Moodle for courses instructed by Dr. Gray

Course categories

Available Courses

• Computer Systems

  

  Survey of issues in computer system analysis and design. Topics include single-processor, multi-processor, and networked architectures. Emphasis on relationship between system hardware and software.
• Networking

  

  Network architectures and communication protocol standards. Topics include communication of digital data, data-link protocols, local-area networks, network-layer protocols, transport-layer protocols, applications, network security, and management.
• System Security

  

  Topics include the need for security services, basics of cryptology, historical ciphers, public key paradigms, hardware and software implementations, and standard protocols used for securing mail, web, and electronic commerce.
• Operating Systems

  

  History and evolution of operating systems; process and processor management; primary and auxiliary storage management; performance evaluation, security, and distributed systems issues; and case studies of modern operating systems. Prerequisite(s): 810:041; 810:052 or 810:065; junior standing.
• System Administration

  

  Major concepts and mechanisms associated with computer system administration. Focus on issues surrounding user management, the configuration of services, and the coordination of distributed resources. Prerequisite(s): 810:147; junior standing.
• Environment Technology & Society

  

  Emphasis on relationships and interactions of physical, biological, technological, and cultural components of environment. Study of selected interdisciplinary problems. Elaborates on student's previous university experience and develops environmental literacy.
• Environment Technology & Society (Spring 2010 materials)

  

  Emphasis on relationships and interactions of physical, biological, technological, and cultural components of environment. Study of selected interdisciplinary problems. Elaborates on student's previous university experience and develops environmental literacy.
• Computational Modeling and Simulation

  

  Explores computational approaches to solviing complex problems using computational tools and dynamic and discrete simulations. Topics include problem representation, modeling, simulation, and model/simulation validation, with applications in the sciences, social sciences, and business.
• CS 1: Introduction to Computing

  • Teacher: Paul Gray

  

  Introduction to software development through algorithmic problem solving and procedural abstraction. Programming in the small. Fundamental control structures, data modeling, and file processing. Significant emphasis on program design and style.
• BASH programming

  

  Learning the Bourne-again shell programming language
  

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