68 courses with the subject ISM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
The course develops introductory spreadsheet skills. Topics focus on the creation of effective spreadsheets and reports and the management of datasets to solve business problems.
Students learn skills needed to design effective Web pages by studying the best practices in website design.
This course provides an overview of cyber security essentials. Any loss of data or compromise devastates a corporation. This course covers essential aspects of cyber security management.
Principles of Business Analytics introduced students to the advanced techniques in the use of business computing applications, including spreadsheets, database systems, and linkage between applications to enhance productivity. Students study how end-user applications are managed and contribute to business.
Study of database management systems with a focus on both traditional and cloud-based database design, implementation, query and use. Includes an extensive case study requiring the development of a database system for organizational needs.
Learn fundamentals of programming with focus on analytics and AI. Explore modern programming techniques for business problems in analytics, predictive modelling, machine learning, and integrating hands-on Gen AI programming knowledge.
The course covers the fundamentals of business information systems in the context of a modern organization. Topics focus on the use of information systems, technologies and business analytics for decision making and competitive advantages.
Focuses on systems and process concepts such as automation boundaries, feasibility assessments, performance measures, information modeling, process reengineering, quality, and value added. Course emphasizes analysis methodologies.
Study of advanced procedural software structures such as multidimensional arrays and tables, indexed file processing, and interactive processing. Introduction to object oriented software structure such as class definitions, object instances, and class methods.
Students will learn the fundamentals and background of generative AI, Large Language Models with a focus on practical applications, prompt engineering, governance, ethical and responsible use of AI.
Networking and telecommunication concepts are described. Technical and organizational activities for securing distributed systems are presented. System security and information assurance methodologies, procedures and best practices are studied.
Study of specific application development environments and development tools to support business application development.
Covers security compliance and risk management policy, frameworks, assessment, and incident response. Employ ethical hacking as authorized testing to identify exploitable vulnerabilities and propose mitigations through hands-on labs and reporting.
Evaluate strategies to protect data, including cryptographic systems and their use in real world applications. Examine latest developments in blockchains and their role in security and data management.
This course provides students with the opportunity to apply classroom knowledge and skills to a business situation and develop new work management skills and understandings.
Study of advanced and emerging techniques and methods of business analytics, including gathering, processing and analyzing large volumes of data to generate insights that inform business decisions.
AI-enabled development of cost effective computer-based systems to produce information needed for managerial decision making as specified in the information analysis phase.
Individual study of issues or problems in information systems and/or supply chain management. Student must arrange time and course requirements with instructor prior to registration.
Independent study and research with class discussion covering a topic or group of related topics of current interest in information systems and/or supply chain management.
Individual study problems in the field. Regular conferences with instructor required.
A problem-based approach to SAP and Enterprise Resource Planning concepts. Hands-on learning of integrated SAP software modules for business processes such as sales, logistics, material management, procurement, and human resources.
Covers cloud computing theories and concepts in the context of business organizations. Also provides instruction related to security analytics using cloud computing technologies.
Predictive analytics are iteratively generated by analyzing and exploring enterprise data to predict relationships and generate insights for organizations. Principles, models, and methods of predictive analytics are discussed.
Data are analyzed to answer questions. Students are exposed to concepts and techniques to understand analytics results and appropriately infer relationships to answer questions and visualize results using contemporary techniques.
Cognitive computing and artificial intelligence based applications are increasingly employed by businesses to generate insight from data. Students are introduced to principles, techniques, and models for developing these systems.
Covers fundamental principles, concepts and theories and implementation details related to deep learning technologies. Includes common neural network architectures such as Multi-layer Perceptron (MLP), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM and Transformer architectures and their applications in business.
Focuses on Generative AI applications in Business, primarily on Large Language Models (LLMs) and Generative AI related to Image, Audio and Video Generation. Covers Transformer Architecture, Generative Modeling, Variational Autoencoders, Generative Adversarial Networks in the context of business applications and decisions.
Study of the technical, managerial, and organization issues in systems security, including systems security models, analysis of business process and technology for systems security, and information assurance.
Evaluate strategies to protect data, including cryptographic systems and their use in real world applications. Examine latest developments in blockchains and their role in security and data management.
The course focuses on evaluating global cyber threats because of cyber weapons, cyber warfare, and other criminal activities. The course also evaluates defensive strategies and necessary capabilities to combat threats.
Focus on enterprise and IT risk identification, evaluation, mitigation, and risk-related decision making, given the resource constraints. Students learn foundational theories and framework in risk management. Standard risk management approaches for identifying, analyzing, and responding to risks are introduced. Tools and methodologies for metrics to monitor risk management activities presented.
Examines the role of disruptive and emerging IT in reshaping business models, strategy, economies, and society by fueling disruptive product and process innovation. Explores processes and governance for IT-driven disruptive innovation.
Fundamental concepts of database management systems, including database design, implementation, and the use of the SQL query language.
Apply fundamental programming concepts in designing and implementing applications for the web. This course provides students the necessary foundations for developing web applications and evaluating entrepreneurial opportunities.
Technology related to internal and external network/telecommunication services. Managerial and business issues related to the identification, acquisition, and management of network/telecommunications services in the contemporary enterprise.
Examines the role of information technology to improve processes and business performance, analyze the interaction of business strategies, work processes, competitive markets, technology and people for effective IT management.
Modern methods of defining, planning and executing large IT and other projects. Computer software and network modeling are used to support the efficient scheduling of interdependent activities.
A capstone experience in which the students demonstrate a broad knowledge of Business Analytics by undertaking hands-on projects with realistic data.
Specific course title identified each time the course is offered. Selected topics will address contemporary issues in information technology and its management.
Academic and required work components allow students to gain organization experience. Course supervised by a designated graduate faculty member and an organization manager.
Capstone experience in which the student demonstrates a broad knowledge of the material covered in the MSITM curricula by undertaking a project approved in consultation with the MSITM Program Director.
An independent, theory-based inquiry in which a student applied knowledge and skills acquired to the scholarly study of information technology and management.
Introduction to various techniques available for extracting useful information and business value from the large volume of rich data at the disposal of organizations. Covers the concepts, principles, methodologies, and emerging trends in data mining and predictive analytics. Exposure to research questions that lend themselves to use of predictive analytics.
Data are analyzed to answer questions. Students are exposed to concepts and techniques to understand analytics results and appropriately infer relationships to answer questions and visualize results using contemporary techniques.
Cognitive computing and artificial intelligence based applications are increasingly employed by businesses to generate insight from data. Students are introduced to the current and emerging research opportunities in all aspects these systems.
Study of the technical, managerial, and organizational issues in systems security, including systems security models, analysis of business processes and technology for systems security, and information assurance. Research issues and trends are identified and discussed.
Evaluate strategies to protect data, including cryptographic systems and their use in real world applications. Examine latest developments in blockchains and their role in security and data management. Identify and discuss contemporary research issues and trends.
The course introduces proactive methodologies for delivering mitigation strategies to protect against today's sophisticated threats. The course focuses on the global nature of threats and the formation of dark markets. Research trends and opportunities are identified and discussed.
This course covers both conceptual and practical aspects of IT driven disruptive innovation management. This course primarily focuses on emerging information technologies that drive disruptive innovation and the research issues and opportunities that arise.
Focuses on Generative AI applications in Business and Information Systems Research, primarily on Large Language Models (LLMs) and Generative AI related to Image, Audio and Video Generation in the context of information systems research related to business organizations. Explores various research questions and topics.
Covers fundamental principles, concepts and theories and implementation details related to deep learning technologies and will include common neural network architectures such as Multi-layer Perceptron (MLP), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM and Transformer architectures and corresponding research topics in the context of business.
Covers cloud Computing, security analytics, and information systems research in the context of business organizations. Also provides instruction related to security analytics using cloud computing technologies. Research questions and topics related cloud computing and security analytics will be explored.
Study of the principles of scientific inquiry and its applications in information systems research. Topics may include different types of knowledge generation, foundations of theory and research design alternatives.
Current research issues on the intersection of information systems and supply chain systems. Topics may include blockchains, Internet-of-Things, information asymmetry and strategic inter-organizational information systems.
Study of contemporary and emerging topics in information systems. Topics may include cybersecurity, social and crowd-based technologies, health information and health IT, and analytics, artificial intelligence and machine learning.
Application of various research techniques in information systems research Topics may include econometrics, game theory, analytical modeling, queueing models, decision theory; experiments, big data techniques, panel data analysis.
Focuses on contemporary research methods for studying information systems phenomena, particularly those related to emerging technologies. Emphasizes enhancing doctoral students’ ability to identify, examine, and evaluate different contemporary methodologies regarding philosophical underpinnings of the methodology and dominant research frameworks for use of those methodologies, research paradigms and theoretical conceptualizations.
Supervised teaching of an information systems (IS) course. Faculty mentor will guide in planning and delivery.
Organizational work and research in information systems in actual organization. Expose student to practical and relevant research problems. Supervised by designated faculty member and organization manager.
Examines underlying theories in information systems research. Theories from organizational behavior, strategic management, economics, other disciplines inside and outside business, and IS will be discussed.
Introduction to topics ranging from the philosophical underpinnings of the field and the dominant research frameworks, paradigms, or theoretical conceptualizations. Discusses fundamentals of undertaking research, including defining problems, research questions, conducting a literature review, collecting evidence, interpreting findings, and drawing conclusions and generalizations.
Research process and various design elements for quantitative and qualitative research in information systems.
Explores current and emerging research topics in information systems.
Individual work on research issues related to the student's primary area(s) of specialization. Work may consist of original research and/or critical examination and integration of existing literature.
Dissertation.
Thesis Extension.
Dissertation Extension.
Research Extension.
Source: University of North Carolina at Greensboro's catalog, linked per course · table learning_unit · CourseShelf publish 61
