Online Courses
The classes listed below are offered entirely online without scheduled remote class meetings. They are asynchronous classes, meaning you’ll be able to complete coursework without attended required class meetings.
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EDUC 519U Working with English Learners
Course OfferingsDescription
Laura KutiCRN: 13933 (section: pd1)
Semester hours: 3
Fee: $1,000Online. No scheduled class sessions. Teachers seeking professional development only.
This course expounds on the instructional strategies and assessment options for engaging English Learners (ELs). It also explores the impacts of culture, linguistics, and language learning principles on ELs through in-depth study and reflection.
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EDUC 543U Assessment and Evaluation in Education
Course OfferingsDescription
Laura KutiCRN: 11168 (section: pd1)
Semester hours: 3
Fee: $1,000Online. No scheduled class sessions. Teachers seeking professional development only.
Introduction to testing, measurement, and evaluation related to instruction, the construction and use of teacher-made tests, a survey of standardized tests, test interpretation, and basic statistical procedures.
PrerequisitesEDUC 542U
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ISYS 302U Local Area Networks
Course OfferingsDescription
Anthony BurrussCRN: 12605 (section: 01)
Semester hours: 3
Fee: $1,866Online. No scheduled class sessions.
Junior-level course on concepts of shared and switched media local area networking including Ethernet (802.3), and Wireless (802.11). Topics include LAN definition, use, topologies, media, standards, network interface cards, protocols, repeaters, hubs, bridges, switches, and routers. Discussions include network design, the OSI Model, design rules, component selection, administration, management and TCP/IP. Students may present research projects on various networking topics.
PrerequisitesCollege writing and mathematics and foundation course work or experience in IT.
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ISYS 307U Fundamentals of Data Literacy
Course Offerings Description
Introduction to the essential concepts, skills, and tools needed to understand, interpret, evaluate, and effectively communicate with data. Focuses on fundamental statistical concepts, data visualization techniques, and basic data analysis. Emphasizes practical applications across disciplines.
PrerequisitesKnowledge of basic applied statistics recommended but not required.
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ISYS 398U Selected Topics: Generative AI
Course Offerings Description
Description TBA.