Information Systems and Operations Management

The Department of Information Systems and Operations Management (ISOM) offers a rich environment for studying and excelling in the fields of technology and/or operations.   Students learn the business and technical skills for a more effective and efficient organization.  Faculty are dedicated to teaching and nurturing students to help them achieve their full potential.   ISOM  fosters relationships with the community and works closely with industry to address their technology and operations needs.

The ISOM Department offers a BBA in Information Systems, BBA in Operations Management, an MS in Business Analytics, an MS in Information Systems, and a Ph.D. in Business Administration with emphasis in Operations Management or Information Systems. Students are prepared for a variety of careers in these fields.

Scholastic Activity and Research Interests of the Faculty

Faculty conduct research in their respective fields and make significant contributions to industry and academia by publishing, speaking and attending conferences.  All faculty are eager to share their experiences and research knowledge.  Research topics include business analytics, security, business intelligence, quality management, operations process and control, and many more.

Courses

BSTAT 3321. BUSINESS STATISTICS I. 3 Hours.

Application of statistical techniques to business and economic data. Descriptive statistics, probability distributions, estimation, inference, regression, correlation, and time series. Prerequisite: MATH 1316 or other calculus course.

BSTAT 3322. BUSINESS STATISTICS II. 3 Hours.

Application of statistical inference to problems in business and economics. Sampling theory, nonparametric methods, and forecasting. Special attention to statistical research. Prerequisite: BSTAT 3321.

BSTAT 5301. INTRODUCTION TO STATISTICS. 3 Hours.

Introduction to statistics, designed to prepare graduate students to become competent consumers of statistical information that they will encounter in their professional and personal lives. Students should be able to perform basic statistical analyses and to think critically when interpreting statistical results. Topics include probability, random variables, sampling distributions, confidence intervals, tests of hypotheses, and simple regression. May not be counted as an MBA foundation course or elective. Prerequisite: MATH 1315.

BSTAT 5303. QUANTITATIVE ANALYSIS. 3 Hours.

Study of the methods of quantitative analysis used in business administration. Topics include matrix algebra, systems of linear equations, differential and integral calculus, linear programming, classical optimization, and a survey of management science models. Prerequisite: MATH 1315.

BSTAT 5315. STATISTICAL METHODS FOR HEALTH CARE ADMINISTRATORS. 3 Hours.

Statistical methods designed to prepare graduate students to become competent producers and consumers of data analyses and to use statistical thinking to approach managerial decision making. Students should be familiar with the effectiveness and limitations of various applicable techniques and should be able to recognize when additional statistical expertise is required. Topics include an introduction to evidenced based medicine, probability with an emphasis on the poor predictive value of imperfect diagnostics for rare conditions, standardizing and trending data, graphic and numeric descriptions of data, concepts of inference such as margins of error and significance of results, concepts of quality control including time series analysis and forecasting, and health care applications of discrete random variables with Poisson or binomial probability mass functions. It is recommended that students who have no recent courses in statistics take BSTAT 5301 prior to BSTAT 5315.

BSTAT 5325. ADVANCED STATISTICAL METHODS. 3 Hours.

Advanced statistical methods designed to prepare graduate students to become competent producers and consumers of statistical methods and to use statistical thinking to approach managerial decision making in their careers. They should be able to recognize the strengths and weaknesses of applicable techniques and when additional statistical expertise is required. Topics include multiple regression, correlation, experimental design and analysis, time series and other statistical methods with emphasis on their application to managerial decision making. It is strongly recommended that students who have no recent courses in statistics take BSTAT 5301 prior to BSTAT 5325.

BSTAT 5330. Nonparametric Statistics. 3 Hours.

A survey of statistical tools which may be used when the normal assumptions of parametric statistics cannot be made; including procedures for categorical data, methods involving ranks, bootstrapping, and Kolmogorov-Smirnov type techniques. Cross-listed with BSAD 6330. Prerequisite: BSTAT 5325 or equivalent.

BSTAT 5360. COMPUTATIONAL TECHNIQUES FOR BUSINESS ANALYTICS. 3 Hours.

Computer software is the primary analytical tool for business analytics and modern research methods. Data analysts, statisticians, and researchers need technologies and skills using the computer as a tool for structuring and cleaning data sets, creating validation samples, conducting analyses, fitting models, simulating stochastic systems, model validation, and model presentation. Emphasis is placed on the use of data analytic software. Cross-listed with INSY 5360. Prerequisite: BSTAT 5325 or equivalent.

BSTAT 5392. SELECTED TOPICS IN BUSINESS STATISTICS. 3 Hours.

In-depth study of selected topics in business statistics. May be repeated when topics vary.

BSTAT 5399. GRADUATE BUSINESS ANALYTICS INTERNSHIP. 3 Hours.

Practical training in business statistics. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

BSTAT 6382. INDEPENDENT STUDIES IN BUSINESS STATISTICS. 3 Hours.

Extensive analysis of a business statistics topic.

Courses

INSY 2303. INTRODUCTION TO M.I.S. AND DATA PROCESSING. 3 Hours.

Introduction to business data processing, computer programming, management information systems, and problems involved in business information processing systems. Selected software tools are presented and managerial applications are required. Formerly BUSA 2303; credit will be granted only once.

INSY 3300. INTRODUCTION TO PROGRAMMING. 3 Hours.

An introductory programming course that teaches students how to solve business problems using the scripting language, Python. Students will be exposed to object-oriented programming concepts, file handling, database access, and graphical user interfaces. Prerequisite: INSY 2303.

INSY 3303. COMPUTER NETWORKS AND DISTRIBUTED COMPUTING. 3 Hours.

Concepts of computer networks and data communications. Topics include principles of communication and networking protocols, hardware and software, architectures, and management issues. Formerly INSY 4304; credit will be granted only once. Prerequisite: INSY 2303.

INSY 3304. DATABASE MANAGEMENT SYSTEMS. 3 Hours.

Comprehensive coverage of database technology and applications. Data models, query processing (SQL), relational database design, and implementation. Topics covered are hierarchical, network, relational, and object-oriented models, data dictionaries, distributed databases, evaluation and selection of database management systems (DBMS), and data administration. Formerly INSY 4302; credit will be granted only once. Prerequisite: INSY 3300.

INSY 3305. INFORMATION SYSTEMS ANALYSIS AND DESIGN. 3 Hours.

This is a survey of the concepts and methods of information systems analysis and design, system development life cycle (SDLC) and methodologies associated with the SDLC. Course covers feasibility analysis, requirements definition, systems design, data design, coding design, programming, and implementation. Prerequisite: INSY 3304 and INSY 4305. INSY 4305 may be taken concurrently.

INSY 3309. DATA ANALYTICS USING PYTHON PROGRAMMING. 3 Hours.

The aim of this course is to acquaint students with aspects of the Python language that are necessary to effectively function as a data scientist. Upon successful completion of the course, students will be familiar with data structures and programming constructs in the Python language, accessing data from files and databases, Market-Basket Analysis, Text Analytics, and Machine Learning. Prerequisite: INSY 3300.

INSY 3330. INTRODUCTION TO E-COMMERCE. 3 Hours.

Examines current and projected developments in electronic commerce. Topics include the information technologies upon which electronic commerce is based, such as the telecommunications infrastructure; new perspectives on space, time and money in business; electronic consumers and advertising; the effect of e-commerce on logistics and supply chain management; electronic financial markets and digital payment mechanisms; marketing through digital storefronts and virtual corporations; new frontiers of business such as electronic auctions and business to business e-commerce; the relationship between e-commerce and successful business strategy; and finally, public policy. Formerly BUSA 3330; credit will be granted only once. Prerequisite: INSY 2303.

INSY 4191. STUDIES IN INFORMATION SYSTEMS. 1 Hour.

Advanced studies, on an individual basis, in the various fields of information systems. Prerequisite: Senior standing and permission of instructor. May be repeated for credit with consent of department chair.

INSY 4291. STUDIES IN INFORMATION SYSTEMS. 2 Hours.

Advanced studies, on an individual basis, in the various fields of information systems. Prerequisite: 90 credit hours and permission of instructor. May be repeated for credit with consent of department chair.

INSY 4305. ADVANCED APPLICATION DEVELOPMENT. 3 Hours.

This is a comprehensive Java programming course that not only covers the fundamental object-oriented programming (OOP) topics but also includes advanced Java programming concepts. Topics include structured programming concepts like control structures and methods as well as OOP concepts like encapsulation, composition, inheritance, polymorphism, dynamic binding, and interfaces. The course will also cover Swing components, exception and error handling, and the basics of file processing. Prerequisite: INSY 3300.

INSY 4306. ADVANCED SYSTEMS DEVELOPMENT. 3 Hours.

This course will address systems development, testing and deployment using Java. Students will be exposed to advanced Java concepts, including networking, multithreading, JDBC, advanced file handling, and regular expressions. The course will also cover web services and test-driven development using JUnits. Prerequisite: INSY 3305.

INSY 4308. MOBILE APPLICATION DEVELOPMENT. 3 Hours.

A hands-on introduction to mobile application development, including market opportunities, challenges, and architectural models. Course covers an overview and comparison of technical approaches by the most popular mobile platforms. Students will become familiar with the end-to-end process to install, develop, test, and distribute mobile applications. In addition, the challenges of application development for the mobile market, including limited screen size and memory, gesture based GUI, connectivity, and the user experience will be covered. Prerequisite: INSY 4305.

INSY 4312. FUNDAMENTALS OF INFORMATION SECURITY. 3 Hours.

This course provides an introduction to the field of Information Security. It covers terminology, history, management, technology and practice of Information Security. It will address topics in many of the Security Domains specified by ISC2. Prerequisite: INSY 3303.

INSY 4315. ADVANCED WEB DEVELOPMENT. 3 Hours.

Concepts and techniques for Web application development. The course will emphasize the use of Web development tools and techniques to develop web applications. Topics include web application development using technologies such as HTML/DHTML/XHTML, client-side scripting, XML/XSL and server-side scripting. Prerequisite: INSY 3300.

INSY 4325. INFORMATION RESOURCE MANAGEMENT. 3 Hours.

This course provides a broad managerial view of the challenges and opportunities of deploying and managing Information Technology (IT) resources including an understanding of the influence of IT on business decisions from a senior management perspective. Students will be exposed to emerging trends, challenges, and opportunities in enterprise software development/deployment/architectures, including SOA (service-oriented architecture), cloud-computing, and business intelligence. The role of ERP (enterprise resource planning) systems and hands-on experience with a real-world ERP system will be covered. Prerequisite: INSY 3305. INSY 3305 may be taken concurrently.

INSY 4331. SEMINAR IN INFORMATION SYSTEMS. 3 Hours.

Readings and discussion of special topics in information systems. Prerequisite: 60 or 90 credit hours and consent of instructor. May be repeated for credit with consent of department.

INSY 4391. STUDIES IN INFORMATION SYSTEMS. 3 Hours.

Advanced studies, on an individual basis, in the various fields of information systems. Prerequisite: 90 credit hours and permission of instructor. May be repeated for credit with consent of department chair.

INSY 4393. INFORMATION SYSTEMS INTERNSHIP. 3 Hours.

Practical training in information systems. Analysis of theory applied to real life situations. May be used as an advanced business elective only; graded on a pass/fail basis. No credit will be given for previous experience or activities. May not be repeated for credit. Prerequisite: Junior standing and consent of department internship advisor.

INSY 5182. INDEPENDENT STUDIES IN INFORMATION SYSTEMS. 1 Hour.

Extensive analysis of an information systems topic. Prerequisite: permission of instructor.

INSY 5199. GRADUATE INFORMATION SYSTEMS INTERNSHIP. 1 Hour.

Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY 5299. GRADUATE INFORMATION SYSTEMS INTERNSHIP. 2 Hours.

Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY 5309. OBJECT-ORIENTED BUSINESS PROGRAMMING. 3 Hours.

Topics include fundamental programming structures, objects and classes, inheritance, and other basic concepts related to OO programming.

INSY 5335. APPLIED DATABASE MANAGEMENT. 3 Hours.

Concepts, tools, and technologies associated with the design, implementation and management of large databases are presented. Topics include data models (with emphasis on E/R model and relational model), database design and implementation, database query language, transaction management, and distributed databases. Recent advances in data management are also discussed. Use of a commercial DBMS is required. Prerequisite: INSY 5309 or approval of MSIS Graduate Advisor.

INSY 5337. DATA WAREHOUSING AND BUSINESS INTELLIGENCE. 3 Hours.

This course covers concepts, tools, and technologies associated with the design and implementation of data warehousing (DW) and business intelligence (BI) applications. Topics covered include data warehouse architecture and infrastructure, dimensional modeling, Extraction Transformation and Loading (ETL), On Line Analytical Processing (OLAP), data quality, and planning and implementation of a DW & BI application. The course objectives are met through a combination of lectures, class projects and homework assignments. Hands-on experience in developing and deploying a DW & BI application is provided. Prerequisite: INSY 5335 or consent of graduate advisor.

INSY 5339. PRINCIPLES OF BUSINESS DATA MINING. 3 Hours.

This course will cover the foundations of business data mining. It will examine tools and techniques from the fields of machine learning (AI) and statistics used in practical data mining for finding, and describing, structural patterns in data. Topics include: Knowledge representation and different types of data; Techniques for data pre-processing, cleaning, reduction, transformation, and visualization; Methods for Classification, Clustering, and Association Rules, including Decision Trees, Rules, Naive Bayes, k Nearest Neighbor, Neural Networks, Support Vector Machines (SVM), One R, Regression, A-Priori, K-means, and hierarchical and density-based clustering; Performance evaluation of data mining algorithms using metrics like precision, recall, f-measure, and ROC curves. This course uses real world data sets and Weka software which is a collection of machine learning algorithms for data mining tasks that can be downloaded for free. Prerequisite: BSTAT 5325 or equivalent. May be taken concurrently.

INSY 5340. MANAGING THE DIGITAL ENTERPRISE. 3 Hours.

This course examines a wide variety of topics important to understanding and managing the Digital Enterprise. Topics may include: Internet infrastructure and related technologies; e-business models; security; ethical, legal, global, and social concerns; and managerial and marketing issues.

INSY 5341. ANALYSIS AND DESIGN. 3 Hours.

Analysis and design phase of systems development life cycle. Topics include systems survey, functional specification, interface specification, data design, program design, system testing, and implementation. Prerequisite: INSY 5335.

INSY 5342. ADVANCED SYSTEMS DESIGN. 3 Hours.

This course provides an understanding of state-of-the-art software development methodologies, including those that are fast emerging. The focus will be on how these new methods differ from traditional practices and what research opportunities they afford to IS researchers. There will be a strong emphasis on technical as well as on socio-technical aspects of software development in the context of these new methodologies. Prerequisite: INSY 5341.

INSY 5343. DATA COMMUNICATIONS AND NETWORKING. 3 Hours.

Technological and managerial issues related to design, operation and maintenance of computer networks. Topics include communication architectures and protocols, LANs and WANs, ATM and frame relay, cellular and satellite communication, the World Wide Web, the Internet, and electronic commerce.

INSY 5347. PRINCIPLES OF INFORMATION SECURITY. 3 Hours.

Starting with an introduction to Information Security concepts, this course will address security terminology, history, management, technology and practice based on the Security Domains specified by ISC2. The course will address strategies and tools, managerial, technological, legal, ethical and operational issues related to Information Security. Topics in developing Security Blueprint, Incidence Response, Business Continuity planning and Disaster Recovery will be addressed. Prerequisite: INSY 5343.

INSY 5350. HEALTH CARE INFORMATION SYSTEMS. 3 Hours.

Addresses issues in the development, integration, and management of health care information systems. Specifically, topics in financial information systems, patient care systems, and health care delivery applications will be discussed. Both case studies and real life applications will be studied. Prerequisite: Cohort HCAD Major.

INSY 5352. TOPICS IN OBJECT TECHNOLOGY. 3 Hours.

Coverage of current topics in Object Technology to include the study of object-oriented agents, components, object request Brokers, distributed objects and related implementations of object-oriented software. Also includes the study of design patterns in object-oriented software design. Prerequisite: INSY 5309.

INSY 5357. ENTERPRISE RESOURCE PLANNING. 3 Hours.

An introduction to enterprise resource planning (ERP), a business management paradigm that integrates all facets of the business, including planning, manufacturing, sales, finance and marketing. Course will cover both the methodology and practice of ERP using commercial software packages.

INSY 5360. COMPUTATIONAL TECHNIQUES FOR BUSINESS ANALYTICS. 3 Hours.

Computer software is the primary analytical tool for business analytics and modern research methods. Data analysts, statisticians, and researchers need technologies and skills using the computer as a tool for structuring and cleaning data sets, creating validation samples, conducting analyses, fitting models, simulating stochastic systems, model validation, and model presentation. Emphasis is placed on the use of data analytic software. Cross-listed with INSY 5360. Prerequisite: BSTAT 5325 or equivalent.

INSY 5373. INFORMATION SYSTEMS PROJECT MANAGEMENT. 3 Hours.

This course introduces students to the concepts and practices of project management and their importance to improving the success of information technology projects. Distinct aspects or characteristics of IT projects which cause these projects to behave differently in the corporate world than do other, non-technical, projects will be discussed.

INSY 5375. MANAGEMENT OF INFORMATION TECHNOLOGIES. 3 Hours.

This course covers topics on the management of information technologies (IT) from the view point of senior managers. Subjects discussed include the strategic role of IT to gain competitive advantage, Internet-based business models, building a lean and agile organization through IT, managing IT security and reliability, evolving models of IT service delivery, such as cloud computing and open source, management of outsourcing, IT governance, and ethical issues in the digital era. In addition to classroom lectures, the course relies heavily on case analysis and discussion to provide a real world perspective of issues related to IT management.

INSY 5376. BIG DATA ANALYTICS. 3 Hours.

This course addresses the concepts and principles of Big Data and how Big Data can be used in the Enterprise. The course provides an overview of the fundamental principles of Big Data Analytics and its role in making better decisions and predictions in the organization. The course also covers the Technology, Infrastructure and Applications of Big Data. Concepts of data identification, data cleansing and integration are also addressed. Software and Application requirements of Big Data are addressed and case studies of Big Data Applications are discussed. Prerequisite: INSY 5337 and BSTAT 5325.

INSY 5377. WEB AND SOCIAL ANALYTICS. 3 Hours.

This course introduces the concepts, techniques, and tools of collecting and analyzing digital data on how users interface with an organization through the web and social media. The Internet and mobile technologies provide the vast sources of user data that describe or imply their behaviors, experiences, and attitudes. Analyzing these web (click) stream data and social media data serves the purposes of strengthening customer relationship management, improving online marketing (e.g. advertising, recommendation, pricing), and increasing the bottom line. The course will consist of lectures, case studies, hands-on exercises, and projects. Prerequisite: BSTAT 5325 or equivalent.

INSY 5378. DATA SCIENCE: A PROGRAMMING APPROACH. 3 Hours.

The world is awash in data and companies are now trying to discern patterns and predict behaviors of both consumers and competitors to gain and sustain a competitive advantage. The unstructured nature of data as well as the myriad sources they come from make it particularly challenging for companies to systematically capture, cleanse, store, and analyze the data. Python is a simple yet powerful language that has a rich ecosystem to facilitate the analysis of such complex data. The aim of this course is to acquaint students with aspects of the Python language that are necessary to effectively function as a data scientist. Upon successful completion of the course, students will be familiar with data structures and programming constructs in the Python language, accessing data from files and databases, Market-Basket Analysis, Text Analytics, and Map-Reduce. Prerequisite: Programming background required.

INSY 5379. BUSINESS ANALYTICS CAPSTONE PROJECT. 3 Hours.

This is a hands-on, project-oriented course that gives students an opportunity to engage with the business community and apply their learning to a real-world problem. Students will draw on their repertoire of analytical to develop an appropriate solution to a problem faced by an organization. In addition to preparing a detailed report, students will present their findings to faculty and/or members of the business community. The course places considerable emphasis on problem-solving as well as on written and oral communication skills. Prerequisite: INSY 5339 and ECON 5337 or consent of the advisor.

INSY 5380. SOCIAL NETWORK ANALYSIS. 3 Hours.

The enormous amount of data being generated by social networking sites as well as social media has the potential to provide insights into the behaviors of people and/or organizations. The course covers various aspects of social network analysis (SNA), including computation of structural characteristics of a network, analysis of ego and complete networks, position and role analysis, and statistical methods used in testing hypotheses related to social networks. In addition to covering the theoretical underpinnings of social networks, the course also emphasizes the analysis of real-world social network data using popular software applications/languages.

INSY 5382. INDEPENDENT STUDIES IN INFORMATION SYSTEMS. 3 Hours.

Extensive analysis of an information systems topic.

INSY 5392. SELECTED TOPICS IN INFORMATION SYSTEMS. 3 Hours.

In-depth study of selected topics in information systems. May be repeated when topics vary.

INSY 5398. THESIS. 3 Hours.

Graded F,R,P.

INSY 5399. GRADUATE INFORMATION SYSTEMS INTERNSHIP. 3 Hours.

Practical training in information systems. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

INSY 5698. THESIS. 6 Hours.

Graded F, R, P.

INSY 6182. INDEPENDENT STUDY IN INFORMATION SYSTEMS. 1 Hour.

Doctoral level study of information systems topics. Prerequisite: Doctoral standing.

INSY 6301. SEMINAR IN RESEARCH FOUNDATIONS. 3 Hours.

Integrative analysis of research in information systems, including research philosophies and methodologies, contemporary research topics, dissertation research and future directions for information systems research. Prerequisite: Doctoral standing.

INSY 6306. SEMINAR IN INFORMATION TECHNOLOGIES. 3 Hours.

Focuses on contemporary technology issues in IS development and deployment. Prerequisite: Doctoral standing and INSY 6301.

INSY 6307. SEMINAR IN IS MANAGEMENT. 3 Hours.

Focuses on managerial and organizational issues in IS. Prerequisite: Doctoral standing and INSY 6301.

INSY 6382. INDEPENDENT STUDIES IN INFORMATION SYSTEMS. 3 Hours.

Extensive analysis of an information systems topic.

INSY 6392. SELECTED TOPICS IN INFORMATION SYSTEMS. 3 Hours.

Advanced doctoral level topics in Information Systems. May be repeated when topics vary. Prerequisite: Doctoral standing.

Courses

MASI 5182. INDEPENDENT STUDIES IN MANAGEMENT SCIENCES. 1 Hour.

Extensive analysis of a management sciences topic.

MASI 5199. GRADUATE MANAGEMENT SCIENCES INTERNSHIP. 1 Hour.

Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI 5282. INDEPENDENT STUDIES IN MANAGEMENT SCIENCES. 2 Hours.

Extensive analysis of a management sciences topic.

MASI 5299. GRADUATE MANAGEMENT SCIENCES INTERNSHIP. 2 Hours.

Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI 5332. ADVANCED DATA COLLECTION. 3 Hours.

Surveys, audits, samples and experimental designs contrasted and compared as a basis for statistical inference. Emphasis is on the integration of techniques common to differing areas of business research. Prerequisite: BSTAT 5325.

MASI 5382. INDEPENDENT STUDIES IN MANAGEMENT SCIENCES. 3 Hours.

Extensive analysis of a management sciences topic.

MASI 5399. GRADUATE MANAGEMENT SCIENCES INTERNSHIP. 3 Hours.

Practical training in management science. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

MASI 6309. MULTIVARIATE STATISTICAL METHODS. 3 Hours.

Focuses on methods of analyzing mean and covariance structures. Topics include commonly applied multivariate methods such as multiple analysis of variance, repeated measures, discriminant analysis, profile analysis, canonical correlations, and factor analytic methods. The use of matrix algebra and available computer packages will be stressed. Prerequisite: Doctoral standing and BSTAT 5325.

Courses

OPMA 3306. OPERATIONS MANAGEMENT. 3 Hours.

Introduction to concepts and problem-solving techniques important in operations management and production management. Topics include demand forecasting, capacity management, resource allocation, inventory management, supply chain management, quality control, project management. Prerequisite: BSTAT 3321 or BSTAT 3322.

OPMA 3308. OPERATIONS PLANNING AND CONTROL. 3 Hours.

Course covers operations planning and control systems in manufacturing and service organizations. Topics include inventory control, material requirements planning, Just-in-Time and lean manufacturing, production scheduling, capacity planning, operations planning and control software. Prerequisite: OPMA 3306.

OPMA 3310. PROJECT MANAGEMENT. 3 Hours.

Course covers concepts and issues important in effectively managing projects. Topics include project selection, project planning, negotiation, budgeting, scheduling, resource allocation, project control, project auditing, and project termination. Corequisite: OPMA 3306.

OPMA 4191. STUDIES IN OPERATIONS MANAGEMENT. 1 Hour.

Advanced studies, on an individual basis, in the various fields of operations management. May be repeated for credit with consent of department chair. Prerequisite: 90 credit hours and permission of instructor.

OPMA 4291. STUDIES IN OPERATIONS MANAGEMENT. 2 Hours.

Advanced studies, on an individual basis, in the various fields of operations management. May be repeated for credit with consent of department chair. Prerequisite: 90 credit hours and permission of instructor.

OPMA 4301. COMPUTER MODELS IN OPERATIONS MANAGEMENT. 3 Hours.

Course covers applications of computer models used in operations management. Prerequisite: OPMA 3306.

OPMA 4302. LOGISTICS MANAGEMENT. 3 Hours.

Physical supply, in-plant movement and storage, and physical distribution which comprise logistics systems in industry. Topics include facility location, transportation, warehousing, inventory control, distribution networks, and logistics information systems. Prerequisite: OPMA 3306.

OPMA 4303. INTRODUCTION TO MANAGEMENT SCIENCES. 3 Hours.

Introduction to optimization and quantitative analysis of business problems. Topics include applications of linear and integer programming, network analysis, simulation, game theory, queuing theory, and other operations research tools. Prerequisite: OPMA 3306, may be taken concurrently.

OPMA 4307. QUALITY PLANNING AND ANALYSIS. 3 Hours.

Quality of products and services needed by society, to include consideration of quality costs and improvements, designing for quality, process controls, inspections, testing, acceptance sampling, management controls, and quality information systems. Prerequisite: OPMA 3306 and BUSA 3321/STAT 3321.

OPMA 4309. GLOBAL SUPPLY CHAIN MANAGEMENT. 3 Hours.

Course covers concepts and issues important in managing supply chains. A strategic view is taken of the way companies coordinate their operations with suppliers and customers in a global marketplace. The strategic use of information systems to better manage supply chains is also covered. Prerequisite: OPMA 3306.

OPMA 4314. SERVICE OPERATIONS. 3 Hours.

Service operations make up the fastest-growing segment in economies throughout the developed world. This course is intended to help emerging business leaders understand challenges and opportunities inherent in the unique nature of service operations. This course emphasizes both strategic and tactical decision-making, with a focus on the effective design, delivery and improvement of service outputs. Prerequisite: OPMA 3306.

OPMA 4331. SEMINAR IN OPERATIONS MANAGEMENT. 3 Hours.

Readings and discussion of special topics in operations management. May be repeated for credit with consent of department chair. Prerequisite: Junior or senior standing and consent of instructor.

OPMA 4391. STUDIES IN OPERATIONS MANAGEMENT. 3 Hours.

Advanced studies, on an individual basis, in the various fields of operations management. May be repeated for credit with consent of department chair. Prerequisite: 90 credit hours and permission of instruction.

OPMA 4393. OPERATIONS MANAGEMENT INTERNSHIP. 3 Hours.

Practical training in operations management. Analysis of theory applied to real life situations. May be used as an advanced business elective only; graded on a pass/fail basis. No credit will be given for previous experience or activities. May not be repeated for credit. Prerequisite: Junior standing and consent of department internship advisor.

OPMA 5199. GRADUATE OPERATIONS MANAGEMENT INTERNSHIP. 1 Hour.

Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA 5299. GRADUATE OPERATIONS MANAGEMENT INTERNSHIP. 2 Hours.

Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA 5321. INTRODUCTION TO MANAGEMENT SCIENCES. 3 Hours.

Introduction to optimization and quantitative analysis of business problems. Topics include applications of linear and integer programming, network analysis, simulation, game theory, queuing theory, and other operations research tools.

OPMA 5361. OPERATIONS MANAGEMENT. 3 Hours.

Introduction to concepts and problem-solving techniques important in production management and operations management. Topics include demand forecasting, capacity management, resource allocation, inventory management, supply chain management, quality control, and project management.

OPMA 5362. SERVICES OPERATIONS. 3 Hours.

Service operations make up the fastest-growing segment in economies throughout the developed world. This course is intended to help emerging business leaders understand challenges and opportunities inherent in the unique nature of service operations. This course emphasizes both strategic and tactical decision-making, with a focus on the effective design, delivery and improvement of service outputs.

OPMA 5363. OPERATIONS PLANNING AND CONTROL. 3 Hours.

Course covers operations planning and control systems in manufacturing and service organizations. Topics include inventory control, material requirements planning, Just-In-Time and lean manufacturing, production scheduling, capacity planning, and operations planning and control software. Previous introductory course in operations management suggested.

OPMA 5364. PROJECT MANAGEMENT. 3 Hours.

Course covers concepts and issues important in effectively managing projects. Topics include project selection, project planning, negotiation, budgeting, scheduling, resource allocation, project control, project auditing, and project termination.

OPMA 5367. QUALITY MANAGEMENT. 3 Hours.

Course focuses on quality of products and services needed by society. Topics include consideration of quality cost and improvements, designing for quality, process controls, inspections, testing, acceptance sampling, management controls, and quality information systems. Previous introductory course in statistics suggested.

OPMA 5368. GLOBAL SUPPLY CHAIN MANAGEMENT. 3 Hours.

Course covers concepts and issues important in managing supply chains. A strategic view is taken of the way companies coordinate their operations with suppliers and customers in a global marketplace. The strategic use of information systems to better manage supply chains is also covered. Previous introductory course in operations management suggested.

OPMA 5369. LOGISTICS MANAGEMENT. 3 Hours.

Course covers physical supply, in-plant movement and storage, and physical distribution of materials, which comprise logistics systems in industry. Topics include facility location, transportation, warehousing, inventory control, distribution networks, and logistics information systems. Previous introductory course in operations management suggested.

OPMA 5377. HEALTH CARE QUALITY ASSESSMENT. 3 Hours.

Covers an integrated case study approach to organizational performance management resulting in the delivery of ever-improving value to patients, improved health care quality and organizational sustainability, improvement of overall organizational effectiveness as a health care provider, and organizational learning.

OPMA 5379. ORGANIZATIONAL RESEARCH PROJECT. 3 Hours.

Students conduct a research project at a local organization, focusing on applications of business concepts studied in their coursework.

OPMA 5382. INDEPENDENT STUDIES IN OPERATIONS MANAGEMENT. 3 Hours.

Extensive analysis of an Operations Management topic.

OPMA 5389. INDEPENDENT STUDIES IN MILITARY ACQUISITION. 3 Hours.

This course is reserved for military officers in the Training with Industry or I-Grade programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA 5392. SELECTED TOPICS IN OPERATIONS MANAGEMENT. 3 Hours.

In-depth study of selected topics in operations management. May be repeated when topics vary.

OPMA 5399. GRADUATE OPERATIONS MANAGEMENT INTERNSHIP. 3 Hours.

Practical training in operations management. Analysis of theory applied to real life situations. Course counts as an elective and has a pass/fail grade. No credit will be given for previous experience or activities.

OPMA 5689. INDEPENDENT STUDIES IN MILITARY ACQUISITION. 6 Hours.

This course is reserved for military officers in the Training with Industry or I-GRAD programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA 5989. INDEPENDENT STUDIES IN MILITARY ACQUISITION. 9 Hours.

This course is reserved for military officers in the Training with Industry or I-Grade programs at UT Arlington. Studies consist of an acquisition practicum with training at an assigned agency and a required seminar at UT Arlington.

OPMA 6370. SEMINAR IN OPERATIONS MANAGEMENT. 3 Hours.

Doctoral seminar that is a comprehensive and integrative study of operations management that focuses on theoretical frameworks, applications of models, and methods of analysis. Prerequisite: Doctoral standing.

OPMA 6371. INTEGRATED OPERATIONS STRATEGY AND RESEARCH. 3 Hours.

Linkages between the manufacturing and strategy development functions. Research issues within production/operations management. Current techniques/designs for achieving effective research. Prerequisite: Doctoral standing and previous introductory course in operations management suggested.

OPMA 6380. RESEARCH IN OPERATIONS MANAGEMENT. 3 Hours.

Independent research under the supervision of a faculty member. May be repeated for credit. Prerequisite: Doctoral standing.

OPMA 6382. INDEPENDENT STUDIES IN OPERATIONS MANAGEMENT. 3 Hours.

Extensive analysis of an operations management topic.

OPMA 6392. SPECIAL TOPICS IN OPERATIONS MANAGEMENT. 3 Hours.

Advanced doctoral level topics in Operations Management. May be repeated when topics vary. Prerequisite: Doctoral standing.

Faculty

Mary Whiteside
Professor, Interim Chair

Kay-Yut Chen
Professor, Ph.D. Coordinator Statistics and Operations Management

Gregory Frazier
Professor

Revenor Baker
Professor

Mark Eakin
Professor

Radha Mahapatra
Professor, Ph.D. Coordinator Information Systems

Sridhar Nerur
Professor

M K Raja
Professor

Craig Slinkman
Professor

James Teng
Professor Emeritus

Alan Cannon
Associate Professor

Edmund Prater
Associate Professor

Riyaz Sikora
Associate Professor

Jingguo Wang
Associate Professor

Jie Zhang
Associate Professor

Gene Moo Lee
Assistant Professor

Carolyn Davis
Clinical Full Professor, Graduate Advisor

Randall Napier
Clinical Assistant Professor

Michel Whittenberg
Associate Professor in Practice

Karen Scott
Senior Lecturer