Course Description:
This workshop reviews basic statistics and analytical/visualization techniques focused on publicly available data related to public works administration. Foundational and advanced statistical analysis technique concentrating on how to access, manage, and analyze datasets to support public works administration.

Content Covered:

1. Descriptive statistics review
2. Inferential statistics review
3. Publicly available data sources related to public works administration (PWA)
4. Data analysis and visualization techniques for PWA
5. How to apply AI in PWA

Intended Audience:
State DOT engineers and analysts, MPO and county transportation planner, public works professionals, traffic operations and safety engineers, and data analysts working with transportation/public works datasets

Pre-Requisites:
None

Credits:
6.5 PDH; CPWM 2 Management, 2 Technical, 2.5 Information Technology Contact Hours

Instructor:
John McFadden, PhD, PE – PE Services, LLC

Sponsor:
This workshop is sponsored by the Federal Highway Administration and New Jersey Department of Transportation through the New Jersey Local Technical Assistance Program.

Registration Confirmation Email:
After registering, a confirmation email will be sent to the email address you provided. If you cannot locate the registration confirmation in your Inbox, check your Spam or Junk folder as it is sometimes re-directed there. Please contact our registrar (caitregistrar@soe.rutgers.edu) for assistance should you continue to experience any issues.

University Smoking Policy:
Rutgers University is dedicated to ensuring a safe and healthy environment for students, staff, visitors, and guests. The use of any tobacco or tobacco-related products, including E-cigarettes, is not allowed on any University-owned, operated, leased, occupied, or controlled property. Consequently, smoking is not allowed outside the CAIT building. Individuals who breach this updated policy will be requested to vacate the premises.