Management Information Systems

Classes

MIS 500: Innovating with Information Systems

Department
Management Information Systems
Credits 3.0
This course focuses on information technology and innovation. Topics covered are information technology and organizations, information technology and individuals (privacy, ethics, job security, job changes), information technology and information security, information technology within the organization (technology introduction, and implementation, and data analytics for competitive analysis), business process engineering and information technology between organizations (electronic data interchange and electronic commerce). This course provides the knowledge and skills to utilize existing and emerging information technology innovatively to create business opportunities.

MIS 502: Data Management for Analytics

Department
Management Information Systems
Credits 3.0
This course develops the skills business students need for handling data. It focuses on student skills in (1) cleaning and preparing data for analysis, (2) writing SQL queries to access and manipulate data, and (3) ethical uses of data and data privacy issues. It also covers the types of data typically found in organizations, e.g., employee, customer, product, marketing, operations, and financial data.

MIS 510: Business Application of Blockchain Tech

Department
Management Information Systems
Credits 3.0

This course examines the foundations of blockchain technology from multiple perspectives, including engineering, law, and economics. The course will cover blockchain technologies, distributed ledger technology, cryptocurrencies (e.g., Bitcoin), and their applications, implementation, and security concerns. Students will learn how these systems work, analyze the security and regulation issues relating to blockchain technologies and understand the impact of blockchain technologies on financial services and other industries. The student will get a detailed picture of blockchain business networks' components and structures, such as ledgers, smart contracts, consensus, certificate authorities, security, roles, transaction processes, participants, and fabrics. This course also examines the BTC ecosystem, XRP, ETH, tokens and ICOs, and CBDC. Students will also explore the history, current environment, and near-term outlook of financial innovation (FinTech), focusing on applications of Blockchain technology. Students will learn to formulate an accurate image and a deep practical understanding of the capabilities and limitations of various blockchain techniques. Students will also gain hands-on experience creating a simple Blockchain contract and will be able to converse on a practical basis about what Blockchain can and cannot do.

MIS 520: Artificial Intelligence and its Ethical Applications in Business

Department
Management Information Systems
Credits 3.0

This course provides students with a comprehensive introduction to the recent developments in AI, with a focus on their current and potential practical applications in business. The course covers fundamental AI concepts such as search methods, logic, knowledge representation, and natural language processing in sufficient detail to understand how these concepts and associated tools can be applied to solve practical business problems in ways that create fair and ethical solutions. Students will learn about bias in data, algorithms, and human decision making, and methods of avoiding the transfer of those biases to AI-based solutions. They will gain practical experience though a project about the opportunities of AI-based solutions to assist with making decisions and predictions and transforming business and work, as well as the challenges of doing so in a fair and ethical manner that benefits individuals, the environment, and society at large.

MIS 571: Database Applications Design and Development

Department
Management Information Systems
Credits 3.0
This course introduces students to the theory and practice of computer-based data management, including the delivery of high quality data in information processing and analysis. The course focuses on the design of database systems to meet an organization’s needs for data analytics. The course also covers data security, data integrity, data quality, as well as backup and recovery procedures. Students will be exposed to commercially available database management systems, such as Microsoft Access and Oracle. As a project during the course, students will design and implement a small database application that meets the data needs of some real-world business opportunity. The project report will include recommendations for ensuring data security, data integrity, and data quality.

MIS 573: System Design and Development

Department
Management Information Systems
Credits 3.0

This course introduces students to the concepts and principles of systems analysis and design. It covers all aspects of the systems development life cycle from project identification through project planning and management, requirements identification and specification, process and data modeling, system architecture and security, interface design, and implementation and change management. Object-oriented analysis techniques are introduced. Students will learn to use an upper level CASE (computer-aided software engineering) tool, which will be employed in completing a real-world systems analysis and design project.

MIS 576: Project Management

Department
Management Information Systems
Credits 3.0
This course presents the specific concepts, techniques and tools for managing projects effectively. The role of the project manager as team leader is examined, together with important techniques for controlling cost, schedules and performance parameters. Lectures, case studies and projects are combined to develop skills needed by project managers in todays environment.

MIS 581: Policy and Strategy for Information Technology, Artificial Intelligence, and Analytics

Department
Management Information Systems
Credits 3.0

This course focuses on the core IT capabilities that IT executives and managers must consider when creating strategy and policy for the deployment and use of information technologies, AI tools and techniques, and data within an organization. Those IT capabilities include both operational uses of such technologies, tools, and data, as well as strategic decision making for deploying advanced AI and Analytics capabilities. The expanding role of IT executives to encompass AI and Analytics capabilities as well as the fast-paced changes in technology require IT executives and managers to quickly understand, adapt, and apply technology that can provide value to organizations. Successful organizations are those that can react quickly by introducing innovative technologies and respond to market demands using data driven solutions produced by the ethical use of AI and Analytics models and tools. Students will learn how IT managers engage data and AI tools ethically to develop and enhance their departments’ strategies.

MIS 582: Information Security Management

Department
Management Information Systems
Credits 3.0
This course introduces students to the fundamentals of Information Security Management. It is designed to develop in students an understanding of and appreciation for the importance of information security to all enterprises, and to enable current and future managers to understand the important role that they must play in securing the enterprise. This course is appropriate for any student interested in gaining a managerial-level understanding of information security. A combination of readings, lectures, case studies, guest speakers, and discussion of real world events will be used to bridge the gap between theory and practice. The course will primarily explore the Common Body of Knowledge (CBK) of information security, along with other related topics. It will also explore the interaction between People, Process and Technology as the cornerstone of any effective information security program. Upon completion of this course, the student will have an in-depth understanding of the essential components of a comprehensive information security program, as well as an understanding of the technology at work behind the scenes.

MIS 583: User Experience Applications

Department
Management Information Systems
Credits 3.0
The UX Applications course provides an introduction to using UX methods to study user experience. The course teaches students how to use the newest research tools, including eye tracking and emotion detection, to study user experiences of technological products and services. Students will learn how businesses can benefit from these techniques. Both theoretical concepts and practical skills will be addressed within the scope of the class through hands-on projects, class exercises, and assignments.

MIS 584: Business Intelligence

Department
Management Information Systems
Credits 3.0

This course provides students with the knowledge and skills to design, develop, and use business dashboards for monitoring organizational performance and making data-driven decisions. On the technical side, students will learn and apply business intelligence software to organize, represent, and analyze data about customers, products, sales, marketing, operations, and financials. They will learn to create strategic, operational, and analytical dashboards displaying key performance indicators (KPIs) for managerial decision-making. On the business side, students will learn the connections between business strategy and plans, the KPIs that measure performance compared to those plans, and how to use dashboards to manage organizational performance. Students will also learn the technical and managerial challenges of creating and deploying these business intelligence best practices so that organizations gain value from their data. The course includes business cases and hands-on analyses of business data. It is designed for any student interested in learning about data-driven business performance management, including students whose primary focus is Business Management, Data Science, IT, Marketing, or Operations.

MIS 585: User Experience Design

Department
Management Information Systems
Credits 3.0

Creating value through designing positive user experiences is increasingly important for staying competitive in the marketplace. This course covers best practices for designing innovative user-centered product and service experiences that resonate with users. Through a series of hands-on projects, students will develop practical skills in showcasing the inherent value of their user-centered designs to stakeholders. Emphasis will be placed on constructing portfolios that effectively demonstrate the value of their designs and translate their design outcomes into tangible business results.

MIS 586: User Experience Methods

Department
Management Information Systems
Credits 3.0

In today’s digital economy, understanding how people use and experience technology is crucial to designing successful technological products and services. This course covers the methodologies and tools for conducting research in the User Experience (UX) field. The course covers both qualitative and quantitative methods for conducting UX research in academia and industry, including surveys, persona development, customer journey maps, and other industry-standard tools for studying user experience. Both cutting-edge theoretical concepts and proven practical skills will be addressed within the scope of the class through hands-on projects, class exercises, and assignments.

MIS 587: Business Applications in Machine Learning

Department
Management Information Systems
Credits 3.0
This course explores how Machine Learning (ML) and Artificial Intelligence (AI) is applied to solve business problems, to satisfy specific business needs, or to discover new opportunities for businesses. Applications of ML and AI are constantly evolving across many industries. This course utilizes existing AutoML solutions to address issues identified in business case studies (e.g. predicting hospital readmissions, loans likely to default, customer churn). The course covers the machine learning project life cycle starting with defining ML project objectives, acquiring and exploring data, modeling using AutoML tools, interpretation of models and communication of outcomes, and implementation and deployment of predictive models in organizations.