All Library Events
Course Design Retreat Space
Faculty are welcome to come by anytime this week to work on their Spring 2019 courses in our quiet work room. Enjoy coffee, tea and snacks, and work for one or several hours. No prior appointment is necessary, but if you know you would like a teaching consultation while you're here, please email learninginnovation@duke.edu ahead of time so we can make sure the right consultant is available to meet with you.
Bring your departmental colleagues or those with whom you're co-teaching, and work efficiently together to finish preparing your Spring courses.
Or come by yourself if you prefer.
We'll be here to help, either way!
Streamline your grading with Gradescope
Learn more about how you can use Gradescope to speed up your grading workflow and to provide better feedback to your students. This demo is for those who are new to Gradescope or who haven't used it recently.
Some of Gradescope's features:
- Scan in and grade paper-based homework or tests, including bubble sheet style tests,
- Upload and grade electronic-based assignment such as short essays,
- For quantitative assignments, built-in AI functions may allow grading answers by group to speed the grading process,
- Rubric design means more consistent grading between students, particularly important when using multiple graders,
- Process can allow for blind grading (grading without seeing student names),
- Integration with Sakai to allow grades to easily populate the Sakai gradebook.
Come and see if Gradescope is right for your course.
Lunch will be provided for those who pre-register.
Getting Started with Sakai
This workshop is designed to give Duke faculty and staff preparing to use Sakai the knowledge necessary to create and manage a course or project site. During the session, we will provide an overview of Sakai basics, including the most commonly used tools and how to navigage the settings of a site. By the end of the workshop, participants will be able to:
- Create and manage a course/project site
- Describe commonly used Sakai teaching tools
- Understand course organization tools and upload sample materials
- Identify key features of the gradebook and understand TA grading permissions
Streamline your grading with Gradescope
Learn more about how you can use Gradescope to speed up your grading workflow and to provide better feedback to your students. This demo is for faculty, instructors and TAs (or those who support and work with them) who are new to Gradescope or who haven't used it recently.
Some of Gradescope's features:
- Scan in and grade paper-based homework or tests, including bubble sheet style tests,
- Upload and grade electronic-based assignment such as short essays,
- Built-in AI functions allow grading short quantitative answers by group to speed the grading process,
- Rubric design means more consistent grading between students, particularly important when using multiple graders,
- Process can allow for blind grading (grading without seeing student names),
- Integration with Sakai to allow grades to easily populate the Sakai gradebook.
Come and see if Gradescope is right for your course.
Sakai Lessons Tool
The Lessons tool allows an instructor to organize their course in a modular format to guide their students through learning tasks. It creates structured pages that pull content and functionality from other tools and organizes them as a series of sequential tasks. This session will focus on how to use the Lessons tool including new features such as the page layout option.
Faculty/Student Interactions
This workshop, the fifth in the 2018-19 Faculty Advancement and Success (FAS) Series from the Office of Faculty Advancement, will focus on an exploration of possible ways to navigate various interactions and challenges that may arise between faculty and students.
Please register in advance.
A Celebration of Award-Winning Writer Allan Gurganus
Join us for a special reception and reading as the Rubenstein Rare Book & Manuscript Library celebrates an exciting recent acquisition—the literary archives of award-winning writer Allan Gurganus.
The author of such works as The Oldest Living Confederate Widow Tells All, White People, and The Practical Heart: Four Novellas, Gurganus was described by novelist John Cheever as “the most technically gifted and morally responsive writer of his generation.”
Gurganus will read a selection from his forthcoming book, The Erotic History of a Southern Baptist Church. Attendees will also be invited to view some of the author's papers, which include drafts, correspondences, and a selection of his original artwork.
Gurganus’s short stories have been widely anthologized, while his longer fiction has received such accolades as the Lambda Literary Award, the Los Angeles Times Book Prize, and the Sue Kaufman Prize from the American Academy of Arts and Letters. Gurganus has taught writing and literature at Duke, Stanford, Sarah Lawrence, the Michener Center at the University of Texas-Austin, and the Iowa Writers’ Workshop.
Gurganus’s papers will further enrich the Rubenstein Library’s already robust collection of papers from other authors in the southern literary tradition who have achieved national and international prominence, including Reynolds Price, Anne Tyler, Michael Malone, and William Styron.
Reception begins at 5:00 p.m. Free and open to the public.
Don't Miss the Related Exhibit!
Allan Gurganus: A Writer's Sketchbooks
Power Plant Gallery, American Tobacco Campus
320 Blackwell St., Durham, NC 27701
On view December 4 - January 19, 2019
Exhibit Opening Reception: December 5, 6:00 p.m.
To celebrate the acquisition of his papers, Duke's Power Plant Gallery at the American Tobacco Campus will feature an exhibit of Gurganus's artwork, including 60 never-before-seen drawings and paintings. The exhibit will run through January 19, 2019.
Rfun - Intro to R: Data Transformations, Data Structures, and the Tidyverse
A gentle introduction to R and the Tidyverse using RStudio. This two-hour, hands-on session introduces data wrangling, data types, variable assignments, and packages. Our focus will be the Tidyverse, specifically the dplyr and ggvis packages. Tidyverse, is an approachable set of consistent data science tools enabling the R statistical programming language.
NOTE: Bring your laptop.
- You can use a cloud version of R or install R & RStudio in advance (instructions)
- Install the tidyverse package in advance (instructions)
Attendees will be signed-up for up a few months of free academic access to the interactive training at DataCamp.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management 101 for Social Scientists
Social scientists work with lots of data in their research, be it qualitative or quantitative, primary or secondary. This workshop will introduce data management practices for social scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a social sciences lens using discipline-based, concrete examples. While good general data management practices are relevant across disciplines, participants working specifically within the social sciences are the intended audience for this workshop.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Intro to ArcGIS Pro
ArcGIS Pro is a newly designed interface as an alternative to the tried-and-true ArcGIS desktop software. It has essentially the same functions, but with more of a MS-Office feel. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project. It's more fully integrated with ArcGIS Online (see schedule for upcoming workshop on Web Mapping).
ArcGIS Pro can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. This is an introductory class, and it's not necessary to be familiar with ArcGIS Desktop beforehand.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Rfun - Visualization in R using ggplot2
Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research.
In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2.
In this workshop, we will use RStudio and RMarkdown files for all exercises. You may use the in-room computers, but if you prefer to bring your own laptop, but please make sure you come with RStudio and the tidyverse package installed. You may also want to install the knitr package to be able to compile the entire Rmarkdown file. Workshop materials are available if you would like to review them in advance.
Please note: this classroom has a limited number of seats. If you choose to register for the workshop, please make every effort to attend, or if you cannot, please cancel your registration as soon as a conflict comes up. If all spots fill up, we will maintain a waitlist in the event of cancelations. In addition, a previous version of this workshop has been recorded, and the associated files are available on GitHub. If you can't attend but would like to be notified when a recording is available, please contact Angela Zoss.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Rfun - Mapping with R
R has become a popular and reproducible option for supporting spatial and statistical analysis. This hands-on workshop will demonstrate how to plot x/y coordinates; how to generate thematic chloropleths with US Census and other federal data; import shapefiles; and create interactive maps on the web.
Prerequisites:
- Required (or equivalent): Intro to R. All attendees are expected to be basically familiar with R, R Studio, and the Tidyverse.
- Strongly recommended: Visualization with ggplot2
NOTE: Bring your laptop.
- Use a cloud version of R, or install R & RStudio in advance (instructions)
- Install the tidyverse, tidycensus, tigris, and sf packages in advance (instructions)
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Open Science: General Principles and Practices
Open Science is a growing movement that advocates for research to be transparent and openly available to all others for the purposes of engagement, validation, and extension. This workshop will present an overview of the Open Science movement and the general principles of the movement including the importance of access to data, publications, and the underlying research process as well as new initiatives within scholarly communications that support “openness” of the research endeavor such as preprints, registered reports, persistent identifiers, and community engagement platforms.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Web Mapping
This introductory workshop will teach you how to easily build interactive, online maps. After discussing general mapping concepts and technologies, we will present step-by-step tutorials for ArcGIS Online, a cloud-based mapping platform. Topics will include aspects of adding data, creating and styling maps, publishing web applications, and using spatial analysis tools.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Rfun - Version Control, Git, & GitHub
In this hands-on workshop you will discover how to harness version control using Git and GitHub. Additional applications, including RStudio and Sublime Merge, will be used in class as you gain experience with version control in our workshop setting. Git is a powerful version control system. Git Hub is a social coding repository. RStudio is an open-source data science platform/ecosystem supporting reproducible analysis and report generation.
To fully participate in this workshop, please bring your own laptop. This workshop focuses on the practical aspects of configuring RStudio with Git in effort to leverage social coding and GitHub. Following the workshop you will have the skills to use Git/GitHub without using RStudio. However, we will use and focus on the R & RStudio implementation in class.
NOTE: Bring your laptop.
- Install R & RStudio on your laptop in advance (instructions). We will not use any cloud versions for this workshop.
- Install the tidyverse package in advance (instructions)
- Create a GitHub.com account in advance
Prerequisite: Intro to R. All attendees are expected to be basically familiar with the R Studio environment.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Book Discussion: "What the Best College Teachers Do" by Ken Bain
What makes a great teacher great? Who are the professors students remember long after graduation? What the Best College Teachers Do, by Ken Bain, is the conclusion of a fifteen-year study of nearly one hundred college teachers in a wide variety of fields and universities, and offers valuable answers for all educators.
New faculty at Duke received a copy of this book at New Faculty Orientation in August 2018, and are invited to join us to discuss the book (other faculty are welcome, too - if you don't have a copy of the book, we'll provide one if you register at least a week in advance).
Lunch will be provided.
Intro to QGIS
Looking for an open source option for GIS to make maps or analyze geospatial data? In this workshop we will demonstrate how to import and analyze data in QGIS and discuss the benefits of using QGIS over other GIS software. In the process, we'll go over some general GIS concepts such as layers, types of GIS files, and projections. This is an introductory class, and no prior GIS experience is needed.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Intro to Tableau – Easy Charts and Maps
Tableau Public (available for both Windows and Mac) is free software that allows individuals to quickly and easily explore their data with a wide variety of visual representations, as well as create interactive web-based visualization dashboards. This workshop will focus on using Tableau Public to create data visualizations, starting with an overview of how the program thinks about data, common data manipulation and loading, and the terminology used. Activities will include a sample data visualization and mapping project, which will give people hands-on experience using Tableau’s basic chart types and dashboard creation tools. We will also discuss publishing to the Tableau Public web server and related services and tools, like the full Tableau Desktop application (free for full-time students).
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Book Discussion: "What the Best College Teachers Do" by Ken Bain
What makes a great teacher great? Who are the professors students remember long after graduation? What the Best College Teachers Do, by Ken Bain, is the conclusion of a fifteen-year study of nearly one hundred college teachers in a wide variety of fields and universities, and offers valuable answers for all educators.
New faculty at Duke received a copy of this book at New Faculty Orientation in August 2018, and are invited to join us to discuss the book (other faculty are welcome, too - if you don't have a copy of the book, we'll provide one if you register at least a week in advance).
Lunch will be provided.
Story Maps
This workshop will help you get started telling stories with maps using the Esri Story Map platform. This easy-to-use application integrates maps with narrative text, images, and videos to provide a powerful communication tool for any project with a geographic component. We will explore the capabilities of Story Maps, share best practices for designing effective stories, and guide participants through the process of creating their own Story Map.
Attendees will need to bring a laptop computer.
Visualization in Python with Altair
While Python is my preferred programming language for scripted data transformations, I have avoided routinely doing visualization in Python. I could follow examples for the many Python visualization libraries, but in the end they all seemed confusing and made it hard to do the types of exploratory visualization that Tableau made easy. Finally, Altair has emerged as a viable alternative for me, with the way it thinks about data and the visualization process, and I thought others might be interested in learning more about it.
Altair is a declarative statistical visualization library for Python, built on top of the well-design and powerful Vega-Lite visualization grammar. (Vega-lite was built for the web, includes interaction, and is being adopted as a standard by high profile websites and tools.) It works well for small to medium-sized tabular data (like spreadsheets).
In this workshop, I’ll run you through both some introductory and more complex examples using Altair with Python in Jupyter notebooks, so you can get a feeling for how you might use it in your own work. No programming experience is required, but you’ll probably be more comfortable following along if you have some previous exposure to Python, since I won’t be spending time on the language itself.
- Altair web site: https://altair-viz.github.io/
- Blog post, “Why I’m backing Vega-Lite as our default tool for data visualization”: https://medium.com/@robin.linacre/why-im-backing-vega-lite-as-our-default-tool-for-data-visualisation-51c20970df39
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management 101 for Humanists
Humanists work with various media, content and materials (sources) as part of their research. These sources can be considered data. This workshop will introduce data management practices for humanities researchers to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a humanities lens with discipline-based, concrete examples. While general good data management practices are relevant across disciplines, participants working specifically within the humanities are the intended audience for this workshop.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Map Design
Making maps is a creative rather than a purely technical process. Even if you can expertly use the latest and most advanced tools, you still have to make design decisions based on your specific audience, data, and goals. This workshop will present an overview of concepts in cartography and provide practical techniques for creating effective, visually appealing maps. We will explore design principles by analyzing plenty of examples. No specific software experience or GIS knowledge is required.
Thriving as a PoP
This workshop, the sixth in the 2018-19 Faculty Advancement and Success (FAS) Series from the Office of Faculty Advancement, will focus on effective practices to maximize professional opportunities, support and advancement for Professors of the Practice.
Workshop location: Gray Building 229 (York Reading Room)
Please register in advance.
Rfun - Interactive Dashboards Visualizations with R's HTMLwidgets and flexdashboards
Explore the interactivity inherint in HTMLWidgets via FlexDashboards -- using R/RStudio
Prerequisites:
- Required (or equivalent): Intro to R. All attendees are expected to be basically familiar with R, R Studio, and the Tidyverse.
- Strongly recommended: Visualization with ggplot2
NOTE: Bring your laptop.
- Use a cloud version of R, or install R & RStudio in advance (instructions)
- Install the tidyverse, flexdashboard, crostalk, leaflet, DT, plotly, and dygraphs packages in advance (instructions)
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Open Data Tools: Duke's Research Data Repository
Open Science is a growing movement that advocates for research to be transparent and openly available to all others for the purposes of engagement, validation, and extension. This workshop will present a brief overview of the the general idea of “Open Data” within the Open Science context as well as describe a tool available to the Duke community for making their data openly accessible - Duke’s Research Data Repository. The general functionalities of the tool as well as tips for submitting data will be discussed.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Managing Sensitive Data
In the course of your research you may collect, interact with or analyze data that are considered “sensitive.” In this workshop we will examine common sensitive data types, how Duke’s IRB and Information Technology Security Office (ITSO) expects you to protect that data throughout your project’s lifecycle and the resources available to you for sensitive data storage and analysis, data de-identification, and data archiving and sharing.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Adobe Illustrator for Modifying Charts and Graphs
In this workshop, you will learn the basics of using Adobe Illustrator, the professional standard in vector graphics software, for fine-tuning charts and graphs created in other programs like Excel, Matlab and R. Many people avoid using Illustrator because of its steep learning curve, but you will see that once you know a few basic tools, it is quite easy to give all your work a consistent look, extra highlights and annotations, and that professional edge. There are no prerequisites – we will start with the basics.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Book Discussion: "What the Best College Teachers Do" by Ken Bain
What makes a great teacher great? Who are the professors students remember long after graduation? What the Best College Teachers Do, by Ken Bain, is the conclusion of a fifteen-year study of nearly one hundred college teachers in a wide variety of fields and universities, and offers valuable answers for all educators.
New faculty at Duke received a copy of this book at New Faculty Orientation in August 2018, and are invited to join us to discuss the book (other faculty are welcome, too - if you don't have a copy of the book, we'll provide one if you register at least a week in advance).
Lunch will be provided.
Data Management 101 for Scientists
Scientists work with lots of data both big and small, and in many formats and systems. This workshop will introduce data management practices for scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a sciences lens using discipline-based, concrete examples. While good general data management practices are relevant across disciplines, participants working specifically within the sciences are the intended audience for this workshop.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management 201: Preparing Data for Publishing
Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be shared or “published” within a repository. Building upon the foundational concepts covered in the data management 101 courses offered this year, this workshop will provide hands-on experience where participants will learn strategies for “curating” a dataset for formal sharing. Participants will identify common data issues, determine recommendations to optimize the dataset, generate metadata and documentation, and consider how these practices might be applied to their own research.
Participants are not required to have taken the Data Management 101 course (although it is recommended). Please bring a laptop to participate fully in the workshop.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Open Workflow Tools: Open Science Framework
Open Science is a growing movement that advocates for research to be transparent and openly available to all others for the purposes of engagement, validation, and extension. This workshop will present a brief overview of how researchers can make their workflows more transparent and open through the use of various tools. One particular tool and its features will be examined in depth - the Open Science Framework. The OSF has a variety of features that can help enable more open workflows as well as reproducible research practices.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Data Management 201: Preparing Data for Publishing
Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be shared or “published” within a repository. Building upon the foundational concepts covered in the data management 101 courses offered this year, this workshop will provide hands-on experience where participants will learn strategies for “curating” a dataset for formal sharing. Participants will identify common data issues, determine recommendations to optimize the dataset, generate metadata and documentation, and consider how these practices might be applied to their own research.
Participants are not required to have taken the Data Management 101 course (although it is recommended). Please bring a laptop to participate fully in the workshop.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Open Workflow Tools: Open Science Framework
Open Science is a growing movement that advocates for research to be transparent and openly available to all others for the purposes of engagement, validation, and extension. This workshop will present a brief overview of how researchers can make their workflows more transparent and open through the use of various tools. One particular tool and its features will be examined in depth - the Open Science Framework. The OSF has a variety of features that can help enable more open workflows as well as reproducible research practices.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.