Mathematics, Statistics, Computer Science, Data Science, Engineering, Economics, Physics, or any major with an interest in mathematical modeling, problem-solving, and data analysis.
-First Year Students (new to ASU Fall 2025)
-2nd Year Students
-3rd Year Students
-ASU Online Barrett Honors Students (fully remote work)
-4th Year Students- Seniors
-2nd Year Students
-3rd Year Students
-ASU Online Barrett Honors Students (fully remote work)
-4th Year Students- Seniors
209
Fully remote/Remote considered
This project explores how core ideas from discrete mathematics, such as graphs, sets, logic, and algorithms, are used in modern data science applications. Students will work with real-world datasets (e.g., social networks, transportation systems, or interaction networks) and model them using discrete structures like graphs and trees. Using Python, students will analyze connectivity, paths, centrality measures, and patterns within the data, and create visualizations to communicate their findings.
The project emphasizes both mathematical reasoning and computational thinking. Students will gain hands-on experience using Python libraries such as pandas, networkx, and matplotlib, while strengthening their understanding of discrete math concepts covered in coursework. No prior data science experience is required, but comfort with basic programming is helpful. The project culminates in a written report and a reproducible Jupyter notebook that can serve as a portfolio piece.
Number of Students: 3–5
Faculty Lead: Neha Joshi, School of Mathematical and Statistical Sciences
The project emphasizes both mathematical reasoning and computational thinking. Students will gain hands-on experience using Python libraries such as pandas, networkx, and matplotlib, while strengthening their understanding of discrete math concepts covered in coursework. No prior data science experience is required, but comfort with basic programming is helpful. The project culminates in a written report and a reproducible Jupyter notebook that can serve as a portfolio piece.
Number of Students: 3–5
Faculty Lead: Neha Joshi, School of Mathematical and Statistical Sciences
No prior programming or advanced math experience is required. We are looking for students who are curious, motivated, and interested in exploring discrete mathematics and data analysis. Familiarity with basic algebra, graph theory or willingness to learn Python is helpful but not required. Students should be comfortable working collaboratively and thinking critically about problems.
Neha Joshi
Flexible to remote and/or in-person