APMT
2950

Quantitative Reasoning 2

Parsons Paris: Parsons Paris

Liberal Arts
Undergraduate Course
Degree Students
Quant. Reasoning 2
Fall 2023
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 11, 2023 (Monday)

Online Withdrawal Deadline: November 19, 2023 (Sunday)

Seats Available: Yes

* Seats available but reserved for a specific population.

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: 3:48am EST 2/25/2024

Meeting Info:
Days: Monday
Times: 3:25pm - 6:05pm
Building: Parsons Paris
Room: 201
Date Range: 8/28/2023 - 12/11/2023
Quant. Reasoning 2
Fall 2023
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 11, 2023 (Monday)

Online Withdrawal Deadline: November 19, 2023 (Sunday)

Seats Available: Yes

* Seats available but reserved for a specific population.

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: 3:48am EST 2/25/2024

Meeting Info:
Days: Tuesday
Times: 12:30pm - 3:10pm
Building: Parsons Paris
Room: 500
Date Range: 8/29/2023 - 12/12/2023