Course Search Results

  • IS 4480: Data Warehousing

    3.00 Credits
    University of Utah

    The data generated from ongoing operations of businesses and not-for-profit enterprises continues to grow. Using the data to diagnose problems and assess opportunities is becoming more and more of a competitive advantage in today's business environment. Before analysis can take place, existing data must be modeled in ways that facilitate reporting. This course briefly presents the data models of existing operational systems and then contrasts those models to dimensional models used in data warehouses and analytic processing engines. Business reporting needs are analyzed, data warehouses are modeled based on the reporting needs, and then SQL is used to create and populate tables based on dimensional models. Once in place, the data warehouse is used as a backend for a reporting tool to create reports that answer business questions. Prerequisites: "C-" or better in IS 4420 AND (Full Major or Minor status in Information Systems OR Full Major status in Quantitative Analysis of Markets & Organizations).
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  • IS 4482: Business Data Mining

    3.00 Credits
    University of Utah

    This course introduces the concepts, process, implementation, evaluation and issues of the basic methods for the widely adopted data mining tasks - classification, prediction, clustering and association rule modeling. Students will learn how to apply , improve, evaluate and explain these data mining models for real world applications. Prerequisites: 'C-' or better in IS 4420 AND (Full Major or Minor status in Information Systems OR Full Major status in Quantitative Analysis of Markets & Organizations OR Full Minor status in Business Analytics)
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  • IS 4485: Programming with Python

    3.00 Credits
    University of Utah

    While data abounds in almost every aspect of business operations, the ability to transform this data into a usable form often lags behind data access. Python is a programming language that is suited to meet this need (having a simple syntax and many libraries that make data handling easier). The first part of this course will be an introduction to Python. Students will become familiar with Python data structures, types, and syntax while working on project-based assignments. In the second part of the course we will leverage Python to explore the different phases of a data analysis project including: acquiring and cleaning data, exploring data and relationships between variables, automating data collection, and presenting data visualizations. Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND (Full Major or Minor status in Information Systems OR Full Major status in QAMO OR Full Minor status in Business Analytics)
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  • IS 4487: Business Analytics

    3.00 Credits
    University of Utah

    This course is an introduction to the practice of business analytics. Students will get an overview of the approaches, tools, and methods used by working data scientists and analysts to solve typical business problems. Rather than emphasizing analytic methods, however, this course uses detailed case studies to provide an overview of the process of solving business problems using data--what we'll call the analytics lifecycle--from understanding the business and framing the problem to modeling an outcome, deploying a solution and communicating insights. Students will also be introduced to the basics of Python, an open-source programming language, used for data analysis. The emphasis in this course will be on visualizing relationships in the data and communicating results in the context of the business problem. The course will also introduce ethical considerations in collecting and modeling data. Prerequisites: 'C-' or better in ((IS 4410 OR IS 4411) AND Full Major or Minor status in the School of Business)) OR ((IS 3060 OR IS 3061) AND OSC 3440 AND Intermediate or Full Major status in the School of Business)
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  • IS 4490: AI for Bus Process

    3.00 Credits
    University of Utah

    This course provides an in-depth introduction to AI and its transformative effects on business. We cover the basics of AI agents, frameworks, and machine learning concepts like neural networks, Natural Language Processing (NLP), and generative AI, focusing on their use in business. Students will learn to segment business processes into NLP tasks and select models for optimal performance.Through hands-on labs, students work with tools like Python, Colab, and HuggingFace to tackle tasks such as sentiment analysis, tagging, and process automation. Key topics include Semantic Search, insight extraction, and synthetic media. A final project involves designing an AI agent to enhance a business process, with discussions on AI ethics. No prior AI or coding experience is needed'just curiosity and a drive to learn! Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND (Full Major or Minor status in Information Systems or Business Analytics)
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  • IS 4495: Business Strat and AI

    3.00 Credits
    University of Utah

    This course explores artificial intelligence (AI) in modern information systems, covering data science, machine learning, natural language processing, and other AI types. Students learn how AI enhances business processes and decision-making through a blend of theory and hands-on projects with leading AI tools, providing real-world application experience.The course emphasizes key aspects of successful AI implementation, including AI-enabled business strategies, project management, and societal impacts. Students will learn strategic frameworks like the Strategy Diamond and Blue Ocean Strategy to align AI projects with corporate goals. Designed for those aiming to integrate AI into business strategy, this course empowers students to drive innovation and competitive advantage. Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND (Full Major or Minor status in Information Systems or Business Analytics)
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  • IS 4999: IS Hon Thesis Project

    1.50 - 3.00 Credits
    University of Utah

    Restricted to students in the Honors Program working on their Honors degree. Prerequisites: (Full Major status in the David Eccles School of Business OR Full Major status in QAMO) AND Member of Honors College AND David Eccles School of Business advisor consent.
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  • IS 5620: Global Info Systems

    3.00 Credits
    University of Utah

    This course is designed to provide students with the awareness of the complexities of contemporary Information Systems on a global scale and teach skills for managing these complexities as well as the consciousness of the on-going dialogue gearing towards building consensus among these global ICT issues. It also teaches students how information culture may vary in different countries, how this variation may impact the adoption of information technologies, and how various information technologies can be used to strengthen the business competitiveness globally. The emphasis is placed upon the interaction of many technological, political, and cultural issues and on how advances in information technology are changing the way businesses are conducted today and in the future. Core concepts addressed in this course include global and cultural considerations surrounding: organization IT/IS strategy, system architecture, resource management, hardware/software sourcing, security and cybercrime, information system design, IT/IS governance & privacy, ethics and law pertaining to ICT, and managing IT resources. Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND (Full Major or Minor status in Information Systems OR Full Major status in Quantitative Analysis of Markets and Organizations)
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  • IS 5850: Special Topics in OM

    1.50 - 3.00 Credits
    University of Utah

    Topics vary according to current marketing environment and special interests/experience of instructor. Prerequisites: "C-" or better in (IS 4410 OR IS 4411) AND Full Major or Minor status in the David Eccles School of Business.
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  • IS 5910: Special Topics

    1.00 - 6.00 Credits
    University of Utah

    Topics vary according to current issues, talents or experience of instructor. Course may be repeated when topic varies. Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND Full Major or Minor status in the David Eccles School of Business
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