artwork credit

syllabus.md

@@ -26,7 +26,7 @@ In this course offering, collaborating domain specialists from the open source c
 Prerequisites: COMPSCI 171 and COMPSCI 178
 
 ### Acknowledgements
-This course is adapted from UC Berkeley's CS194-080 Full Stack Deep Learning, created by Sergey Karayev, Josh Tobin, and Pieter Abbeel with recent contributions from Charles Frye and Jake Knapp's The Sprint. The course research workflow is inspired by the 2023 Heliophysics Inovation in Technology and Science Solar Dynamics Observatory (HITS-SDO) SEARCH program coordinated by Subhamoy Chatterjee and Andres Jaramillo-Munoz of Southwest Research Institute. Finally, this quarter's research challenge would not be possible without the contributions of the IEEE Image Analysis and Data Fusion Technical Committee (IADFTC) of the Geoscience and Remote Sensing Society (GRSS) who worked with the wider community to put together remote sensing challenges through their annuall Data Fusion contests.
+This course is adapted from UC Berkeley's CS194-080 Full Stack Deep Learning, created by Sergey Karayev, Josh Tobin, and Pieter Abbeel with recent contributions from Charles Frye and Jake Knapp's The Sprint. The course research workflow is inspired by the 2023 Heliophysics Inovation in Technology and Science Solar Dynamics Observatory (HITS-SDO) SEARCH program coordinated by Subhamoy Chatterjee and Andres Jaramillo-Munoz of Southwest Research Institute. Course artwork was contributed by Naomi Valentin and Jazmine Encarnacion. Finally, this quarter's research challenge would not be possible without the contributions of the IEEE Image Analysis and Data Fusion Technical Committee (IADFTC) of the Geoscience and Remote Sensing Society (GRSS) who worked with the wider community to put together remote sensing challenges through their annuall Data Fusion contests.
 
 ### Lecture
 There are two sections for the course: