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

NATSEC Quantitative Res II

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
Class Size:   20  
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.
You must sign up in the Dept Office before registering 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