Course Search Results

• CS 5715: Program Analysis and Its Application

  3.00 Credits

  Utah State University

  
  Students learn techniques and tools essential for understanding, improving, and securing software systems, covering static and dynamic analysis methods like data flow analysis, control flow analysis, symbolic execution, and model checking, with practical applications in bug detection, security analysis, and code maintainability. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5750: Computing Education Research

  3.00 Credits

  Utah State University

  
  This course introduces topics in computing education research, including learning science, cognitive science, motivation and affect, statistical methods, qualitative methods, pedagogy, assessment, equity and diversity, programming paradigms, and computing for other disciplines. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5800: Introduction to Database Systems

  3.00 Credits

  Utah State University

  
  This course compares of various database systems, normal forms, protection, concurrency, security and integrity, and distributed and object-oriented systems.
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• CS 5820: Interactive Information Visualization for Data Science

  3.00 Credits

  Utah State University

  
  This course introduces design principles and techniques for visualizing data. Students learn how visual representations support analysis and understanding of complex data and how to design effective and interactive visualizations. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5830: Data Science in Practice

  3.00 Credits

  Utah State University

  
  In this project-based course, students from multiple disciplines work in teams to analyze data from real-world projects. Project teams group technical students from CS with domain experts from outside of CS to analyze data using state-of-the-art data science tools and techniques. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5840: Graph Mining

  3.00 Credits

  Utah State University

  
  This course introduces data mining techniques (e.g., graph neural networks) to extract meaningful patterns from graph data. The course also explores social network analysis as the study of social ties through the lens of graph theory. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5850: Introduction to Data Analysis

  3.00 Credits

  Utah State University

  
  This course is intended for students interested in gaining hands-on experience applying computational techniques to solve big data analysis problems. The introduced topics help students learn practical tools to perform the necessary steps of a data analysis project pipeline. Additional coursework is required for those enrolled in the graduate-level course.
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• CS 5890: Topics in Computer Science (Topic)

  1.00 - 4.00 Credits

  Utah State University

  
  Current topics in computer science as determined by advances in the field.
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• CS 5950: Independent Study

  3.00 Credits

  Utah State University

  
  This course provides the independent study of selected topics.
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• CS 6030: High Performance Computing

  4.00 Credits

  Utah State University

  
  This course introduces high-performance computing, leveraging parallel computing power to solve complex computational problems faster using clusters and supercomputers. Students learn the main programming models, optimized coding for modern multi-core processors, clusters, and modern computing architecture. This is a TEAMWORK course. Additional coursework is required for those enrolled in the graduate-level course.
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