Global Arc

Modern agriculture is the most environmentally consequential activity that humans engage in. It has a profound impact on climate change, soil quality, water availability and risk of pandemics. However, agriculture itself is highly sensitive to climate change. This course covers the challenges of climate change, food availability and health in India. Traditional and novel solutions to carbon sequestration, and livestock practices that offer alternatives to the use of antibiotics will be discussed. Students will meet scientific and policy experts who will describe how India will have to adapt to tackle its 21st century challenges.

This seminar, taught at University of Tokyo, with students from Princeton University and the University of Tokyo, focuses on developing an understanding of contemporary Japanese and Chinese societies - their histories, cultures, politics, and economies - through lectures, readings, discussions, and tours in Japan and Hong Kong. Excursions include an overnight trip to rural Japan to examine the role of population aging and rural depopulation on peripheral regions and a three-day trip to Hong Kong to experience a rapidly changing Chinese cultural setting.

A four-week intensive language course in Seoul, South Korea, equivalent to KOR 105. Intermediate Korean is designed for students who have learned the basics of the Korean language and want to improve their language skills. Complex sentences and grammar are covered while the basics are reviewed. Balancing four language skills -- listening, speaking, reading, and writing -- is emphasized. Journals are kept to practice better self-expression in Korean. Cultural aspects of language learning are reinforced through readings, media, and virtual reality content.

A continuation of KOR 105K, this is a four-week intensive language course in Seoul, South Korea, equivalent to KOR 107. Continued development of four skills (speaking, listening, reading, and writing) in Korean. Complex grammatical structures are taught while the basics are reviewed. Idiomatic expressions are introduced. Journals are kept for writing practice.

A six-week intensive introduction to Attic Greek as written and spoken in 5th cent. BCE Athens. This course is equivalent to CLG101/102, and will allow you to enroll in CLG105 in the Fall. Students can expect daily assignments and quizzes, practice with reading Greek and a brisk pace through ancient Greek grammar and syntax.

Data-driven decision-making, research discovery, and technology development are everywhere. It is now more important than ever for individuals to understand how data are used for these purposes. This course will introduce the student to how statistical reasoning and methods are used to learn from and leverage modern data. The emphasis will be on concepts and strategies for learning from data, rather than on sophisticated mathematics. Students will be exposed to the basics of statistics, machine learning, and data science through real world problems and applications. Students will also analyze data sets using the computer.

Introduction to Data Science provides a practical introduction to the burgeoning field of data science. The course introduces students to the essential tools for conducting data-driven research, including the fundamentals of programming techniques and the essentials of statistics. Students will work with real-world datasets from various domains; write computer code to manipulate, explore, and analyze data; use basic techniques from statistics and machine learning to analyze data; learn to draw conclusions using sound statistical reasoning; and produce scientific reports. No prior knowledge of programming or statistics is required.

This course provides the training for students to be independent in modern data analysis. The course emphasizes the rigorous treatment of data and the programming skills and conceptual understanding required for dealing with modern datasets. The course examines data analysis through the lens of statistics and machine learning methods. Students verify their understanding by working with real datasets. The course also covers supporting topics such as experiment design, ethical data use, best practices for statistical and machine learning methods, reproducible research, writing a quantitative research paper, and presenting research results.

Project-based course in which students work individually or in small teams to tackle data science and ML problems based on real datasets. We will emphasize critical thinking about experiments and large dataset analysis along with the ability to clearly communicate one's research. This course is intended to support students in developing the analytical skills necessary for quantitative independent work; students should consult with their home department about how this course could appropriately complement, but not replace, their independent work requirements.

Project-based course in which students work individually/small teams to tackle DS and ML problems, working with real-world datasets.The course emphasizes critical thinking about experiments and dataset analysis and the ability to clearly communicate one's research. Programming components are taught in Python. Experience in only one of the two programming languages (R and Python) is required.This course is intended to support students in developing the analytical skills for quantitative independent work; students should consult with their home department about how this course could complement, not replace, their independent work requirements.