Teaching & Training

Teaching

DATA-R 322: Principles of Data Science

Course Description: Study of core concepts in data science in the liberal arts, including predictive modeling using machine learning and data mining; data gathering, extraction and cleaning; and exploratory data analysis.  Course emphasizes practical skills for liberal arts students to examine questions of human behavior using large and complex data sets.

Semesters Taught:

  • FA 2023
  • FA 2021
  • FA 2020

DATA-R 485: Statistical Modeling in R

Course Description: Focuses on statistical methods for practical data analysis, including parametric and non-parametric analyses, ANOVA, multiple and logistic regression, generalized linear models, and dimension reduction methods using R to examine and understand human behavior.  Students will conduct a research project that delivers actionable outcomes.

Semesters Taught:

  • SP 2024
  • SP 2021


URBAN 345: Data Visualization

Course Description: Introduces students to cutting-edge data visualization tools and techniques and their usage in improving organizational decision making and civic engagement processes. Students develop knowledge and skills in the reading and critiquing data presentation strategies and consider the ethics of visual images in the urban policy and community development realm.

Semesters Taught:

  • FA 2024
  • SP 2022

ITM 430: Predictive Analytics

Course Description: Topics include problem definition, data preparation, and the use of analytic techniques to solve business problems. Modeling techniques will focus on predictive analytics utilizing both data and text. This is a service learning course - students apply predictive analytic techniques to projects designed in collaboration with community partners.

Semesters Taught:

  • SP 2024


SPS 240: Data in Public Service

Course Description: Introduces essential concepts of applied research, data collection, data analysis, and communication of results. Develops familiarity with relevant public databases and community evaluation. Explores common research fallacies and their connection to ethics of public service.

Semesters Taught:

  • SP 2023

Trainings

Idaho Certified Public Manager (CPM) Program: Policy Analysis & Survey Design Training

Two-day workshop:

Day one focuses on the public policy process, answering the questions: What is policy? Who makes it? Emphasis on informed decisions, ethics, transparency, and Bardach’s eightfold path for policy analysis.

Day two focuses on understanding survey methods, including design, audience, questions, bias, and weighting, with the objective of collecting reliable, valid responses in order to inform decisions and actions.

Years Taught:

  • 2024
  • 2022