Academics

Course Catalog

GRAD > MSIS

Management Science and Information Systems

  • MSIS 610  Innovation in Information Technology Management

    Description:
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  • MSIS 611  Knowledge Management and Business Intelligence: Competing in the Knowledge Economy

    Description:
    Enterprises are investing in information technology in an effort to manage the information glut and to glean knowledge that can be leveraged for a competitive advantage. Two technologies in particular have shown good return on investment in some applications and are benefiting from a large concentration of research and development. The technologies are Business Intelligence (BI) and Knowledge Management (KM). Catering to the ever-increasing interests in these fields in all kinds of organizations, this course introduces graduate students to the concepts and practice of Knowledge Management and Business Intelligence. The focus of the course is on the issues that concern the design and execution of knowledge management strategies. We discuss popular underlying technologies with reference to    More Info

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  • MSIS 612  Information Technology Controls and Auditing

    Description:
    This course will enable the students to learn key concepts and methods for managing information technology controls and audits. It will examine the foundations of IT audits and control, discussing what IT auditing involves and the guidance provided by organizations in dealing with control and auditability issues. It then analyzes the process of audit and review, explores IT governance and control, and discusses the COBIT framework and steps that align IT decisions with business strategy. The course will survey project management processes that ensure that projects are controlled from inception through integration. It continues by addressing auditing IT acquisition and implementation, describing risks and controls as related to the life cycle of application systems. It highlights the purcha   More Info

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  • MSIS 613  Information Security, Privacy, and Regulatory Compliance

    Description:
    This course provides a broad overview of the threats to the security of information systems, the responsibilities and basic tools for information security, and the levels of training and expertise needed in organizations to reach and maintain a state of acceptable security. Topics include an introduction to confidentiality, integrity, and availability; authentication models and protection models; intrusion detection and response; operational security issues physical security issues; and personnel security. Additional topics include policy formation and enforcement; access controls and information flow; legal and social issues; identification and authentication in local and distributed system; classification and trust modeling; and risk assessment.   More Info

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  • MSIS 614  Business Data Communications & Computer Networks

    Description:
    This course develops a managerial level of technical knowledge and terminology for data, voice, image, and video communications and computer networks to effectively communicate with technical, operational and management personnel in telecommunications. Students are expected to understand the concepts, models, architectures, protocols, standards, and security for the design, implementation, and management of digital networks and apply data communications concepts to situations encountered in industry; learn general concepts and techniques of loc area networks (LAN), wireless local area networks (WLAN), and wide area networks (WAN); and understand the technology of the Internet and the regulatory environment. Other topics introduced include network operating systems, e-commerce and associate   More Info

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  • MSIS 615  Object Oriented Information Systems

    Description:
    Reviews systems development principles with an object orientation as they relate to the analysis and design of database applications, knowledge base systems, and object-oriented programming. Object-Oriented Programming languages is used to illustrate such characteristic properties of current object oriented programming techniques as encapsulation, inheritance, and polymorphism. Use Cases and UML are used for modeling business systems.   More Info

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  • MSIS 617  Management of the Supply Chain

    Description:
    This course examines how to create opportunities for revolutionizing manufacturing and logistics, with increased efficiencies in designing, operating, and managing supply chains. This course will present state-of-the-art models and practical tools for supply chain management and multi-plant coordination. Sessions focus on effective logistics strategies for companies operating in several countries and on the integration of supply chain components and their associated information workflows into a coordinated system to increase service levels and to reduce costs. The effective use of the Internet and developments in information systems and communication technologies are presented with real-world case studies that illustrate and analyze important concepts, such as strategic partnering and outs   More Info

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  • MSIS 618  Database Management

    Description:
    This course introduces the fundamental concepts necessary for the design, use, and implementation of database systems. The course stresses the fundamentals of database modeling and design, the languages and facilities provided by database management systems, and the techniques for implementing relational database systems. Upon completion of the course, the students will be able to use Entity-Relationship Diagrams as a tool to assist in logical database design, be able to design logical databases in third normal form, be able to identify current issues in the uses of database management systems, be able to identify issues in physical database implementation, and gain familiarity with industrial-strength database management systems.   More Info

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  • MSIS 619  Systems Analysis and Design

    Description:
    The basic premise of the course is the analysis and logical design of information systems development to support business process. Object-oriented software development is now mature. The technology and the acceptance of the object-oriented development have moved far faster in the marketplace than in the classroom. The theory has been tempered and enriches by experience and by experiments. From modeling to analysis and from design to programming, object-oriented methods and tools have proven to be winners. This course provides a firm grounding in the theory of object orientation and a balance between theory and practice; It covers Unified Modeling Language (UML), the de facto standard for object-oriented business systems analysis and design and offers hands-on experience by using Computer A   More Info

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  • MSIS 620  Customer Relations Managment and Technology

    Description:
    The course will provide students with insight into the dynamic discipline of Customer Relationship Management (CRM) and information technologies that can support CRM. Customer Relationship Management (CRM), is a strategic methodology currently being adopted by many organizations in an effort to enhance their competitive advantages. It recognizes customers as the core of the business and argues that a good relationship between the customer and the organization, if sustained over time, can lead to growing customer satisfaction and organization profitability. More and more businesses have adopted various information technologies to support and enhance CRM strategies. This course will review CRM theory, its impact on sales and marketing strategies, and the roles played by information technolog   More Info

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  • MSIS 621  Information Technology Services and Operations

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  • MSIS 623  Network and Mobile Forensics

    Description:
    This course deals with the collection, preservation, and analysis of network generated digital evidence such that this evidence can be successfully presented in a court of law (both civil and criminal). The course provides a comprehensive understanding of network forensic analysis principles as well as an introduction to mobile (i.e. Cell-phone/PDA) forensics. Within the context of forensics security network infrastructures, topologies, and protocols are introduced. Students will understand, learn, and experience the relationship between network forensic analysis and network security technologies.   More Info

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  • MSIS 624  Digital Forensics/Malware Analysis

    Description:
    This course provides an introduction to advanced digital forensics topics relating to malicious software (malware) and its analysis. Malware (virus, worms, rootkits, spam...) represents an increasing information security threat to computer systems and networks. Students will review software engineering design fundamentals and reverse engineering techniques utilized to conduct static and dynamic forensic analysis on computer systems and networks on multiple platforms (e.g.Windows, Linux..). Students will learn about the importance of forensic principles, legal considerations, digital evidence controls, and documentation of forensic procedures in the context of malware. In addition, students will study remediation measures for malware infection.   More Info

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  • MSIS 627  Business Computer Forensics and Incident Response

    Description:
    This course provides a strategic exploration into the prevention and response to intentional abuse of business information systems. This abuse frequently leads to diversion of resources, interruptions of service and corruption of data and develop into a variety of losses that can seriously impair an organization's performance. Students will be prepared to plan and manage organizational incident and forensics preparedness, including information security policies, information controls, information practices, incident response plans, forensic readiness, and preservation of evidence in the form of electronically stored information. The course includes experiments in the use of forensics tools for investigation of organizational policy violations.   More Info

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  • MSIS 630  Project & Change Management

    Description:
    This course provides an understanding on how to manage projects in the context of change. The course discusses concepts and techniques in project management such as planning, scheduling and implementation. It also provides students with an understanding of change management as relevant to project management in a dynamic organizational environment. The course also develops an understanding of the software tools employed for project management. It applies the concepts and software to hypothetical and real world cases.   More Info

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  • MSIS 631  Operational Risk Management

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  • MSIS 632  Introduction to Health Informatics

    Description:
    The course provides core definitions and concepts of systems in general and healthcare in particular. Examples of HIT systems from a variety of settings as well as functional aspects of interoperability within and between systems are examined. The concepts of usability, consistency, and reliability in regards to HIT systems and how each contributes to, or detracts from, effectiveness will be presented. An overview of the concepts of privacy, security, and confidentiality of protected health information (PHI) in relation to HIT systems will be presented. Patient-centered care will be defined and explained. The course is concluded with a focus upon future directions for HIT. New areas of research and development in HIT will be examined. Students will gain a foundational understanding of thes   More Info

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  • MSIS 633  Health Information Exchange: Management & Technology

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  • MSIS 634  Health Information Privacy & Security

    Description:
    This course addresses security, privacy and compliance issues as they impact health information systems. The course explores and evaluates the moral and ethical concepts of information security. Students will explore security issues including the importance of establishing a health care organization wide information security program, the ability to identify significant threats, learn about security standards, best practices, emerging issues and lessons learned from case studies. The overall goal of the course is the evaluation and implementation of security in the healthcare environment.   More Info

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  • MSIS 635  Health Information Analytics

    Description:
    This course covers concepts and tools that aid decision making in healthcare by applying data-driven, computer-based tools to healthcare problems. This course aims to introduce the emerging information technologies for management support through data analysis and business intelligence systems. The course helps students learn the importance of proper formatting of data in order to obtain high quality results; study the need for management support and business intelligence requirements beyond typical transactional information systems; identify appropriate tools and techniques required for implementation of business intelligence systems applied to the health care industry.   More Info

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  • MSIS 636  Healthcare Operations Management

    Description:
    Operations Management studies the design and management of the processes that transform inputs into finished goods or services. Operations are one of the primary functions of any organization. This course focuses on ways and means to improve healthcare operations, with specific focus on the use of analytical methods and techniques to improve healthcare processes. Topics include reducing patient wait times, measuring productivity, streamlining process flows, tracking outcomes and performance metrics, capacity management, healthcare supply chain and generally improving health management processes. The level of analysis varies considerably from operations strategy to daily control of business processes. The objective of this course is to assist students in building the skills necessary to par   More Info

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  • MSIS 642  Multivariate Statistics and Regression Analysis

    Description:
    The goal of this course is to develop statistical data analysis skills in business analytics applications. The content of this course covers multivariate statistics which analyzes problems in which multiple variables are simultaneously present and various regression applications for business, such as simple linear regression, multiple regression, and logistic regression etc., and also how to solve various issues that we might face during those applications. This course will be the foundation for applied quantitative research for business analysts and business researchers. Our main goal is to identify the signal or key features of the data. The course will cover the major techniques in this field. The focus will be on practical issues such as selecting the appropriate approach and how to pr   More Info

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  • MSIS 643  Decision and risk analysis

    Description:
    Decision and risk analysis combine elements of probability, economics, logic, psychology and domain knowledge to characterize and analyze complex decision problems. Practitioners in this discipline apply mathematical and computational decision support tools grounded and, methods for populating models. A large number of applied models are available for different real-world problems or problem classes. Students will gain familiarity with the basic theory and methods from classic and recent texts, and will examine some real world applications from recent journal publications. There will be particular focus on connections between the approaches covered and developments in information systems and in analytics. The course will involve portions of problem sets and projects.   More Info

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  • MSIS 656  Information Storage Management

    Description:
    This course provides a comprehensive overview of network-based storage technology and information storage infrastructure. Major topics include the storage architectures, service features, benefits of Intelligent Storage Systems, and Storage Virtualization. Networked storage technologies include fiber channel (FC), based Storage Area Network (SAN), Network Attached Storage (NAS), and IP-SAN. Advanced storage technologies on Content Addressed Storage (CAS), information security, and networked storage virtualization are also discussed.   More Info

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  • MSIS 670  Enterprise Business Intelligence

    Description:
    This course is designed to accomplish the following goals: (1) explain what business intelligence can offer to organizations; (2) demonstrate how business intelligence is used in the real world; and (3) provide an action plan for identifying and acting on the BI opportunities that exist in our organization. The first part of the course covers "business Intelligence Foundations." This part defines business intelligence and describes its role in the effective management of an organization. It covers the business, technical, and human components of BI and sets the stage for case studies in part two. Part two, "Business Intelligence Case Studies" presents five real world BI successes to illustrate the application of BI. Part three, "A business Intelligence Roadmap" describes a framework and pr   More Info

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  • MSIS 671  Enterprise Data Warehousing for Business Intelligence

    Description:
    This course provides a comprehensive overview of data warehousing together with an in-depth treatment of planning, design, deployment, and ongoing maintenance issues. Students will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and information delivery. Topics include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architectures, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. Includes hands-on exercises in commercial data warehousing modeling and implementation tools and perform case analysis.   More Info

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  • MSIS 672  Enterprise Data Mining and Predictive Analytics

    Description:
    This course provides an introduction to data mining by exposing the theory behind the analytical concepts. It discusses data mining techniques and their use in strategic business decision making. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, association, classification, prediction, time series forecasting, clustering, induction techniques, neural networks, and others. During the semester-long course, students work in teams on solving a business problem of their choice, using data mining tools and applying them to data (e.g., SPSS modeler). Data Mining provides a solution to organizations requests for emerging operational patterns that may add value to their business. The course includes the development of concepts used for b   More Info

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  • MSIS 680  Advanced Data Mining

    Description:
    As organizations have become more and more readily able to collect massive quantities of data, they are increasingly recognizing data as one of their most valuable assets. Many organizations consider their ability to acquire data, utilize data mining, and build predictive models as key core competencies, and many are realizing benefits from fact-based decision-making. For those ends, data mining is used to find patterns and relationships that lie within data, and to build predictive models for fact-based decision-making. This course covers data mining algorithms in depth, including techniques for classification, association, and clustering. It also covers techniques for mining text data, such as Latent Semantic Analysis and Latent Dirichlet Allocation. This course focuses real world applic   More Info

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  • MSIS 682  Linear Programming

    Description:
    This course teaches linear optimization techniques that are powerful and important tools in analytics area. Linear optimization can be used for mining and analytics of complex systems in business world, which can greatly impact the decision making process in this area. This course primarily focuses on linear programming techniques and emphasis on their applications in solving real-world practical problems. It focuses on effective formulation techniques, basic mathematical and algorithmic concepts, and software solution of large-scale problems arising in business analytics applications.   More Info

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  • MSIS 683  Business Analytics Project

    Description:
    Students will demonstrate skills and integration of knowledge where they will work on a semester-long project, particular to their specialization. Particularly, students will synthesize and integrate knowledge acquired in coursework and other learning experiences and to apply theory and principles in a situation that approximates some aspect of professional practice. It will be used as one means by which faculty judge whether the student has mastered the body of business analytics and can demonstrate proficiency in the required competencies.   More Info

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  • MSIS 685  Introduction to Big Data Analytics

    Description:
    Course covers a new and increasingly popular method of managing data using large scale data analysis. The advent of the internet, Social Media and subsequently machine generated data has enabled social scientists to have access to massive datasets about the behavior of millions (or billions) of people or objects. However, collecting, storing, and analyzing this data isn't straightforward and requires specific skills. The goal of this course is to help students gain the skills required for this type of research while exposing them to tools and big data research streams. The course will help students understand both the challenges and the opportunities and assist them to appreciate Big Data applications.   More Info

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  • MSIS 696  Independent Study

    Description:
    Study of a particular area of this subject under the supervision of a faculty member.   More Info

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