DACSS 601: Data Science Fundamentals - FALL 2022
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Theresa Szczepanski

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Theresa Szczepanski

Github

Education/Work Background

  • I graduated in 2006 with a Bachelors degree in Mathematics and Philosophy from the University of Scranton
  • I attended graduate school for Discrete Mathematics and worked for 3 years in the Mathematics and Computer Science department at Goethe Universitaet in Frankfurt, Germany serving as a teaching assistant for various Math courses as well as “Math for Computer Science” courses.
  • For the last 10 years I have been working as a Mathematics and Computer Science teacher at Rising Tide Charter Public School in Plymouth, MA.

R experience

None, that is why I am excited for this course.

Research interests

I want to analyze the performance of the STEM students at my school. I am interested in the use of analytics to support the creation of apolitcal, evidence-based, systems to support STEM teaching and learning at my school.

Hometown

Elizabethtown, PA

Hobbies

Yoga, Hiking, Running, Swimming

Fun fact

  • Light fun fact: I am fluent in German. Ich kann fliessend Deutsch sprechen.
  • Deep fun fact: I was always confident as a mathematician and mathematics student but presumed myself to not be “good enough” to learn about computers. I took a CS course in my undergraduate career because it was required of me. As a student of Discrete Mathematics, I was exposed to a lot of computational thinking principals but STILL was afraid to learn to code. Throughout my entire career as a teacher I have had to step up and teach Computer Science because I was the only person willing to do it. Now as I look back on a decade of highly talented female math students who demonstrate the same fears that I too carried, I have for the first time elected to take a computational course by signing up for this class. I didn’t “have to” take this course, I “chose to” and I want to develop the skills to analyze and support all students in STEM at my school.