Global Arc

CHI 1001 and CHI 1002, are introductory Chinese courses for true beginners. This course will be taught at half the pace of instruction compared to Elementary Chinese (CHI 101/CHI 102). The goal of this course is to develop students' four basic communication skills: listening, speaking, reading, and writing, using both the Pinyin system, and simplified Chinese characters. After taking CHI 1001 and CHI 1002, students will have developed basic abilities to handle simple survival situations in Chinese, to read and write over 300 Chinese characters, and be well prepared for more advanced and intensive study in Chinese. Three hours of class.

Introductory Chinese (CHI 1002) is a continuation of CHI 1001, an introductory course for true beginners. It is taught at half the instructional pace of First Year Chinese (CHI 101). The goal of this course is to develop students' four basic communication skills: listening, speaking, reading, and writing, using both the Pinyin Romanization phonetic system and simplified (modern) Chinese characters. By the end of this course, students will be able to handle simple "survival situations" in Chinese, read and write over 300 Chinese characters, and engage in more advanced and intensive study of Chinese in the future.

FRE 1027 is an intensive double course designed to help students develop an active command of the language. Focus will be on reading and listening comprehension, oral proficiency, grammatical accuracy, and the development of reading and writing skills. A solid grammatical basis and awareness of the idiomatic usage of the language will be emphasized. Students will be introduced to various Francophone cultures through readings, videos, and films. Prerequisite: FRE 101 and permission of instructor. Five 90-minute classes. All classes are conducted in French.

Italian 1027 is an intensive double-credit course designed to help students develop an active command of the language by improving upon the five skills of speaking, listening, reading, writing and cultural competency in the interpretative, interpersonal, and presentational modes. The course emphasizes communication and grammatical structures through use of various forms of texts (literary, artistic, musical, cinematographic, etc.) in order to refine students' literacy. Prerequisite: Successful performance in ITA 101 and permission of instructor. Five 90-minute classes.

Is there a historical basis for the fierce ladies of 'Game of Thrones'? Why do modern depictions of medieval queens portray them as wickedly ambitious? In a variety of texts about the villainy and sanctity, eloquence and wit, humility and power of women--both real and imagined--this course will explore the long history of negative reactions to leading women, the multiple strategies by means of which such figures have asserted various kinds of authority, as well as what they have suffered in consequence. By unraveling the complex gender and power dynamics of the past we will also develop a better understanding of such issues in the present.

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.