Workshop: Computer Science for the Social Scientist
Date, Time and Location OfferedMonday August 13, 2018 – Friday August 17, 2018
9:00 AM – 12:00 PM (3 hours/day)
Room 256, Arts Building (SSRL)
This introductory workshop is designed to introduce the very basics of computer programming to the social scientist. Through a social science lens, participants will explore introductory programming concepts using free and flexible software. Attendees will gain hands-on experience as they are guided through the creation of a simple psychology experiment, a basic economic simulation task, and a general data file restructuring program. Participants will learn to identify when and how computer programming can help them to do their work, and how to apply the concepts they learn to their own research projects. By the end of this workshop, registrants will have an actionable skillset and a foundation to build on as they continue to learn and advance their skills in the social sciences.
Students (undergraduate and graduate), staff and faculty who have little or no experience with computer programming, and would like to learn how it can help them in their research.
Note: Following each session, short homework assignments may be provided. Coffee and refreshments will be provided each day at 8:45AM.
Chris Dutchyn, Faculty Member in Computer Science
There is no cost to attend; however, we do require a $50.00 deposit to ensure your attendance. Deposits will be returned after successful attendance of all five sessions.
Registrations are no longer being accepted as the workshop is full.
Please watch our website for future offerings of this and other workshops.
PLEASE NOTE: DEPOSIT REFUNDS WILL NOT BE ISSUED UNDER ANY CIRCUMSTANCE OTHER THAN YOUR ATTENDANCE AT YOUR REGISTERED WORKSHOP. ONCE YOU HAVE PROVIDED YOUR DEPOSIT TO THE SSRL, IT WILL ONLY BE REFUNDED TO YOU AFTER YOUR ATTENDANCE OF ALL FIVE DAYS AT YOUR REGISTERED WORKSHOP. DEPOSITS ARE NOT TRANSFERABLE, SO PLEASE ENSURE YOU INTEND TO SHOW UP FOR THE WORKSHOP FOR WHICH YOU HAVE REGISTERED, OTHERWISE YOU WILL FORFEIT YOUR DEPOSIT. PLEASE COME TO THE SSRL GENERAL OFFICE IN LOCATED IN ROOM 260, ARTS BUILDING TO RECEIVE YOUR RETURNED DEPOSIT AFTER YOU HAVE ATTENDED THE FINAL WORKSHOP SESSION.
The SSRL offers regularly-scheduled training in NVivo 12 Pro for Windows.
The two-hour introductory NVivo 12 Pro for Windows training session utilizes a hands-on approach with a sample data set. The instructor introduces users to working with data in NVivo (importing, opening, and organizing various file types), guides learners through exploring and coding data in order to analyze for themes, and demonstrates novel program features. This workshop is most helpful for beginners or those who would like a refresher on how to manage and categorize data in order to enhance their thematic analysis skills and gain overall insight as to how NVivo for Windows is used in qualitative research.
Registration is open to all University of Saskatchewan faculty, students and staff, and employees of government, non-governmental organizations and community-based organizations. Registrations are processed on a first-come, first-served basis.
$50.00 plus GST. A cancellation fee of $20.00 plus GST is assessed if canceled at least one week prior to the session. Refunds will not be issued if canceled within one week of the session.
- Wednesday, August 22, 2018, 1:30 PM - 3:30 PM
- Thursday, September 27, 2018, 1:30 PM - 3:30 PM
- Friday, October 26, 2018, 1:30 PM - 3:30 PM
- Tuesday, November 27, 2018, 1:30 PM - 3:30 PM
- Wednesday, December 12, 2018, 1:30 PM - 3:30 PM
All sessions are held in the Education Building, Room 1037.
For more information, please contact the course instructor, Rachel Tang at email@example.com or (306) 966-6319.
SSRL YouTube Channel
The SSRL YouTube Channel features new and archived videos from select SSRL workshops, lectures and events.
Social Network Analysis Discussion Group
Organized by our Social Network Laboratory (SNL), the Social Network Analysis Discussion Group was established to bring together faculty, students and the general public who have experience or an interest in exploring and studying social networks. Through a monthly discussion series, we hope the discussion group will help to build and enhance community, collaboration, and knowledge and awareness of social network analysis, covering areas that range from basic research on social networks to advanced methods of network analysis.