Analytics and Managerial Decision-Making I is the first of two required quantitative methods courses taken in sequence by all MHA students. These courses are foundational to the MHA curriculum. The two courses are fully integrated with respect to materials, exercises and cases, and by a two-term, team-based application project.
Managers are continually confronted with the need to make significant decisions concerning the organizational and financial performance of a health organization, based on a combination of strategic intention, practical experience, and interpretation and application of complex data and information. Data analysis is one tool that supports such decision-making. This course is designed to provide management students with the tools to generate and present data-driven and model-based management recommendations that are meaningful and implementable.
The course focuses on learning basic tools for the collection, analysis, and presentation of data in support of managerial/executive decision-making. Topics will include introductory data and statistical exploration from basic descriptive statistics to population and market estimation, comparison testing and decision-making, sampling design and analysis, and predicting/forecasting using linear regression. Using Excel as an additional tool, the course develops analytical skills to prepare managers to make and to present informed decisions in the overall healthcare sector.
This course explores the development of relations between Russia and the United States from the end of the Cold War to the present day. It also reveals a broader trend: in the early 1990s, it seemed that Western liberal values were triumphant worldwide. However, as Russia failed to transition into a democratic state, anti-Americanism and revanchism began to flourish. After becoming president, Vladimir Putin exploited these sentiments, ultimately making anti-Americanism a central aspect of his international political agenda. Russian propaganda has not only influenced the Russian population but also seeks to spread these ideas and conspiracy theories beyond Russia’s borders. As an inherently unstable political system, Russia aims to destabilize the West. The course concludes with an analysis of present-day dynamics.
The central insight of speech act theory is that speakers perform many different actions with
language. Words can be used to assert, question, command, promise, beg, bet, marry, arrest,
bequeath, request, refuse, threaten, subordinate, silence, complain, etc. Even the very same
words can on one occasion be a straightforward assertion, on another occasion be a promise,
and another a threat. Speech act theory investigates how it is that speakers do all these
things with words: how does a speaker succeed in communicating the force of her words?
What effects do these have? How much (if anything) is a matter of convention and how much
(if anything) is a matter of speaker’s intentions or the speaker’s state of mind more generally?
This class is divided into roughly three sections, though the topics from each section overlap.
The first third of the course is an historical overview of classic speech act theory. The second
third is on more recent and more formal theoretical developments; we look at work by both
philosophers and linguists in their development of concepts such as discourse context, context
change, presuppostion, and convention, as well as formal analyses of things like sentence
mood and imperatives. The final third is on applications of speech act theory (drawing from
theoretical ideas from the first two-thirds of the class) to issues of social, political, and ethical
importance, e.g. propaganda, pornography, hate speech, free speech, dogwhistles, and social
institutions.
This course tracks the trajectories of politics in the Caucasus, focusing on the political development of the independent states of the South Caucasus: Armenia, Azerbaijan, and Georgia. While the emphasis is on contemporary dynamics, the course considers how Imperial Russian expansion and Soviet structures interact with current mechanisms of interest articulation and power. Topics include post-Soviet conflicts, regime types, institutions, political economy, and foreign policy. Students will examine each country individually and comparatively
Holistic understanding of the science and socioeconomic modelling of climate change, the properties of renewable energy sources, their economic and engineering
implications, and the policy decisions in the transition to future energy. Fundamentals of systems needed to support deep penetration of renewable energy, including grid stability, transmission and storage systems, and the design and operations of carbonaware datacenters.
The course covers a range of current topics in evolutionary and quantitative genetics, with two main aims: 1) to expose students to important, open questions in the field and 2) to help them learn how to read research papers carefully and critically. This year we will focus on the genetic basis of adaptation. Adaptation is the dynamic evolutionary process by which an organism’s fitness increases in a particular environment via changes in the frequencies of alleles contributing to heritable phenotypic trait variation. Recent evidence from human genetics, and past evidence in quantitative genetics in a variety of organisms, indicate the heritable variation in many traits is highly polygenic, suggesting that when selection pressures change, adaptation should be highly polygenic as well. At the same time, there appear to be many examples in which adaptation occured by large effect changes in few genes. We will review the theory and evidence, with the goal of understanding when we should expect adaptation to proceed by these different modes.
Selected advanced topics in smart electric energy. Content varies from year to year.
This course will seek to analyze some philosophical and interpretative problems raised by recent works in a field generally described as 'postcolonial theory'. At the center of the discussion would be the themes of Eurocentrism and Orientalism. While the questions associated with this field are highly significant, there is much that is indeterminate about this area of social theory. The course will start with an historical analysis of the original debates about 'Orientalism' and the nature of its arguments. It will start with a preliminary reading of Said’s Orientalism. It will then take up for a direct critical examination textual traditions that were the objects of the Orientalism debate – representative examples of European Orientalist literature – which claimed to produce, for the first time, 'scientific' studies of Oriental societies (work of linguists like William Jones, or historians like James Mill), studies of Middle Eastern Islamic societies analyzed by Said, segments of philosophies of history which dealt with non-European societies and found a place for them in a scheme of 'universal history' ( Hegel, Marx, Mill, Weber). We shall then turn to ask if social science knowledge about non-European societies still carry the methodological features of Orientalism. As Orientalism spread across different fields of modern culture – not just academic knowledge, but also art and aesthetic representations, the next two weeks fictional and visual representations will be taken up for critical analysis. This will be followed by a study of texts in which intellectuals from non-European societies from Asia and Africa responded to the cognitive and cultural claims of the European Orientalist literature. In the last section the course will focus on three aspects of the postcolonial critique:
the question of
representation
,
the question of the writing of history, and
the logic of basic concepts in social sciences.
Advanced Linear Algebra, Complex Variable Theory, Integral Transforms, Measure Theory and Probability Theory, Advanced Information Theory, Differential and Difference Equations, Calculus of Variations, Nonlinear Optimization, State-Space Modeling, Advanced Signal Processing and Recognition: non-Stationary Signal Recognition, Spectral and Cepstral Analysis, Supervised and Unsupervised Clustering, Decision Theory, Math of modern NN architectures.
Advanced Linear Algebra, Complex Variable Theory, Integral Transforms, Measure Theory and Probability Theory, Advanced Information Theory, Differential and Difference Equations, Calculus of Variations, Nonlinear Optimization, State-Space Modeling, Advanced Signal Processing and Recognition: non-Stationary Signal Recognition, Spectral and Cepstral Analysis, Supervised and Unsupervised Clustering, Decision Theory, Math of modern NN architectures.
Prerequisites: permission of the departmental adviser to Graduate Studies.
MIA and MPA Policy Skills I Core.
This course provides students with practical skills to communicate clearly and persuasively on issues they care about. Whether writing to influence policy, shape public opinion, or present ideas within an organization, the ability to craft sharp, purposeful messages is essential. Students will learn to distill their key arguments, adapt their writing for different audiences, and develop strong foundational pieces such as op-eds, press releases, and policy memos. The course also introduces generative AI tools as part of the writing process—teaching students how to use AI to brainstorm, draft, and revise more efficiently, while critically assessing its outputs. As AI transforms how we write and communicate, this course equips students to harness its benefits while maintaining their own voice, judgment, and clarity of thought.
Prerequisites: the instructors permission. In this year-long sequence students gain familiarity with the materials used in electroacoustic music and the techniques and equipment that are employed to transform and organize these materials into compositions. Individual projects are assigned.
MIA Policy Skills II Core.
Making good policy is a science, an art, and a craft. This course introduces students to the key principles of public policy design from global perspectives. Students will engage with a policymaker’s toolbox, examining best practices in evidence-based and participatory policymaking, policy innovation, and policy design. In addition to exploring the conceptual foundations of policymaking, the course equips students with practical tools they can apply throughout careers in government, think tanks, international organizations, civil society, and the private sector. A central focus of the course is policy memo writing. Students will learn how to conduct concise, evidence-based policy analysis and design meaningful policy solutions. Additional tools covered include: The design and use of indicators and public opinion polls; Stakeholder mapping; Public participation plans; Theories of change; Intersectional policy analysis.
By the end of the course, students will have a deeper understanding of how public policy is made and implemented across diverse contexts, along with enhanced skills for designing effective public policies and programs.
An introduction to combinatorial optimization, network flows and discrete algorithms. Shortest path problems, maximum flow problems. Matching problems, bipartite and cardinality nonbipartite. Introduction to discrete algorithms and complexity theory: NP-completeness and approximation algorithms.
Convex sets and functions, and operations preserving convexity. Convex optimization problems. Convex duality. Applications of convex optimization problems ranging from signal processing and information theory to revenue management. Convex optimization in Banach spaces. Algorithms for solving constrained convex optimization problems.
Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning.
Emplacement is often taken as the unspoken background of the study of religious phenomena. This seminar considers how problematizations of space, place, locality, and geography may cast religious phenomena in a new light. Approaches to theorizing space and place from various disciplines such as geography, cultural anthropology, philosophy, literature, art history, and history of cartography will be brought into conversation with questions emerging within the study of specific religion traditions.
While this seminar is open to interested students from all disciplines, our work in this course specifically falls into the “zone of inquiry” of “space and place” of the Religion Department’s graduate programs. “Zones of inquiry” seek to introduce students to a particular cluster of key concepts and various theoretical elaborations of those concepts, in order to aid students in honing their ability to reflect critically on and develop further the central concepts that they derive from and bring to the specific traditions and phenomena that they study in their own research. A main goal of this course will therefore be to deepen our conceptual and analytical acumen and expand our theoretical resources at the intersection of religious studies and theories of space, place, and geography.
MIA Policy Skills II Core.
This introductory course equips students with the fundamentals of persuasive speechwriting and public speaking for political, business, and nonprofit contexts. Students will explore the classical canons of rhetoric and apply them to contemporary speechwriting, developing both the art and science of persuasion.
Following an initial session on theory, the course focuses on building practical skills through writing, editing, and delivering original speeches. Topics include voice and message alignment, tailoring speeches to audiences and occasions, persuasive delivery techniques, and ethical considerations in shaping public discourse.
COURSE DESCRIPTION
This graduate seminar situates the history of photography within the history of colonial productions of tropicality, and the concomitant occupation of tropical places. Specific regimes of vision accompanied the European conquest of peoples and lands, undergirded the racialization of bodies, and colluded in epistemic binaries of centers and peripheries. At the same time, modern visual media did not possess an intrinsically “colonial gaze.” Rather, many of the same apparatuses of seeing and representation proved to be powerful tools in the assertion of minoritized selves, be it in fugitive , playful, or explicitly confrontational forms. Our focus will be on 19th -20th century lens-based image production, particularly photography. Each week we will acquaint ourselves with concepts and methods that will help us read images, situate current decolonial debates in visual studies within older foundational debates on vision and visuality, and read key texts in historiography. Weekly readings are curated as per a spatial logic, retracing the itineraries of colonial adventurism and control: from the ship to the island, the plantation, the prison, and the laboratory. This seminar is designed mainly for doctoral students; Masters students can join with instructor permission.
LEARNING OUTCOMES
• Familiarity with foundational debates in photography studies.
• Ability to articulate the relationship between a history of vision, the production of space, and the epistemic techniques of colonialism.
• A comparative history of colonized islands and archipelagoes construed as “tropical.”
• Methods in postcolonial, anti-colonial, and decolonial reading of texts and images.
MIA Policy Skills II Core.
This course provides students with a foundation in the principles and practices of video journalism and multimedia narrative. Against a backdrop of rapidly evolving platforms, technologies, and generative AI tools, students will learn how to create compelling, credible video content that cuts through the noise of the contemporary media landscape. Led by experienced journalists from PBS NewsHour and the Thomson Reuters Foundation, the class offers a blend of hands-on technical training, theoretical exploration of media production, and critical reflection on the social, ethical, and narrative dimensions of visual communication. Students will produce, film, write, and edit a portfolio of original video stories, using smartphones, digital cameras, and Adobe Premiere. Coursework includes individual and collaborative assignments, culminating in a final video essay project and pitch. In addition to developing technical skills, students will gain experience in story development, audience engagement, and content distribution.
MIA Policy Skills II Core.
This course equips students with the journalistic tools necessary to communicate policy ideas to broad public audiences. Through a combination of seminar discussions and workshop-based learning, students develop fluency in multiple forms of opinion writing, including op-eds, essays, blogs, and newsletters. Weekly writing assignments guide students in translating specialized policy expertise into persuasive, accessible prose suitable for publication in student and professional media outlets.
Participants will learn to craft compelling narratives that bridge the gap between expert analysis and public discourse, while cultivating editorial skills through constructive peer feedback. The course emphasizes revision as a core element of the writing process and encourages students to experiment with different genres and styles.
The course aims to analyze dynamic, multivariate interactions in evolutionary and non-stationary processes. The course first considers stationary univariate time-series processes and then extend the analysis to non-stationary processes and multivariate processes. The course covers a review of linear dynamic time-series models and focus on the concept of cointegration, as many applications lend themselves to dynamic systems of equilibrium-correction relations. In the final analysis, the course is aimed at presenting a certain number of econometric techniques the mastery of which is becoming increasingly inevitable in professional circles.
MIA and MPA Policy Skills II Core. Pre-req: Quant I. Priority Registration: MIA and MPA.
We will examine the evolution and revolution in data-driven politics as practiced by leading campaigns and advocacy efforts. The course will provide an overview of key issues in public opinion polling, large-scale microtargeting, randomized controlled trial testing, the application of behavioral science and modern statistical techniques, as well as the current and emerging uses of large language models. Our primary focus will be on developments in U.S. political and advocacy campaigns, but we will also examine the international applications of these tools. The course is designed to provide an informative yet critical overview of an area where it is often difficult to separate hype from expertise. The purpose of the course is to prepare students to understand the strengths and limitations of evidence-based approaches, analytics, and current applications of artificial intelligence. The course provides concrete and practical knowledge of some of the key tools in use in campaigns and advocacy. Students will be encouraged throughout the course to view developments in political analytics as an example of how emerging techniques can be applied and misapplied in a range of organizations and efforts. Students will have opportunities to work on specific advocacy or organizational issues of their own interest, developing approaches to the use of new data and analytics tools that may be of use as they consider specific careers in a range of fields. Students will have the opportunity to design, field, and analyze their own polling questions.
Students will be required to make extensive use of current AI tools, even as those tools change during the course. The course will encourage the use of these tools to support rigorous statistical reasoning while requiring students to understand the appropriate use of methods that are now at least superficially easier to apply. It is strongly recommended that students have completed Quantitative Analysis before taking this course. The class will include outside speakers with expertise in polling, analytics, the use of AI in politics, and other areas.
Mark Steitz is a Washington, DC based communications and analytics strategist. He founded TSD Communications and co founded Catalist (large scale voter data), The Analyst Institute (evidence based voter contact), and QRS New Media (communications technology). He served on the Advisory Board of th
May be repeated for credit. A special investigation of a problem in nuclear engineering, medical physics, applied mathematics, applied physics, and/or plasma physics consisting of independent work on the part of the student and embodied in a formal report.
This course aims to provide students with further instruction on how (1) to motivate detailed empirical analysis on a research question of their choice, (2) to justify and to design appropriate econometric tests using relevant time-series, cross-sectional, or panel data, etc., and (3) to draw accurate inferences—as well as direct policy implications—from their results for a wide audience. To meet this objective, the key course requirement is to write an empirical policy paper that details (1)–(3) in no more than 5000 words total (including exhibits, references, etc.), geared not for academics but for economic policymakers or other practitioners. Also, students will be required to report their findings to their instructor, advisors, and fellow students during 10- to 15-minute slide presentations toward the end of the semester.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
Alternate title: "How to Use a Bit of Code to Do Things That Would Be Really Hard in Spreadsheets." Students will learn data analysis through the Python programming language—exploring, manipulating, visualizing, and interpreting open data to answer policy questions. The class incorporates use of generative AI for coding problems, helping students understand its strengths and weaknesses. No coding experience required.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
Alternate title: "How to Use a Bit of Code to Do Things That Would Be Really Hard in Spreadsheets." Students will learn data analysis through the Python programming language—exploring, manipulating, visualizing, and interpreting open data to answer policy questions. The class incorporates use of generative AI for coding problems, helping students understand its strengths and weaknesses. No coding experience required.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
This course provides a practical introduction to the core concepts, techniques, and tools used to analyze data for effective decision-making. Designed for students with little to no background in statistics, mathematics, or statistical software, the course emphasizes intuitive understanding and hands-on learning. Through interactive exercises and real-world datasets, students will explore both qualitative and quantitative methods for extracting insights, identifying patterns, and building evidence-based recommendations. The course focuses on developing analytical reasoning and applied skills that can be used across a range of policy and professional contexts.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
This advanced course provides a comprehensive introduction to the principles and practices of effective database design, management, and security. Students will gain a strong foundation in information organization, data storage, and database administration, with attention to key topics such as data warehousing, governance, security, privacy, and alternative database models.
The course emphasizes the relational database model and includes practical instruction in Structured Query Language (SQL), data modeling, and integrity constraints. Students will learn to design, build, and manage databases while addressing contemporary issues in security and privacy. Prior experience with basic programming and data structures is recommended.
MIA and MPA Policy Skills II Core. Pre-req: Quant I (SIPA IA6500). Priority Registration: MIA and MPA.
Research is an important part of the policy process: it can inform the development of programs and policies so they are responsive to community needs, reveal the impacts of these programs and policies, and help us better understand populations or social phenomena. This half-semester course serves as an introduction to how to ethically collect data for smaller research projects, with an in-depth look at focus groups and surveys as data collection tools. We will also learn about issues related to measurement and sampling. Students will create their own focus group protocol and short survey instrument designed to answer a research question of interest to them.
This seminar offers an in-depth, interdisciplinary examination of North Korea’s political system, society, foreign policy, and security strategy. Students will critically assess how outside powers influenced Korea’s division, the internal dynamics that shaped the Kim regime’s rise, and how state institutions continue to evolve. Drawing from political science, history, firsthand accounts, and policy documents, the course equips students to challenge common misperceptions and engage analytically with key questions surrounding North Korea’s economy, propaganda, human rights, gender dynamics, and nuclear posture.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
This 7-week mini-course leads the students into the R world, helps them master the basics, and establishes a platform for future self-study. The course offers students basic programming knowledge and effective data analysis skills in R in the context of public policy-making and policy evaluation. Students will learn how to install R and RStudio, understand and use R data objects, and become familiar with base R and several statistical and graphing packages. The course will also emphasize use cases for R in public policy domains, focusing on cleaning, exploring, and analyzing data.
Local and global fields, group cohomology, local class field theory, global class field theory and applications.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
This course introduces students to the principles and practices of data visualization as a powerful tool for interpreting and communicating complex information. As large datasets become increasingly available across sectors, the ability to transform raw data into clear, compelling visuals is essential for insight and decision-making.
Students will learn to select appropriate visualization types, apply design techniques that balance form and function, and tell analytic stories with clarity and impact. Through hands-on assignments and guided case studies, the course builds practical skills in visualizing data to uncover patterns, reveal trends, and engage diverse audiences.
MIA and MPA Policy Skills II Core. Pre-req: Computing in Context (DSPC IA6000). Priority Registration: MIA and MPA.
This course introduces students to the fundamentals of Artificial Intelligence (AI), its applications in public policy, and its implications for the future of governance. Students will gain a foundational understanding of AI, including the mathematical and programming principles behind common machine learning algorithms used for prediction, classification, and clustering. The course explores the practical applications of AI across various sectors, including business, non-profits, and government, highlighting its transformative potential. In the final segment, students will apply their knowledge to design AI solutions for public policy challenges. Through a "Concept to Implementation" process, student groups will identify problems, navigate data and algorithmic considerations, and propose actionable AI-driven solutions.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
In the past two years, Large Language Models (LLMs) built using transformer frameworks have emerged as the fastest-growing area of research and investment in AI/machine learning. Recent releases of chatbots such as ChatGPT (OpenAI), Bing (Microsoft), and Bard (Google) quickly reached hundreds of millions of users and have become the face of artificial intelligence for consumers. There has also been an explosion in the number of applications that depend on LLMs for a variety of more specialized tasks. Recent models have shown impressive performance on both canonical machine learning tasks and for everyday use, yet are in many ways poorly understood and, in some cases, exhibit unexpected and potentially harmful behavior.
Policymakers, analysts, and non-profit and industry leaders need an understanding of these models to take advantage of the opportunities they present and to mitigate potential harms. This course provides an overview of Large Language Models and gives students hands-on experience with various ways of interacting with LLMs. Students will learn to interpret model evaluation metrics, and we will discuss safety and ethics in applied contexts.
MIA and MPA Policy Skills II Core. Pre-req: Quant I (SIPA IA6500)
.
Priority Registration: MIA and MPA.
Data is not neutral. How it is collected, categorized, and analyzed is shaped by historical, political, economic, and social forces, often reinforcing existing injustices. While policy professionals are trained in quantitative methods, there is comparatively less focus on interrogating how data itself is produced, how existing frameworks exclude certain populations, and how data can be used to either reinforce or challenge inequities.
This course introduces students to inclusive and decolonial approaches to working with data for policy research and advocacy, emphasizing critical engagement with its lifecycle—from collection to analysis to dissemination. Students will examine how statistical tools, methods, and available data can be utilized to either reinforce or dismantle barriers to opportunity and address structural injustices. Through weekly discussions, hands-on coding exercises, and a research or advocacy project sketch, students will examine a range of data sources and methodologies while developing strategies for ethical, community-centered data practices.
Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.
Modern “omics” methods comprise a set of high-throughput techniques useful for the study of entire sets of biological molecules, such as genomes, transcripts, and proteins. These approaches strive to provide a comprehensive view of a living system, and are increasingly used to probe cellular diversity, trace the evolution and spread of pathology, and to directly connect molecules to functional changes at the level of the cell or organism. This course will survey the foundational technologies and ideas underpinning such work by building a clear, intuitive understanding of modern methods—sequencing chemistries (Illumina, PacBio HiFi, ONT), single-cell and spatial transcriptomics, single-cell and spatial DNA sequencing, in situ imaging-based sequencing, genome editing, and CRISPR-based perturbations—with computational themes like base-calling, normalization, cell-type classification, and interpretation of perturbation data. Familiarity with basic genomics methods and processing of biological data is helpful but not required.
This course asks what thinking from and with South Asia can offer anthropological theory and what an anthropological approach can offer the study of South Asia. Keeping the troubled history of area studies in focus, we attend to how the “region” has been formed as a distinct object of study. In other words, this course simultaneously takes South Asia as its subject and its vantage point, while also problematizing what, where, and to whom this phrase refers. We consider a series of texts and films - largely but not exclusively within the tradition of contemporary anthropology - that explore people and places in and across the nation-states known as South Asia.
Our aim is two-fold: One, we hope to moor anthropological theory in geopolitics. By this, we mean that we are interested in how “regions” come to be exemplary sites of particular theories instead of points of grounded departure for disciplinary-wide conversations. On a related note, we want to understand the conditions under which “region” can be productively invoked in anthropological conversations and when we are advised to leave it behind. Second, we aim to attend to the specificities of the places and people imperfectly referenced by the phrase South Asia. We will touch on classic themes associated with the anthropology of South Asia, including criss-crossing formations of caste, class and gender, and we will put them in conversation with contemporary work on disability, Indigeneity, queerness, and race.
Applications of spoken language processing, including text-to-speech and dialogue systems. Analysis of speech and text, including entrainment, empathy, personality, emotion, humor, sarcasm, deception, trust, radicalization, and charisma.
Continuation of IEOR E6711, covering further topics in stochastic modeling in the context of queueing, reliability, manufacturing, insurance risk, financial engineering, and other engineering applications. Topics from among generalized semi-Markov processes; processes with a non-discrete state space; point processes; stochastic comparisons; martingales; introduction to stochastic calculus.
Basic statistics and machine learning strongly recommended. Bayesian approaches to machine learning. Topics include mixed-membership models, latent factor models, Bayesian nonparametric methods, probit classification, hidden Markov models, Gaussian mixture models, model learning with mean-field variational inference, scalable inference for Big Data. Applications include image processing, topic modeling, collaborative filtering and recommendation systems.
This course will situate modern dramatic writing at the intersection of several kinds of inquiry focusing the distinctive material conditions of modern dramatic production and theatrical/theoretical critique. One line of thinking will take up the question of booking the play, rendering the play as a printed object to be read, a network of practices we will trace from Bernard Shaw’s desire for a blackened box of dialogue on the page through the idea of a “poetic” drama, to Stein, Beckett, Pinter, Smith, Wellman, and Parks. In tandem, though, we will also be tracing that other materiality outside the text, constituting the text, or a text, as an instrument for use in the richly ideological field of stage production: the problem play in the naturalistic box; episodic revision in the alienating apparatus of epic theatre, the refusal of the “masterpiece” in the dis/embodiment of cruelty, and the script as code in the era of digital reproducibility. Here, we will also bring some of the classic texts of modern dramatic, literary, performance, and technological theory to bear on the drama’s potential intermediation of the literary and the theatrical.
This course, then, will provide both an introduction to an important dimension of performance theory, and an overview of modern drama; it would be a suggestive complement for students working in early modern drama (source of many of the textual issues that continue to animate dramatic writing), as well as for students interested in an introduction to performance theory, and modernism/modern drama.
Seminar meets weekly; there is a brief (one-paragraph) weekly post, and one longer essay. Students are encouraged to use the writing for this course to develop longer range issues (i.e., I’ve had philosophy students who are more interested in the philosophical texts on performance than the dramatic texts, that’s fine; early modern drama students who want to bring some of the thinking about modern problems (text, performance, theory) back to earlier concerns, fine; and so on.
Understanding why people behave the way they do, what makes them change their behavior, and how these factors relate to health status and quality of life is critically important for public health professionals. The evidence for the role of individual behavior in all the major health problems throughout the world is indisputable. Equally indisputable is the complex array of factors that combine to produce behavior and deter behavior change. The purpose of this course is to build upon the material presented in the Core in order for students to be able to use individual, interpersonal, organizational and community level public health theories to explain and change health behavior.
How do stage and screen use movement to further the meaning of texts? What relationships emerge between motion and emotion, between kinesis and empathy, and how do those relationships vary across different body types and identities, and even across the movement repertories of animals and objects? How does the moving body evade theoretical frameworks that seek to arrest it? To answer such questions in two historically specific ways, this seminar zigzags between early modernity and the last century to survey major performance genres in each that make pronounced use of movement. In addition to plays, we will study dumb shows and silent film, masques and ballets, “dramatick operas” and
tanztheater
, fairs and freak shows, civic pageants and protest theater, animal baiting and circuses, “motion men” and motion capture. We will draw in particular upon the insights of phenomenology, performance theory, and critical dance studies, as well as affect, animal, critical race, and disability studies. We will examine motion at the scale of individual and collective embodiments, and in actions that range from gestures to dance steps. Major figures studied include Amiri Baraka, Pina Bausch, Charlie Chaplin, Merce Cunningham, Asadata Dafora, William Davenant, Thomas Dekker, John Dryden, Eiko & Koma, Mat Fraser, Thomas Heywood, Bill T. Jones, Ben Jonson, Young Jean Lee, Suzan-Lori Parks, Marius Petipa, William Shakespeare, and Luis Valdez.
The two-state solution has been the overarching framework for all peace negotiations regarding the Israeli-Palestinian conflict, including in the Oslo Accords (1993) and during negotiations between Prime Minister Barak and Chairman Arafat (Camp David, 1999-2001), between Prime Minister Olmert and President Abbas (2007-2009), and between Prime Minister Netanyahu and President Abbas (2011-2014), as well as for the “Trump Plan” (2020). Even President Trump’s 20-Point Plan discusses a “political horizon” in which Palestinians will realize their “right to self-determination,” which has been a euphemism for statehood.
This workshop, led by an Israeli and a Palestinian who served as negotiators on opposite sides of the table, will take its participants “into the negotiation room,” with a specific focus on the Camp David negotiations of 1999-2001, which are considered to be the most comprehensive attempt to reach a “Permanent Status Agreement.”
The workshop
will assume a political “directive” to reach an agreement based on the principle of two nation-states for two peoples
and will explore the various implications of such a directive for negotiators and for the agreement, with significant attention on the challenge of bringing into being a Palestinian state.
Please note that the workshop will
not
address the overarching dilemmas regarding “one-state” vs “two-state,” the “viability of the two-state solution” or the reasons for the failure to reach an agreement on permanent status thus far. Also, the workshop will address key issues such as refugees, Jerusalem, economics, and security in so far as they affect the issue of Palestinian statehood. Reading or listening materials will be based on accounts of senior negotiators and on relevant legal texts of agreements, UN decisions, and proclamations by both sides.
This will be a for credit workshop, divided into two full-day sessions, which will be held on two Fridays, one week apart. The for-credit assignment will be assigned in the first session and finalized by teams of students
during
the second session.
Obesity is a serious condition that increases risk for type 2 diabetes, heart disease, stroke, certain types of cancer, and several other deleterious health outcomes. The US and NYCare facing an Obesity epidemic that threatens not only to cause increasingly severe health consequences but also billions of dollars in annual medical costs. Moreover, for the first time in decades, it threatens to reduce the life expectancies of today's youth by overwhelming public health improvements brought about in the 20th century. Numerous secular trends have precipitated the dramatic increases in obesity that have occurred over the past several decades. This course will provide a broad overview of the socio-cultural factors associated with the obesity epidemic; identify promising strategies for intervention; and enable students to craft and assess multi-pronged solutions to this multi-factorial problem.
The need for more effective and equitable engagement with communities has become increasingly evident to public health professionals in recent years. Now, more than ever, the importance of developing deeper and more engaged academic/institutional-community partnerships is necessary to address systems of structural inequity. However, developing these relationships requires not only knowledge of equity-based partnering formats, but the cultivation of complex skill sets that allow public health practitioners to most fully develop relationships across all phases of community collaboration. Two valuable forms of community engagement that public health practitioners and students can make use of are community-based participatory research and service learning, which are the focus of this course. Additionally, this course acknowledges that community engagement is a diverse space where people from a variety of professional and personal backgrounds come together. For many years, people working in the technology space have recognized the benefits of “matrixed teams,” similarly over the past few years the notion of interprofessionalism has become an important and required aspect of allied health and public health professional training. Research has shown that bringing together students from two or more professions to learn about, from, and with each other is extremely effective in all forms of collaboration (within research and intervention teams and with communities) and ultimately lead to improved health outcomes. According to the World Health Organization, “Once students understand how to work interprofessionally, they are ready to enter the workplace as a member of the collaborative practice team. This is a key step in moving health systems from fragmentation to a position of strength.” Pinsert course number – insert studio name 2 of 24 The overall goal of this course is for students to learn about and begin to practice the tenets of three frameworks: Interprofessional Education (IPE), Service-Learning (SL), and Community?Based Participatory Research (CBPR). With regard to interprofessional engagement, the course will provide students with a solid understanding of four key IPE competencies: roles/responsibilities, teams/teamwork, ethics/values, and communication. Complementing this, the course will introduce and integrate SL pedagogy to prepare students to engage in community service projects. The SL model prioritizes three aspects of project implementation: student learning, direct attenti
This six-week interactive online workshop will teach students the fundamental concepts and skills of digital storytelling. Digital stories are multimedia movies that combine photographs, video, animation, sound, music, and text with a narrative voice. Digital storytelling can be a powerful, multi-dimensional tool for community-based public health program enhancement, strategic communication, and advocacy (Hinyard & Kreuter, 2007). Students will share first-person narratives about public health passions and/or experiences and turn them into videos that can be used for training, community mobilization, advocacy, and more. SOSCP6776 – Digital Storytelling 2 of 10 The workshop will be led by facilitators from, and with a curriculum designed by, StoryCenter. StoryCenter is an international non-profit organization that assists people with the use of digital media tools to craft and share stories that lead to learning, action, and positive change. For the past 20 years, StoryCenter has been supporting researchers, educators, social justice organizers, and advocates in understanding how first-person narrative and participatory digital media production can advance a broad range of social justice and public health goals.
A graduate level deep learning course focusing on attention and transformer architectures. Introduces selection of transformer-based models applied to language, vision and audio problems, generative, diffusion, state-space, and mixture of expert models. Analysis of zero-shot learning, hallucinations, graph neural networks, multimodal architectures, and agents. Multiple object detection methods are compared. Course is executed in hybrid presentation/flipped-classroom styles, with practical exercises and student presentations on design and operation of DL models.
Advanced-level lab-based course. Build and experiment with deep-learning models implemented on low-power GPU edge computing device. Topics: architectures of low-power GPU devices, algorithms and DL models suitable for edge implementation, CUDA language, pre-processing of data, labeling for ground-truth annotation, profiling techniques, connectivity between edge devices and cloud computing servers, real-life data for experimentation, comparison of performance for a variety of methods, comparison of performance of edge-computing and cloud computing approaches.
The “liberal international order,” which until recently appeared inevitable to many observers, faces numerous challenges that have erupted in the past few years—including war, heightened superpower rivalry, the imposition of sanctions and tariffs, and economic stagnation. To this list, we must add a series of preexisting conditions, such as ballooning inequality and persistent North-South divides, the climate crisis, rising nationalist and xenophobic sentiment, and increasing support—on both the left and right—for protectionism and skepticism of “free trade” and (global) capitalism itself. In turn, the very utility (and desirability) of global-governance mechanisms and institutions is increasingly being called into question.
This course centers around analyzing the political economy and structure of the contemporary world order, its underlying logics, origins and inherently political nature, how it is (and is not) governed, and how power is exercised therein by actors including states, corporations, international institutions, and even individuals. As we will highlight throughout the semester, issues related to global political economy and governance shape the lives of people all over the world, including our own.
Specifically, we will discuss the origins and consolidation of today’s “liberal international order,” especially vis-à-vis its economic dimensions and the rise of global neoliberalisms, along with its trials, tribulations, and challengers, its “governance” and spatial logics, and the various forms of backlash against it that are currently proliferating. We will also carefully analyze the role of race, class, and gender in global economics and politics, as well as the persistence of colonial legacies, and the ongoing relevance of North-South and other inequalities. Additionally, we will discuss how issues such as the climate crisis, U.S.-China relations, and technological change are shaping the future trajectory of the global political-economic order (or orders).
To shed light on these and related matters, we will critically engage with the contributions of a diverse and interdisciplinary array of classic and contemporary thinkers who have sought to
theorize
the global economy, global governance, and world order, as well as the dynamic interplay between global politics and economics, in different ways.
This is a required core course for the MA in Global Thought
MIA & MPA Ethics Core.
This course investigates how ethical considerations shape, complicate, and often introduce dilemmas into the work of policymaking. It asks what justice, democracy, and responsibility demand in concrete policy contexts—should political leaders prioritize stability or accountability in post-conflict settings? Should elected officials follow their moral convictions even when doing so goes against the preferences of their constituents? Should public servants uphold the law when it conflicts with their moral principles? When is it right to work within flawed systems to achieve change, and when is it better to act from the outside? Through a mix of theoretical readings and case studies, students will learn to balance political, institutional, and ethical considerations, develop arguments for their moral choices, and advocate effectively for their policy decisions. The course is designed to cultivate reflective practitioners who can identify moral dilemmas in public policy, weigh competing values, and articulate their ethical positions in ways that are both critical and constructive.
MIA & MPA Ethics Core.
This course investigates how ethical considerations shape, complicate, and often introduce dilemmas into the work of policymaking. It asks what justice, democracy, and responsibility demand in concrete policy contexts—should political leaders prioritize stability or accountability in post-conflict settings? Should elected officials follow their moral convictions even when doing so goes against the preferences of their constituents? Should public servants uphold the law when it conflicts with their moral principles? When is it right to work within flawed systems to achieve change, and when is it better to act from the outside? Through a mix of theoretical readings and case studies, students will learn to balance political, institutional, and ethical considerations, develop arguments for their moral choices, and advocate effectively for their policy decisions. The course is designed to cultivate reflective practitioners who can identify moral dilemmas in public policy, weigh competing values, and articulate their ethical positions in ways that are both critical and constructive.
MIA & MPA Ethics Core.
This course investigates how ethical considerations shape, complicate, and often introduce dilemmas into the work of policymaking. It asks what justice, democracy, and responsibility demand in concrete policy contexts—should political leaders prioritize stability or accountability in post-conflict settings? Should elected officials follow their moral convictions even when doing so goes against the preferences of their constituents? Should public servants uphold the law when it conflicts with their moral principles? When is it right to work within flawed systems to achieve change, and when is it better to act from the outside? Through a mix of theoretical readings and case studies, students will learn to balance political, institutional, and ethical considerations, develop arguments for their moral choices, and advocate effectively for their policy decisions. The course is designed to cultivate reflective practitioners who can identify moral dilemmas in public policy, weigh competing values, and articulate their ethical positions in ways that are both critical and constructive.
The theme for this seminar is public art--old and new. Readings from antiquity through Habermas, Arendt, Adorno, Kracauer, Benjamin, to Rancierre, etc.
Musicals, especially those that have traditionally originated on Broadway, are complex pieces of machinery that are designed to produce a variety of energies in the theater. When taken collectively, those energies constitute the aesthetic of the experience. As with plays, stage managers are charged with coordinating all of a musical’s production elements. However, stage managers should also be able to view a musical from every angle; that is, read it intelligently and analyze it dramatically so they can accurately gauge their contribution to the overall aesthetic. This course seeks to provide stage managers with a customized template to do that: in other words, how to connect what’s on the page and the stage to their own standard methodologies, cue calling, and the CEO/COO perspective. In the contemporary professional landscape, these are important tools that will help them optimize their work on musicals.
This is an advanced graduate-level course in international macro-finance. The course focuses on empirical research and applied theory. This course is targeted to second year PhD students in business economics, economics, finance and related disciplines, including Columbia Business School MSFE students that have completed their first-year courses.
The course assumes familiarity with basic theoretical modeling techniques such as dynamic optimization and general equilibrium modeling. Similarly, the course assumes familiarity with basic empirical methods and with econometric software of your choice (Stata, Python, Matlab, etc.). Students without all the necessary prerequisites and familiarity with these techniques are welcome to take the course but should expect to have to fill the gaps on their own.
There is no required textbook for the course since we will mainly read and discuss papers on the reading list. The following resources will be used extensively:
-Handbook of International Economics, Volume 5, forthcoming.
Link
-Stanford Big-Data Initiative in International Macro-Finance Videos:
Link
The component includes scheduled studio critiques with some of New York’s most distinguished art practitioners, and is meant to offer multiple perspectives relevant to the training of contemporary artists. The Visual Arts program invites 20-25 artists and critics a semester, and each student sees at least two Visiting Critics per semester.
Visiting artists and critics are invited over the course of the academic year to give a one-hour lecture followed by discussion, and conduct three 40-minute studio visits. These lecturers will join the previously listed Visiting Critics and will be available as one of your allotted studio visits each semester.
Fundamentals of digital speech processing and audio signals. Acoustic and perceptual basics of audio. Short-time Fourier analysis. Analysis and filterbank models. Speech and audio coding, compression, and reconstruction. Acoustic feature extraction and classification. Recognition techniques for speech and other sounds, including hidden Markov models.
Generative AI and social media are accelerating the circulation of rumors. Yet our current surge of disinformation has striking historical precedents. Gutenberg’s printing press not only facilitated the scientific revolution but also led to a proliferation of pamphlets about various monsters. In the 1840s, the rotary printing press brought about a wave of fabricated news stories. Nearly a century later, the live transmission of radio made listeners of Orson Welles’
War of the Worlds
believe Martians were really invading. But radio was also the medium in which FDR’s fireside chats successfully countered banking rumors.
This seminar examines how successive media revolutions have shaped the propagation of rumors and falsehoods, from printed broadsides to QAnon, anti-vax campaigns, deepfakes, and generative AI. We will also analyze the limits of fact-checking and how counternarratives that gain wide circulation can displace disinformation.
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