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  • 3.00 Credits

    In this course, students will learn the basics of programming using Python. We will start with learning the basic syntax of Python, but we will quickly move towards working with different data formats including csv, json, and xml. Along the way we will discover the basics of designing and troubleshooting code. Towards the end of the course, you will be exposed to Jupyter Notebooks and data visualizations. And we'll wrap up with a final project on a topic that you choose and are passionate about.
  • 3.00 Credits

    Predictive analytics is an essential business tool for anyone who needs to use historical data to predict future outcomes and probabilities. Applications include risk analysis, predicted health outcomes, crime prevention, sentiment analysis, customer recommendations and much more. For students of any major, this course will help you understand what predictive analytics is and how it applies to your chosen field. We will break down real world applications; introduce predictive techniques including Decisions Trees, Regression Analysis, and Machine Learning; get hands on with predictive software tools; show you how to find the most interesting and impactful problems to solve; and understand important legal and ethical issues. The course culminates in a detailed plan to implement a Predictive Analytics application in your field of interest.
  • 3.00 Credits

    Data and databases are ubiquitous, that is, they are everywhere'in businesses, in our phones, in computer games, in smart devices, and in all manner of modern applications. This class assumes no prior knowledge of databases and starts with hands-on exploration of the pervasive nature of data in technology, business, science, sociology, psychology, sports, linguistics, art, music, games, politics, social media, etc. Once we have grounded ourselves in our understanding of how data fits into our lives and compelling interests, we will turn our attention to the software and systems that make it all possible. You will learn how to identify different sources and types of data, types of databases, and the software and systems on which they reside. You will learn to install and set up database software on your computer. You will learn to create databases, to load them with data, and interact with them using MySQL as well as with common software applications, such as Microsoft Excel, Tableau, and others. You will also learn to work with databases directly using Structured Query Language (SQL). Along the way, you will use these tools, hands-on, in the context of several of the topic areas listed above. This class is an initiative to expose new generations of students at the University of Utah to learning Digital Literacy so as to arm them with strong skills for future employment. The primary purpose is to supplement the student's core major in making it relevant for today's competitive and technology-dependent job market.
  • 3.00 Credits

    Big Data is an umbrella term for rapidly evolving data sources and data analysis techniques to support the demands of modern business. New sources of data include mobile apps, social media, and personal and commercial Internet-connected devices (IOT). Unstructured data may be generated from audio, image and video sources. Big Data also encompases structured data found in information systems such as accounting systems, banking systems, customer relationship management (CRM) systems, enterprise resource planning (ERP) systems, and medical systems.
  • 3.00 Credits

    The course provides a comprehensive overview of common AI and Automation technologies and the business opportunities and challenges they introduce. Students receive hands-on experience with real-world technology including an introduction to Chat Bots, Process Mining, Robotic Process Automation (RPA), Machine Learning, and various applications of Deep Learning. Simultaneously, the course explores the managerial challenges of developing an AI and Automation driven strategy including how to identify and quantify the value of a solution, how to launch new projects and manage risks, and how to assess legal and ethical issues. The course culminates with each student building a hardware + software AI tool and developing a disruptive business plan for using that technology in business. This class is an initiative to expose new generations of students at the University of Utah to learning Digital Literacy so as to arm them with strong skills for future employment. The primary purpose is to supplement the student's core major in making it relevant for today's competitive and technology-dependent job market.
  • 1.00 - 3.00 Credits

    Topics vary according to current issues, talents or experience of instructor. Course may be repeated when topic varies.
  • 3.00 Credits

    Intermediate Status. Overview of the role and use of information systems to support individual, group, and business decision-making. Includes coverage of technology's role in supporting the decision-making process of business. Prerequisites: Intermediate or Full Major or Minor status in the David Eccles School of Business OR Full Major status in QAMO.
  • 3.00 Credits

    Intermediate Status. Overview of the role and use of information systems to support individual, group, and business decision-making. Includes coverage of technology's role in supporting the decision-making process of business. Prerequisites: Member of Honors College AND (Full Major OR Minor status in the School of Business OR Full Major status in QAMO)
  • 1.00 Credits

    This course requires the student to prepare for a selected certification program. This involves learning from video tutorials, working through demos, researching, summarizing learned knowledge in a term paper, and presenting what he/she learned to the rest of the class. This course stops short of requiring the student to sit for the corresponding examinations for the selected certification. 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)
  • 3.00 Credits

    Intermediate Status. Overview of the role and use of information systems to support individual, group, and business decision-making. Includes coverage of technology's role in supporting the decision-making process of business. Prerequisites: Intermediate or Full Major or Minor status in the David Eccles School of Business OR Full Major status in Quantitative Analysis of Markets & Organizations