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 2021

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Faculty TBA

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Nur Dean

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Daniel Abuabasa

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 5:30pm - 6:45pm

Building: Online Course

Date Range: 1/19/2021 - 5/10/2021

Quant. Reasoning II: QRM+DV

Spring 2021

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 8:30am - 9:45am

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Spring 2021

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 10:15am - 11:30am

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Faculty TBA

Section: I

CRN: 9719

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 10:15am - 11:30am

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Faculty TBA

Section: J

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Faculty TBA

Section: K

CRN: 9720

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment:

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Spring 2021

Taught By: Faculty TBA

Section: L

CRN: 9722

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment:

Add/Drop Deadline: February 1, 2021 (Monday)

Online Withdrawal Deadline: April 13, 2021 (Tuesday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Wednesday, Friday

Times: 12:20pm - 1:35pm

Building: Online Course

Date Range: 1/20/2021 - 5/7/2021

Quant. Reasoning II: QRM+DV

Fall 2020

Taught By: Nur Dean

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: September 14, 2020 (Monday)

Online Withdrawal Deadline: November 22, 2020 (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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Online Course

Date Range: 8/31/2020 - 12/16/2020

Quant. Reasoning II: QRM+DV

Fall 2020

Taught By: John Park

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: September 14, 2020 (Monday)

Online Withdrawal Deadline: November 22, 2020 (Sunday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Tuesday

Times: 12:10pm - 2:50pm

Building: Online Course

Date Range: 8/31/2020 - 12/14/2020

Quant. Reasoning II: QRM+DV

Fall 2020

Taught By: Debasmita Basu

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, including elements of 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 the Quantitative Reasoning Program at quantreasoning@newschool.edu, regarding the QR Assessment Test.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: Online (DL)

Sync Type: N/A

Course Format: Seminar (R)

Max Enrollment: 22

Add/Drop Deadline: September 14, 2020 (Monday)

Online Withdrawal Deadline: November 22, 2020 (Sunday)

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: 2:02pm 12/1/2020 EST

Meeting Info:

Days: Tuesday

Times: 12:10pm - 2:50pm

Building: Online Course

Date Range: 8/31/2020 - 12/14/2020