• CSC 3220: Fundamentals of Data Science

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: MATH 2010, MATH 3070 or MATH 3470 or MATH 4470, CSC 3300, and C or better in CSC 1310 or both of CSC 2110 and CSC 2111. Introduction to the tools and techniques for developing data science applications and to the basics of Data Science including programming for data management, data manipulation, data analytics, and data visualization. Students will be introduced to various machine learning algorithms, and learn to formulate context-relevant questions and hypothesis to drive scientific research and understand statistical inference. Students will be introduced to Python and R, and will be expected to create tools using these programming languages. The foundation is laid for big data applications ranging from fraud detection to healthcare informatics. CSC 3300 may be taken concurrently.
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• CSC 3230: Healthcare Data Analytics

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: MATH 3070 or MATH 3470 and 'C' or better in CSC 2400. Co-requisites: None. Introduction to healthcare data analytics. High level topics include healthcare data and data courses (including both electronic health records and genomic data), techniques for healthcare data analytics, applications of healthcare analytics, integration of analytics applications into clinical workflow, evaluation of analytics applications, and legal and ethical issues in healthcare data analytics.
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• CSC 3300: Database Mgmt Systems

  3.00 Credits

  Tennessee Technological University

  
  Prerequisite: Junior standing and C or better in CSC 1310 or both CSC 2110, and CSC 2111. Organization and management of large data files; data definition; database models; query languages; crash recovery; concurrency control; and case studies.
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• CSC 3340: Deterministic Computer Models

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: C or better in CSC 1310 or both CSC 2110 and 2111; and MATH 2010. Formulation and application of the models of linear, non-linear, integer, and dynamic programming including computer solutions of the algorithms.
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• CSC 3350: Probalistic Computer Models

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: MATH 3470. Stochastic models of queuing, game, inventory, and decision theory with computer solutions in algorithmic form and by digital simulation.
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• CSC 3410: Comp Org/Assemb Lang Prog

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: C or better in CSC 1310 or both CSC 2110 and 2111. Computer organization and architecture; machine language; and assembly language programming techniques
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• CSC 3450: Intro to Artificial Intell

  3.00 Credits

  Tennessee Technological University

  
  No course description available.
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• CSC 3500: Systems Program Lab

  1.00 Credits

  Tennessee Technological University

  
  No course description available.
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• CSC 3570: IT Security

  3.00 Credits

  Tennessee Technological University

  
  Prerequisites: C or better in CSC 2500 or CSC 2510, and CSC 2570 or CSC 4200(5200). An overview of various technical and administrative aspects of Information Security. Introduces students to assets in typical IT infrastructure, potential threats to assets, common associated vulnerabilities, protection of assets, and response to security incidents.
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• CSC 3710: Foundations/Computer Science

  3.00 Credits

  Tennessee Technological University

  
  C or better in CSC 1610 or CSC 2700; and C or better in CSC 1310 or both CSC 2110 and CSC 2111. Application of discrete structures to model computational processes; techniques for analysis of algorithms; and automata and concepts of language theory. CSC 1310 or both of CSC 2110 and 2111 may be taken concurrently.
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