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

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: November 20, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 8/30/2022 - 12/15/2022

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: November 20, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 12:20pm - 1:35pm

Building: Online Course

Room: 999

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: November 20, 2022 (Sunday)

Seats Available: Yes

Status: Open*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: TBD

Room: TBD

Date Range: 8/29/2022 - 12/12/2022

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Hoyeon Lee

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Academic Entrance 63 Fifth Ave

Room: 311

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Ignacia Castellon Ramirez

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Academic Entrance 63 Fifth Ave

Room: 311

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 2:10pm - 3:25pm

Building: Academic Entrance 63 Fifth Ave

Room: 311

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Christopher Famighetti

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 5:30pm - 6:45pm

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

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 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 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Jessica Davidson

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 2:10pm - 3:25pm

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Omer Leshem

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Academic Entrance 63 Fifth Ave

Room: 503

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Emanuele Citera

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: Academic Entrance 63 Fifth Ave

Room: 503

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Aida Farmand

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 4:00pm - 5:15pm

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Laura Mourino

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 4:00pm - 5:15pm

Building: Academic Entrance 63 Fifth Ave

Room: 311

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

Quant. Reasoning II: QRM+DV

Spring 2022

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 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 6, 2022 (Sunday)

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: Academic Entrance 63 Fifth Ave

Room: 311

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Jessica Davidson

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 12:20pm - 1:35pm

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Daniel Holstein

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)

Modality: In-Person

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: Eugene Lang 65 W11th

Room: 050

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

Quant. Reasoning II: QRM+DV

Spring 2022

Taught By: Amit Roy

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)

Modality: Online - Synchronous

Max Enrollment: 21

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

Online Withdrawal Deadline: April 17, 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: 8:26pm 6/26/2022 EDT

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: Online Course

Room: 999

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