I bring over a decade of interdisciplinary teaching experience across several disciplines, including Human–Computer Interaction, Computer Science, Design, and Management. My teaching spans lectures, studios, and lab-based courses, and I’ve worked with students in both small seminar settings and large-scale classrooms. My pedagogy emphasizes student-centered reflective and scaffolding practices that encourage students to critically engage with real world complexities, while learning to design and build technical solutions.
Overview
Courses
​Huge volumes of data are generated, stored and analyzed to drive complex technical and business decisions by providing actionable insights. To achieve this end-users across the industry, need to visualize the data in diverse representations and perform explanatory and exploratory analysis. The course will provide a graduate-level exposure to Data Visualization, as a human perception friendly approach to convey concepts and analysis based on appropriately presented field data. It will systematically introduce building blocks, including types of data, visual elements and design approaches with many examples; provide a basic introduction to the latest visualization software tools as well as programming technologies, such as R, D3, and Tableau; and review several case studies of their application in producing business intelligence.
Instructor | Fall 2024