GRAD > MSIS
Management Science and Information Systems Courses
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
Offered in: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 associated web sites and practices, as well as middleware for wireless systems, multimedia, and conferencing. More Info
Offered in:MSIS 615 Business Programming +
Description:
This course is designed to provide students with essential programming skills in current business and analytical world. It exposes students to selected modern programming topics such as object-oriented programming (OOP), functional programming (FP), database integration, web APIs, and mobile/location based system programming. Students will learn how to program to solve analytical business problems. More Info
Offered in: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 outsourcing. More Info
Offered in: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
Offered in: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 Aided Software Engineering (CASE) tools for real-world problem-solving. More Info
Offered in: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
Offered in:MSIS 625 Cybersecurity Risk Management and Auditing +
Description:
This course is designed to introduce cybersecurity risk management and auditing concepts and practices. This course will cover the cybersecurity governance policies and practices, the risk management framework for cybersecurity threats to organizations, and the management of cybersecurity audit functions and procedures. The key objective of this course is to provide students with an understanding of the best practices in the cybersecurity risk management and control within contemporary organizations. More Info
Offered in:- TBA
MSIS 628 Cloud Computing and Security +
Description:
Cloud computing involves delivery of computing services over the Internet. The ability to access and scale computing resources based on business need is an advantage to organizations of various sizes. As businesses move toward cloud computing, it is also necessary to understand the security aspects of cloud computing. This course provides an overview of cloud computing and security. Topics covered include understanding types of cloud services and uses of cloud computing. After gaining an understanding of cloud computing, the potential threats to cloud resources (apps, data etc.) and protection mechanisms are highlighted. The application of policies, technologies and controls to protect cloud resources are addressed. These topics will be covered using hands-on exercises from leading cloud providers. More Info
Offered in:MSIS 629 Cybersecurity and Forensics +
Description:
This course provides students with how to conduct forensic investigation of digital devices. Students have hands-on-experience on cyber forensics with a virtual machine. The course introduces EnCase forensic software, which is widely received in cyber security industry and a court of law. Students will be prepared to manage organizational cyber security incidents. This course includes forensics tools, methods, and procedures used for investigation of computers, techniques of data recovery and evidence collection, protection of evidence, and cybercrime investigation techniques. It also includes analysis of forensic data and specialized diagnostic software used to retrieve data. More Info
Offered in: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
Offered in:MSIS 631 Operational Risk Management +
Description:
This course discusses the role of ''operational risk management'' in different aspect of business. The course starts with a session of definitions and preliminary discussions to show the big picture of the risk management discipline. The course then shows how different risks that an organization faces can be categorized according to their natures, probabilities and impacts. This is followed by describing how the probability of these risks can be reduced and how the impacts can be mitigated. The course finally focuses on how an organization can recover faster and more efficiently from a realized risk. Throughout this course, the emphasis is to show not only the importance of managing the inevitable risks as source of opportunity for organizations. This course is different form ''financial risk management'' since it does not discuss financial instruments to hedge against risks. Rather it tries to show how ''operational decisions'' can influence the probability and impacts of different types of risks. In addition, this class disc uses how to plan for recovery process. More Info
Offered in: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 prepare the data. More Info
Offered in: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
Offered in: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
Offered in: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 processes for identifying, evaluation, and acting on specific BI opportunities. More Info
Offered in: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
Offered in: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 building frameworks needed in analyzing useful patterns in databases through the application of practical methods. More Info
Offered in: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 applications to develop the understanding of appropriate approaches for gathering data and use data mining algorithms to build effective predictive models. More Info
Offered in: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
Offered in:- TBA
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
Offered in:MSIS 696 Independent Study +
Description:
Study of a particular area of this subject under the supervision of a faculty member. More Info
Offered in: