The Graduate Certificate in Abstracts Science Foundations recognizes adequacy in abstracts science techniques including predictive modeling, abstracts mining, advice management, and abstracts analytics.
It is accepted that acceptance gluttonous acceptance in this affairs will accept acceptable basal abilities and bent in computer programming, statistical analysis, advice systems, and databases. The appropriate basal abilities may accept been acquired through bookish academic qualifications, assignment experience, or a aggregate of the two.
UN 5550 – Introduction to Abstracts Science
Introduces concepts and abilities axiological to Abstracts Science including: accepting data, abstracts wrangling, basal abstracts analysis, basal statistics, abstracts visualization, abstracts modeling, and learning. The advance introduces abstracts science from altered perspectives: computer science, mathematics, business, engineering, and more.
Two courses from the account of three courses charge be selected:
BA 5200 – Advice Systems Administration and Abstracts Analytics
Focuses on administration of IS/IT aural the business environment. Topics accommodate IT basement and architecture, authoritative appulse of innovation, change management, human-machine interaction, and abreast administration issues involving abstracts analytics. Class architecture includes lecture, accumulation discussion, and commutual case studies.
CS 5831 – Advanced Abstracts Mining
Data mining focuses on extracting ability from ample abstracts sources. The advance covers abstracts mining concepts, alignment (measurement, evaluation, visualization), algorithms (classification/regression, clustering, affiliation rules) and applications (web mining, recommender systems, bioinformatics).
MA 5790 – Predictive Modeling
Application, construction, and appraisal of statistical models acclimated for anticipation and classification. Topics accommodate abstracts pre-processing, over-fitting and archetypal tuning, beeline and nonlinear corruption models and beeline and nonlinear allocation models.