LMTH

1950

Quantitative Reasoning

Eugene Lang College Lib Arts: Natural Sciences & Mathematics

Liberal Arts

Undergraduate Course

Degree Students

Quant. Reasoning 1

Spring 2020

Taught By: Faculty TBA

Section: A

CRN: 1677

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:47am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: TBD

Room: TBD

Date Range: 1/21/2020 - 5/7/2020

Quant. Reasoning 1

Spring 2020

Taught By: Faculty TBA

Section: B

CRN: 1678

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:47am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 12:00pm - 1:15pm

Building: TBD

Room: TBD

Date Range: 1/21/2020 - 5/7/2020

Quantitative Reasoning I

Spring 2020

Taught By: Faculty TBA

Section: C

CRN: 3218

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:47am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 2:00pm - 3:15pm

Building: TBD

Room: TBD

Date Range: 1/21/2020 - 5/7/2020

Quant. Reasoning 1

Fall 2019

Taught By: John Park

Section: A

CRN: 1715

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Carol Overby

Section: C

CRN: 2463

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Debasmita Basu

Section: D

CRN: 2464

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 12:20pm - 1:35pm

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Debasmita Basu

Section: F

CRN: 2466

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 4:00pm - 5:15pm

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Steven Bollon

Section: G

CRN: 2467

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/27/2019 - 12/12/2019

Quant. Reasoning 1

Fall 2019

Taught By: Faculty TBA

Section: I

CRN: 8045

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 8:30am - 9:45am

Building: Eugene Lang 65 W11th

Room: 261

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Mayra Cotta Cardozo De Souza

Section: J

CRN: 8046

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 8:30am - 9:45am

Building: Eugene Lang 65 W11th

Room: 261

Date Range: 8/27/2019 - 12/12/2019

Quant. Reasoning 1

Fall 2019

Taught By: Faculty TBA

Section: K

CRN: 8047

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Open*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 5:30pm - 6:45pm

Building: Eugene Lang 65 W11th

Room: 258

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: John Park

Section: B

CRN: 1716

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Waitlist*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Monday, Wednesday

Times: 10:15am - 11:30am

Building: Eugene Lang 65 W11th

Room: 261

Date Range: 8/26/2019 - 12/16/2019

Quant. Reasoning 1

Fall 2019

Taught By: Steven Bollon

Section: H

CRN: 3799

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Closed*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 10:15am - 11:30am

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/27/2019 - 12/12/2019

Quant. Reasoning 1

Fall 2019

Taught By: Debasmita Basu

Section: E

CRN: 2465

Credits: 3

This course is designed to help students gain an understanding of fundamental numerical and quantitative skills and their application to everyday life. The focus will be on applying basic mathematical concepts to solve real-world problems, and to develop skills in interpreting and working with data in order that students become able to function effectively as professionals and engaged citizens. Topics will include problem-solving and back-of-the-envelope calculations, unit conversions and estimation, percentages and compound interest, linear and other models, data interpretation, analysis and visualization, basic principles of probability, and an introduction to quantitative research and statistics. Another important objective of the course is a clear introduction to and a development of appropriate working knowledge of MS-Excel as well as some of the software’s most common applications in a variety of contexts. This course is offered every semester and does not satisfy the math course requirements for the Interdisciplinary Science major.

College: Eugene Lang College Lib Arts (LC)

Department: Natural Sciences & Mathematics (LSTS)

Campus: New York City (GV)

Course Format: Lecture (L)

Max Enrollment: 20

Enrollment Status: Closed*

*Enrollment 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: 1:46am 8/19/2019

Meeting Info:

Days: Tuesday, Thursday

Times: 2:10pm - 3:25pm

Building: Eugene Lang 65 W11th

Room: 260

Date Range: 8/27/2019 - 12/12/2019