APMT
2950

Quantitative Reasoning 2

Parsons Paris: Parsons Paris

Liberal Arts
Undergraduate Course
Degree Students
Quant. Reasoning 2
Fall 2024
Taught By: Emily Song
Section: PC1

CRN: 15604

Credits: 3

Quantitative Research Methods aims to develop students’ skills in identifying a research question, then finding, analyzing, and presenting quantitative information in support of an argument or project. Building upon QR1’s numerical and quantitative skills, this course will focus on quantitative research methods and skills, including elements of statistical analysis and their application to business and social sciences. Students will develop an ability to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized publications; they will also gain familiarity with the use of large data sets.

College: Parsons Paris (CP)

Department: Parsons Paris (PPAR)

Campus: Paris (PC)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: September 9, 2024 (Monday)

Online Withdrawal Deadline: November 17, 2024 (Sunday)

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: 7:56pm EDT 6/21/2024

Meeting Info:
Days: Monday
Times: 9:00am - 11:40am
Building: Parsons Paris
Room: 501
Date Range: 8/26/2024 - 12/9/2024
Quant. Reasoning 2
Fall 2024
Taught By: Emily Song
Section: PC2

CRN: 15605

Credits: 3

Quantitative Research Methods aims to develop students’ skills in identifying a research question, then finding, analyzing, and presenting quantitative information in support of an argument or project. Building upon QR1’s numerical and quantitative skills, this course will focus on quantitative research methods and skills, including elements of statistical analysis and their application to business and social sciences. Students will develop an ability to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized publications; they will also gain familiarity with the use of large data sets.

College: Parsons Paris (CP)

Department: Parsons Paris (PPAR)

Campus: Paris (PC)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 18

Add/Drop Deadline: September 9, 2024 (Monday)

Online Withdrawal Deadline: November 17, 2024 (Sunday)

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: 7:56pm EDT 6/21/2024

Meeting Info:
Days: Monday
Times: 12:30pm - 3:10pm
Building: Parsons Paris
Room: 501
Date Range: 8/26/2024 - 12/9/2024