Skip to main content

Secondary navigation:

Summer 2014 Tutorials

Information Technology Services

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 Summer2014 Tutorials are:

Title
Date 
Location
MATLAB 1: Introduction to MATLAB programming Jun 16 2:30 - 4:00 O'Neill 245
Introduction to Regression Jun 17 12:00 - 1:30 O'Neill 245
MATLAB 2: Graphs and Visualization Jun 17 2:30 - 4:00 O'Neill 245
Introduction to Microsoft Access Jun 19 10:30 - 11:30 O'Neil 245
Introduction to GIS Jun 20 10:30 - 12:00 O'Neill 245
Introduction to Mixed Modeling Jun 24 12:00- 1:30 Campion 131
Creating Web-based Surveys with Qualtrics Jun 25 12:00 - 2:30 Carney 33B
Introduction to R Jul 8 12:00- 1:30 Campion 131
Introduction to the Linux Cluster Jul 8 12:00 - 1:30 Carney 033B
Introduction to Atlas.ti Jul 17 12:00 - 2:00
Campion 131
Introduction to GaussView & Gaussian Jul 18 12:00 - 1:30 Campion 131
Introduction to Stata: Descriptive Analysis Jul 23 12:00 - 1:30 Carney 33B
HyperRESEARCH for Qualitative and Mixed Methods Research Jul 22 12:00 - 2:30 Carney 33B
Introduction to REDCap Jul 24 12:00 - 2:30 Carney 33B

Creating Web-based Surveys with Qualtrics

Qualtrics offers a fairly intuitive Graphical User Interface to create complex surveys without complicated programming or coding.   Qualtrics offers extensive documentation, free online tutorials, an extensive library of surveys and options for encryption and anonymity, and excellent customer support. A strength of Qualtrics is its panel feature for repeated polling, build in social media sharing functions, and accessibility checker. Working within pre-defined templates, you can use many different types of questions, including text, multiple checkboxes, sliders, single-answer radio buttons, Likert scales.  Qualtrics offers extensive branching functionality.

Once the survey is completed, data can be downloaded into a format that can be used with a variety of quantitative and qualitative analysis programs. Qualtrics also offers foreign language functionality.

This tutorial will demonstrate how to create a survey in Qualtrics and also include a section on research protections and informed consent with respect to online survey development, distribution, and analysis.

During the optional last hour (from 1:30 to 2:30) of the tutorial, attendees are welcome to share specific surveys that they are working on or begin to create their own Qualtrics survey. More experienced Qualtrics users do not need to attend the first hour and a half of the workshop.

BC’s School of Arts & Sciences, CSON, CSOM, LSOE, and GSSW have purchased annual Qualtrics licenses that are available for use by faculty, staff, and students in those schools. BC community members not in those schools may also register for a limited free Qualtrics account at qualtrics.com.

June 25, 2014  12:00 -  2:30 pm   Carney 33B

Introduction to Atlas.ti

Atlas.ti is a software package for the analysis of qualitative data. It is useful for smaller projects but also particularly useful on large projects that require collaboration between multiple sites and multiple coders. Dr. Ricardo Contreras, Director, Atlas.ti Americas, Training and Partnership Development will demonstrate the way that Atlas.ti sofware facilitates the methodological journey of qualitative research projects.

Dr. Contreras will:

  • Demonstrate the V7 Interface
  • Demonstrate tools for the management of qualitative analysis projects in V7
  • Demonstrate and discuss the latest innovations in Atlas.ti

Rani Dalgin from Research Services will be there to assist in answering questions and scheduling follow up consultations.

July 17, 2014  12:00 - 2:00 pm Campion 131

Introduction to GaussView & Gaussian

GaussView is a graphical use interface (GUI) designed to be used with Gaussian to make calculation preparation and output analysis easier, quicker and more efficient. Gaussian is one of the most popular and widely used electronic structure programs and powerful computational chemistry package. It can predict properties of molecules and reaction.

This tutorial will cover:

  • Overview of computational chemistry application in BC
  • Basic Linux Cluster knowledge
  • History of Gaussian and Gaussian View
  • Gaussian View and Gaussian Capabilities
  • How to access and use Gaussian View at BC clusters
  • Input file preparation and keyword specification for Gaussian
  • Running Gaussian 09 at cluster

July 18, 2014 12:00 - 1:30 pm Campion 131

Introduction to Geographic Information Systems

Geographic Information Systems (GIS) are used for visualizing, managing, creating, and analyzing geographic data. Such applications are widely used in academia, private industry and government agencies. Available GIS technologies are used to perform various tasks, from simple to advanced, including:  mapping, geographic analysis, geostatistics, data editing, compilation, management and visualization.

This session will introduce users to:

  • GIS data and technical support at Boston College
  • Examples and demos using Census and Environmental data
  • Options to get data and training will be also discussed. No prior knowledge of GIS is required.

June 20, 2014   10:30  – 12:00 pm  O’Neill 245

Introduction to the Linux Cluster

This tutorial is intended to be an introduction to the Linux cluster at Boston College. An overview, the primary components, philosophy, how to connect and apply BC’s Linux cluster will be presented.  Currently we have two clusters (Scorpio and Pleiades) available.

This hands-on tutorial covers the following topics:

  • Overview of two Linux cluster system at Boston College
  • The hardware/software architecture 
  • Management of Linux Cluster
  • How to set your local machine and access of BC clusters
  • Linux, PBS queuing system common commands
  • Basic Linux common
  • How to submit jobs to clusters
  • Compile, debug and run programs

July 8, 2014 12:00 - 1:30 pm Carney 033B

Introduction to Microsoft Access

Microsoft Access 2010 is an information management tool that helps you store information, analyze data, and create reports.  Access 2010 comes with Microsoft Office 2010.  This tutorial will introduce the fundamental of the Access, includes creating database, tables, data entry forms, and reports. This tutorial will help you get started with it.

June 19, 2014  10:30 - 11:30am  O'Neil 245

Introduction to Mixed Modeling

Mixed modeling, also known as multi-level modeling or sometime hierarchical linear modeling, is an essential tool in many research areas.  In biomedical research most designs are longitudinal, in social sciences there are often clusters of data such as students within classrooms within schools.  Many familiar methods such as ANOVA or regression assume that all observations are recorded independently.  Having clusters of correlated data violates this assumption and makes these methods invalid.  Mixed Modeling is an extension of regression that allows us to correctly model correlated data.  This tutorial is designed to give an introduction to linear mixed modeling.  We will focus on situations and designs where these methods are required, the dangers of using the wrong methods, and interpretation of the results that are standard across most statistical software packages.

June 24, 2014  12:00 - 1:30 pm  Campion 131

Introduction to R

R is widely used  free statistical  software. To take advantage of R’s flexible output and graphics, packages are actively being developed to that interface R with other programs such as M-plus.  The rapid growth of R means that knowledge of this software will be essential to researchers doing complex statistical analysis.  This tutorial will explain how to download and install R (it’s free!!), learn basic operations.  We will focus on a couple concrete examples so that attendees will get familiar with the R environment.

July 8, 2014  12:00 - 1:30 pm Campion 131.

Introduction to REDCap (Research Electronic Data Capture)

This tutorial is geared towards Boston College Principal Investigators, researchers and research project team managers. REDCap stands for Research Electronic Data Capture. REDCap is a web based, data collection, database management system that was originally developed at Vanderbilt University,
initially for medical research. REDCap is now overseen by a consortium of academic research partners in the United States and throughout the world. Boston College has recently joined the REDCap consortium.

In this introduction to REDCap we will discuss:

  • How to request a REDCap project at Boston College
  • How to make sure that your RedCAP project complies with the mandates of your project's IRB approval
  •  How to create basic data collection forms
  • An introduction to best practices for setting up your REDCap project
  • How to enter data into RedCAP
  • How to control RedCAP user access rights
  • How to create ad hoc reports and export your data

Prior to the class, Research Services will create a TEST project for teaching and learning purposes for each class participant.  Research Services staff are also available to meet with members of the Boston College community to discuss individual REDCap projects.

July 24, 2014  12:00 - 2:30  Carney 33B

Introduction to Regression

As the most common methodology in statistical analysis regression is an important tool for any modern researcher.  This course is intended as an introduction to standard or linear regression.  We will focus on estimation methods, identifying and validating model assumptions.  We will also focus on hypothesis testing for regression estimates and statistical model building.  We will use R software but the goal of the course is to learn concepts and is not intended as a tutorial any specific software.  Note:  The mixed modeling course is a natural sequel to Introduction to Regression.

June 17, 2014   12:00 - 1:30  pm  O’Neill 245

Introduction to Stata: Descriptive Analysis

Stata is a powerful, yet easy to use statistical package. This hands-on tutorial is designed as an introduction for beginning users who are just getting started using Stata. The emphasis in this tutorial is on exploring the data, cleaning the data for research purposes, using graphs, employing descriptive statistics and running simple regressions.

The following topics will be covered:

  • Getting started: open data files, use variable manager.
  • Exploring the data: check variables, use labels and filters, describe data.
  • Modifying the data: create new variables, recode data, examine and impute missing values.
  •  Working with datasets: append and merge datasets.
  • Producing output: log-files, label book, codebook, graphs, and simple regressions.

July 23, 2014  12:00  - 1:30 pm  Carney 33B

HyperRESEARCH for Qualitative and Mixed Methods Research

Join Researchware co-founder Paul Dupuis in a hands-on exploration of the HyperRESEARCH software package for qualitative and mixed methods research. Paul will discuss the latest enhancements to HyperRESEARCH and will demonstrate how to use HyperRESEARCH for conducting qualitative and mixed methods research, from preparing your data in advance of coding to building and testing your theories.

Topics include:

  • Working with various source types (text, audio, video, images, and mixed-method data sets);
  • Organizing your data using HyperRESEARCH "cases" to represent your units of analysis;
  • Creating and applying codes; finding and autocoding themes in source data;
  • Creating memos and annotations; mapping your codes; code retrieval, analysis, and reporting; and iterative code refinement and theory building.

Rani Dalgin from Boston College ITS Research Services will also be available to address questions and to arrange follow up consultations.
Computers with HyperRESEARCH on it will be available in the training room or participants  may bring a laptop and download the demo version of HyperRESEARCH. More information will be sent to participants once they register.

July 22, 2014   12:00  - 2:30 pm Carney 33B

MATLAB 1: Introduction to MATLAB programming

MATLAB fundamentals and the following seminars provide a working introduction to the MATLAB technical computing environment. MATLAB can be used with all aspects of Mathematical computation, analysis, visualization, and algorithm development. This workshop is intended for beginning and intermediate users. No prior knowledge of MATLAB is required. Themes of vector and matrix data analysis, graphical visualization, data modeling, and MATLAB programming are explored by example.
This MATLAB workshop will present:

  • MATLAB Help
  • MATLAB on Linux Cluster
  • Interactive Session
  • Editing Script Files
  • Flow Control
  • Scripts and Functions
  • Read and Write Excel and Text Files

June 16, 2014  2:30 – 4:00 pm, O’Neill 245

MATLAB 2: Graphs and Visualization

The MATLAB environment provides a wide variety of techniques to display data graphically. Interactive tools enable you to manipulate graphs to achieve results that reveal the most relevant information about your data. You can also annotate and print graphs for presentations, or export graphs to standard graphics formats. In this workshop we cover the main MATLAB functions for  two- and three-dimensional graphics. We illustrate:

  • Two-Dimensional Graphics
  • Basic Plots
  • Axes and Annotation
  • Multiple Plots in a Figure
  • Three-Dimensional Graphics
  • Saving and Printing Figures
  • Examples presented (m files) can be easily modified and applied to your specific experimental or model data.

June 17, 2014  2:30 - 4:00  pm  O’Neill 245