Ajay Kulkarni, Ph.D.

TEACHING

Instructor of Record, George Mason University

Average Rating of the Teaching: 5/5

Teaching Assistant, George Mason University & James Madison University

Instructor of Record, George Mason University

Average Rating of the Teaching: 4.75/5

Instructor of Record, George Mason University

Average Rating of the Teaching: 4.58/5

Instructor of Record, George Mason University

Instructor of Record, George Mason University

Average Rating of the Teaching: 4.85/5

Instructor of Record, George Mason University

Instructor of Record, George Mason University

Average Rating of the Teaching: 4.72/5

Instructor of Record, George Mason University

Average Rating of the Teaching: 4.59/5

Introduction to Computational and Data Sciences (CDS 101): This is an introductory undergraduate course that teaches how to use R for data analysis. For this course, new interactive tutorials on Data Wrangling and Exploratory Data Analysis were developed.
Introduction to Computational and Data Sciences Lab (CDS 102): This is an introductory undergraduate course that was redeveloped for the online version of the class. Additionally, a new lab was introduced in CDS 102, which introduces interactive visualizations and thier utilization on the flexdashboard dashboard.
Scientific Information and Data Visualization (CDS 501): This is an advanced undergraduate course for which I outlined and developed new assignments. Also, datasets and dashboards from different domains are collected to enhance the understanding of visualizations.

George Mason University

George Mason University

George Mason University

George Mason University

George Mason University

George Mason University