Teaching
I teach and assist in courses that combine environmental science, data analysis, and hands-on engineering.
Below are some of the classes I lead or support at the Hebrew University.
Agrotech Lab (Lecturer)
A project-based course on IoT and embedded systems in agriculture.
Agrotech Lab guides students through designing, building, and deploying real-world sensing systems for environmental and agricultural applications.
Students work with microcontrollers, wireless communication, sensors, and embedded programming to create functional prototypes that solve practical field challenges.
The course emphasizes problem-solving, rapid prototyping, teamwork, and data-driven decision-making.
👉 Course website
Time Series Analysis (Teaching Assistant)
A graduate-level introduction to statistical and computational methods for time-series data.
This course covers classical and modern methods for analyzing temporal data, including autoregressive models, spectral methods, forecasting techniques, and practical applications in environmental and ecological sciences.
I assist with tutorials, code demonstrations, and student projects, with a focus on Python workflows and hands-on analysis.
👉 Course page
Introduction to Data Science (Teaching Assistant)
An applied introduction to programming, statistics, and data analysis for scientists.
The course introduces essential tools for data-driven research: Python programming, data manipulation, visualization, basic statistical modeling, and reproducible workflows.
I support students through exercises, coding sessions, and project development, with emphasis on real-world datasets and effective scientific computing.
👉 Course materials