Lecturer: Ehud Elnekave

Molecular epidemiology of Bacterial pathogens of livestock origin – Theory and practice. 

Lecturer: Masha Niv

Info: Protein structure modeling and visualization

Lecturer: Tamar Friedlander 

Lecturer: David Helman

Info: Python and GEE

Lecturer: Yair Mau 

info: Data analysis of hydrological time series

with Python+ Pandas

Lecturer: Nadav Kashtan

Interdisciplinary approaches to study the plant microbiome – Genomics, Microscopy and Modeling

Arduino, Raspberry Pi, time series analysis, Python, Jupyter Notebooks, GitHub

lecturers: Eran Tas, Nimrod Schwartz, Yair Mau 

Lecturer: Tamar Friedlander & Orek Forkush

Lecturer : Dr. Yonatan Friedman

In recent years, there has been a dramatic increase in the amount of data generated in the world, and data science has become an major discipline with numerous applications across science and industry.
The course introduces the mathematical foundations and computational tools used in data science by combining theoretical lectures with hands-on experience using Python for the analysis and visualization of datasets related to agriculture, food, and the environment.

lecturers: Asaf Levy