Classes

    History 1921/HLS 2700:The History of Law in Europe

    Semester: 

    Fall

    Offered: 

    2021
    Professor Tamar Herzog. This is a conference course on the history of law in Europe (including both England and the Continent, as well as Europe’s overseas domains) from the fall of the Roman Empire (5th century) to the establishment of the European Community (20th century). Organized chronologically, it engages with the sources and nature of Law, the organization of legal systems and the relationship between law and society, law and law-maker, law and the legal professions.

    History 2707: Comparative Slavery & the Law: Africa, Latin America, & the US: Seminar

    Semester: 

    Fall

    Offered: 

    2021
    Professors Emmanuel Akyeampong and Alejandro de la Fuente. This seminar surveys the booming historiographies of slavery and the law in Latin America, the United States, and Africa. Earlier generations of scholars relied heavily on European legal traditions to draw sharp contrasts between U.S. and Latin American slavery. The most recent scholarship, however, approaches the legal history of slavery through slaves' legal initiatives and actions. These initiatives were probably informed by the Africans' legal cultures, as many of them came from societies where slavery was... Read more about History 2707: Comparative Slavery & the Law: Africa, Latin America, & the US: Seminar

    AFRAMER 199X: Social Revolutions in Latin America

    Semester: 

    Spring

    Offered: 

    2022
    Professor Alejandro de la Fuente. This course seeks to explain why social revolutions have taken place in Latin America and analyzes their impact on the region. The objective is for students to gain a critical understanding of the origins, development, and impact of revolutionary movements in Latin America during the twentieth century. We will try to identify: (1) the historical factors that led to revolutions in the region (the so-called revolutionary situations); (2) the strategies followed by different movements and how successful they were; (3) the programs and... Read more about AFRAMER 199X: Social Revolutions in Latin America

    History 13E: History of Modern Mexico

    Semester: 

    Spring

    Offered: 

    2022
    Professor Kirsten Weld. This course explores the history of Mexico in the 19th and 20th centuries, emphasizing the importance of historical approaches to understanding critical phenomena in contemporary Mexican affairs. Topics covered include colonial legacies, race and ethnicity, the Mexican Revolution, the border, nation-building and development, Mexico-US relations, popular culture, economic crisis, the Zapatista rebellion, narco-violence and the "war on drugs," and migration.
     

    History 2510: History and Memory in Latin America: Seminar

    Semester: 

    Spring

    Offered: 

    2022
    Professor Kirsten Weld. In this seminar, participants will use archival resources available at Harvard to carry out original research on a topic of their choice related to the seminar theme of history and memory in Latin America. Early sessions will be devoted to a series of foundational readings; later sessions will be spent workshopping and presenting research-in-progress.

    ECON 50: Using Big Data to Solve Economic and Social Problems

    Semester: 

    Spring

    Offered: 

    2024

    This course will show how "big data" can be used to understand and address some of the most important social and economic problems of our time. In empirical projects and weekly labs, students will work with real data to learn how the methods discussed in the course can be implemented in practice. The course will give students an introduction to frontier research and policy applications in economics and social science in a non-technical manner that does not require prior coursework in economics or statistics, making it suitable both for students exploring economics for the first time, as...

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    MATH 1B: Calculus, Series, and Differential Equations

    Semester: 

    Fall

    Offered: 

    2023

    MATH 1B teaches fundamental mathematical skill that are absolutely needed in the physical sciences, life sciences, social sciences and economics, data science and the mathematical sciences (mathematics, statistics, computer science).  it will teach you how to think critically about data which is the first and most important thing you should do before you use any data (your own or some else’s).  Course prerequisites are:  Placement into MATH 1B on the Harvard Math placement test or successful completion of either Harvard’s MATH 1A or both...

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    MATH 21A: Multivariable Calculus

    Semester: 

    Fall

    Offered: 

    2023

    In Math 21a, we study how the ideas of single-variable calculus, such as differentiation and integration, can be extended to more than 1 variable; the mathematical tools we study are used widely in other fields such as economics, the physical sciences, and engineering. Throughout the course, we look at examples of real-world data and see how methods for analyzing it connect with multivariable calculus techniques; we also focus on critically assessing data, by developing good habits such as understanding and questioning data sources and identifying possible sources of error within data....

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    MATH 21B: Linear Algebra and Differential Equations

    Semester: 

    Fall

    Offered: 

    2023

    MATH 21B uses the concept of linear transformations to give students a foundation in linear algebra and differential equations, including both ordinary and partial differential equations. The content of Math 21b provides ample opportunities for students to work with real data sets: they will use least squares to fit many types of functions to data and to discuss how quantifying the error will help detect overfitting, use continuous dynamical systems to build models from data and make predictions about future behavior, explore the use of Fourier series to compress data, and learn how...

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    ECON 50A: Using Big Data to Solve Economic and Social Problems with Laboratory Component

    Semester: 

    N/A
    This course will show how "big data" can be used to understand and address some of the most important social and economic problems of our time. In empirical projects and weekly labs, students will work with real data to learn how the methods discussed in the course can be implemented in practice. The course will give students an introduction to frontier research and policy applications in economics and social science in a non-technical manner that does not require prior coursework in economics or statistics, making it suitable both for students exploring economics for the first time, as well... Read more about ECON 50A: Using Big Data to Solve Economic and Social Problems with Laboratory Component

    COMPSCI 109A: Data Science 1: Introduction to Data Science

    Semester: 

    Fall

    Offered: 

    2023

    APCOMP 209A/CS 109A/STAT 109A is an interdisciplinary course that relies on the data science process; the course equips students with computational, mathematical, and statistical methods for analyzing data, making inferences, and predicting outcomes, covering subject matter including tech, medicine, and pop culture. The course emphasizes not only theoretical understanding but also the practical application of these methods to real-world datasets, helping students recognize the value and impact of data in diverse fields. While no strict prerequisites are required, a fundamental...

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    MATH 1A: Introduction to Calculus

    Semester: 

    Fall

    Offered: 

    2023

    MATH 1a uses a function based approach to model real world phenomena and explore the concepts of rate of change (derivate) and net change (integration). Students are asked to explore real data sets in various ways: to determine the appropriate function to model the data, use rates of change to make predictions and explore the causes and possible explanations for variability in the data, and use net change to provide estimates based on the data and explain the assumptions they are making in their interpretations. Before beginning Math 1a, students are expected to have a strong background...

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    MATH MA: Introduction to Functions and Calculus I

    Semester: 

    Fall

    Offered: 

    2023

    Math Ma is the first half of the year-long course Math M, which is a merging of calculus and pre-calculus, a study of functions and the impact of change. The course is widely accessible and does not require prior knowledge of calculus; in fact, we will start discussing the ideas of calculus immediately, weaving in background material from pre-calculus as we need it. There will be group projects that students will work on in Math Ma, all of them important questions that have a quantitative edge which require a diverse quantitative toolkit, and in this course we will focus on developing...

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    COMPSCI 181: Machine Learning

    Semester: 

    Spring

    Offered: 

    2024

    CS 181 provides a broad and rigorous introduction to machine learning, probabilistic reasoning and decision making in uncertain environments. Students will derive the mathematical underpinnings for many common methods, work computationally, applying machine learning to challenges with real data, and give consideration to the ethical implications of machine learning. The material is aimed at an advanced undergraduate level and students should be comfortable with writing non-trivial programs, have a background in probability theory, and familiarity with calculus and linear algebra.

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    MATH 22A: Vector Calculus and Linear Algebra I

    Semester: 

    Fall

    Offered: 

    2023

    Math 22a covers linear algebra with an introduction to proof-writing and theoretical mathematics. Students learn the foundational mathematics for statistics and data science, including linear regression, data fitting, overfitting, omitted variable bias, and quantifying uncertainty. Students will work with several real-world datasets over the course of the semester, and use the methods of the course to make predictions based on that data. Math 22a covers the same content as Math 21b but with a more theoretical perspective. Students should have taken Math 1b or equivalent in order to take...

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    ECON 1123: Introduction to Econometrics

    Semester: 

    Fall

    Offered: 

    2023

    This course introduces state-of-the-art methods for answering important public policy questions, such as quantifying the causal effect of incarceration on recidivism or measuring the causal effect of unemployment insurance on unemployment durations. Students will learn how to develop, evaluate, and implement their own research designs to answer these types of questions and quantify uncertainty associated with such estimates. The class concludes with time series forecasting and financial econometrics. Most students will have taken one prior course in statistics or probability theory, such...

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    STAT 102: Introduction to Statistics for Life Sciences

    Semester: 

    Fall

    Offered: 

    2023

    STAT 102 provides an introduction to statistical methods used in medicine, public health, and the life sciences. Students in the course will learn methods to summarize and draw inferences from data based on elementary probability theory and simulation in R, often using real data from peer-reviewed research in these fields. There are no prerequisites: students with prior exposure to introductory statistics (such as through an AP Statistics course) will encounter some overlapping material but gain a better understanding of the statistical thinking and principles behind commonly used...

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