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 2022

Taught By: Faculty TBA

Section: A

CRN: 8504

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 2:10pm - 3:25pm

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: D

CRN: 2787

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 4:00pm - 5:15pm

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: E

CRN: 2788

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 5:30pm - 6:45pm

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 2:10pm - 3:25pm

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 12:20pm - 1:35pm

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: J

CRN: 11607

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: TBD

Room: TBD

Date Range: 1/24/2022 - 5/16/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: M

CRN: 11610

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

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 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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: O

CRN: 11612

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 4:00pm - 5:15pm

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Faculty TBA

Section: P

CRN: 11613

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)

Max Enrollment: 21

Add/Drop Deadline: February 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/25/2022 - 5/12/2022

Quant. Reasoning II: QRM+DV

Fall 2021

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)

Max Enrollment: 21

Add/Drop Deadline: September 13, 2021 (Monday)

Online Withdrawal Deadline: November 21, 2021 (Sunday)

Seats Available: Yes

Status: Closed*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 12:20pm - 1:35pm

Building: Academic Entrance 63 Fifth Ave

Room: 311

Date Range: 8/31/2021 - 12/16/2021

Quant. Reasoning II: QRM+DV

Fall 2021

Taught By: Amit Roy

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)

Max Enrollment: 21

Add/Drop Deadline: September 13, 2021 (Monday)

Online Withdrawal Deadline: November 21, 2021 (Sunday)

Seats Available: Yes

Status: Closed*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 12:20pm - 1:35pm

Building: Academic Entrance 63 Fifth Ave

Room: 312

Date Range: 8/31/2021 - 12/16/2021

Quant. Reasoning II: QRM+DV

Fall 2021

Taught By: John Park

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)

Max Enrollment: 21

Add/Drop Deadline: September 13, 2021 (Monday)

Online Withdrawal Deadline: November 21, 2021 (Sunday)

Seats Available: Yes

Status: Closed*

* Status information is updated every five 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: 6:58pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Academic Entrance 63 Fifth Ave

Room: 312

Date Range: 8/30/2021 - 12/13/2021

Quant. Reasoning II: QRM+DV

Summer 2021

Taught By: Lindsey Holder

Section: B

CRN: 2560

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: Online (DL)

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: June 7, 2021 (Monday)

Online Withdrawal Deadline: July 28, 2021 (Wednesday)

Seats Available: Yes

Status: Closed*

* Status information is updated every five 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: 6:56pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 12:10pm - 2:00pm

Building: Online Course

Date Range: 6/2/2021 - 8/11/2021

Quant. Reasoning II: QRM+DV

Summer 2021

Taught By: Laura Mourino

Section: A

CRN: 2559

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: Online (DL)

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: June 7, 2021 (Monday)

Online Withdrawal Deadline: July 28, 2021 (Wednesday)

Seats Available: No

Status: Closed*

* Status information is updated every five 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: 6:56pm 10/25/2021 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 9:00am - 10:50am

Building: Online Course

Date Range: 6/2/2021 - 8/11/2021