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Southwest Virginia Community College

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CAMPUS ASSISTANCE

Information Switchboard - 276-964-2555
Campus Police Emergency Contact - 276-964-7503
Non-Emergency Campus Police - 276-964-7221
Media Contact: 276.964.7332

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Published policy, procedures and data regarding campus safety & security, information security and other information of interest to the public.

Consumer Info

Southwest Virginia Community College and the Virginia Community College System (VCCS) provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, political affiliation, veteran status, sexual orientation, gender identity or other non-merit factors. Inquiries may be directed to 276-964-7338 or greg.steiner@sw.edu. Report an Incident

All opinions expressed by individuals purporting to be a current or former student, faculty, or staff member of this institution, on websites not affiliated with Southwest Virginia Community College, social media channels, blogs or other online or traditional publications, are solely their opinions and do not necessarily reflect the opinions or values of Southwest Virginia Community College, the Virginia Community College System, or the State Board for Community Colleges, which do not endorse and are not responsible or liable for any such content.

USPS:
P.O. Box 1101, Richlands, VA 24641
Phone: (276)964-2555

UPS/FEDEX:
Physical Plant 724 Community College Road, Cedar Bluff, VA 24609

Southwest Virginia Community College

2026-2027 Catalog

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Aug 07, 2026

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2026-2027 Catalog

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ITE 195: Topics in Applied Artificial Intelligence and Data Analytics

3 Credits

Lecture hours per week: 3
Laboratory hours per week: 0

This course focuses on applied data analytics using artificial intelligence tools and Microsoft applications. Students will learn to collect, analyze, and interpret data through hands-on projects that integrate AI-driven insights with Excel and other Microsoft tools. Emphasis is placed on practical applications, including predictive analytics, data visualization, and decision-making strategies to prepare students for data-driven roles in business and industry.

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