APMT
1950

Quantitative Reasoning 1

Parsons Paris: Paris Mathematics

Non-Liberal Arts
Undergraduate Course
Degree Students (with Restrictions)
Quantitative Reasoning 1
Spring 2023 - Paris
Taught By: Maurits Montanez
Section: PC2

CRN: 10597

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: Paris Mathematics (APMT)

Campus: Paris (PC)

Course Format: Lecture (L)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: January 29, 2023 (Sunday)

Online Withdrawal Deadline: April 16, 2023 (Sunday)

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: 3:56pm EDT 9/30/2023

Meeting Info:
Days: Friday
Times: 12:30pm - 3:10pm
Building: Parsons Paris
Room: 501
Date Range: 1/20/2023 - 5/12/2023
Quantitative Reasoning 1
Spring 2023 - Paris
Taught By: Hubert Saint Olive
Section: PC1

CRN: 3935

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: Paris Mathematics (APMT)

Campus: Paris (PC)

Course Format: Lecture (L)

Modality: In-Person

Max Enrollment: 15

Add/Drop Deadline: January 29, 2023 (Sunday)

Online Withdrawal Deadline: April 16, 2023 (Sunday)

Seats Available: No

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: 3:56pm EDT 9/30/2023

Meeting Info:
Days: Tuesday
Times: 3:25pm - 6:05pm
Building: Parsons Paris
Room: 301
Date Range: 1/17/2023 - 5/9/2023