My teaching philosophy is to spark my students’ curiosity and creativity while leading them to see that their experiences are essential to developing new ideas and problem-solving strategies. This aligns with my aim of effectively teaching a diverse group of people and of attracting individuals from diverse identities to my research team and classes. I encourage students to go deeply into the roots of what is being taught, searching for the assumed premises and the interfering biases. I practice active listening with my students and use various strategies to help them gradually become independent thinkers.
- I want to thank all guest lecturers and collaborators who supported my courses over the years.
- AI Coffee Chat: At least once a semester, I open my lab for a chat about AI.
Fall 2026:
Spring 2026:
- CSC 261 – Artificial Intelligence.
- CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
Fall 2025:
- CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
- CSC 207 – Object-Oriented Problem Solving, Data Structures, and Algorithms.
Spring 2025:
- CSC 261 – Artificial Intelligence.
- CSC 207 – Object-Oriented Problem Solving, Data Structures, and Algorithms.
Fall 2024
- Two sections: CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
Fall 2023 and Spring 2024:
- PI Eliott was awarded the prestigious Harris Faculty Fellowship at Grinnell College, an annual competitive fellowship for pre-tenure faculty.
Spring 2023:
- CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
- CSC 207 – Object-Oriented Problem Solving, Data Structures, and Algorithms.
Fall 2022:
- CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
- Tutorial: Machines, Space, and Topology.
Spring 2022:
- CSC 395-02 – Special Topic: Introduction to Reinforcement Learning (RL) and Multi-Agent Systems (MAS) In the news: Exploring Artificial Intelligence and Machine Learning
- CSC 161 – Imperative Problem Solving
Fall 2021:
Spring 2021:
- CSC 261 – Artificial Intelligence.
- CSC 324 – Software Design and Development / CSC 326 – Software Development Leadership.
Fall 2020:
2016-2019:
- Lecturer (Instructor of Record), Dept. of Electrical Engineering and Computer Science, Vanderbilt University: Special Topics (CS 3891/5891), Introduction to Reinforcement Learning, undergraduate/graduate (Spring 2019 and Fall 2018).
- Guest Lecturer and Teaching Assistant, Dept. of Electrical Engineering and Computer Science, Vanderbilt University:
- Special Topics (CS3891/5891), Data Visualization, undergraduate/graduate (Fall 2019).
- Projects in AI (CS 4269/5269), Intro to Machine Learning, undergraduate/graduate (Spring 2018 and Spring 2017).
- Special Topics (CS 8395), Computation and Cognition, graduate (Fall 2017).
- Special Topics (CS 8395), Computational Mental Imagery, graduate (Fall 2016).