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
• T 10 a.m.-11:50 a.m.
• Instructor: Liza Featherstone
  Wikipedia Info
• 1.5 points

EXT: LAW, POWER, & SOCIAL CHANGE

EXT: CITY & STATE POLICY

N/A

• Department: Law
• 2 points

EXT: LAW, POWER, & SOCIAL CHANGE

EXT: CITY & STATE POLICY

N/A

• Department: Law
• 2 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
• W 6:10 p.m.-8 p.m.
• Instructor: Seth Cluett
  h-index: 4 Info
• 3 points

QUESTIONS IN ANTHROPOLOGICAL THEORY II:

QUESTIONS-ANTHROP THRY II:HIST

This course surveys the historical relationships between anthropological thought and its generic inscription in the form of ethnography. Readings of key ethnographic texts will be used to chart the evolving paradigms and problematics through which the disciplines practitioners have conceptualized their objects and the discipline itself. The course focuses on several key questions, including: the modernity of anthropology and the value of primitivism; the relationship between history and eventfulness in the representation of social order, and related to this, the question of anti-sociality (in crime, witchcraft, warfare, and other kinds of violence); the idea of a cultural world view; voice, language, and translation; and the relationship between the form and content of a text. Assignments include weekly readings and reviews of texts, and a substantial piece of ethnographic writing. Limited to PhD students in Anthropology only.

• Department: Anthropology
• T 4:10 p.m.-6 p.m.
• Instructor: Elizabeth Povinelli
  CULPA: 14 Wikipedia Info
• 3 points

EXT: REPRESENTNG NYC

• Department: Law
• 2 points

EXT: REPRESENTNG NYC

• Department: Law
• 2 points

NORMAL-PATHLGCL ASPCT-CHLDHOOD

• Department: Social Work
• T 4:10 p.m.-6 p.m.
• Instructor: Prudence W Fisher
  Info
• 3 points

Externship: Environmental Practice

Ex. Environmental Practic

• Department: Law
• Instructor: Scott A Edwards
  Info
• 2 points

Externship: Environmental Practice

Ex. Environmental Practic

• Department: Law
• Instructor: Scott A Edwards
  Info
• 2 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

Built Environment Disrupt

• 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

Pediatric Nurse Practitioner Clinical Pr

PNP CLINICAL PRACTICUM

This is the first clinical experience with pediatric patients for the PNP student. The student will be responsible for developing objectives and sharing them with the preceptor. The skills needed to obtain a good history and physical will be honed and further developed. When possible, the student will proactively seek opportunities to practice clinical skills of vision screening, hearing screening and venous access. The student will develop their skills in developmental and mental health screening.

• Department: Nursing
• 1 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

CLIMATE JUSTICE IN OUR OWN BACKYARD

• Department: Architecture, Planning and Preservation
• R 5 p.m.-7 p.m.
• Instructor: Thaddeus Pawlowski
  Info
• 3 points

Pediatric Primary Care Nursing I: Didact

PED PRIMARY CARE NURSING

Pediatric Primary Care Nursing I is designed to prepare the student to provide primary care to infants, toddlers, and preschoolers so that children may meet their optimal physical, intellectual, and emotional growth and development. The content focuses on health promotion, illness prevention, and the treatment of episodic problems from infancy through preschool.

• Department: Nursing
• M 10 a.m.-12:50 p.m.
• Instructor: Clare C McKegney
  Info
• 3 points

Writing and Delivering Speeches for Poli

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

Communications Tools for Advocacy

MIA Policy Skills II Core. 
This course builds on the writing and presentation skills developed in the first part of the SIPA Skills Course by exploring how these skills may be deployed in the broader context of organizational communications, with a focus on policy advocacy.

It will introduce students to a set of key communications tools that can drive effective policy advocacy by turning well-crafted, focused messages into impact. It will focus on the practical tactics that form part of an effective strategic communications plan, from handling one-to-one broadcast interviews to utilizing advocacy reports and publications targeting policymakers, to organizing events, media stunts, and leveraging celebrity spokespeople.

Students will produce and workshop their own video interviews, and conclude the course by developing a communications campaign plan, both in support of the policy memo/issue developed at the end of Policy Skills Part One. The objective is to introduce students to the scope of Comms work, both to develop their own skills and their understanding of how a Comms department approaches its mission.

• Department: International and Public Affairs
• T 3:10 p.m.-5 p.m.
• Instructor: Jonathan Birchall
  Info
• 1.5 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.
• Instructor: Christopher Booker
  Info
• 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

U.S. Higher Education: History, Present

In this seminar we will discuss past, present, and future challenges facing colleges and universities and their constituencies.  The course may be taken for credit or audited.

Topics include the origins of the modern research university; problems of equity and access in the post-secondary educational system; the place of teaching in graduate training; the changing character of humanistic scholarship; the role of colleges and universities as engines of—or obstructions to—social mobility; past and current challenges to intellectual inquiry and academic freedom.

We will hear from visiting speakers on these topics as well as on questions regarding possible career choices for graduate students facing a shrinking market for traditional tenure-track teaching positions.

• Department: English and Comparative Literature
• T 6:10 p.m.-8 p.m.
• 4 points

Macroeconometrics

Lecture

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

Macroeconometrics

Recitation

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
• W 3:10 p.m.-5 p.m.
• 0 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
• M 11 a.m.-1 p.m.
• Instructor: Charles C Stewart
  Info
• 1.5 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. 
This 7-week mini course exposes the students to the application and use of Python for data analytics in public policy setting. The course teaches introductory technical programming skills that allow students to learn Python and apply code on pertinent public policy data. The majority of the class content will utilize the New York City 311 Service Requests dataset. It’s a rich dataset that can be explored from many angles relevant to real-world public policy and program management responsibilities.

• Department: Data Science for Policy
• T 10 a.m.-11:50 a.m.
• T 1:10 p.m.-3 p.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

EXT. FEDERAL COURT CLERK EDNY

• Department: Law
• 1 points

EXT. FEDERAL COURT CLERK EDNY

• Department: Law
• 3 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

Porous Bodies

POROUS BODIES

How are bodies in the world? How is the world in bodies? Building from these deceptively simple questions, ours will be an interdisciplinary reading seminar on how bodies (mostly human, but sometimes nonhuman) are made and remade in and through their environments and via their relationships to the material world. Privileging porosity as a rubric, we consider the ever-permeable boundaries between bodies and the other beings (be they viral, chemical, microbial or otherwise) with which they become entangled. Alongside the monographs under study, we will tackle article-length engagements with theories of new feminist/queer materialisms, decolonial and critical science studies. Further, a key aim of this course is to provide students the opportunity to hone some of the most important skills we have in our toolbox as academics, relative to our teaching, our public voice/s as critics, and to our own research.

• Department: Anthropology
• R 12:10 p.m.-2 p.m.
• Instructor: Vanessa L Agard-Jones
  CULPA: 3 Info
• 3 points

LEVEL II FIELDWORK A

LEVEL II FIELDWRK A

• Department: Rehabilitation Medicine (RMED)
• Instructor: Phyllis R Simon
  Info
• 0 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 3:10 p.m.-5 p.m.
• Instructor: Jonathan Corrado
  Info
• 3 points

R For Public Policy

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.

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

EXTERNSHIP: COMMUNITY DEFENSE

• Department: Law
• 2 points

EXTERNSHIP: COMMUNITY DEFENSE

• Department: Law
• 2 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: Michael Harris
  CULPA: 6 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
• W 7:10 p.m.-9 p.m.
• Instructor: Douglas Williamson
  Info
• 1.5 points

EXT:FED CT CLERK SOUTHERN DNY

• Department: Law
• Instructor: Paul B Radvany
  Info
• 1 points

EXT:FED CT CLERK SOUTHERN DNY

• Department: Law
• Instructor: Paul B Radvany
  Info
• 3 points

EXTERNSHIP: CRIMINAL APPEALS

• Department: Law
• 2 points

EXTERNSHIP: CRIMINAL APPEALS

• Department: Law
• 2 points

EXTERNSHIP:FED APPELLATE COURT

• Department: Law
• 1 points

EXTERNSHIP:FED APPELLATE COURT

• Department: Law
• 3 points

Assessment and Evaluation

• Department: Rehabilitation Medicine (RMED)
• Instructor: Cristin Holland
  Info
• 1 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

OTHER FRONTIERS IN STAGE MANAGEMENT

OTHER FRONTIERS: INTL

TBD

• Department: Theatre Arts
• W 9:30 a.m.-12:20 p.m.
• Instructor: Fredric Hanson
  Info
• 1.5 points

DEI and Professional Skills

• Department: Rehabilitation Medicine (RMED)
• Instructor: Razan Hamed
  h-index: 8 Info
• 1 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

THE LONG HISTORY OF ARCH TECHNOLOGY

LONG HIST OF ARCH TECHNOL

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Lucia Allais
  Info
• 3 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
• T 3:10 p.m.-5 p.m.
• Instructor: Harold B Stolper
  Info
• 1.5 points

Ex. Legal Practice

• Department: Law
• 1 points

Ex. Legal Practice

• Department: Law
• 2-3 points

Ex. Legal Practice

• Department: Law
• 1 points

Ex. Legal Practice

• Department: Law
• 2-3 points

Ex. Legal Practice

• Department: Law
• Instructor: Gerald Lebovits
  h-index: 10 Info
• 1 points

Ex. Legal Practice

• Department: Law
• Instructor: Gerald Lebovits
  h-index: 10 Info
• Instructor: Mark Nielsen
  Info
• 2-3 points

Ex. Legal Practice

• Department: Law
• Instructor: Mark Nielsen
  Info
• 2-3 points

TOPICS DATA-DRIVEN ANAL & COMP

Advanced Deep Learning

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
• W 10:10 a.m.-12:40 p.m.
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

Deep Learning on the Edge

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
• W 1:10 p.m.-3:40 p.m.
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 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
• R 4:10 p.m.-6:40 p.m.
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 3 points

MAGMATISM & VOLCANISM

Prerequisites: One year each of Chemistry, Physics, Calculus and Earth Sciences Overview This course explores the origin of magmas and their subsequent movements; their ascent, stalling and eruption; their transport of heat and mass through the earth; their formation of crust and creation of volcanoes. The course will explore magmatism itself - its chemical and physical underpinnings - and also develop magmatic tools used to understand other earth processes. Topics will be focused around Grand Questions. Example questions include: What do magmas tell us about the thermal structure of the earth? Why do magmas store and stall where they do? What drives the largest eruptions on Earth? Does continental extension drive melting or melting drive extension? Questions will evolve to reflect the state of the field and student interest. The course is designed to serve as an accessible breadth course for Earth Science graduate students in any discipline.

• Department: Earth and Environmental Sciences
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Terry A Plank
  CULPA: 6 Wikipedia Info
• 3 points

RE FINANCE & DEVELOPMENT

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• 3 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.
• None None-None
• Instructor: Julia Hirschberg
  CULPA: 8 h-index: 77 Info
• 3 points

THEATRE MANAGEMENT & ADMINISTRATION II

THEA MGMT & ADMIN II

• Department: Theatre Arts
• F 3 p.m.-6 p.m.
• Instructor: Steven E Chaikelson
  CULPA: 5 Info
• 3 points

THEATRE MANAGEMENT & ADMINISTRATION II

UNION AND CONTRACTS

• Department: Theatre Arts
• F 10 a.m.-12:50 p.m.
• Instructor: Laura B Mackinnon
  Info
• 3 points

ARCHITECTURAL FINISHES

• Department: Architecture, Planning and Preservation
• F 11 a.m.-1 p.m.
• Instructor: Mary Jablonski
  Info
• 3 points

The Chinese Avant-Garde: A Political His

CHINESE AVANT-GARDE

This course examines the rise and demise of the Chinese Revolution from the unique angles provided by avant-garde writers, artists, designers, graphic novelists, filmmakers, playwrights, and theatre directors in modern China.

• Department: East Asian Languages and Cultures
• R 4:10 p.m.-6 p.m.
• Instructor: Lydia Liu
  CULPA: 2 Info
• 4 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

RISK & INVESTMENT MANAGEMENT

RISK & INVESTMENT MGMT

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Ryan J Severino
  Info
• 1.5 points

EXPERIMENTAL PRESERVATION

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

COMPARATIVE HERITAGE MGT

• Department: Architecture, Planning and Preservation
• TR 9 a.m.-11 a.m.
• 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
• W 4:10 p.m.-6:40 p.m.
• Instructor: John W Paisley
  CULPA: 1 Info
• 3 points

RACE & REPRESENTATION IN CRIMNAL JUSTICE

• Department: Social Work
• M 6:20 p.m.-8:10 p.m.
• Instructor: Kimberly D Westcott
  Info
• 3 points

RE PRIVATE EQUITY

• Department: Architecture, Planning and Preservation
• R 2 p.m.-4 p.m.
• Instructor: Jiho Lee
  Info
• 1.5 points

FORENSIC SOCIAL WORK

This course introduces students to the field of social work and the law – specifically the practice of social work in legal settings.  Students will develop competency in forensic social work practice - working knowledge as a practitioner in an interdisciplinary setting representing clients entangled in legal systems including criminal, civil, family and immigration.  Students will deconstruct the complexities of the criminal legal systems and further develop awareness in addressing clients’ concerns related to their criminal justice history – pre-arrest, arrest, disposition and re-entry. Similarly, students will gain insight into the filing of Article X petitions in family court and the pathway of a child protection case.  This course complements field placements in legal/forensic settings, law minors and students interested in social work and law rooted in rights-based advocacy. This course is premised on a basic understanding of how the legacy of slavery led to mass criminalization and incarceration.  Black Lives Matter.

• Department: Social Work
• T 2 p.m.-3:50 p.m.
• R 6:20 p.m.-8:10 p.m.
• Instructor: Jenny G Crawford
  Info
• Instructor: Rachelle Williams
  Info
• 3 points

RESTORATIVE JUSTICE THEORY AND PRACTICE

The course will focus on understanding the theory and varied practices of restorative justice (RJ) and transformative justice (TJ), and how they are being used as alternatives to retributive and punitive responses to social problems and individual, community and institutional harm.  Students will learn – through modeling and practice – how to facilitate a restorative circle which can serve as the foundation for continued use of restorative practices in social work. The class will provide an understanding of the values and principles of RJ and R, and the most-commonly used RJ models and where they are being used. It will support students in understanding their own relationship to conflict and teach students how to facilitate restorative processes using peacemaking circles. Issues of power, privilege, oppression and identity will be substantial themes throughout the course, both in understanding the need for RJ and TJ, how RJ/TJ can address them, and the ways in which these issues arise in facilitation and the RJ/TJ movement.  In addition to understanding RJ, the course will also provide students with a critical analysis of other theories and practices of conflict resolution including mediation, truth and reconciliation, and transitional justice, and how all of these relate to addressing individual, communal and institutional harm.  Finally, the course will discuss how social workers can use restorative justice in a variety of settings.

• Department: Social Work
• T 6:20 p.m.-8:10 p.m.
• T 8:30 p.m.-10:20 p.m.
• Instructor: Sethu L Nair
  Info
• Instructor: Vivianne Guevara
  Info
• 3 points

Health Promotion: Theory, Research, and

HLTH PRMTION: THRY, RSRCH

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.

• Department: Sociomedical Sciences
• R 8:30 a.m.-11:20 a.m.
• T 8:30 a.m.-11:20 a.m.
• Instructor: Jane Bogart
  Info
• Instructor: Christian Gloria
  Info
• 3 points

Quantum Sensing Theory

QUANTUM SENSING THEORY

Introduction to quantum detection and estimation theory and its applications to quantum communications, quantum radar, quantum metrology, and quantum tomography. Background on quantum mechanics, quantum detection, composite quantum systems, Gaussian states, and quantum estimation.

• Department: Electrical Engineering
• F 1:10 p.m.-3:40 p.m.
• Instructor: Xiaodong Wang
  CULPA: 15 Info
• 3 points

COMPUTATIONAL IMAGING

Computational imaging uses a combination of novel imaging optics and a computational module to  produce new forms of visual information. Survey of the state-of-the-art in computational imaging.  Review of recent papers on omnidirectional and panoramic imaging, catadioptric imaging, high  dynamic range imaging, mosaicing and superresolution. Classes are seminars with the instructor,  guest speakers, and students presenting papers and discussing them.

• Department: Computer Science
• M 4:10 p.m.-6 p.m.
• Instructor: Shree K Nayar
  CULPA: 12 Wikipedia Info
• 3 points

ADV CASE STUDIES IN RE ANALYS

• Department: Architecture, Planning and Preservation
• W 6 p.m.-8 p.m.
• Instructor: Christopher W Munsell
  Info
• 3 points

ENTREPRENEURSHIP IN BUYING REAL ESTATE A

BUYING RE ASSETS

• Department: Architecture, Planning and Preservation
• T 3:15 p.m.-5:15 p.m.
• Instructor: Masood A Bhatti
  Info
• 1.5 points

Shock and Change: Strategic Surprises in

Strat Surprises: ME War P

A strategic surprise can be defined as a seemingly abrupt change during warfare or bilateral relations that is unexpected in timing, location, and scope. Traditionally, this term has been applied within the framework of decision-making and policy formulation during conflicts. However, a broader perspective sees strategic surprises not only as sudden attacks that fundamentally alter the conflict landscape but also as political developments that lead to dramatic paradigm shifts – such as the fall of the Berlin Wall in 1989 or the end of the apartheid regime in South Africa.

This course addresses pivotal moments that have dramatically disrupted conventional paradigms in the Middle East conflict, a conflict marked by surprising events yet persistently resistant to long-lasting transformative progress. By examining occurrences of strategic surprise, including the wars of 1948, 1967, and 1973; Sadat’s peace initiative; the Oslo Accords; and the October 7 attack by Hamas, we will investigate the tension between a seeming stagnation and the potential for sudden shifts – for Peace or War. Through case studies and theoretical frameworks, students will analyze how these dynamics shape policy, conflict, and peace processes, gaining tools to critically address historical patterns and behaviors that continue to shape the region.

• Department: International Security & Diplomacy
• T 10 a.m.-11:50 a.m.
• Instructor: Nadav Eyal
  Info
• 1.5 points

HISTORIC PRESERVATION STUDIO II

HP STUDIO II

• Department: Architecture, Planning and Preservation
• MR 2 p.m.-6 p.m.
• 6 points

The Two-State Solution to the Israeli-Pa

2-State Sol:Israel & Pale

This immersive, two-day workshop examines the concept of a two-state solution to the Israeli-Palestinian conflict through the lens of historic negotiation efforts, most notably the Camp David Summit (1999–2001). Guided by former Israeli and Palestinian negotiators, students will explore the political, legal, and narrative frameworks that have shaped these peace talks, with particular attention to the components of Palestinian statehood.

Through structured simulation, analysis of historical documents, and engagement with practitioners, the workshop will deepen students' understanding of negotiation dynamics, the role of state recognition, and the impact of historical narratives on diplomacy. Issues such as refugees, Jerusalem, security, and diplomatic recognition will be addressed only insofar as they relate to the establishment of a Palestinian state.

To register for this course, you must join the waitlist in Vergil and submit an application: 
https://forms.gle/ku43fs8WwtgRNPte7
.

• Department: International Security & Diplomacy
• 1.5 points

Confronting Obesity: Society, Structures

CONFRONT OBESITY:SOC,STRC

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.

• Department: Sociomedical Sciences
• W 5:30 p.m.-8:20 p.m.
• Instructor: Gretchen Van Wye
  Info
• 3 points

RE MEDIA + MARKETING

• Department: Architecture, Planning and Preservation
• W 1:30 p.m.-3:30 p.m.
• Instructor: Amir Korangy
  Info
• 1.5 points

THESIS II

• Department: Architecture, Planning and Preservation
• Instructor: Jorge Otero-Pailos
  Wikipedia h-index: 12 Info
• 4 points