KSAWorks
KSAWorks
Knowledge • Skills • Abilities
University of Virginia's College at Wise · Courses

DSC

3 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

DSC 3500Data Analytics and Modeling3

Credit(s) 3 This course prepares students to identify, describe, evaluate, and analyze data within the realm of “Big Data” in order to understand the emerging role of analytics in organizations. A focus on how to use data to develop insights and predictive capabilities using machine learning, data mining, and forecasting techniques will be essential concepts. Topics will include probability, statistics, hypothesis testing, regression, clustering, decision trees, and forecasting. Cross-listed with ISC 3500 and MIS 3500 . Prerequisites MTH 2180 or STA 2180 or BIO 2025 or MTH 3250

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
Credit(s)
Type
course
Repeatable
Repeatable: Yes
Edition
2026-2027
Catalog
2026-2027 UVA Wise Catalog
Source
uvawise.catalog.acalog.com
DSC 4350Cloud & Collaboration Computing3

Credit(s) 3 The course presents a top-down view of cloud computing, from applications and administration to programming and infrastructure. Topics include: overview of cloud computing, cloud systems, parallel processing, distributed storage systems, virtualization, security, and multi-core operating systems. Students will study popular cloud solutions (Google, Amazon, Microsoft, etc). Students will apply what they learn in projects and programs executed with Amazon Web Services. Cross-listed with ISC 4350 and MIS 4350 . Prerequisites CSC 2180 or CSC 2240 with a C or better

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
Credit(s)
Type
course
Edition
2026-2027
Catalog
2026-2027 UVA Wise Catalog
Source
uvawise.catalog.acalog.com
DSC 4500Data Visualization3

Credit(s) 3 The course will introduce a general methodology to design effective visualizations. Students will design, build, and evaluate visualizations for different types of data, disciplines, and domains. Focus will be on non-spatial data and their inherent visualization requirements. Focus also on industry standards and applied techniques in practical scenarios. No graphics background is assumed or required. Cross-listed with ISC 4500 and MIS 4500 . Prerequisites MTH 2180 or STA 2180 or BIO 2025 or MTH 3250

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
Credit(s)
Type
course
Edition
2026-2027
Catalog
2026-2027 UVA Wise Catalog
Source
uvawise.catalog.acalog.com

Source: University of Virginia's College at Wise's catalog, linked per course · table learning_unit · CourseShelf publish 59