This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.

This course is aimed at developing students' ability to (i) identify a well-formed data- based research question, (ii) find, analyze and present the relevant quantitative information, using numerical summaries and data visualization techniques, in support of the pertinent argument, and (iii) to compile all results and construct a sophisticated data analysis project. Building upon QR-I's numerical and quantitative reasoning skills, this course focuses on quantitative research methods and related skills. Students will learn how to use the statistical package R to perform statistical analysis and data visualization, as well as their applications to business and social sciences. Students will be able to identify, understand, and critique primary and secondary research in industry, scholarly, government, and other specialized applications. They will also gain expertise with the use of large data sets. Particular emphasis is placed on issues and themes currently considered most central to human development including social progress, economics, efficiency, equity, participation and freedom, sustainability and human security. This course may be applied as an elective or the second math requirement for the Interdisciplinary Science major. Prerequisite: LMTH 1950 Quantitative Reasoning I or placement via the New School Quantitative Reasoning Assessment Test. Contact quantreasoning@newschool.edu regarding the QR Assessment Test.