The Data Science Minor is pleased to offer one 1-year Teaching Fellowships for graduate students. This position is a one-year (two semester) appointment, and offers a $12,500 scholarship over both semesters ($6,250 per semester) in the program.


What will you do as a DS Minor Teaching Fellow?

Over the upcoming academic year, you are a Head TA for DS 1100 (Applied Programming and Problem Solving in Python), DS 3262 (Applied Machine Learning), or both courses (if you so choose). The expectation is that you will be a head TA for one of these courses over the entire academic year; however, you can also choose to TA for both courses at your choosing. These are both undergraduate courses in Python.

DS 1100 covers fundamentals of programming in Python including variables, operations, standard data structures, conditional execution, functions, pandas, and visualization. DS 3262 covers the fundamentals, application, usage, and interpretation of machine learning algorithms, including statistical machine learning techniques, tree-based methods, and more advanced methods.

In your role, you'll work alongside the faculty instructor for the course with tasks including, but not limited to:

    • Leading review sessions and recitation sections as needed to support student learning outside class. This may provide you the opportunity to re-explain and clarify concepts as well as work through example questions.
    • Assist in the creation or evaluation of assignments as specified by the course professor
    • Providing office hours for students in the course
    • Providing timely feedback to students on lab assignments
    • Providing grading assistance for lecture assignments as directed by the faculty professor.

What skills are we looking for in Teaching Fellow applicants?
  1. Proficiency in Python. Both courses are taught in Python and you should be proficient enough that you feel comfortable teaching undergraduate students.
  2. Proficiency in machine learning. In the ML course, undergraduates will be learning machine learning techniques. This role requires you to leverage your knowledge in conjunction with communication skills, to explain in accessible terms how these models work and what they are doing.
  3. Good communication skills. You will be leading a class of Vanderbilt undergrads. You need to be organized and confident, speak clearly, and have the skills (and patience!) to explain these concepts to students who are trying to understand.

Want to learn more about the DS Minor and DS Minor courses?

To learn more about the DS Minor, visit the VU DS Minor webpage. The Course Descriptions page additionally provides more details for CS/DS 1100 and CS/DS 3262.

 

We look forward to reviewing your application!

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