Category Archives: Featured

R programming language: course available 24-7 online!

RData-segment_2bData Analysis and Visualization Using R: an introductory R programming course available online 24-7 through Princeton Coursera to current Princeton University community members around the globe.

Sometimes you need an R programming lesson on a Tuesday at 12:00am, or 1:00pm on a Sunday. What to do? Princeton Quantitative and Computational Biology graduate students David Robinson and Neo Christopher Chung, in association with Princeton Online/Princeton University Coursera, have created a multi-lesson searchable course based on the successful introductory R programming workshops taught by both Robinson and Chung over the past two years for the McGraw Center for Teaching and Learning and the J Street Library and Media Center.

The course is currently only available to current Princeton University members with a NetID, and does not appear on the Princeton University Coursera webpage.  Check out the course using the Princeton link, and login using your NetID and password.

Princeton Peer 2 Peer: Call for Undergraduate Teachers & Learners


Do YOU have a particular set of skills? Test4-P2Pc

Need to provide hands-on training for your members?
Did you know NMC staff can populate our lab computers with your exercise files?

Have an idea for a workshop?
Need a space for training & A/V projection?

Graphic Design, Video/Audio Production, 3D Modeling, Programming, Web Development

Apple Final Cut Pro, Adobe Illustrator, Adobe Photoshop, Adobe Premiere & After Effects, Adobe InDesign. Adobe Dreamweaver, Blender…and much more!

Contact Us to Schedule a Workshop or Training!  

The New Media Center (NMC), a McGraw Center for Teaching and Learning Lab, has projection, A/V support, a 26 seat media lab, and an audio room for your use. Our lab and audio room are available for all undergraduates regardless of academic concentration, and for projects academic, creative, and personal. We are open 1:00pm – 11:00pm 7 days per week during the academic year, with student and professional staff available to assist you.

MATLAB Introductory Workshop, 10/15, 7pm – 9pm

“MATLAB® is a high-level language and interactive environment for numericalMatlab_Logo computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications.”  – MathWorks



Workshop Description
This workshop provides an introduction to MATLAB® interface. The workshop is intended for students with no programming experience, and is designed to assist students to learn basics of programming with MATLAB. The MATLAB interface, variables, arrays, conditional statements, loops, and plots are among the topics that will be explained. At the end of the workshop, students should be able to use MATLAB for their course work, and be ready to advance their programming skills on their own.

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Statistical Programming with R Workshop Series (Two Sessions!)

R is the de facto standard for statistical analysis in a wide range of disciplines such as 450985571v3computational biology, finance, sociology, political science and digital humanities. This two-part workshop will help participants to get started with R’s abilities, ranging from data structure to visualization. Designed for students without any programming experience, this course will better prepare you for introductory statistics courses and quantitative research at Princeton.

Part 1: Introductory Workshop in Statistical Computing with R
In the first session, you will become familiar with the R programming environment and learn how to work with variables, vectors and data frames. You’ll learn how to import data from a file, to filter it, and to extract summary statistics. You’ll then learn how to use the powerful ggplot2 package to visualize your data, including scatter plots, histograms and boxplots.

Part 2: Intermediate Workshop in Statistical Computing with R
In the second session, you’ll be introduced to R’s tools for statistics and exploratory data analysis. You’ll learn to use R’s built-in statistical functions to test hypotheses about your data, including computing correlations, comparing two samples, and performing linear regressions. You’ll then learn further methods of manipulating and summarizing data using the dplyr package, and learn the basics of exploratory data analyses.

PLEASE NOTE: The best way to learn R is to attend both sessions. The second session will assume students are familiar with both R data structures and the ggplot2 package. To meet the goals of each session, and out of respect for those who enrolled in both, the Instructor will not be able to review material for students not present for Part 1. If you absolutely must miss the first session, reviewing the material in Lessons 1 and 2 of the online course, and passing the corresponding interactive quizzes, would help acquire the necessary basis for Part 2.

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Teaching with Technology Innovators Series: As Easy As ABC: Digital Humanities in the Classroom

Topic: As Easy as ABC: Digital Humanities in the Classroom
Speakers: Bill (William) Gleason (Professor & Chair, Department of English), Andrea Immel (Curator, Costsen Children’s Library), Ben Johnston (Manager, Humanities Resource Center, OIT), Clifford Wulfman (Coordinator, Library Digital Initiatives)

Time: Tuesday, April 29, 4:30pm – 6:00pm
Location: 330 Frist Campus Center, McGraw Center Conference Room

Refreshments will be provided! To register for this session:
(Registration is not required for attendance, however refreshments may be limited.)

The collaborators behind the new Interactive Digital Archive of Rare ABC Books, featuring selections from the Cotsen Children’s Library, will discuss the vision, planning, and work of the project, which was supported with a course development grant from the Digital Humanities Initiative and has been integrated into ENG 385: Children’s Literature. They will also describe a special course component in which students receive training in the methods and materials of the digital humanities, including text encoding.

Bill Gleason is Professor and Chair of the Department of English. A specialist in American literature and culture, his research and teaching interests range from the 18th century to the present, with particular emphasis on the late 19th/early 20th century, and include popular culture, material culture, environmental studies, and the history of the book.

Andrea Immel, Curator of the Cotsen Children’s Library since 1995, organizes international conferences, gallery and virtual exhibitions, and acquires materials for the collection.  She contributed chapters to volumes 5 and 6 of the Cambridge History of the Book in Britain, and co-edited Childhood and Children’s Books in Early Modern Europe, and the Cambridge Companion to Children’s Literature.

Ben Johnston is manager of OIT’s Humanities Resource Center in East Pyne.  Since 2005, Ben has worked with Princeton educators, students, and researchers across the Humanities and Social Sciences to facilitate the use of digital assets, technology tools, databases, and digital video in teaching and research. Ben is also an active member of Princeton Digital Humanities Initiative.

Clifford Wulfman is coordinator of Library Digital Initiatives and Director of the Blue Mountain Project. In addition to many years’ experience with text encoding, Cliff has published numerous articles on topics in the digital humanities and is co-author, with Robert Scholes, of Modernism in the Magazines: An Introduction.