IS 497 IMO - Topics in Data Analyt&Data Sci - Interdisc Meth Research Comput
Variety of newly developed and topics courses within Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: Additional fees may apply. See Class Schedule. 2 to 4 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.
Interdisciplinary Methods in Research Computing addresses technical and soft skills in managing computer-based research. Relevant to both technical and newly technical student researchers from disciplines across campus. This course will cover data management; process management and task automation; and research project management. Topics include data organization in spreadsheets, document revision control, data visualization, robust testing strategies, and reproducibility. Meets with ENGR 498 IM.
Option 1Number of Required Visit(s): 0
Course Level: Graduate