Week 1

Overview: The day began with a welcoming breakfast taco session in the NRC Foyer, followed by a comprehensive campus tour with a photo session. The morning continued with a series of introductions, including welcome addresses from CBI, the Department of Computer Science, and AgriLife CC, as well as introductions for project teams, participants, and postdoc/graduate student workers. The day concluded with a BBQ lunch and an overview of the summer program, including project goals, objectives, schedule, expectations, and logistics.

Objective: By the end of the day, students had a clear understanding of the program structure, the resources available, project details, and logistical information. They felt welcomed into the program and were equipped with the necessary knowledge to navigate their internship experience successfully.

Overview: The day commenced with the initiation of project three training, focusing on topics such as GIS (Geographic Information Systems), precision agriculture, and spatial data analysis. Students delved into the fundamentals of GIS, understanding its applications in agriculture. They learned about ArcGIS and its various products, exploring functionalities for data visualization, analysis, and mapping.

Objective: By the end of the day, students had gained foundational knowledge in GIS, precision agriculture concepts, and spatial data analysis techniques. They were introduced to ArcGIS software and its capabilities, setting the stage for deeper exploration and application in their internship projects.

Overview: On the third day, students continued their exploration of ArcGIS by integrating datasets and performing analysis. They learned to combine different data sources for web maps and web apps in ArcGIS to create interactive visualization. Furthermore, they worked with simulated real-time data by creating dashboards, enhancing their skills in dynamic data visualization and interpretation.

Objective: By the end of the day, students had acquired practical experience in integrating datasets, conducting analysis, and visualizing results using ArcGIS. They demonstrated proficiency in utilizing web map and web app features for interactive data presentation and gained insight into creating dashboards for real-time data monitoring and decision-making purposes.

Overview: Thursday marked a special occasion as students participated in the 50th-year anniversary celebration of the TAMU-CC AgriLife Center. They embarked on a journey across various sites within the center, immersing themselves in the diverse areas of research currently underway. Guided by professors and center members, students delved into the rich history of the center and gained insights into future projects and advancements planned on-site.

Objective: By the end of the day, students had gained a comprehensive understanding of the TAMU-CC AgriLife Center's pivotal role in agricultural research. They learned about ongoing projects, technological innovations, and economic considerations shaping the future of agriculture. Through engagement with experts and firsthand experiences, students were inspired to envision their potential contributions to the agricultural industry.

Overview: The day began with an engaging data science workshop aimed at introducing students to essential features in data analysis and data science methodologies. Students delved into the fundamentals of Python programming language, focusing on libraries such as NumPy and Pandas for data manipulation and analysis. Following the workshop, students embarked on a tour of the LoneStar UAS (Unmanned Aircraft Systems) Center, gaining insights into cutting-edge technologies and applications in the field of unmanned aerial systems.

Objective: By day's end, students gained foundational data science knowledge, such as Python basics and key libraries like NumPy and Pandas. The LoneStar UAS Center tour enriched their understanding of cutting-edge technology applications, fostering interdisciplinary insights for their internship projects.