Events

Data Science Course: Scientific Computing for Planners, Engineers, and Scientists
Wednesday, April 3, 2019 - 9:00am to Wednesday, April 10, 2019 - 5:00pm

This summer, the Transportation Research and Education Center (TREC) at Portland State University is hosting a two-part data science course. You can register for one or the other– or attend both parts at a discount:

Data Science Course - Part 1: Introduction to Scientific Computing for Planners, Engineers, and Scientists

Data Science Course - Part 2: Intermediate Scientific Computing for Planners, Engineers, and Scientists

CLICK HERE TO REGISTER

Did you ever feel you are “drinking from a hose” with the amount of data you are attempting to analyze? Have you been frustrated with the tedious steps in your data processing and analysis process and thinking, “There’s gotta be a better way to do things”? Are you curious what the buzz of data science is about? If any of your answers are yes, then this course is for you.

Classes will all be hands-on sessions with lecture, discussions and labs. Participants can choose to sign up for one or both courses. For more information, download the syllabus (PDF).

Agenda: Part One - Introductory Course
  • Coding and scripting basics
  • Intro to data wrangling and visualizations
  • Version control
  • Best practices
Agenda: Part Two - Intermediate Course

 

  • Transforming, visualizing, and modeling data
  • Functions and iterations
  • Applications for communicating results
Cost
  • Intro (Part 1) - $350
  • Intermediate (Part 2) - $500
  • DISCOUNT: If you attend both Part One and Part Two - $750
Prerequisites for Introductory Course

Basic knowledge and experience working with quantitative data; experience and skills in a different programming language or data processing and statistical software is helpful but not required.

Prerequisites for Intermediate Course


To sign up for only the intermediate portion of the course (and skip the "Introduction to Scientific Computing) students need to:

  • Know the difference between a vector, matrix, and data frame and how to convert among each other; 
  • Know what apply() and %>% does; 
  • Have some experience using version control; some statistical knowledge is helpful and/or attendance to Part 1.
    Instructors

    Tammy Lee, Transportation Research and Education Center (TREC) at Portland State University

    Tammy is working on a variety of projects for TREC, including documentation, data synthesis, analysis, and visualization supporting ongoing work with PORTAL and Bike-Ped Portal. Tammy received a BS in Genetics & Plant Biology from UC Berkeley before earning a PhD in Environmental and Natural Resource Sciences from WSU. Prior to joining TREC she worked as a data scientist for a political digital media consulting firm. When not working she's either hiding in the forest or experimenting in the kitchen.

    Joseph Broach, College of Urban and Public Affairs (CUPA) at Portland State University

    Joe Broach's research projects include Incorporate Emerging Travel Modes in the Regional Strategic Planning Model (RSPM) Tool, Transferability & forecasting of the Pedestrian Index Environment (PIE) for modeling applications, and Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes.

     
    Professional Development

    This course is eligible for 35 hours of professional development credit for AICP (see our provider summary). We can provide an electronic attendance certificate for other types of certification maintenance.

    This course was developed as part of a NITC education project: Introduction to Scientific Computing for Planners, Engineers, and Scientists

    Requests for reasonable accommodations may be made to Conference & Events Office, (503) 725-CONF, email: conferences@pdx.edu or the Disability Resource Center, (503) 725-4150, e-mail: drc@pdx.edu. In order to ensure that reasonable accommodations can be provided in time for this event, please make your requests as soon as possible.