NSIA 890 (M1) - National Security Quantitative Research Design and Analysis II

NATSEC Quantitative Res II

Credits: 3.0
Term: Fall 2022 - E-term I (08/15/2022 - 10/07/2022)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 16442
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Only listed majors in section: NAT SEC INT ANL
Attributes: Online (no campus visits), EUNH
Instructors: Katharine Cunningham

Times & Locations

Start Date End Date Days Time Location
8/15/2022 10/7/2022 Hours Arranged ONLINE