ESP Biography



RYAN PERNY, ESP Teacher




Major: Information Science/CCIS

College/Employer: Northeastern University

Year of Graduation: 2019

Picture of Ryan Perny

Brief Biographical Sketch:

Not Available.



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

X12329: Bad Data Visualization and How to Avoid It in Splash 2018 (Nov. 17 - 18, 2018)
What makes a graph good? What makes one bad? Have you ever seen a chart so confusing that you can't understand it? This class will look at some bad visualizations and talk about what makes them bad. For example, they may be confusing, difficult to read, or have multiple interpretations. We'll also discuss how these visualizations could potentially be improved.


L12060: The Plague in Spark 2018 (Mar. 17 - 18, 2018)
In the mid 14th century, the bubonic plague, commonly known as the "Black Death," swept across Europe, killing millions. Come learn about Yersinia pestis, how it spread, how it affected the human body, and how it is treated today.


X12239: Civic Engagement in Spark 2018 (Mar. 17 - 18, 2018)
Wondering about how to get more involved in your community? Come learn about the history of civic engagement, service learning, how non-profits work, and how you can get involved, too!


X11543: Non-Dairy Milks and Their Uses in Splash 2017 (Nov. 18 - 19, 2017)
More than half the world's adults have some level of intolerance to lactose. This does not include milk allergies, which also prevent people from drinking cow's milk. There are many non-dairy milk alternatives, which allow people to enjoy milk while avoiding dairy. We will be discussing and tasting some of these alternatives, including soy milk, almond milk, and rice milk. We will try these milks in several different forms! Please note: This class will have no dairy products, but will include various nut and soy products.


X12001: Bad Data Visualization and How to Avoid It in Splash 2017 (Nov. 18 - 19, 2017)
What makes a graph good? What makes one bad? Have you ever seen a chart so confusing that you can't understand it? This class will look at some bad visualizations and talk about what makes them bad. For example, they may be confusing, difficult to read, or have multiple interpretations. We'll also discuss how these visualizations could potentially be improved.