Quantitative Reasoning 1
Parsons Paris: Parsons Paris
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 3, 2025 (Monday)
Online Withdrawal Deadline: April 17, 2025 (Thursday)
Seats Available: Yes
Status: Open*
* 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: 12:38am EDT 10/13/2024
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 3, 2025 (Monday)
Online Withdrawal Deadline: April 17, 2025 (Thursday)
Seats Available: Yes
Status: Open*
* 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: 12:38am EDT 10/13/2024