APMT
1950

Quantitative Reasoning 1

Parsons Paris: Parsons Paris

Non-Liberal Arts
Undergraduate Course
Degree Students (with Restrictions)
Quantitative Reasoning 1
Spring 2024
Taught By: Asheley Gao
Section: PC1

CRN: 14244

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their applications to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts.

College: Parsons Paris (CP)

Department: Parsons Paris (PPAR)

Campus: Paris (PC)

Course Format: Lecture (L)

Modality: In-Person

Max Enrollment: 15

Add/Drop Deadline: February 4, 2024 (Sunday)

Online Withdrawal Deadline: April 18, 2024 (Thursday)

Seats Available: Yes

Status: Closed*

* Status information is updated every few 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: 6:22pm EDT 4/17/2024

Meeting Info:
Days: Tuesday
Times: 9:00am - 11:40am
Building: Parsons Paris
Room: 500
Date Range: 1/23/2024 - 5/14/2024
Quantitative Reasoning 1
Spring 2024
Taught By: Asheley Gao
Section: PC2

CRN: 14245

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their applications to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts.

College: Parsons Paris (CP)

Department: Parsons Paris (PPAR)

Campus: Paris (PC)

Course Format: Lecture (L)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: February 4, 2024 (Sunday)

Online Withdrawal Deadline: April 18, 2024 (Thursday)

Seats Available: Yes

Status: Closed*

* Status information is updated every few 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: 6:22pm EDT 4/17/2024

Meeting Info:
Days: Thursday
Times: 9:00am - 11:40am
Building: Parsons Paris
Room: 501
Date Range: 1/25/2024 - 5/16/2024
Days: Saturday
Times: 9:00am - 11:40am
Building: Parsons Paris
Room: 501
Date Range: 3/30/2024 - 3/30/2024