Computational Thinking with Data

Background:

This course emphasizes using computation to gain insight into behaviors and environmental‑evolution patterns by analyzing fossil specimens collected from Guangxi Autonomous Region. Students will get a chance to collect your own fossil sample from the field and learn computational thinking and quantitative reasoning to examine how changes in environmental conditions—such as climate variability—relate to morphological patterns and diversity in the fossil record.

Program locations: Guangxi Autonomous Region

Duration: 4 – 14 January, 2026

Study Language: English

Accreditation: 2 credits

Calculated as 1 credit per 16 contact hours (1 contact hour = 45 minutes)

Eligibility: Basic experience python (numpy, scikit-learn, pandas, etc.) is required

Slot: 10

Testimonials:

Though two weeks of study may seem brief, our journey from the basics of image annotation to model training has offered a profound glimpse into the research process of data science. It has provided me with an opportunity to actively pursue knowledge and exploration. The experiential learning gained from this immersion is invaluable for shaping my future career path. I eagerly anticipate engaging in further practical leaning experiences across various domains.

— Yerui Huang, Sophomore at JI

The two-day trip to Xishuangbanna was brief yet unforgettable. Upon returning to Kunming, we resumed our studies related to data. We further explored methods of detecting various animals and visualizing the data. Throughout this learning experience, we gained a wealth of knowledge on how to formulate questions, design models, solve problems, and present findings. In the future, we aim to apply the skills learned during the winter program to more projects.

— Jiachen Lyu, Junior at JI