Fogler Library Faculty Newsletter 9-17-2019
New UMaine Finding Aids, Getting Started with R, Information Literacy Guidelines Workshop, Intro to Analysis and Graphing with R, Intro to Python
In this issue
- New UMaine Finding Aids
- Getting Started with R
- Information Literacy Guidelines for First-Year Students
- Intro to Analysis and Graphing with R
- Intro to Python
Featured Resource: Document Delivery Services
University of Maine faculty, staff, and students may use this service to obtain pdf copies of journal articles or book chapters (up to 30 pages) held by Fogler Library. Staff will post a scanned pdf to the requester’s ILLiad account. Please use the ILLiad form for either an article or book chapter when submitting Document Delivery requests.
1. New UMaine Finding Aids
More finding aids for University of Maine records held by Fogler Library have been added to the finding aid page on Digital Commons. The most recent finding aids are for the records of the School of Social Work, American University in Bulgaria, Printing and Mailing Services, Museum of Art, and on May Day celebrations. Matthew Revitt (matthew.revitt@maine.edu), Special Collections and Maine Shared Collection Librarian is currently processing the papers of late University of Maine professors David C. Smith and Carroll F. Terrell.
2. Getting Started with R
Tuesday, September 24, 6:00 pm – 8:00 pm
Fogler Library Classroom 1
Fogler Library will host a workshop on R, a widely used language and environment for managing, graphing, and analyzing data of all forms (e.g., spatial, quantitative, and qualitative). The Getting Started with R workshop will cover the basics of R language and an introduction to data manipulation. This introductory workshop is presented in collaboration with UMaine’s Advanced Computing Group.
We recommend bringing fully charged laptops, with R and RStudio already installed. Laptops will be available for attendees who need to borrow one. If you would prefer to attend online instead, please contact acg@maine.edu.
About the Presenter
Amanda Klemmer is an Assistant Professor with the School of Biology and Ecology and Ecology and Environmental Science Program. She teaches the Basics in R Programming Language class at UMaine and has led multiple workshops on the language.
3. Information Literacy Guidelines for First-Year Students
Wednesday, September 25, 4:00 pm – 5:00 pm
Fogler Library Classroom 1
Over the summer, Fogler’s Reference & Information Literacy librarians have developed suggested information literacy guidelines for First-Year Students. This workshop will introduce the guidelines, as well as the national models they were drawn from, while discussing the importance of building information literacy skills for successful learners. Some tools and strategies for incorporating these skills in courses will also be discussed.
Please register for this workshop here.
4. Intro to Analysis and Graphing with R
Tuesday, October 1, 6:00 pm – 8:00 pm
Fogler Library Classroom 1
Fogler Library will host a workshop on R, a widely used language and environment for managing, graphing, and analyzing data of all forms (e.g., spatial, quantitative, and qualitative). The workshop will cover how to run a very simple analysis of variance (ANOVA) and regression statistical analysis and making effective plots using base R. An introductory knowledge of R will be needed for this workshop. This workshop is presented in collaboration with UMaine’s Advanced Computing Group.
We recommend bringing fully charged laptops, with R and RStudio already installed. Laptops will be available for attendees who need to borrow one. If you would prefer to attend online instead, please contact acg@maine.edu.
About the Presenter
Amanda Klemmer is an Assistant Professor with the School of Biology and Ecology and Ecology and Environmental Science Program. She teaches the Basics in R Programming Language class at UMaine and has led multiple workshops on the language.
5. Introduction to Python
Tuesday, October 8, 6:00 pm – 8:00 pm
Fogler Library Classroom 1
This workshop will provide an introduction to one of the most popular languages used for scientific applications today—Python 3. We will start with a basic overview of the environment and the tools needed to develop Python 3 programs. Then we will quickly begin to learn the fundamentals of the programming language.
The session will be presented using Jupyter, a system commonly used in scientific communities to provide transparent and reproducible results. Workshop participants will learn how to read data files, clean data, and visualize results.
Previous coding experience is not required. We recommend bringing fully charged laptops with Jupyter or at least Python 3 already installed. Laptops will be available for attendees who need to borrow one. This introductory workshop is presented in collaboration with UMaine’s Advanced Computing Group. If you would prefer to attend online instead, please contact acg@maine.edu.
About the Presenter
Mark Royer is a Ph.D. Candidate of Computer Science in the School of Computing and Information Science at the University of Maine with several years of experience teaching students various programming languages.