysis, and principal components.

ST
554
Hours
3
Math Statistics I

Distributions of random variables, moments of random variables, probability distributions, joint distributions, and change of variable techniques.

ST
555
Hours
3
Math Statistics II

Theory of order statistics, point estimation, interval estimation, and hypothesis testing.

Prerequisite(s): ST 554
ST
560
Hours
3
Statistical Methods

Statistical methods for summarizing data; probability; common probability distributions; sampling and sampling distributions; estimation and hypothesis testing for means, proportions, and variances using parametric and nonparametric procedures; power analysis; goodness of fit; contingency tables; and simple regression and one-way analysis of variance.

ST
561
Hours
3
Applied Design Expermnts

An introduction to the design and analysis of experiments. Topics include factorial, fractional factorial, block, incomplete block, and nested designs. Other methods discussed include Taguchi Methods, response surface methods, and analysis of covariance.

Prerequisite(s): GES 400 or GES 500 or BER 540 or CHS 425 or CHS 525 or ST 509 or ST 550 or ST 560
ST
575
Hours
3
Statistl Quality Control

Statistical methods useful in control and improvement of manufactured products, including statistical process control with variables and attribute control charts, and process improvement with designed experiments. Emphasis is placed on design, implementation, and interpretation of the techniques.

Prerequisite(s): ST 550 or ST 560 or ST 509
ST
591
Hours
3
Independent Study

No description available.

ST
592
Hours
3
Internship

No description available.

ST
597
Hours
1-6
Special Topics

No description available.

ST
603
Hours
3
Advanced Inference

A continuation of ST 555, with emphasis on the general theory of estimation and hypothesis testing and large sample distribution theory.

Prerequisite(s): ST 555
ST
610
Hours
3
Linear Models

Gauss-Markov Theorem, solution of linear systems of less than full rank, generalized inverse of matrices, distributions of quadratic forms, and theory for estimation and inference for the general linear model.

ST
615
Hours
3
Theory Of Regression

Theory of the general linear regression models and inference procedures, variable selection procedures, and alternate estimation methods including principal components regression, robust regression methods, ridge regression, and nonlinear regression.

Prerequisite(s): ST 610
ST
635
Hours
3
Nonparametric Statistics

Theory and applications of various nonparametric statistical methods are covered for one-sample, two-sample, and multi-sample problems. Goodness of fit techniques such as Chi-square and the kolmogorov-Smirnov test are covered along with graphical analysis based on P-P and Q-Q plots. Computer software such as MINITAB, SAS, and STATXACT are used.

ST
640
Hours
3
Statistical Computing

Topics include a survey of current statistical software, numerical methods for statistical computations, nonlinear optimization, statistical simulation, and recent advances in computer-intensive statistical methods.

ST
697
Hours
1-6
Special Topics

Special topics in statistics.

ST
698
Hours
1-6
Research In Statistics

Open only to graduate students nearing completion of coursework. Independent study and investigation of specific problems for advanced students of statistics.

ST
699
Hours
1-12
Dissertation Research

No description available.