Courses Taught

Quantitative Reasoning I. (LMTH 1950) 

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.

Semesters Taught: Spring 2026, Fall 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Spring 2020, Fall 2019. 

Quantitative Reasoning II: Research Methods and Data Visualization (LMTH 2014) 

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.

Semesters Taught: Spring 2026, Spring 2025, Spring 2024, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Spring 2021, Fall 2020, Spring 2020. 

Modeling Quantitative Data (LMTH 2055) 

This course combines quantitative reasoning and mathematical modeling. Students will model quantitative data to find patterns, make future predictions, measure complex phenomena, and answer big, messy, reality-based questions central to human development, including climate change, social progress, equity, participation and freedom, sustainability, and human security.  Students will explore quantitative research methodologies to understand how to choose, apply, interpret, appropriate statistical analysis for practical data problems, and represent the outcome through optimal data visualization methods. This course will also provide students with exposure to data visualization and analysis tools such as Microsoft Excel and Tableau and the statistical package R to model, understand, and critique a wide variety of data.

Semesters Taught: Spring 2025, Spring 2024, Spring 2023, Spring 2022, Spring 2021.