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C S G4323: Compiler Construction
2.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 3323. Introduction to the theory and implementation of programming language compilers and interpreters. Class projects require the design of medium scale software systems. (Sp)
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C S G4413: Algorithm Analysis
1.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 2413 or 4005. Design and analysis of algorithms and measurement of their complexity. (F)
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C S G4513: Database Management
1.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 2413 and senior standing or 4005. Emphasizes concepts and structures necessary to design and implement a database management system. (F)
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C S G4613: Computer Architecture
1.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 2613 or Electrical and Computer Engineering 3223, or 4004. Covers basic concepts of computer system design and communication between components, along with current and historical examples of computer architecture. (F, Sp)
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C S G5023: Introduction to Intelligent Robotics
2.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 2413 or permission of instructor. History of intelligent robotics; functional models approach; reactive robots; ethology for robotics; architectures and methodologies; implementation; sensing; hybrid deliberative/reactive robotics; multi-robot systems; navigation; topological path planning; metric path planning; localization and mapping. No student may earn credit for both 4023 and 5023. (Sp)
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C S G5023 - Introduction to Intelligent Robotics
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C S G5033: Machine Learning
3.00 Credits
University of Oklahoma Norman Campus
Prerequisite: Mathematics 4753 or Engineering 3293 or Industrial Engineering 3293 or Mathematics 4743, and Mathematics 3333. Topics include decision trees, relational learning, neural networks, Bayesian learning, reinforcement learning, multiple-instance learning, feature selection, learning appropriate representations, clustering, and kernel methods. No student may earn credit for both 4033 and 5033. (F)
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C S G5043: Advanced Machine Learning
4.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 4033 or 5033 and Math 3333. Advanced topics in machine learning. Possible topics include graphical models, kernel methods, and statistical relational learning. (Sp)
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C S G5043 - Advanced Machine Learning
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C S G5053: Computer Graphics
5.00 Credits
University of Oklahoma Norman Campus
Prerequisite: Mathematics 3333 and 2413 or 4005 and graduate standing. An introduction to computer graphics. Topics include coordinate systems, transformations, rendering in both two and three dimensions, and graphical programming. No student may earn credit for both 4053 and 5053. (Sp)
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C S G5083: Knowledge discovery and Data Mining
8.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 4033 or 5033 or permission of instructor. An application oriented course that gives students the tools to develop and apply appropriate data mining and knowledge discovery techniques to real world problems. (Sp)
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C S G5113: Operating Systems Theory
1.00 Credits
University of Oklahoma Norman Campus
Prerequisite: 3113 or 4004, and Mathematics 4753 or Industrial Engineering 3293 or Mathematics 4743 or Engineering 3293. Continuation of study from 3113. Advanced topics and examples, and simulation techniques used in performance evaluation. No student may earn credit for both 4113 and 5113. (Sp)
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