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CS 6850: 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. Registration Restriction(s): Admission to one of the following programs, or instructor permission: Master of Computer Science - MCS, Computer Science - MS, Data Science - MS, Computer Science - PhD Dual-listed as: CS 5850 Repeatable for credit: No Grade Mode: Standard
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CS 6850 - Introduction to Data Analysis
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CS 6890: Topics in Computer Science (Topic)
1.00 - 4.00 Credits
Utah State University
This course explores current topics in computer science as determined by advances in the field. Prerequisite/Restriction: Enrollment in one of the following programs, or instructor permission: MCS (Master of Computer Science) MS in Computer Science MS in Data Science PhD in Computer Science Repeatable for credit.
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CS 6890 - Topics in Computer Science (Topic)
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CS 6900: Seminar
1.00 Credits
Utah State University
This course covers a series of one-hour seminars on current research topics presented by computer science faculty. Registration Restriction(s): Enrollment in one of the following programs, or instructor permission: Computer Science - MS Data Science - MS Computer Science - PhD Repeatable for credit: No Grade Mode: Standard
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CS 6900 - Seminar
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CS 6950: Directed Readings in Computer Science
3.00 Credits
Utah State University
Directed reading on advanced topics in computer science. Prerequisite/Restriction: 3.0 GPA; permission of instructor and enrollment in Computer Science master's or PhD program. Repeatable for credit.
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CS 6950 - Directed Readings in Computer Science
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CS 6970: Thesis and Research
1.00 - 9.00 Credits
Utah State University
Graduate research in computer science. Prerequisite/Restriction: 3.0 GPA; permission of instructor and enrollment in Computer Science master's or PhD program. Repeatable for credit. Pass/Fail only.
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CS 6970 - Thesis and Research
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CS 6990: Continuing Graduate Advisement
1.00 - 6.00 Credits
Utah State University
This course provides graduate students with continued advisement. It is usually taken following completion of all coursework required for the degree. Prerequisite/Restriction: 3.0 GPA; permission of instructor and enrollment in Computer Science master's or PhD program. Repeatable for credit. Pass/Fail only.
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CS 6990 - Continuing Graduate Advisement
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CS 7050: Computational Geometry: Algorithms and Applications
3.00 Credits
Utah State University
This course presents algorithms and data structures of computational geometry. Students learn algorithm design techniques for solving geometric problems as well as their applications in data processing, computer graphics, robotics, computer-aided design, and many others. CS 6050 and CS 7050 are cross listed, but CS 7050 requires additional work. Also Taught As: CS 6050 Prerequisites: Enrollment in a PhD Computer Science program or instructor permission
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CS 7050 - Computational Geometry: Algorithms and Applications
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CS 7150: Computational Complexity
3.00 Credits
Utah State University
Focuses on central concepts in theoretical computer science, including NP-hardness, reductions, approximation algorithms, and fixed parameter algorithms. Samples modern algorithmic topics such as streaming, online, randomized, probabilistic, distributed, and quantum computations. Studies hard computational problems in both combinatorial and geometric settings. Prerequisites: Enrollment is Computer Science MPhD program; or one of the following: B+ or greater in CS 5050, A- or greater in CS 2420, or permission of instructor.
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CS 7150 - Computational Complexity
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CS 7460: Contextualized Privacy by Critical Design
3.00 Credits
Utah State University
Covers recent research directions in computer security. Reviews current state of the field, and explores possible research directions for further work. Prerequisite(s): CS 6460 or instructor permission Repeatable for credit: No Grade Mode: Standard
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CS 7460 - Contextualized Privacy by Critical Design
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CS 7650: Advanced CVP RIP: Computer Vision, Pattern Recognition and Image Processing
3.00 Credits
Utah State University
Investigates new developments in representation and processing of gray-level and color images, including thresholding, segmentation, curve detection, etc. Also examines visual perception, as well as statistical and syntactical pattern classification. Prerequisites: 3.0 GPA; permission of instructor and enrollment in Computer Science master's or PhD program.
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CS 7650 - Advanced CVP RIP: Computer Vision, Pattern Recognition and Image Processing
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