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Class Listing

Component overview

The Class Listing Component uses a .xml file to generate a listing of classes by term, student type, and subject.

Example #1

Example Class Listing Component utilizing an external file.

Online Class Listings

The University of ÁùºÏ±¦µä, Reno offers a variety of online classes during the spring, summer, and fall terms.

Need help finding a class?

Use the options below to further refine your search

Class List Results

CS 601 - Fundamentals Comp Sci

Computers, programming, data structures, Boolean logic, organization, programming languages, and algorithm analysis. This course cannot be used for graduate credit in computer science.

Computers, programming, data structures, Boolean logic, organization, programming languages, and algorithm analysis. This course cannot be used for graduate credit in computer science.
Term Type Class Number Credits Start Date End Date Instruction Mode Instructor
2025 Spring Graduate 31367 3 01/21/2025 04/27/2025 Web Based (Asynchronous)

CS 646 - Princ Comp Op Syst

Concurrent processes, interprocess communication, processor management, virtual and real memory management, deadlock, file systems, disk management, performance issues, case studies. Practical experience with UNIX.

Concurrent processes, interprocess communication, processor management, virtual and real memory management, deadlock, file systems, disk management, performance issues, case studies. Practical experience with UNIX.
Term Type Class Number Credits Start Date End Date Instruction Mode Instructor
2025 Spring Graduate 31364 3 01/21/2025 04/27/2025 Web Based (Asynchronous)

CS 703 - Game Theory for Cybersecurity

Understanding and modeling the design and implementation of game theoretic mechanisms to counteract the challenges in cybersecurity and make cyberspace more efficient.

Understanding and modeling the design and implementation of game theoretic mechanisms to counteract the challenges in cybersecurity and make cyberspace more efficient.
Term Type Class Number Credits Start Date End Date Instruction Mode Instructor
2025 Spring Graduate 32408 3 01/21/2025 04/27/2025 Web Based (Asynchronous)

CS 704 - Digital Forensics

Students will learn, through a hands-on approach, how to identify, extract, analyze and report on data contained in various digital devices, and will utilize forensic tools and methodologies to solve real world project scenarios.

Students will learn, through a hands-on approach, how to identify, extract, analyze and report on data contained in various digital devices, and will utilize forensic tools and methodologies to solve real world project scenarios.
Term Type Class Number Credits Start Date End Date Instruction Mode Instructor
2025 Spring Graduate 32409 3 01/21/2025 04/27/2025 Web Based (Asynchronous)

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