[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course provides students with intensive writing instruction in the basic skills of expository and argumentative writing. Supplemental instruction is provided in the form of a tutorial component. Each Fall and Spring semester, a special section of ENG 100 is offered for students whose native language is not English. ENG 100 and ENG 101 cannot both be counted toward fulfillment of the first year writing requirement. ENG 100 requires class contact time of 4 credit hours and will be both applied towards financial aid and term billing as 4 credits. Only 3 credit hours count toward graduation requirements and will appear on a student schedule. The course requires a fee for supplemental writing center tutoring.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Finding Your Voice

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course instructs students in the basic skills of expository and argumentative writing. Each Fall and Spring semester, a special section of ENG 101 is offered for students whose native language is not English. ENG 101 and ENG 100 cannot both be counted toward fulfillment of the first-year writing requirement. Supplemental instruction is available for this course by taking ENG 105.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Finding Your Voice

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam, or completion of ENG 100 or ENG 101. ENG 102 continues to cultivate and hone the skills acquired in ENG 100 or ENG 101, but also incorporates research and information literacy skills. Each Fall and Spring semester, a special section of ENG 102 is offered for students whose native language is not English. Supplemental instruction is available for this course by taking ENG 106.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Research & Professional Writing

[3 credit(s)]

Prerequisite: a grade of SC or better in MTH 087 or suitable placement-exam score. The topics for this course include equations of lines, graphs of functions, word problems, polynomial models, and mathematical applications. The course shows how to use exponential and logarithmic functions to study mathematical finance applications such as simple interest, discount, compound interest, present and future values, annuities, and amortization. The course also covers systems of linear equations, and matrices.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Quantitative & Formal Reasoning

[3 credit(s)]

Prerequisite: MTH 148 or its equivalent with a grade of “C” or better. Application of statistical methods to business problems; topics include descriptive statistics (tabular, graphical, and numerical measures), elementary probability, discrete and continuous random variables and probability distributions (normal, standard normal and ‘t’ distributions); interval estimation and hypothesis testing about a single population mean and proportion, and simple linear regression.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Quantitative & Formal Reasoning

[3 credit(s)]

To develop a good working knowledge of Microsoft Excel, including the use of advanced functions and business intelligence tools to manage and analyze data, conduct what-if analyses, and design and create dashboards to support decision making. The course emphasizes hands-on experience to ensure the students acquire the skills that they can readily use in their workplace.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 203 or its equivalent with a grade of “C” or better. Presents changing role of information technology in organizations. Discusses role of IT in achieving business objectives. Contents include Enterprise Resource Planning Systems. Customer Relationship Management Systems, Business Intelligence, e-commerce, and cybersecurity.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: A grade of C or higher in BUS 201/OSM 201 or equivalent. Business analytics is an essential skill for modern business managers where various types of data are being collected in large volumes rapidly. The ability to compile and analyze data using the appropriate tools is important for data-driven decision-making. This course introduces students to the growing field of big, structured, and unstructured data analysis to answer critical business questions. Analytics includes a range of topics, including building standard summary reports of the data and applying quantitative and statistical methods for prediction, forecasting, classification, and optimization using historical data. MS Excel will be the primary software tool to facilitate the development and understanding of these analytical models.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Quantitative & Formal Reasoning

[3 credit(s)]

Introduction to concepts in finance (risk, return, liquidity, horizon, inflation, and taxation) applied to personal financial planning; the impact of career choice on discretionary income; financial statements and budgeting; how to use credit appropriately; insurance (property, liability, health, and life) fundamentals; passive investment in stocks, bonds, mutual funds, real assets, etc. NOTE: BBA students may take this course only as a free elective.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: Completion of 15 credit hours and ENG 100/ENG 101 with a final grade of C or higher. For BBA majors only: Completion of course BUS 151 World of Business or concurrent enrollment of course BUS 151. Fundamentals of accounting theory, concepts, and practice; includes the basic structure of accounting and accounting as it is used as a basis for business using the recording of changes in financial conditions, measuring business income; introduces the concept of accounting systems and control.

Semesters Offered: Every Fall and Spring

[4 credit(s)]

Prerequisite: IST 203. Introduces the fundamental concepts of object-oriented programming using a contemporary OO language. Topics include classes and objects, data types, control structures, methods, arrays, and strings; the mechanics of running, testing, and debugging programs; definition and use of user-defined classes.

Semesters Offered: Every Fall and Spring

[4 credit(s)]

Prerequisites: IST 211. This course is a continuation of IST 211 and is intended to prepare students as advanced end users and developers capable of designing, developing and implementing superior solutions based on a contemporary Object Oriented Programming language. On completion of the course, students will be proficient in designing, coding, debugging, testing, and distributing applications. Coding of applications will include detailed descriptions of algorithms to perform common programming tasks such as sorting, searching, and hashing. Efficiency issues are also discussed. Students are exposed to database programming techniques using Data Object Model.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 305. Introduction to the tools and techniques of systems analysis including requirements determination, use case analysis, process modeling. Object-oriented analysis and design will be incorporated through the use of the Unified Modeling Language and the Rational Unified Process.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 211 and IST 305. This course introduces database concepts. It focuses on the construction, management, and utilization of relational databases. The student is exposed to an extensive coverage of SQL (Structured Query Language) for basic and advanced queries. Examples of enterprise-level production systems are used for stand-alone and embedded SQL-based applications.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 211, IST 305. Basic knowledge of data communications and networking requirements, including appropriate technologies. Emphasis on analysis and design of networking applications in organizations. Management of telecommunications networks, cost-benefit analysis, and evaluation of connectivity options are also covered. Students learn to evaluate, select, and implement different communications options within an organization. Contents: telecommunication devices, media systems, network hardware and software: network configurations; network applications; acquisition of network resources; distributed vs. centralized systems; architectures, topologies and protocols; installation and operations of bridges, routers and gateways; network administration; performance analysis; privacy, security, reliability; Installation and configuration of LAN and WAN; Internet and intranet.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 305. An introduction to data science utilizing Python and R programming languages. This course introduces the basics of Python, and an introduction to R, including conditional execution and iteration as control structures, and strings and lists as data structures. The course emphasizes hands-on experience to ensure students acquire the skills that can readily be used in the workplace.

Semesters Offered: Every Spring

[3 credit(s)]

Prerequisite: IST 321. Focuses on models used in a software development project, including tools that improve project productivity. Topics include concepts of project management, task scheduling, cost estimation models, risk assessment and software maturity framework. Students will be using tools and cases to gain depth in software project management principles and practice.

Semesters Offered: Every Fall and Spring

[4 credit(s)]

Prerequisites: Completion of all 200- and 300- level courses from the Business common body of knowledge, IST 331 and IST 341. In this course, students will be expected to design and implement a large group project. The project will be based on knowledge and skills acquired throughout the student’s tenure as an IST major. Presentations and accompanying reports are required. Upon successful completion of this course, a student will have learned to work effectively on a large project within a group setting and will have gained experience in reporting on the project during its various stages of development. In doing so, the student will also gain understanding, through experience, of the important phases of project development: planning, analysis, design, implementation and testing. The project will be a substantial addition to the student’s portfolio.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 331. Introduces data mining methods, tools and techniques. Topics include acquiring, parsing, filtering, mining, representing, refining, and interacting with data. It covers data mining theory and algorithms including linear regression, logistic regression, rule induction algorithm, decision trees, kNN, Naive Bayse, clustering. In addition to discriminative models such as Neural Network and Support-Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Boosting, the course will also introduce generative models such as Bayesian Network. It also covers the choice of mining algorithms and model selection for applications. Hands-on experience include the design and implementation, and explorations of various data mining and predictive tools.

[3 credit(s)]

Prerequisite: IST 331. This course is for students interested in the IT systems and infrastructures management. The course covers the basic principles of systems operations and management. Topics include basic computing platforms, operations systems, basic networking, data storage and backup. The course will also include monitoring, event management, problem management and change management. Introduction to availability, performance and security will be covered at a very high level.

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course provides students with intensive writing instruction in the basic skills of expository and argumentative writing. Supplemental instruction is provided in the form of a tutorial component. Each Fall and Spring semester, a special section of ENG 100 is offered for students whose native language is not English. ENG 100 and ENG 101 cannot both be counted toward fulfillment of the first year writing requirement. ENG 100 requires class contact time of 4 credit hours and will be both applied towards financial aid and term billing as 4 credits. Only 3 credit hours count toward graduation requirements and will appear on a student schedule. The course requires a fee for supplemental writing center tutoring.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Finding Your Voice

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam. This course instructs students in the basic skills of expository and argumentative writing. Each Fall and Spring semester, a special section of ENG 101 is offered for students whose native language is not English. ENG 101 and ENG 100 cannot both be counted toward fulfillment of the first-year writing requirement. Supplemental instruction is available for this course by taking ENG 105.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Finding Your Voice

[3 credit(s)]

Prerequisite: Placement by ACT/SAT scores or English Placement Exam, or completion of ENG 100 or ENG 101. ENG 102 continues to cultivate and hone the skills acquired in ENG 100 or ENG 101, but also incorporates research and information literacy skills. Each Fall and Spring semester, a special section of ENG 102 is offered for students whose native language is not English. Supplemental instruction is available for this course by taking ENG 106.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Research & Professional Writing

[3 credit(s)]

Prerequisite: a grade of SC or better in MTH 087 or suitable placement-exam score. The topics for this course include equations of lines, graphs of functions, word problems, polynomial models, and mathematical applications. The course shows how to use exponential and logarithmic functions to study mathematical finance applications such as simple interest, discount, compound interest, present and future values, annuities, and amortization. The course also covers systems of linear equations, and matrices.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Quantitative & Formal Reasoning

[3 credit(s)]

Prerequisite: Completion of 15 credit hours and ENG 100/ENG 101 with a final grade of C or higher. For BBA majors only: Completion of course BUS 151 World of Business or concurrent enrollment of course BUS 151. Fundamentals of accounting theory, concepts, and practice; includes the basic structure of accounting and accounting as it is used as a basis for business using the recording of changes in financial conditions, measuring business income; introduces the concept of accounting systems and control.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Introduces students to the global environment of modern business, the structure of business enterprises, entrepreneurship, innovation and the creation of capital, and to the management, marketing, financial analysis, and strategies that create successful organizations. Introduces students to the study of business and to the challenges and rewards of professional careers in this field.

[3 credit(s)]

Prerequisite: MTH 148 or its equivalent with a grade of “C” or better. Application of statistical methods to business problems; topics include descriptive statistics (tabular, graphical, and numerical measures), elementary probability, discrete and continuous random variables and probability distributions (normal, standard normal and ‘t’ distributions); interval estimation and hypothesis testing about a single population mean and proportion, and simple linear regression.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Quantitative & Formal Reasoning

[3 credit(s)]

Introductory course in macroeconomic theory: national accounting, levels of output and employment, money supply, government monetary and foreign exchange, and the international monetary system.

Semesters Offered: Every Fall and Spring

Core Curriculum Category: Society & Human Behavior

[3 credit(s)]

To develop a good working knowledge of Microsoft Excel, including the use of advanced functions and business intelligence tools to manage and analyze data, conduct what-if analyses, and design and create dashboards to support decision making. The course emphasizes hands-on experience to ensure the students acquire the skills that they can readily use in their workplace.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: BUS 201 or STA 145 or MTH/STA 147 or equivalent. Development of statistical theory and its application to econometric models, including simple, multiple, and nonlinear regression and correlation; derivations of some important sampling distributions and their application in economics and business.

Semesters Offered: Every Fall and Spring

[4 credit(s)]

Prerequisite: IST 203. Introduces the fundamental concepts of object-oriented programming using a contemporary OO language. Topics include classes and objects, data types, control structures, methods, arrays, and strings; the mechanics of running, testing, and debugging programs; definition and use of user-defined classes.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 211 and IST 305. This course introduces database concepts. It focuses on the construction, management, and utilization of relational databases. The student is exposed to an extensive coverage of SQL (Structured Query Language) for basic and advanced queries. Examples of enterprise-level production systems are used for stand-alone and embedded SQL-based applications.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 305. An introduction to data science utilizing Python and R programming languages. This course introduces the basics of Python, and an introduction to R, including conditional execution and iteration as control structures, and strings and lists as data structures. The course emphasizes hands-on experience to ensure students acquire the skills that can readily be used in the workplace.

Semesters Offered: Every Spring

[4 credit(s)]

Prerequisites: Completion of all 200- and 300- level courses from the Business common body of knowledge, IST 331 and IST 341. In this course, students will be expected to design and implement a large group project. The project will be based on knowledge and skills acquired throughout the student’s tenure as an IST major. Presentations and accompanying reports are required. Upon successful completion of this course, a student will have learned to work effectively on a large project within a group setting and will have gained experience in reporting on the project during its various stages of development. In doing so, the student will also gain understanding, through experience, of the important phases of project development: planning, analysis, design, implementation and testing. The project will be a substantial addition to the student’s portfolio.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisite: IST 331. Introduces data mining methods, tools and techniques. Topics include acquiring, parsing, filtering, mining, representing, refining, and interacting with data. It covers data mining theory and algorithms including linear regression, logistic regression, rule induction algorithm, decision trees, kNN, Naive Bayse, clustering. In addition to discriminative models such as Neural Network and Support-Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Boosting, the course will also introduce generative models such as Bayesian Network. It also covers the choice of mining algorithms and model selection for applications. Hands-on experience include the design and implementation, and explorations of various data mining and predictive tools.

[3 credit(s)]

Prerequisite: IST 331. This course is for students interested in the IT systems and infrastructures management. The course covers the basic principles of systems operations and management. Topics include basic computing platforms, operations systems, basic networking, data storage and backup. The course will also include monitoring, event management, problem management and change management. Introduction to availability, performance and security will be covered at a very high level.

[3 credit(s)]

Prerequisite: ECN 322. An introduction to the use of business intelligence and data visualization in organizations, with emphasis on how information is gathered, stored, analyzed, and used. The impacts of data-driven decisions are explored.

Semesters Offered: Every Fall

[1 credit(s)]

Prerequisites: Senior standing and completion of all Core Information Systems requirements. To develop a good working knowledge of cybersecurity best practices and techniques. Tools utilized will include attack prevention, data security, and data-driven analytical solutions to business problems.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

Prerequisites: Approval of the IS department. Acceptance into the Cooperative Education Program of the IS department, a minimum of Sophomore standing. Work with a designated faculty advisor to establish objectives for the co-op period, review progress during the work period and review results of the experience against objectives. A student final report is required. Can be taken only once.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

This course aims to (i) discuss Health Information Technology (HIT) applications found in hospitals and clinics, (ii) provide an understanding of the functions of both enterprise and departmental HIT applications, and (iii) understand the essential interoperability level and related issues in order to improve the overall quality, safety and efficiency of the health delivery system in general and patient care in particular.  This course will also review (i) HIT standards and code sets, (ii) concept of Electronic Health Records (EHR’s), (iii) healthcare related clinical and business processes supported by the applications, (iv) overall system flow for a Healthcare Organization (HCO), and (v) specific HIT application functions. Course work will include a review of some of the integrated HIT solutions available in the market. This knowledge will enable students to understand HIT related systems design and support HIT initiatives of a hospital or ambulatory practice.

[3 credit(s)]

Prerequisite: IST 305. This course provides students with the theoretical and practical background to understand the complex issues surrounding the creation, transfer and use of information and knowledge within and between organizations. Students gain an appreciation of the organizational, psychological, cognitive, social and technical issues associated with knowledge management.

Semesters Offered: Every Fall

[3 credit(s)]

Prerequisites: IST 203 and Junior Standing. Introduces decision support systems concepts, methodologies, decision analysis, modeling, optimization and integration of intelligent systems. Provides hands-on instructions for building spreadsheet-based Decision Support Systems (DDS). Students learn analytical technologies used to create dashboards and scorecards, data, text and Web mining methods for trend and artificial intelligence techniques. Illustrates various intelligent techniques of business analytics through case studies from management, business administration and operations research.

[3 credit(s)]

Prerequisites: IST 341. Advanced knowledge of data communications and networking as they apply to computer security. Identifying and analyzing the various types of security risks. Investigating the tools used to counteract security risks. Developing security and business continuity plans based on the security risks and tools incorporated. Upon successful completion of this course, a student will be able to analyze, design, implement, and administrate an organization’s network security system.

Semesters Offered: Every Spring

[3 credit(s)]

Prerequisite: IST 211. IST 450 introduces students to web design for both client-side and server-side programming. The course covers planning, designing and creating effective web pages for all types of computing devices including desktops, laptops, tablets, and smart phones. The students will be equipped with the following web design knowledge and skills in this course: HTML 5, CSS 3, Bootstrap, Java Script, jQuery, PHP with MySQL or ASP.NET with SQLServer, UI/UX, Search Engine Optimization, web services and WordPress.

Semesters Offered: Every Fall and Spring

[3 credit(s)]

This course will cover HIT organizational structures, policies and procedures to successfully implement and support hospital systems in support of the Health Care Organizations’ objectives. The student will understand the basics of HIT application software planning, selection and implementation. Case studies will be analyzed to reinforce learning objectives. Analysis of policies and procedures required to address data and physical security, confidentiality of Protected Health Information, business continuity ad operations management will be threaded throughout the course. The roll of the Department of Health and Human Services mandates affecting HIT requirements will be reviewed. Specifically, the impact of HIPAA, and the American recovery Act on IT requirements to achieve Meaningful Use of Electronic Medical Records (EMRs) will be analyzed.

[3 credit(s)]

Prerequisite: IST 203. This course aims to (i) provide an introduction to the key concepts related to business analysis (ii) help students gain in depth knowledge of various techniques used in business analysis, (iii) develop skills required to complete various business analysis tasks, and (iv) illustrate various business analysis practices employed in the industry. This course does not require any technical expertise and will not teach any specific computer programming.

Semesters Offered: Every Spring

[3 credit(s)]

Prerequisites: IST 305. This course aims to provide an overall view of Business Processes. A business process can be thought of as a series of steps taken by a business to get activities done. Students, after completing this course will understand how to design business processes and optimize such designs. Simulation tools will be used to chart business processes.

[3 credit(s)] 

Prerequisite: IST 305. IT Governance is a collection of processes that define the management, planning, review, and performance reporting that establishes control over IT investment, projects, and delivery of services. IT Governance “helps ensure that IT supports business goals, optimizes business investment in IT, and appropriately manages IT-related risks and opportunities” (COBIT). This includes creating appropriate decision rights and accountability frameworks. This course explores these processes to better understand how organizations can achieve higher levels of IT effectives by developing their governance processes. Material covered includes best practices from existing industry standards such as COBIT, ITIL, and ISO.

Semesters Offered: Every Spring

[1-3 credit(s)]

Variable topics and issues related to information technologies are covered with an emphasis on new developments and emerging trends.

[1-4 credit(s)]

Senior standing, approval of sponsoring professor and department chairperson, written proposal approval before registration. Flexible content/structure course to enable qualified students to pursue special areas of interest and competency.

Semesters Offered: Every Fall and Spring

[1 credit(s)]

Prerequisite: Junior standing and permission of an IS Department faculty advisor. Work experience in a professional environment. The work performed must extend the academic curriculum and provide a meaningful learning experience in the student’s area of interest. Term paper required. This course may only be taken once.

Semesters Offered: Every Fall and Spring

[4 credit(s)]

Prerequisite: Must be admitted as a graduate student to be eligible for this course. This is an introduction to computer programming for Business and Information Science students. No previous experience and knowledge of programming is required. Visual Basic .Net is used to teach solid programming concepts and practices. The course is divided into two parts: (a) An introduction to foundations in programming, and (b) Advanced development of business solutions using the OOP approach. The first part of the course teaches the elementary building blocks of programming; variables, arrays, user-defined types, flow-control, and decision making. The goal of the second of this course is to provide students with a comprehensive understanding of object-oriented system development. Though the main focus of the course is on the VB. NET programming language and its use in OO system development, it also provides in-depth introductions to ASP.NET and HTML programming languages.

[3 credit(s)]

Provides an understanding and appreciation for the role of information technology and how this technology is leading changes in an organization. Discusses the competitive role of IT and how it affects the strategy and operation of modern business organizations nationally and internationally. Enables students to lead technology-enabled organizational change involving collaboration technologies

[3 credit(s)]

Prerequisite: IST 211. Introduction to the tools and techniques of systems analysis including requirements determination, use case analysis, process modeling. Object-oriented analysis and design will be incorporated through the use of the Unified Modeling Language and the Rational Unified Process. 

[3 credit(s)]

Prerequisite: IST 211. This course introduces database concepts. It focuses on the construction, management, and utilization of relational databases. The student is exposed to an extensive coverage of SQL (Structured Query Language) for basic and advanced queries. Examples of enterprise-level production systems are used for stand-alone and embedded SQL-based applications.

[3 credit(s)]

Prerequisite: IST 211. Basic knowledge of data communications and networking requirements, including appropriate technologies. Emphasis on analysis and design of networking applications in organizations. Management of telecommunications networks, cost-benefits analysis, and evaluation of connectivity options are also covered. Students learn to evaluate, select, and implement different communications options within an organization. Contents: telecommunication devices, media systems, network hardware and software: network configurations; topologies and protocols; installation and operations of bridges, routers and gateways; network administration; performance analysis; privacy, security, reliability; Installation and configuration of LAN and WAN; Internet and intranet.

[3 credit(s)]

Graduate students in other programs are permitted to take the course, MIS students should complete the preparatory programs before taking the course. This course is designed to teach the students the nature and scope of Project Management (PM). The students will learn the planning process of a project as well as managerial challenges associated with the design, control and scheduling of projects. The course discusses techniques and decision tools used in solving project management issues as well as strategies for successfully managing Information Technology Projects. Project management software will be used throughout the course.

[3 credit(s)]

Prerequisite: Completion of the MIS preparatory program or permission from the department. Introduction to current research topics in information systems. Explores how research is done in the areas. State-of-the-art industrial practices are also examined. Students make presentations on current research topics in information systems based on surveys of recent conference and journal articles. Must be taken the first semester after completion of the preparatory program.

[3 credit(s)]

Prerequisites: Completion of the MIS preparatory program or permission from the department. This course in systems thinking assesses IS/IT systems by examining the entire system, including human, community, resource, environmental, and social processes, to get a holistic view into how organizations and individuals often look at the world, assess problems, and invent solutions. Because the way systems are designed determines outcomes, the course also looks at system dynamics and the intended and unintended consequences of various actions. Using nonlinear thinking to complement typical linear way of thinking, students will learn, step by step, the standard methods of system dynamics governed by levels/rates or stocks/flows processes. They will conceptualize and build a system dynamics model, from scratch, conduct appropriate model analysis, and develop model-based recommendations. Based on hands-on experience in computer simulation and gaming, students will learn to perform model formulation and validation in diverse settings.

[3 credit(s)]

Prerequisite: IST 603 or equivalent. Introduces advanced systems principles and concepts; logical analysis, design and modeling of software systems with emphasis on object oriented systems; use of Unified Modeling Language, the Rational Unified Process, and CRC cards; use of CASE tools, with emphasis on use cases and use case diagrams, class diagrams, sequence diagrams, collaboration diagrams, and state diagrams.

[3 credit(s)]

Prerequisite: IST 504 or equivalent. Detailed study of modern relational database systems and non-relational database systems for Enterprise Business Analytics. First, the course studies core components of relational database systems with the query processing concept and execution techniques, query optimization strategies of modern relational databases. Then the course advances with the study of semi-structured databases and non-structured data processing. The course continues with the study of the advanced features of modern Business Intelligence systems with Parallel Data Warehouse (PDW) and data mining algorithms. Finally, the course will explore current database industry research papers on big data processing and cloud computing.

[3 credit(s)]

Prerequisite: IST 506 or equivalent. Advanced knowledge of data communications and networking as they apply to computer security. Identifying and analyzing the various types of security risks. Investigating the tools used to counteract security risks. Developing security and business continuity plans based on the security risks and tools incorporated.

[3 credit(s)]

Prerequisite: IST 502 or equivalent. The concept of object-oriented methodologies and programming are presented through Java and/or the C++ programming languages. Language syntax, error handling, object creation/destruction, and memory allocation strategies are explored. Java GUI components, event handling, and web-based programming are introduced.

[3 credit(s)]

Business analysis involves identifying business needs and determining system solutions to business problems. Typically, the solutions include a systems development component but may also consist of process improvement, strategic planning and policy development. Major areas of study include: Enterprise Analysis, Requirements Planning and Management. Requirements Elicitation, Requirements Analysis and Documentation, Solution Assessment and Validation. This course aims to (i) introduce advanced concepts related to business analysis, (ii) help students gain in depth knowledge of various techniques used in business analysis, (iii) develop skills required to complete various business analysis tasks, (iv) illustrate various business analysis practices employed in the industry (v) understand the role of change management and communication in business analysis. This course does not require any technical expertise and will not teach any specific computer programming.

[3 credit(s)]

Graduate students in other programs are permitted to take this course, MIS students should complete the preparatory programs before taking the course. Study of areas in which computers can be used as tools in management decision making and evaluation of alternatives. Functional components of a Decision Support System (DSS). Decision models and end-user modeling. User-DSS interfaces. Planning and developing a DSS. Concepts of knowledge-based systems and expert systems. Components of expert systems. Knowledge acquisition. Expert-systems development with a commercial shell. Manipulation of quantified uncertainty factors. Derivation of knowledge from data. Significance of groupware and document-management systems to decision making.

[3 credit(s)]

Must be admitted as a graduate student to be eligible for this course. This subject will expose students to models and methods for aligning a business strategy with appropriate investment in information technology infrastructure and services. A variety of information and technical architectures will be explored together with how they relate to different styles of business strategy. In particular, the focus will include architectures that will enable flexible collaboration with business partners so that the business value can be realized from the firm’s IT investment.

[3 credit(s)]

Prerequisites: IST 600 and IST 601. Provides an understanding of evolving Internet technologies and explores the business implications of these developments. Focus is on the fit between technology and strategy. Provides tools, skills, and an understanding of technology, business concepts, and issues that surround the emergence of electronic commerce on the Internet. In addition to acquiring basic skills for navigating the Internet and creating a personal electronic presence on the World Wide Web, the student develops an understanding of the current practices and opportunities in electronic publishing, electronic shopping, electronic distribution, and electronic collaboration.

[3 credit(s)]

Prerequisites: IST 636/736 or CIS 675. Covers advanced topics in information including disaster recovery and business continuity plans, digital forensics, and mobile device security.

[3 credit(s)]

Prerequisite: Completion of the MIS preparatory program or permission from the department. This course introduces the basic concepts of business analytics, data warehousing, and data mining. Topics discussed include: the need for business analytics in today’s dynamic business environments, data warehousing strategies, technologies, designs, and architectures (e.g., star schemas), data mining techniques and algorithms (e.g., clustering, classification, predictive modeling, decision trees, neural networks, and visualization). Sample applications of these technologies and techniques will be discussed. Textbook will be supplemented with current articles on data mining technology and applications.

[3 credit(s)]

Prerequisite: None. This course introduces data science analytics tools and techniques for geographic data (e.g., maps, geosensors, satellite and GPS location data). A comprehensive coverage of the issues with handling space-time data from the perspective of DBMS, GIS, Data Analytics, and Big Data Systems. Students will learn spatial database concepts, algorithm, statistical tools to model and analyze problems by hands-on approach using programming languages. Cover spatial and temporal data representation, exploratory analysis, and prediction models. Also, introduces software to perform geographic query, analysis, visualization and custom application development for decision support. Emphasizes issues related to spatial data mining, integration of machine learning techniques in spatio-temporal analysis and prediction.

[3 credit(s)]

Prerequisite: IST 504 or equivalent. This course addresses the increasing need to integrate a broad range of enterprise processes, information systems functions, and hardware and software technologies. Topics covered include: the need, motivation, and business drivers for integration-in any of its forms: processes, functions, or technologies; challenges and obstacles related to integration and implementation of comprehensive enterprise systems within and across organizations; planning, initiating, selecting, realizing, supporting, and maintaining an enterprise system. Change management issues and team dynamics relating to enterprise systems will also be discussed. The course will also touch on specific integration models and technologies.

[3 credit(s)]

Prerequisites: Completion of the MIS preparatory program or permission from the department. IT Governance is a collection of processes that define the management, planning, review, and performance reporting that establishes control over IT investment, projects, and delivery of services. IT Governance “helps ensure that IT supports business goals, optimizes business investment in IT, and appropriately manages IT-related risks and opportunities” (COBIT). This includes creating appropriate decision rights and accountability frameworks. This course explores these processes to better understand how organizations can achieve higher levels of IT effectiveness by developing their governance processes. Material covered includes best practices from existing industry standards such as COBIT, ITIL, and ISO.

[3 credit(s)]

Prerequisite: IST 636. The course examines the interconnectedness of modern life through an exploration of fundamental questions about how our social, economic, and technological worlds are connected. Students explore game theory, the structure of the Internet, social contagion, the spread of social power and popularity, network models of markets, online auctions, and information cascades.