• IS 2475: Intro to Blockchain

  3.00 Credits

  University of Utah

  
  This course provides an overview of the concepts, technology, and industry impacts of blockchain. The course is designed to be multi-level, multidisciplinary, and critical, with a focus on providing students a basic understanding of how blockchains work, where they are used, their limitations, and how they affect organizations and society. Our objective is to cut through the confusion from the hype and ambiguity of blockchain and help students understand and learn to make informed analyses and decisions regarding its use, particularly in governance, compliance, intellectual property protection, among other benefits. 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. Prerequisites: Member of the CBKI student group.
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• IS 2480: Product Management

  3.00 Credits

  University of Utah

  
  This course is an introduction to technology product management. The course content is meant to cover the basics of the roles and responsibilities of a product manager. We will cover the entire innovation lifecycle from idea to product launch. We will dive into the phases in the lifecycle including the invention/innovation phase, through the product discovery, development and delivery phases. We will explore how to effectively conduct product research based on customer feedback and how to develop and implement a product roadmap from researching, planning, building, delivery, refining, to retiring a product.
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• IS 2481: Virtual Reality

  3.00 Credits

  University of Utah

  
  This course will teach students of all majors the tools and techniques used to develop modern, professional Virtual Reality Training courses. The class will teach all aspects of the creation process, from instructional design methodology and filming, to project creation utilizing Web based VR Authoring Tools. Students will learn these techniques through hands-on creation of VR training modules. The final group project will have students go through the full creation and complete their own VR training simulation.
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• IS 2487: Beginner Python

  3.00 Credits

  University of Utah

  
  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.
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• IS 2489: Predictive Analytics

  3.00 Credits

  University of Utah

  
  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. Prerequisites: Member of the CBKI student group.
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• IS 2492: Intro DB for Business

  3.00 Credits

  University of Utah

  
  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.
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• IS 2493: Introductory Big Data

  3.00 Credits

  University of Utah

  
  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.
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• IS 2495: Intro to AI and ML

  3.00 Credits

  University of Utah

  
  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.
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• IS 2910: Special Topics

  1.00 - 3.00 Credits

  University of Utah

  
  Topics vary according to current issues, talents or experience of instructor. Course may be repeated when topic varies. Prerequisites: Member of the CBKI student group.
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• IS 3060: Information Systems

  3.00 Credits

  University of Utah

  
  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.
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