OIT Training Research Workshop Descriptions (Summary)
Image Processing Using ImageJ

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This is an introductory course on computer processing of visual information using ImageJ. The topics to be covered include basic image processing techniques such as image enhancement and segmentation. We will mainly use ImageJ for demonstration, but MATLAB Image Processing Toolkit and R image processing packages will also be briefly discussed. Preliminary knowledge of ImageJ is not required.

R This is an researcher focused workshop.
Introduction to NVivo

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This course will give researchers enough knowledge begin a project using NVivo. Researchers will be able to recognize the advantages and limitations of using NVivo for qualitative data analyses. By the end of the workshop, participants will know how to set up a project, import data and code data. Participants will also understand the potential of NVivo as a tool for organizing, questioning, and reporting on the data so that users will be able to support and defend research findings. (The depth and breadth to which these topics will be covered will depend on the general level of computer literacy of the group coupled with their experience of using NVivo software.)

R This is an researcher focused workshop.
Introduction to SQLite Database

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You will create a simple database and execute SQL commands and we will provide a few basic scripting interfaces which the participants will utilize and do some simple edits in the class to get output. SQLite is easy to install and does not need a dedicated server. From the SQLite website: "SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. The source code for SQLite is in the public domain." Some well-known users of SQLite include Adobe, Apple, Firefox, GE, Google, McAfee, Microsoft, PHP, SKYPE, SUN, and Toshiba.

R This is an researcher focused workshop.
JMP Basics

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New workshop! Students will learn the basics of using the JMP interface to accomplish the following tasks: manage data effectively; explore data by using the software's extensive graphical capabilities; create and manage data summary reports in JMP; and conduct basic data analysis. Hands-on examples will be provided throughout the session. Prior knowledge of JMP is not required.

R This is an researcher focused workshop.
MATLAB Programming Basics

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MATLAB is the most popular software for solving problems in matrix algebra. This hands-on workshop will focus on the basic features of MATLAB's working environment and programming techniques. Numerical computation and application will be discussed using practical examples. MATLAB is currently free to faculty, staff, and students. Participants should be familiar with basic programming concepts.

To access the MATLAB software, first download the installation instructions by going to http://oit.utk.edu/software, clicking the "Download OIT Software" button, logging in, and choosing MathWorks, Inc.

R This is an researcher focused workshop.

Qualtrics Web Survey Design 1

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In this hands-on workshop, you will create and deploy a web-based survey using Qualtrics. Basic question construction (single and multiple response questions, grid/matrix tables for Likert questions, text questions) will be covered as well as how to add in Display and Skip Logic, which allows the respondent to skip questions that do not pertain to them, therefore shortening their response time. An overview of the reporting tools and how to export data as an SPSS dataset will also be presented. You may bring your own laptop if you wish.

R This is an researcher focused workshop.
R 1 (R Programming)

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In this hands-on workshop, you will learn to use the R programming language to create vectors, factors, and data frames; manage your files and workspace; control R functions; read comma-separated data files; select variables and observations; create simple traditional plots; and perform basic statistical analyses.

R This is an researcher focused workshop.
SAS Data Analysis

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SAS is a popular package for data analysis and graphics. This workshop shows you how to run the most widely used statistics and graphics in SAS, as well as how to interpret the output. Topics include: importing data in SAS, SAS procedures statements, exploring your data, measuring the strength of association between two continuous variables, comparing two groups on categorical and continuous variables, t-tests, analysis of variance and regression using the general linear model, how to produce plots in SAS, and where to go to learn more. The hands-on lab session will employ SAS for Microsoft Windows. Participants should have a basic knowledge of statistics.

R This is an researcher focused workshop.
SAS Programming Basics 1

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SAS is one of the most popular software packages for data analysis and visualization. It is a powerful tool that enables programmers to perform various tasks including information retrieval, data management, report writing and graphics, statistical analysis, and data mining. This workshop provides instruction on how to program effectively using SAS and understand basic concepts about SAS programs.

R This is an researcher focused workshop.
SPSS 1 (Basics)

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SPSS is a popular package for data analysis and graphics. This hands-on workshop takes you from starting the package through data coding, entry and cleanup, creating new variables, how to get output for different groups, how to request an analysis or a graph, manipulating the output, and where you can learn more. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and Linux. Participants should have basic knowledge of Windows, Macintosh, or UNIX X-Windows. You may bring your own laptop if you wish.

R This is an researcher focused workshop.
SPSS 2 (SPSS Data Analysis)

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SPSS is a popular package for data analysis and graphics. This workshop shows you how to run the most widely used statistics and graphics in SPSS, as well as how to interpret the output. Topics include: exploring your data to find errors, extreme values and sparse categories; examining the distributions of continuous variables; measuring the strength of association between two continuous variables; comparing two groups on categorical and continuous variables and where to go to learn more. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and UNIX. Participants should have a basic knowledge of statistics. You may bring your own laptop if you wish.

R This is an researcher focused workshop.
Using Data Analysis Features of NVivo

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This workshop will demonstrate NVivo features that allow researchers to use data involving demographics along with quantitative and qualitative data. The workshop will cover how to import survey data and/or quantitative data and match cases. By the end of the workshop participants will be able to: conduct simple coding queries, organize sets of participants, auto code qualitative responses to a single node, use annotations and memos, text-search data to augment manual coding, conduct compound queries, export results and report results graphically, and model and report findings.

R This is an researcher focused workshop.
What's New in Qualtrics: Introducing the Qualtrics Insight Platform

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Qualtrics introduced their new Insight Platform in May 2016. This one hour presentation is designed for faculty, students and staff who are familiar with Qualtrics and will focus on the changes that have been made in the layout, panels and survey distribution. It will also provide an overview of the new features, including the new reporting interface, text analysis and data tagging.

R This is an researcher focused workshop.