PHP 985A (M2) - Special Topics in Policy and Management

SpcTop/Health Data Mining&Modl

Manchester   Health & Human Services :: Public Health
Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Summer 2022 - E-term V (05/23/2022 - 07/15/2022)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 71045
Study of a special topic in Public Health Policy and Management. Prereq: permission.
Section Comments: Contact Dr. Pamela Thomas at pamela.thomas@unh.edu for permission
See instructor for permission then sign up in the dept office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 3 credits.
Instructors: Bogdan Gadidov

Times & Locations

Start Date End Date Days Time Location
5/23/2022 7/15/2022 Hours Arranged ONLINE
Additional Course Details: 

This class teaches students foundations of applied health data mining and machine learning in Python.  Upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, Bayesian models, support vector machines, survival analysis and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: HDS 800 or equivalent (PHP 903, DATA 800, other stats), HDS 802 or DATA 820.