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CS 6600: Intelligent Systems
4.00 Credits
Utah State University
This course examines the three main areas of AI: data-driven intelligence, natural language processing (NLP), and planning. Students learn models from big data, investigate systems that understand/generate natural language, and study problem-solving models in domains such as robot navigation and symbolic mathematics. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6615: Natural Language Processing
3.00 Credits
Utah State University
This course offers students an introduction to the field of NLP, providing a comprehensive overview of state-of-the-art methods within this domain. Integrating hands-on sessions, the course aims to equip students with fundamental knowledge of AI and natural language. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6620: AI Applications In Education
3.00 Credits
Utah State University
This course introduces students to cognitive modeling, learner modeling, intelligent tutoring systems, adaptive educational systems, and natural language processing for automated feedback. Coursework involves using AI tools for prototype development and a course project of the student's own design. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6630: Fuzzy Logic and its Application
3.00 Credits
Utah State University
This course introduces students to machine learning and problem solving techniques based on fuzzy logic.
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CS 6630 - Fuzzy Logic and its Application
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CS 6640: Artificial Neural Networks
3.00 Credits
Utah State University
This course is designed for students to acquire foundational knowledge about deep neural networks and their applications across various AI tasks, including language understanding, speech and image recognition, machine translation, planning, as well as other topics. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6650: Neural Networks
3.00 Credits
Utah State University
This advanced course covers theories and techniques of machine intelligence using neural networks. It emphasizes various neural network paradigms and the types of problems they are best suited to solve.
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CS 6665: Machine Learning for Data Science
3.00 Credits
Utah State University
This course introduces the theoretical foundations, algorithms, and methods of deriving valuable insights from data at scale (e.g., big data). Specifically, students study big data management and processing techniques, data analytics, statistical methods and models, data visualization. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6675: Advanced Data Mining
3.00 Credits
Utah State University
This course provides a deep dive into advanced topics in data mining, data analysis, and pattern recognition. The course explores high-dimensional data, graph and temporal data, frequent patterns, and current trends and ethical issues of data mining.
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CS 6680: Computer Vision: Foundations and Applications
3.00 Credits
Utah State University
This course provides an introduction to theories and techniques of machine intelligence, with emphasis on image processing, pattern recognition, and computer vision. Additional coursework is required for those enrolled in the graduate-level course.
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CS 6710: Software Security
3.00 Credits
Utah State University
Students learn security concepts, methodologies, and techniques for operating systems and application software, including techniques like source code analysis, binary analysis, fuzzing, and reverse engineering, with applications in vulnerability discovery, malware analysis, risk mitigation, and digital forensics. Additional coursework is required for those enrolled in the graduate-level course.
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