Modeling Quantitative Data

Eugene Lang College Lib Arts: Natural Sciences & Mathematics

Liberal Arts

Undergraduate Course

Degree Students

Modeling Quantitative Data

Spring 2021

Taught By: Debasmita Basu

Section: A

CRN: 9318

Credits: 3

This course combines quantitative reasoning and mathematical modeling. Students will model quantitative data to find patterns, make future predictions, measure complex phenomena, and answer big, messy, reality-based questions central to human development, including climate change, social progress, equity, participation and freedom, sustainability, and human security. Students will explore quantitative research methodologies to understand how to choose, apply, interpret, appropriate statistical analysis for practical data problems, and represent the outcome through optimal data visualization methods. This course will also provide students with exposure to data visualization and analysis tools such as Microsoft Excel and Tableau and the statistical package R to model, understand, and critique a wide variety of data.This class is a substitute for Math Models in Nature which is a requirement for IS and ES students.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Course Format: Seminar (R)

Max Enrollment: 21

Add/Drop Deadline: February 8, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

Seats Available: Yes

Status: Closed*

* Status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 12:57am 7/1/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021