• COSC 370: Intro/Scientific Computing

  3.00 Credits

  The University of Tennessee - Knoxville

  
  The design, analysis, and implementation of numerical algorithms for solving problems in science and engineering. Emphasis on program design, including data structures, computational complexity, scientific computing environments, and high-performance software packages.Credit Restriction: Students may not receive credit for both Computer Science 370 and Mathematics 371.(RE) Prerequisite(s): 140 and Mathematics 251.
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• COSC 377: Hon:Intro/Scientific Computing

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Same as COSC 370 with additional honors project.Credit Restriction: Students may not receive credit for both Computer Science 377 and Mathematics 371.(RE) Prerequisite(s): 140 and Mathematics 251.
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• COSC 395: Junior Seminar

  1.00 Credits

  The University of Tennessee - Knoxville

  
  Presentations and discussions related to professional development, including registration, ethics, and current topics in computer science.Grading Restriction(s): Satisfactory/No Credit grading only.(RE) Prerequisite(s): 302 or 307.
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• COSC 401: Senior Design Theory

  2.00 Credits

  The University of Tennessee - Knoxville

  
  A design course that focuses the student’s attention on professional practice, ethics, accumulated background of curricular components, and recent developments in the field. The focus is on teaching both the design process and design principles that allow students to utilize all of the above elements to effectively create designs for major design projects. (RE) Prerequisite(s): 360.
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• COSC 402: Senior Design Practicum

  3.00 Credits

  The University of Tennessee - Knoxville

  
  A project-oriented course that requires teams of students to design a major project that incorporates the principles taught in 401. The design emphasis is directed to topics within the field of computer science.Satisfies General Education Requirement: (WC) (OC)(RE) Prerequisite(s): 401.
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• COSC 411: Senior Thesis I

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Frontiers of computer science technology and research. Students write a senior thesis. Writing-emphasis course.Registration Restriction(s): Minimum student level ― senior.
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• COSC 420: Biolog-Inspired Computation

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Recent developments in computational methods inspired by nature, such as neural networks, genetic algorithms, evolutionary programming, ant-swarm optimization, artificial immune systems, swarm intelligence, cellular automata, multi-agent systems, cooperation, and competition.Recommended Background: Completion of core courses.
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• COSC 421: Computation Cognitive Neurosci

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Survey of computational cognitive neuroscience. The focus is on the neuroscience of cognitive processes, including perception, categorization, memory, language, action, and executive control. Course work makes use of computer simulations of neural networks to model cognitive processes and to test hypotheses about their neural implementations.Credit Restriction: Students cannot receive credit for both 421 and 521.Recommended Background: senior standing.
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• COSC 422: Applied Machine Learning

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Machine learning (ML) concepts; ML techniques for practical applications. ML approaches and learning methods in modeling and prediction of complex systems. Data acquisition and preprocessing, training, classification and prediction, modeling tools, and postprocessing and evaluation.Credit Restriction: May not be applied toward the computer science or computer engineering majors.(RE) Prerequisites: COSC 111 or COSC 102; MATH 251 or MATH 257; MATH 241 or MATH 247; and ECE 313 or ECE317 or MATH 323 or STAT 251.Comment(s): Prior knowledge may satisfy prerequisites with consent of instructor.
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• COSC 423: Intro/Artificial Intelligence

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Foundational ideas and developments in artificial intelligence. Problem solving and search, knowledge representation and reasoning, decision-making under uncertainty, machine learning, and multi-agent systems.(RE) Prerequisite(s): COSC 302 or COSC 307 with a grade of C or better; MATH 251 or MATH 257 with a grade of C or better; and ECE 313 or ECE317 or MATH 323 with a grade of C or better.Comment(s): Prior knowledge may satisfy prerequisites with consent of instructor.
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