• CSC 5901: Special Topics

  1.00 Credits

  Tennessee Technological University

  
  Prerequisite: Consent of instructor. Timely topics in computer science. May be taken multiple times, provided the topic is different.
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• CSC 5902: Special Topics

  2.00 Credits

  Tennessee Technological University

  
  Prerequisite: Consent of instructor. Timely topics in computer science. May be taken multiple times, provided the topic is different.
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• CSC 5903: Special Topics

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: Consent of instructor. Timely topics in computer science. May be taken multiple times, provided the topic is different.
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• CSC 6220: Data Mining

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: CSC 4240 (5240) or consent of instructor. Preparing data for mining using preprocessing, data warehouses, and OLAP; data mining techniques, including association rule mining, classification/prediction and cluster analysis; study of recent techniques and issues.
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• CSC 6230: Machine Learning

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: CSC 4220 (5220) or CSC 4240 (5240). Introduction to machine learning techniques, such as decision tree induction, k-nn classifiers, and clustering. Emphasis on supervised learning, including classification techniques, feature selection, and evaluation techniques. Unsupervised and reinforcement learning will also be covered.
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• CSC 6240: Math/Theory-Machine Lrning

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: CSC 4400 (5400 or consent of instructor. The purpose of this course is to gain a deeper understanding of the foundational mathematics and theory of machine learning. We will cover a number of mathematical topics that underpin the thinking behind and implementation of machine learning, including topics from linear algebra, probability & statistics, multivariate calculus, information theory, algorithmic analysis, and algorithmic complexity. This includes mathematical frameworks for learning, algorithms for learning concept classes, with an emphasis on proving bounds on the resources (time, space, sample complexity) required by these algorithms, and methods for proving the intractability of certain learning tasks.
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• CSC 6250: Knowledge-Based/Expert Systems

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: CSC 5240 or consent of instructor. Knowledge-based systems and logic programming, methods of knowledge representation, and inference. Applications to expert systems and intelligent data bases.
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• CSC 6300: Advanced Database Systems

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: CSC 4300 or consent of instructor. Advanced concepts in designing database applications, techniques for data storage and retrieval in large databases, etc.
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• CSC 6320: Adv Computer Architecture

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: CSC 4100, CSC 4320, or consent of instructor. Analysis and design of large-scale computer systems, such as pipelined and vector architectures, etc.
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• CSC 6400: Adv Analysis of Algorithms

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: CSC 4200/5200 and CSC 4400/5400. Crawling, searching, caching, and other algorithms for solving major problems on the Internet, with an emphasis on formal techniques.
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