LMTH
2014

Quantitative Reasoning II: Research Methods and Data Visualization

Eugene Lang College Lib Arts: Natural Sciences & Mathematics

Liberal Arts
Undergraduate Course
Degree Students
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Nur Dean
Section: F

CRN: 2789

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: Online - Synchronous

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 8:30am - 9:45am
Building: Online Course
Room: 999
Date Range: 1/24/2023 - 5/11/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Christopher Famighetti
Section: G

CRN: 7361

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 2:10pm - 3:25pm
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 1/24/2023 - 5/11/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Nur Dean
Section: H

CRN: 9718

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 503
Date Range: 1/24/2023 - 5/11/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: John Park
Section: K

CRN: 11608

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Monday, Wednesday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 503
Date Range: 1/23/2023 - 5/15/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Daniel Holstein
Section: N

CRN: 11611

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 200
Date Range: 1/24/2023 - 5/11/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Barbara Schuster
Section: B

CRN: 2785

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Monday, Wednesday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 1/23/2023 - 5/15/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Debasmita Basu
Section: C

CRN: 2786

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Monday, Wednesday
Times: 2:10pm - 3:25pm
Building: Academic Entrance 63 Fifth Ave
Room: 503
Date Range: 1/23/2023 - 5/15/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: Daniel Holstein
Section: I

CRN: 9723

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 12:20pm - 1:35pm
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 1/24/2023 - 5/11/2023
Quant. Reasoning II: QRM+DV
Spring 2023
Taught By: John Park
Section: L

CRN: 11609

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: February 5, 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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Monday, Wednesday
Times: 12:20pm - 1:35pm
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 1/23/2023 - 5/15/2023
Quant. Reasoning II: QRM+DV
Fall 2022
Taught By: Nur Dean
Section: A

CRN: 2976

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications.They will also gain expertise with the use of large data sets.Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective for the Interdisciplinary Science major.Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: September 12, 2022 (Monday)

Online Withdrawal Deadline: December 18, 2022 (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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 8/30/2022 - 12/15/2022
Quant. Reasoning II: QRM+DV
Fall 2022
Taught By: Debasmita Basu
Section: C

CRN: 8171

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications.They will also gain expertise with the use of large data sets.Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective for the Interdisciplinary Science major.Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: In-Person

Max Enrollment: 21

Add/Drop Deadline: September 12, 2022 (Monday)

Online Withdrawal Deadline: December 18, 2022 (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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Monday, Wednesday
Times: 10:15am - 11:30am
Building: Academic Entrance 63 Fifth Ave
Room: 311
Date Range: 8/29/2022 - 12/12/2022
Quant. Reasoning II: QRM+DV
Fall 2022
Taught By: Daniel Holstein
Section: B

CRN: 2977

Credits: 3

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications.They will also gain expertise with the use of large data sets.Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective for the Interdisciplinary Science major.Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Seminar (R)

Modality: Online - Synchronous

Max Enrollment: 21

Add/Drop Deadline: September 12, 2022 (Monday)

Online Withdrawal Deadline: December 18, 2022 (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: 5:18pm EST 2/6/2023

Shared Capacities Quant Reasoning
Meeting Info:
Days: Tuesday, Thursday
Times: 12:20pm - 1:35pm
Building: Online Course
Room: 999
Date Range: 8/30/2022 - 12/15/2022