• CS 6730: Computer Graphics and Mixed Realities

  3.00 Credits

  Southern Utah University

  
  This course explores the field of Mixed Reality through research topics at the intersection of Computer Vision, Computer Graphics, and Human-Computer Interaction. Topics covered may include but are not limited to 3D interaction techniques, remote collaboration, tracking methods, photometric registration, navigation, and more. (Summer - 2nd Session) [Graded (Standard Letter)] Registration Restriction(s): Computer Science students only.
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• CS 6900: Advanced Artificial Intelligence

  3.00 Credits

  Southern Utah University

  
  Exploration of advanced topics in Artificial Intelligence, focusing on the intersection of language, vision, machine learning, decision making, and cognitive modeling towards embodied AI agents that can communicate, learn, reason, perceive, and act. Emphasis on research methods and practice, through analysis of current literature, and discussion of research challenges and opportunities. (Fall - 1st Session) [Graded (Standard Letter)] Registration Restriction(s): Artificial Intelligence & Machine Learning students only.
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• CS 6910: Advanced Machine Learning

  3.00 Credits

  Southern Utah University

  
  This course gives a graduate-level introduction to machine learning and in-depth coverage of new and advanced methods in machine learning, as well as their underlying theory. It emphasizes approaches with practical relevance and discusses a number of recent applications of machine learning in areas like information retrieval, recommender systems, data mining, computer vision, and natural language processing. An open research project is a major part of the course. (Spring - 1st Session) [Graded (Standard Letter)] Registration Restriction(s): Artificial Intelligence & Machine Learning students only
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• CS 6920: Deep Learning

  3.00 Credits

  Southern Utah University

  
  This course will help students delve into the core principles of deep learning, mastering neural network architectures, data preprocessing, and model optimization. They will also gain expertise in applying deep learning to computer vision and natural language processing, explore ethical considerations, and engage in independent research. Through practical projects, students will build a portfolio of hands-on experience, develop strong programming skills, and enhance their ability to communicate complex concepts. Additionally, the program fosters teamwork and collaboration, preparing students for interdisciplinary applications in various industries while instilling a commitment to lifelong learning in the rapidly evolving field of deep learning and artificial intelligence. (Spring - 2nd Session) [Graded (Standard Letter)] Prerequisite(s): CS 6910 - Prerequisite Min Grade: C Registration Restriction(s): Artificial Intelligence & Machine Learning students only. Prerequisite:    CS 6910
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• CS 6930: Advanced Computer Networks

  3.00 Credits

  Southern Utah University

  
  The Internet protocols have revolutionized communications. This advanced networking course will equip students with a deep knowledge of network concepts, protocol design, and performance analysis that make the Internet work, help develop critical insight into their design, and obtain a first-hand feel for implementation through homework and project exercises. (Fall - 2nd Session) [Graded (Standard Letter)} Registration Restriction(s): Artificial Intelligence & Machine Learning students only
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• CS 6940: Data Mining and Analytics

  3.00 Credits

  Southern Utah University

  
  Data Mining studies algorithms and computational paradigms that allow computers to find patterns and regularities in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. Important related technologies as data warehousing and on-line analytical processing (OLAP) will be also discussed. (Summer - 1st Session) [Graded (Standard Letter)] Registration Restriction(s): Artificial Intelligence & Machine Learning students only.
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• CS 6950: Computer Vision

  3.00 Credits

  Southern Utah University

  
  Computer vision enables computing systems to extract meaningful information from digital images, videos, and other visual inputs to make computable decisions. The course will provide an overview of the challenges of human-computer vision and current techniques. (Summer - 2nd Session) [Graded (Standard Letter)] Registration Restriction(s): Artificial Intelligence & Machine Learning students only.
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• CSCY 1000: Introduction to Computer Applications and the Internet

  3.00 Credits

  Southern Utah University

  
  This course will explore computer productivity software such as the Microsoft Office Suite. This course prepares the student to sit for Microsoft Certified Application Specialist (MCAS) certification. (Fall, Summer) [Graded (Standard Letter)] Registration Restriction(s): Intensive English Program majors may not enroll
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• CSCY 1100: Outreach Computing Projects

  1.00 Credits

  Southern Utah University

  
  This course will provide an opportunity for students to participate and engage in various computing projects. These industry- and university-sponsored projects are carefully designed to increase awareness about education and career computing skills. These skills lead the way for innovative solutions to long-standing problems at national and local levels that are at a high demand by virtually every industry. This one-credit course can be taken by students a maximum of three times. (Fall, Spring, Summer) [Pass/Fail] Repeatable for Add'l Credit? Yes - Total Credits: 3
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• CSCY 1200: Critical Thinking for Logic and Design

  3.00 Credits

  Southern Utah University

  
  This course seeks to promote the skills needed for critical thinking and decision making. A critical thinker should be able to analyze solutions to a problem, probing its strengths and weaknesses and comparing it to other alternatives. This process of deliberation leads to a selection of good alternatives and also a clear understanding of why a certain choice was made. Programming logic, physical design, specification, and documentation will be learned. Emphasizes business problem solving with programmable solutions. (Fall, Spring) [Graded (Standard Letter)]
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