Rethinking Policing in the 21st Century

Rethinking Policing Today

This course examines modern policing in the United States through historical, legal, racial, and political lenses. Students will explore the evolution of policing practices and their implications for civil rights, public trust, and public safety. Key topics include police recruitment and training, disciplinary procedures, technology in law enforcement, use-of-force guidelines, and the impact of police unions. The course will evaluate the role of social movements, such as Black Lives Matter, in advancing reform and will analyze policy recommendations implemented in cities across the U.S. and abroad. Students will engage with current scholarship, government reports, and case studies to assess efforts to reimagine public safety, address systemic racism, and improve police-community relations. The course culminates in a policy-oriented final paper proposing actionable reform strategies.

• Department: EXECUTIVE MPA
• M 7:10 p.m.-9 p.m.
• Instructor: Basil A Jr Smikle
  Info
• 3 points

Mechanics of Elastomeric and Elastomeric

Mech of Elasto Materials

Mechanics of nonlinear mechanical behavior of elastomeric and elastomeric-like solids. Overview of structure and behavior of elastomers. Kinematics of large deformation. Constitutive models for equilibrium stress-strain behavior, using invariant measures of deformation and statistical mechanics of molecular networks. Automated Constitutive Model Discovery via Neural Networks. Hysteretic aspects of structure and behavior due to time dependence and structural evolution with deformation. Review of experimental data and models to capture and predict observations. Time permitting: behavior of particle-filled, thermoplastic and biomacromolecular elastomers.

• Department: Mechanical Engineering
• W 10:10 a.m.-12:40 p.m.
• Instructor: Mary Boyce
  Info
• 3 points

TOPICS IN THEATRE HISTORY & THEORY

DRAMATURGIES OF THE REAL

A course description will be forthcoming.

• Department: Theatre Arts
• W 9:30 a.m.-12:20 p.m.
• Instructor: Maria Jose Contreras
  Info
• 3 points

COMP MODLS PERCPTN & CHOICE

Prerequisites: ECON GR6211 and ECON GR6212 and ECON GR6215 and ECON GR6216 and ECON GR6410 and ECON GR6411 and ECON GR6412 and ECON GR6493 Models of errors and biases in judgments, in the domains of perception, statistical inference, and decision making. Experimental evidence and theoretical analyses from economics, psychology, computational neuroscience, and computer science will be discussed and compared. Topics treated will include signal detection theory, stochastic choice, diffusion-to- bound models, decision by sampling, probability matching, rational inattention, efficient coding theories, theories of salience or focus- weighted valuations, reference-dependent or context-dependent valuations, and reinforcement learning.

• Department: Economics
• T 10:10 a.m.-noon
• Instructor: Michael D Woodford
  Wikipedia Info
• 4 points

Global Fault Lines

Our world is interconnected thanks to the worldwide web, social media, academic institutions, news outlets, ease of international travel, fashion trends, diasporic communities, music...the threads that are woven into the global textile are boundless. However, this textile is torn and frayed. People are – as they have been for centuries - fragmented by war, religion, disasters and crises, poverty, and disparate concentrations of wealth. In this class, we will examine these various fault lines, by addressing issues such as cultural difference, nationalism, populism, and identity politics. By understanding the fissures in our collective humanity, we will have a better understanding of what binds us together.

• Department: Committee on Global Thought
• W 4:10 p.m.-6 p.m.
• Instructor: Ramona H Bajema
  Info
• 3 points

SUPERVISED TEACHING ASSISTANCE

Prerequisites: permission of the faculty member who will direct the teaching. Participation in ongoing teaching.

• Department: Psychology
• 3 points

Quantitative Analysis I for Internationa

MIA & MPA Quantitative I Core. 
This course introduces the fundamentals of statistical analysis, with applications in public policy, management, and the social sciences. Students will begin with basic techniques for describing and summarizing data and progress toward more advanced methods for inference and prediction. The course emphasizes practical tools for interpreting quantitative data and drawing evidence-based conclusions about the social world.

• Department: International and Public Affairs
• M 10 a.m.-11:50 a.m.
• M 1:10 p.m.-3 p.m.
• M 3:10 p.m.-5 p.m.
• Instructor: Doru Cojoc
  Info
• 3 points

Quantitative Analysis II for Internation

MPA Quantitative II Core. 
This course introduces regression analysis as a key tool for policy analysis and program evaluation. Emphasizing causal inference, students will learn to assess the impacts of programs and policies using both experimental and non-experimental methods. The first half of the course reviews foundational concepts from Quant I and builds toward multiple regression techniques; the second half applies those tools to real-world policy settings. Designed for future practitioners, the course focuses on applying and communicating statistical concepts in accessible, non-technical language, and prepares students for advanced coursework in data analysis and program evaluation.

• Department: International and Public Affairs
• T 1:10 p.m.-3 p.m.
• W 10 a.m.-11:50 a.m.
• W 1:10 p.m.-3 p.m.
• W 10 a.m.-11:50 a.m.
• W 1:10 p.m.-3 p.m.
• W 3:10 p.m.-5 p.m.
• Instructor: Alan S Yang
  CULPA: 5 Info
• 3 points

Introduction to Health Economics

INTRODUCTN TO HEALTH ECON

Health economics provides theories and tools for understanding, predicting, and changing human behavior. Understanding and changing the behavior of firms and individuals, designing health policies, and managing firms and organizations concerned with delivering health care and improving health, requires a solid foundation in health economics. In this course, students will learn the concepts in health economics most relevant and important to public health professionals and how these economic concepts can be applied to improving health care and the public health systems. Students will identify the basic concepts of health economics for the purposes of solving problems using these concepts, and apply these concepts in new contexts within public health.

• Department: Health Policy & Management
• R 8:30 a.m.-11:20 a.m.
• W 6 p.m.-8 p.m.
• 3 points

SUZUKI

• Department: Theatre Arts
• R 2:10 p.m.-5 p.m.
• Instructor: Shanga Parker
  Info
• 0-1 points

NEIGHBORHOOD PRES + ZONING

• Department: Architecture, Planning and Preservation
• M 11 a.m.-1 p.m.
• Instructor: Carol A Clark
  Info
• 1.5 points

STEM CELL, GENOME ENG & REGEN MED

General lectures on stem cell biology followed by student presentations and discussion of the primary literature. Themes presented include: basic stem cell concepts; basic cell and molecular biological characterization of endogenous stem cell populations; concepts related to reprogramming; directed differentiation of stem cell populations; use of stem cells in disease modeling or tissue replacement/repair; clinical translation of stem cell research.

• Department: Biomedical Engineering
• T 9 a.m.-11 a.m.
• 3 points

PLAYWRITING II

• Department: Theatre Arts
• Instructor: Rogelio Martinez
  Wikipedia Info
• 3 points

Critical Issues in Hospital Management

HOSP ORGANIZATION/MANAGEM

This course is intended to give the student a broad understanding of the components of the health care system and the basic management principles of hospital organization and management. The course will employ a variety of learning formats for students including lectures by the instructors, guest lecturers with special expertise, case studies and student presentations. Emphasis will be on the historical trends of health care statistics and operating data of health care institutions; the history of hospitals and health care systems; their organization and finances; regulatory controls; management strategies; accreditation and professional standards; government; private insurance; administrative leadership and professional interactions, emergency services, healthcare trends and marketing.

• Department: Health Policy & Management
• T 8:30 a.m.-11:20 a.m.
• Instructor: Eric Wei
  Info
• 1.5 points

Russian Fiction Beyond the Canon

RUSS FICTION BEYOND THE C

Transformations of a literary canon always reflect historical shifts and upheavals. Today, in the context of Russia’s aggressive war against Ukraine and weaponization of culture as a political tool, the Russian literary canon has been problematized and revised. Through our course we want to offer a broadened version of Russian-language literary culture focusing on those texts of 19th  and 20th  cc. that have often remained outside university curricula overshadowed by the pillars of the canon. The goal of the course is to attract students to works and literary experiments that have not been smoothly incorporated into “the Russian canon” – Soviet, Western, or post-Soviet alike. Along with close readings of these texts, we also want to highlight and practice theoretical approaches to textual analysis that typically are sidelined in literary courses and consider how working with a broader canon challenges our conceptions of literary movements, devices, and genres.

• Department: Slavic Languages
• R 12:10 p.m.-2 p.m.
• 4 points

SPEECH II

In this course, students will continue an exploration of their Idiolects in relationship to both extemporaneous and heightened texts through class and small group work that focuses on audibility, clarity, resonance, vocal dynamics by way of imaginative activation, articulation and ownership. The objective of this course is for students to activate their speech in such a way that it ignites and expands both their imaginations and their capacity to communicate language with honesty. They will experience a full and balanced sound that is neither pushed nor half-baked, neither rushed nor indulgent, and fill space onstage and in the world with their voice and their presence. Students will also hone their skills of self-observation, offer useful feedback and take ownership of and interpret a variety of texts to be expressed on vibration.

• Department: Theatre Arts
• T 9 a.m.-12:50 p.m.
• Instructor: Elizabeth Hayes
  Info
• 2 points

SPEECH III

In this course, students will continue their individual development of
greater ownership
, expression and embodiment of heightened (mostly Shakespeare’s) text. The objective of this course is for students to practice landing heightened text with honesty and clarity, uniting the Givens and the Imaginatives. “It’s not about making it right, it’s about making it ALIVE.” 

Students will:


(Continue to) refine their articulation skills via a strong working knowledge of the IPA and corresponding Lexical Sets

Dance along the fine line between control and freedom of their muscles of articulation in order to share complicated thoughts and speak heightened language with invisible technique

Unpack and investigate texts in order to marry structure with meaning

Interpret texts with Musiclarity – the musicality of the language supporting the clarity of the thought

Play with passion, curiosity, specificity and
humanity.

• Department: Theatre Arts
• F 9 a.m.-12:50 p.m.
• Instructor: Elizabeth Hayes
  Info
• 2 points

VOICE & ALEXANDER TECHNIQUE II

Voice and Alexander Technique II deepens and expands the work we did in Voice and Alexander Technique I. This continuing course presupposes that you have continued our work in your daily practice and in your other classes and have begun to develop clarity around the inner structure of the body which is your physical and vocal support. Our work this term will help you develop a solid vocal technique, a body that is strong, open and free, and a mind which is clear and focused.

• Department: Theatre Arts
• Instructor: Jean McClelland
  Info
• 1 points

ENVIRONMENTL CHAL IN HLTH CARE

• Department: Executive Classes in HPM
• Instructor: Sasha R Berns
  Info
• 1.5 points

FUNDAMENTALS OF SCREENWRITING

• Department: Theatre Arts
• M 2:10 p.m.-5 p.m.
• Instructor: David Auburn
  Info
• 3 points

ACCOUNTING & BUDGETING

• Department: Executive Classes in HPM
• Instructor: Francine M Caracappa
  Info
• 3 points

Healthcare Accounting and Budgeting

HLTH CARE ACCOUNTING&BUDG

The current market places increasing demands on healthcare managers so it is essential that individuals possess basic skills related to financial management and financial reporting. Current events make these demands more dynamic than ever. This course is intended for students who are interested in expanding their knowledge of healthcare financial issues and/or pursuing careers that involve financial management in the healthcare sector. The focus will be on non-profit healthcare delivery organizations.

• Department: Health Policy & Management
• M 5:30 p.m.-8:20 p.m.
• T 1 p.m.-3:50 p.m.
• Instructor: Larry Joo
  Info
• Instructor: Francine M Caracappa
  Info
• 3 points

Global Reliance on Russian Energy

Global Reliance-Russian E

This course examines the global reliance on Russian energy exports in the aftermath of the 2022 invasion of Ukraine and the realignment of geopolitical and energy markets. Students will assess whether Russia can operate without Western customers and whether the West can isolate Russia while securing its own energy needs. The course explores disrupted energy ties between Russia and Europe, shifting alliances with China, India, the Middle East, and the Arctic, and how sanctions have reshaped oil and gas flows worldwide. Through regional case studies and up-to-date policy analysis, students will investigate Russia's role in OPEC+, the Black and Caspian Seas, and the future of European energy diversification, including hydrogen initiatives.

• Department: International and Public Affairs
• W 3:10 p.m.-5 p.m.
• Instructor: Natasha Udensiva
  Info
• 3 points

ANALYTCS/MANAGR DECISION MAKNG

• Department: Executive Classes in HPM
• Instructor: Stephen Schwab
  Info
• 3 points

Analytics and Managerial Decision-Making

ANALYTCS/MANAGR DECISION

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.

• Department: Health Policy & Management
• M 5:30 p.m.-8:20 p.m.
• Instructor: Paul W Thurman
  h-index: 11 Info
• 3 points

Putin and Global Anti-Americanism

Putin & Global AntiAmeric

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.

• Department: International and Public Affairs
• W 1:10 p.m.-3 p.m.
• Instructor: Mikhail Zygar
  Info
• 1.5 points

Speech Acts

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.

• Department: Philosophy @Barnard
• T 12:10 p.m.-2 p.m.
• Instructor: Karen Lewis
  CULPA: 12 h-index: 7 Info
• 3 points

THE ACTOR'S BODY II

• Department: Theatre Arts
• MR 9 a.m.-12:50 p.m.
• Instructor: Sita Mani
  Info
• 1 points

Politics of the Caucasus

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

• Department: International and Public Affairs
• T 10 a.m.-11:50 a.m.
• Instructor: Julie George
  Info
• 3 points

Future Energy: Economics, Systems, Polic

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.

• Department: Electrical Engineering
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• 3 points

AMERICAN MUSICAL THEATRE

• Department: Theatre Arts
• W 6 p.m.-8:50 p.m.
• Instructor: Michael Korie
  Info
• 3 points

Readings in Evolutionary Genomics

Readings Evolutionary Gen

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.

• Department: Biological Sciences
• W 2:05 p.m.-3:55 p.m.
• 3 points

PRIV EQUITY DEVPT-HOTELS

• Department: Architecture, Planning and Preservation
• R 1 p.m.-3 p.m.
• Instructor: Rani Gharbie
  Info
• 1.5 points

AMERICAN SPECTACLE II

• Department: Theatre Arts
• F 10 a.m.-12:50 p.m.
• Instructor: Lynn Nottage
  Wikipedia Info
• 3 points

Topics in Smart Electric Energy

DERs & Smart Grid Systems

Selected advanced topics in smart electric energy. Content varies from year to year.

• Department: Electrical Engineering
• R 4:10 p.m.-6:40 p.m.
• Instructor: Mohamed Kamaludeen
  Info
• 3 points

Orientalism and PostcolonialTheory

Orientalism, Postcolonial

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.

• Department: Middle Eastern, South Asian and African Studies
• T 2:10 p.m.-4 p.m.
• Instructor: Sudipta Kaviraj
  Wikipedia Info
• 4 points

Mathematics of Machine Learning, Signals

Math of ML, Signals, & Co

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.

• Department: Mechanical Engineering
• M 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

Mathematics of Machine Learning, Signals

Math of ML, Signals, & Co

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.

• Department: Electrical Engineering
• M 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

SUPERVISED INDIVIDUAL RESEARCH

Prerequisites: permission of the departmental adviser to Graduate Studies.

• Department: Psychology
• Instructor: Natalie Brito
  Info
• 1-4 points

Policy Communication and Advocacy

Policy Comms and Advocacy

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.

• Department: International and Public Affairs
• M 1:10 p.m.-3 p.m.
• M 5:10 p.m.-7 p.m.
• W 5:10 p.m.-7 p.m.
• M 5:10 p.m.-7 p.m.
• T 3:10 p.m.-5 p.m.
• T 10 a.m.-11:50 a.m.
• Instructor: Mark A Schneider
  Info
• Instructor: George W III Miller
  Info
• 1.5 points

INTERACTIVE SOUND & VIDEO

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.

• Department: Music
• T 2:10 p.m.-5 p.m.
• Instructor: Theodore S Moore
  Info
• 3 points

MODERN CONTROL THEORY

• Department: Electrical Engineering
• TR 10:10 a.m.-11:25 a.m.
• Instructor: James Anderson
  h-index: 18 Info
• 3 points

Policy Design

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.

• Department: International and Public Affairs
• R 10 a.m.-11:50 a.m.
• Instructor: Daniel Naujoks
  Info
• 1.5 points

AI AND THE FUTURE OF CITIES

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• 3 points

OPTIMIZATION II

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.

• Department: Industrial Engineering and Operations Research
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• 4.5 points

CONVEX OPTIMIZATION

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.

• Department: Industrial Engineering and Operations Research
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Bento Natura
  Info
• 3 points

ROBOT LEARNING

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.

• Department: Mechanical Engineering
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Matei T Ciocarlie
  Info
• 3 points

Religion & Space

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.

• Department: Asian and Middle East @Barnard
• T 2:10 p.m.-4 p.m.
• Instructor: David L Moerman
  CULPA: 18 Info
• 4 points

Writing and Delivering Speeches for the

Writing & Delivering Spee

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.

• Department: International and Public Affairs
• W 5:10 p.m.-7 p.m.
• Instructor: James P Holtje
  Info
• 1.5 points

Camera in the Tropics

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.

• Department: Middle Eastern, South Asian and African Studies
• W 4:10 p.m.-6 p.m.
• Instructor: Debashree Mukherjee
  CULPA: 2 h-index: 5 Info
• 4 points

Visual Storytelling

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.

• Department: International and Public Affairs
• M 5:10 p.m.-7 p.m.
• 1.5 points

Writing about Policy

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.

• Department: International and Public Affairs
• T 10 a.m.-11:50 a.m.
• Instructor: Liza Featherstone
  Wikipedia Info
• 1.5 points

Macroeconometrics

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.

• Department: MPA IN ECON POLICY MANAGEMENT
• R 1:10 p.m.-3 p.m.
• Instructor: Noha Emara
  CULPA: 7 Info
• 3 points

Data Driven Approaches for Campaigns and

Data Driven Approaches-Ca

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

• Department: Data Science for Policy
• M 3:10 p.m.-5 p.m.
• 1.5 points

PROTOTYPING IN URBAN TECH

• Department: Architecture, Planning and Preservation
• T 3 p.m.-5 p.m.
• Instructor: James S Piacentini
  Info
• 3 points

PROJECT MANAGEMENT

• Department: Architecture, Planning and Preservation
• Instructor: Charles C Stewart
  Info
• 1.5 points

RESEARCH PROJECT

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.

• Department: Applied Physics and Applied Mathematics
• Instructor: Carlos Paz Soldan
  h-index: 28 Info
• 1-6 points

Empirical Econometric Project

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.

• Department: MPA IN ECON POLICY MANAGEMENT
• M 8 a.m.-9:50 a.m.
• Instructor: John Benson Durham
  Info
• 1.5 points

Python for Public Policy

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.

• Department: Data Science for Policy
• T 10 a.m.-11:50 a.m.
• Instructor: Aidan Feldman
  Info
• 1.5 points

Python for Public Policy

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.

• Department: Data Science for Policy
• T 10 a.m.-11:50 a.m.
• Instructor: Aidan Feldman
  Info
• 1.5 points

Data Analytics for Public Policy, Admin

Intro to Data Analytics

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.

• Department: Data Science for Policy
• M 7:10 p.m.-9 p.m.
• Instructor: Poranee Kingpetcharat
  Info
• 1.5 points

Database Design, Management, and Securit

Database Design Mgmt & Se

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.

• Department: Data Science for Policy
• M 7:10 p.m.-9 p.m.
• Instructor: Poranee Kingpetcharat
  Info
• 1.5 points

Data Collection for Evaluation, Policy,

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.

• Department: Data Science for Policy
• T 5:10 p.m.-7 p.m.
• Instructor: Rachel Swaner
  Info
• 1.5 points

North Korea: State, Society, Diplomacy,

North Korea: State & Stra

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.

• Department: International and Public Affairs
• T 5:10 p.m.-7 p.m.
• Instructor: Jonathan Corrado
  Info
• 3 points

Data Visualization with R

• Department: Data Science for Policy
• Instructor: Mike Q Zhu
  Info
• 1.5 points

ALGEBRAIC NUMBER THEORY

Local and global fields, group cohomology, local class field theory, global class field theory and applications.

• Department: Mathematics
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Eric Urban
  CULPA: 12 Wikipedia Info
• 4.5 points

Introduction to Infographics and Data Vi

Intro to Data Visualizati

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.

• Department: Data Science for Policy
• T 7:10 p.m.-9 p.m.
• Instructor: Douglas Williamson
  Info
• 1.5 points

Artificial Intelligence in Public Policy

Artificial Intel in Publi

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.

• Department: Data Science for Policy
• F 10 a.m.-5 p.m.
• Instructor: Sameer R Maskey
  Info
• 1.5 points

Building AI Tools with Large Language Mo

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.

• Department: Data Science for Policy
• W 5:10 p.m.-7 p.m.
• Instructor: Mike Q Zhu
  Info
• 1.5 points

Data Analysis for Inclusive Policy

Data Analysis-Inclusive P

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.

• Department: Data Science for Policy
• W 1:10 p.m.-3 p.m.
• F 1:10 p.m.-3 p.m.
• Instructor: Harold B Stolper
  Info
• 1.5 points

Making Invisible History Visible: Preser

Preserving Sites of Cult

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Andrew S Dolkart
  CULPA: 1 Wikipedia Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

TPC: MATHEMATICS OF DEEP LEARN

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.

• Department: Electrical Engineering
• T 4:10 p.m.-6:40 p.m.
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 3 points

Engineering in Genomics & AI

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.

• Department: Biomedical Engineering
• F 1 p.m.-3 p.m.
• Instructor: Sanja Vickovic
  Info
• 3 points

RE FINANCE & DEVELOPMENT

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• 3 points

Theory From And With South Asia

Theory From & With South

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.

• Department: Anthropology
• T 2:10 p.m.-4 p.m.
• 4 points

INVESTIGATIVE TECHNIQUES

• Department: Architecture, Planning and Preservation
• T 1 p.m.-3:30 p.m.
• Instructor: Amanda Trienens
  Info
• 3 points

Advanced Spoken Language Processing

ADV SPOKEN LANG PROC

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.

• Department: Computer Science
• T 4:10 p.m.-6 p.m.
• Instructor: Julia Hirschberg
  CULPA: 8 h-index: 77 Info
• 3 points

THEATRE MANAGEMENT & ADMINISTRATION II

THEA MGMT & ADMIN II

• Department: Theatre Arts
• Instructor: Steven E Chaikelson
  CULPA: 5 Info
• 3 points

THEATRE MANAGEMENT & ADMINISTRATION II

UNION AND CONTRACTS

• Department: Theatre Arts
• Instructor: Laura B Mackinnon
  Info
• 3 points

STOCHASTIC MODELING II

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.

• Department: Industrial Engineering and Operations Research
• TR 2:40 p.m.-3:55 p.m.
• Instructor: David D Yao
  CULPA: 5 Info
• 4.5 points

EXPERIMENTAL PRESERVATION

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: Jorge Otero-Pailos
  Wikipedia h-index: 12 Info
• 3 points

BAYESIAN MOD MACHINE LEARNING

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.

• Department: Electrical Engineering
• M 1:10 p.m.-3:40 p.m.
• Instructor: John W Paisley
  CULPA: 1 Info
• 3 points

Materializing Modern Drama and Performan

Materializing Mod Drma&Pe

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.

• Department: English and Comparative Literature
• M 10:10 a.m.-noon
• Instructor: William B Worthen
  CULPA: 10 Info
• 4 points

RE PRIVATE EQUITY

• Department: Architecture, Planning and Preservation
• W 10 a.m.-noon
• Instructor: Jiho Lee
  Info
• 1.5 points

WOODEN ARCHITECTURE PRESERVATION

• Department: Architecture, Planning and Preservation
• T 3:30 p.m.-6:30 p.m.
• 3 points