Spring 2016 Classes in Methodology
If you have a question about a specific course, please contact the instructor of that course directly. If you have a general question about the suite of one-credit methodology courses, please contact Bethany Bray.
For more information about the one-credit courses, please see our frequently asked questions:
BB H 597C: Introduction to Time-Varying Effect Modeling
Schedule Number: 661951
Instructor: Dr. Sara Vasilenko
Credits: 1
Course Dates: March 28 - April 25
Time and Location: Mondays, 9:30 AM - 12:00 PM in 113A Chambers Bldg
Prerequisites: (1) three semesters of graduate-level statistics for the social and behavioral sciences. Basic familiarity with SAS is helpful, but not a prerequisite.
Course Description: The goal of this short course is to help you gain the background and skills to be able to identify and address new research questions using time-varying effect models. Application of these models to examine time-varying effects using intensive longitudinal data such as ecological momentary assessments, as well as age varying effects using cross-sectional and panel data, will be introduced.
HD FS 597B: Mining the Internet with Python
Schedule Number: 640195
Instructor: Dr. Timothy Brick
Credits: 1
Course Dates: January 11 - April 29
Time and Location: Thursdays, 11:15 AM - 12:15 PM; 113A Chambers Bldg
Prerequisites:
Course Description: This class will be a soft introduction to programming using the Python programming language intended for students with little or no programming experience. Through lecture, course assignments, and code reviews, students will build up a basic understanding of programming concepts, and a familiarity with basic simple tasks using the Python language. Examples will be designed to focus on extracting and processing text and image data from Internet sources such as web pages, and social media. No previous programming experience is required.
Register through the Office of the Registrar. View the schedule of courses.