NATSEC Quantitative Res II
Manchester
UNH-Manchester :: Nat Sec Intel Analysis
Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:
20
CRN: 56859
CRN: 56859
In this course students will develop a data science tool kit they may use to investigate research questions. The methodological approaches students will be exposed to include linear regression, classification, resampling methods, linear model selection, tree-based methods, unsupervised learning, and network analysis. Ethical approaches to the use of data science are reviewed in this class.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed majors in section: NAT SEC INT ANL
Instructors: Katharine Cunningham
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
3/21/2022 | 5/12/2022 | Hours Arranged | ONLINE |