Introduction to building and using environmental sensors.
Developed and taught a 1-credit course that introduced undergraduate and graduate students outside of engineering to the fundamentals of sensors from building resistive soil moisture sensors through to using commercial sensors. Students worked with ESP32 microcontrollers and built their understanding to culminate the class in a project integrating different digital sensors to measure tree health for early detection and understanding risk factors for infections (CO2, colorimetric, temperature, humidity sensors).
Freshman undergraduate course in electricity and magnetism approaching the subject from an electrical engineering connecting the math of maxwells equations and the wave equation with circuit, transmission line, and capacitive sensing applications.
I independently taught the course -- creating and teaching lectures, making homeworks, re-vamping labs, and holding office hours.
Undergraduate and graduate student course designed to introduce the incredible array of sensors and data sets now available and get students comfortable using satellite and ground-based sensor data to generate insights into our planetary health. We finished the quarter with group projects that involved the making and deploying sensors around campus.
I constructed the 6 python Jupyter notebook assignments with collaborators to lead students through learning basics of pandas geo-spatial-temporal dataset analysis. These notebooks gave students opportunities to explore global and local trends in CO2, temperature, precipitation, ground water, air quality, and fishing activity. I developed the air quality assignment from the ground up pulling low-cost sensor data from purple air for the city of Oakland, introducing kriging, filtering/pre-processing, and statistical analysis. In this assignment students looked at air quality data from an environmental justice perspective - exploring correlations with demographic census data. I also ran the final 3 weeks of the course teaching the fundamentals of analog sensing in which students learned to use microcontrollers to log commercial analog sensor data.
Graduate-level applied physics electronics course covering basic circuits, transistors, and analog circuitry concluding with a project in which students built lock-in amplifiers.
I was responsible for running the lab component. In this role, I helped students debug their circuits and gain hands-on experience with analog circuits.
Helped run first iteration of an interdisciplinary course combining signals and systems with dynamics. This class taught Laplace transforms and differential equations in the joint contexts of circuits and dynamic mechanics. The first half of the course was taught as one large group and then the second half split into SigSys and Dynamics specific content. The course is a collaberative inverted classroom approach. I aided in the classroom answering questions circulating around the room as students worked in tables and held office hours.
Advanced mechatronics course intended to teach multidisciplinary integration and design as well as teaming. In this course, I was the lead CA responsible for organizing a team of six CAs, running labs, organizing and supporting student teams.
Interdisciplinary inverted classroom model course combining multivariable calculus, differential equations, linear algebra, mechanics, dynamics, and signals and systems. I worked on this class for 4 semesters aiding in course redesign, in class teaching, office hours, and grading
Helped in lab-based course teaching basic circuits (RC filters, Op-Amp circuitry)