Quantitative Reasoning II: Research Methods and Data Visualization
Eugene Lang College Lib Arts: Natural Sciences & Mathematics
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 18
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
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: 1:06pm EST 12/2/2024
CRN: 15873
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
CRN: 14743
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: Yes
* Seats available but reserved for a specific population.
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: No
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 (NSM)
Campus: Online (DL)
Course Format: Seminar (R)
Modality: Online - Synchronous
Max Enrollment: 21
Add/Drop Deadline: February 3, 2025 (Monday)
Online Withdrawal Deadline: April 15, 2025 (Tuesday)
Seats Available: No
Status: Waitlist*
* 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: 1:06pm EST 12/2/2024
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 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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: September 9, 2024 (Monday)
Online Withdrawal Deadline: November 17, 2024 (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: 1:08pm EST 12/2/2024
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 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 (NSM)
Campus: New York City (GV)
Course Format: Seminar (R)
Modality: In-Person
Max Enrollment: 21
Add/Drop Deadline: September 9, 2024 (Monday)
Online Withdrawal Deadline: November 17, 2024 (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: 1:08pm EST 12/2/2024