The Explorations Course introduces participants to foundational concepts in data science, AI, and human-centered problem-solving using accessible, no-code approaches. Each class session or superskill workshop is supported by experiential learning studios, where participants work in small, mixed groups of students and working professionals under faculty mentorship.
Sessions are organized around themes rather than a fixed syllabus, allowing the course to adapt to each cohort’s interests and to emerging tools and questions.
2025 – 2026 Cohort – Fall Topics
Data and Analytics in the Age of AI
Topic description TBD
Experiential Learning Studio: No-coding tools for data and AI analytics
In the age of Data and AI (Design thinking 1)
Topic description TBD
Experiential Learning Studio: Framing a problem statement
Exploratory Data Analysis in AI
Topic description TBD
Experiential Learning Studio: TBD
Understanding and Addressing Bias (Workshop 1)
Topic description TBD
Experiential Learning Studio: TBD
Flawed Assessment (Worskop 2)
Topic description TBD
Experiential Learning Studio: TBD
2025 – 2026 Cohort – Spring Topics
Data Visualization and Data Storytelling
Topic description TBD
Experiential Learning Studio: TBD
Mission Possible (Workshop 3)
Topic description TBD
Experiential Learning Studio: TBD
Overview of Capstone Project and Internships
Topic description TBD
Experiential Learning Studio: TBD
How AI Works: Fundamentals of Machine Learning
Topic description TBD
Experiential Learning Studio: TBD
Human Centered Interaction and 3 Statistical Modeling (Design thinking 2)
Topic description TBD
Experiential Learning Studio: TBD
Cybersecurity Fundamentals (Workshop 4)
Topic description TBD
Facilitated by KC7 Foundation Inc.