Code Notebooks 

We have created a set of Python notebooks that are useful for students and teachers to understand key concepts in computer vision and computational photography. These notebooks can be downloaded and then uploaded into Google Colaboratory (https://colab.google/). These notebooks have little to no programming involved, and can be directly used by anyone who has a Google account.

Link to Notebooks: https://github.com/ImagingLyceum-ASU/ImageSTEAM-notebooks

Advanced: To program these Colab notebooks, we created our own python package/library which we call ImageSTEAM which can be utilized to import into your own Colab/Jupyter notebooks. This is valuable for those Python proficient instructors and students who wish to make their own custom notebooks. 

Link to ImageSTEAM python package: https://github.com/ImagingLyceum-ASU/ImageSTEAM

Reference

If you use these notebooks or python package in your work, please consider citing our paper which explains more: 

Suren Jayasuriya, Kimberlee Swisher, Joshua Rego, Sreenithy Chandran, John Mativo, Terri Kurz, Cerenity Collins, Dawn Robinson, Ramana Pidaparti, ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons, The 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24) 2024 [pdf] 

Bibtex: 

@inproceedings{jayasuriya2024imagesteam, title={ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons}, author={Jayasuriya, Suren and Swisher, Kimberlee and Rego, Joshua D and Chandran, Sreenithy and Mativo, John and Kurz, Terri and Collins, Cerenity E and Robinson, Dawn T and Pidaparti, Ramana}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={38}, number={21}, pages={23101--23109}, year={2024}}