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Research Services

information technology services

Tutorials and Workshops

Research Services offers tutorials and workshops on a variety of topics.  Each semester, we present a series of tutorials.  If you have suggestions, please contact us (researchservices@bc.edu).  We will also give customized tutorials, and we are  available for advanced topics and consulting. 

The tutorials are available to all members of the BC community.  There is no cost for the tutorials.

To register, please go to our on-line tutorial registration page at: capricorn.bc.edu/tutorials.  You will be asked to sign in using your BC username and password to register.  You can also use this web page to change the tutorials you signed up for.  You can also register by sending mail to researchservices@bc.edu with the names of the tutorials that you are interested in attending.

Please note that the locations of the tutorials varies.

The Spring 2014 Tutorials

Title

Date 

Location

Introduction to Regression Jan 21 12:00 - 1:30 Carney 33
MATLAB 1:Introduction Jan 27 2:00 - 3:30 O'Neil 245
Introduction to the Linux Clusters Jan 29 12:00 - 1:30 O'Neil 245
MATLAB 2: Matrices Jan 31 11:00 - 12:30 O'Neil 245
Introduction to R Feb 4 1:30 - 3:00 O'Neil 245
MATLAB 3: Graphs and Visualization Feb 3 11:00 - 12:30 O'Neil 245
MATLAB 4: Introduction to Statistics Feb 5 11:00 - 12:30 O'Neil 245
Creating Web-based Surveys with Qualtrics Feb 5 12:00 - 1:30 Carney 33
Introduction to GaussView and Gaussian Feb 19 12:00 - 1:30 O'Neil 245
Introduction to Moderating Variables/interactions Feb 19 12:00 - 2:00 Carney 33
Taking Care of Your Data for the Social Sciences Feb 27 1:00- 2:15 O'Neill 307
Taking Care of Your Data for the Sciences Feb 27 4:00 - 5:15 O'Neill 307
Introduction to Mixed Modeling Mar 11 12:00 - 1:30 Carney 33
Introduction to Atlas.ti 7 Mar 12 12:00 - 1:30 Carney 33
Microsoft Access Mar 13 10:30 - 11:30 O'Neill 307
Locating and Using Data for Secondary Research Mar 13 12:00 - 1:30 O'Neill 307
Data Extraction and Transformations Mar 20 12:00- 1:30 Carney 33
Stata 1: Descriptive Analysis Apr 10 12 :00- 1:30 Carney 33
Stata 2: Regression Analysis Apr 11 12:00- 1:30 Carney 33
Stata 3: Panel Data Analysis Using Stata Apr 17 12 :00- 1:30 Carney 33