METROPOLITAN PLANNING

• Department: Architecture, Planning and Preservation
• W 5 p.m.-7 p.m.
• Instructor: Thomas K Wright
  Info
• 1.5 points

Gender Data for Gender Equality

MIA and MPA Policy Skills II Core. 
In recent years, despite enhanced awareness about the magnitude and multifaceted nature of gender inequalities on the one hand, and the promises of the ‘Data Revolution’ including AI on the other hand, gaps remain in both data availability and usage of 'Gender Data' that aim to both capture the underlying dynamics, drivers and outcomes of gender inequalities, and promote gender equality. The #MeToo movement and the COVID-19 pandemic in particular highlighted both the salience and implications of gender inequalities, including the “shadow pandemic” of sexual and gender-based violence, and, indeed, the dearth of quality data on these issues. In this context, the goal of this course is to train advanced students on the historical and latest discussions, opportunities, challenges, requirements and limitations of leveraging various types of data to fill ‘gender data gaps’ and promote gender equality, and equip them with practical ressources and tools to shape current and future debates and policies. It is designed as an intermediate-level course on the issue that touches on its historical, sociopolitical, cultural and economic dimensions and technical and analytical aspects related to data access, reliability, and the political economy and ethics of collecting, analyzing and using data for social change. It fundamentally seeks to ask and partially address the question of whether and how data, including ‘traditional’ data (such as official statistic and quantitively and qualitative survey data) and non-traditional data (such as social media and online data, telecom operators’ data, satellite imagery) can be leveraged concretely to pursue greater gender equality through analysis, advocacy and policy. It will also discuss risks associated with data collection and analysis and digital technologies more broadly, including those related to privacy and safety, biases, harassment, discrimination, and challenges and requirements for making these data matter, i.e., have a causal impact on what is measured. In doing so, it will zoom in on a few sensitive themes, including sexual and gender-based violence (SGBV), child marriage and female genital mutilation (FGM), sexual orientation and Gender Identity (SOGI), social norms, as well as socioeconomic and political empowerment and inclusion, especially although not exclusively in countries and regions of the “Global South” (or “Global Majority&rd

• Department: Data Science for Policy
• FFS 2 p.m.-6 p.m.
• Instructor: Emmanuel F Letouze
  Info
• 1.5 points

AFFORDABLE HOUSING DEVELOPMENT IN NYC

AFFORDABLE HOUSING DEV NY

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• Instructor: Kristin Miller
  Info
• 3 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: Aravind Devarakonda
  Info
• Instructor: Kui Ren
  CULPA: 2 Info
• Instructor: Carlos Paz Soldan
  h-index: 28 Info
• Instructor: Sherry Zhang
  Info
• Instructor: Alexander Gaeta
  Wikipedia h-index: 89 Info
• Instructor: Elizabeth Paul
  Info
• 1-6 points

Cities in a Globalizing World

Cities such as New York, London, Hong Kong, Sao Paolo, Tokyo and Mumbai, have been at the heart of deepening economic, social and political globalization. International trade, financial flows, the arts, and migration have shaped their process of urbanization and position in national life and they in turn have influenced the character of globalization. Policymakers in global cities have abundant resources at their disposal but face complicated governance challenges due to their size, complexity and deep linkages to the rest of the world. In addition, global cities increasingly must compete for human capital and investment. This course examines the key features of global cities and the main stages of their development. It explores the governance challenges that policymakers in global cities face in the areas of economics, infrastructure, environment, human capital development, and social welfare. For instance, in the area of economic policymaking, students will analyze the importance of agglomeration, economic clusters, economies of scale, and spillovers as well as the possible strategies for gaining a competitive edge over other cities.

• Department: EXECUTIVE MPA
• W 5:10 p.m.-7 p.m.
• Instructor: Francisco L Rivera-Batiz
  Info
• 3 points

Python for Public Policy

MIA and MPA Policy Skills II Core. 
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
• S 11:30 a.m.-3:30 p.m.
• Instructor: Rebecca S Krisel
  Info
• 1.5 points

Teaching Beyond the Gates: A Practicum o

Art Admin & Pedagogy Prac

The Writing Program has in place several programs that involve more than 70 students a term going beyond the Columbia gates to teach writing in community groups and schools. These programs include Columbia Artist/Teachers (CA/T), Our Word, The Incarcerated Artists Project (IAP), The Incarcerated Writers Initiative (IWI), as well as public programs on and off campus (including Lenfest) that are produced collaboratively.

The diverse array of partner organizations (see attached)—curated to provide a multiplicity of teaching experiences as well as service to the community—require various modalities of pedagogy and administration. About  14 students (see attached) are in leadership positions, with dual responsibilities of working with the partner programs in structuring and troubleshooting programs while also supervising the MFA participants and providing pedagogical guidance. In effect, these leaders are acting as arts administrators, an experience that may be useful for them in pursuing post-MFA employment.

The Writing Program’s Director of Community Outreach oversees these programs and student leaders on an ad hoc basis. The purpose of this no-credit, no-tuition course is to formalize faculty supervision and support for the Writing Program’s outreach component.

The shape of this course will be mutable, tailored to the ongoing needs of the students, their partner organizations, and the Writing Program. Contact hours will comprise in-person meetings as well as emails and phone calls, focusing on: setting up and running programs and events, working collaboratively, implementing pedagogy, and troubleshooting.

Student leaders will meet as a group with the instructor three times a term.

Individuals leaders will meet with the instructor an additional minimum of twice a term.

The CA/T Director and the instructor will meet about eight times a term.

• Department: Writing
• W 12:15 p.m.-1:45 p.m.
• Instructor: Keri E Bertino
  Info
• 0 points

EXT. NYS ATTORNEY GENERAL

• Department: Law
• Instructor: Monica Wagner
  Info
• 2 points

EXT. NYS ATTORNEY GENERAL

• Department: Law
• 3 points

Data Analytics for Public Policy, Admin

Intro to Data Analytics

MIA and MPA Policy Skills II Core. 
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
• Instructor: Rachel Kovner
  Info
• 1 points

EXT. FEDERAL COURT CLERK EDNY

• Department: Law
• 3 points

Central Asian Politics and Security

Central Asian Pol & Secur

This course surveys the politics and history of the five countries of contemporary Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan). In addition to imparting a substantive understanding of these countries, the course explores several conceptual lenses through which the region can be analyzed both over time and in comparison with other parts of the world. The first half of the course examines the political history of the region, with particular reference to how policies and practices of the Soviet state shaped the former republics of Soviet Central Asia. The second half turns to special topics at the center of the region’s political and social life today. Coverage of these topics—which include democratization, Islam and the politics of counter-insurgency, women and definitions of the public sphere, the politics of nation-building, and international security—will involve light reading from other regions to provide comparative perspective.

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

Database Design, Management, and Securit

Database Design Mgmt & Se

MIA and MPA Policy Skills II Core. 
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

Intro to Text Analysis in Python

Intro-Text Analysis-Pytho

MIA and MPA Policy Skills II Core. 
This course introduces students to foundational concepts and methods for analyzing text-as-data using Python. Designed for beginners with no prior coding experience, the course emphasizes hands-on learning and practical applications across disciplines. Students will explore computational techniques for collecting, cleaning, and analyzing text data from sources such as news media, social media, and websites. Topics include web scraping, working with APIs, sentiment analysis, topic modeling, named entity recognition, and more. The course will also examine the role of generative AI in building custom scripts for data collection and analysis.

Through guided instruction and project-based learning, students will develop beginner-to-intermediate Python programming skills, understand core principles of data analysis, and gain experience using Python to explore research questions relevant to policy, media, business, and technology. The course culminates in a final project that may serve as a portfolio piece for job seekers or public scholarship.

• Department: Data Science for Policy
• S 11:30 a.m.-3:30 p.m.
• Instructor: Rebecca S Krisel
  Info
• 1.5 points

EXTERNSHIP: COMMUNITY DEFENSE

• Department: Law
• 2 points

EXTERNSHIP: COMMUNITY DEFENSE

• Department: Law
• 2 points

Introduction to Infographics and Data Vi

Intro to Data Visualizati

MIA and MPA Policy Skills II Core. 
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

EXT:FED CT CLERK SOUTHERN DNY

• Department: Law
• Instructor: Tiffany Moller
  Info
• 1 points

EXT:FED CT CLERK SOUTHERN DNY

• Department: Law
• 3 points

EXTERNSHIP: CRIMINAL APPEALS

• Department: Law
• 2 points

EXTERNSHIP: CRIMINAL APPEALS

• Department: Law
• 2 points

EXTERNSHIP:FED APPELLATE COURT

• Department: Law
• Instructor: Myrna Perez
  Wikipedia Info
• 1 points

EXTERNSHIP:FED APPELLATE COURT

• Department: Law
• Instructor: Myrna Perez
  Wikipedia Info
• 3 points

Approaches and Models in Occupational Th

Approaches & Models OT

• Department: Rehabilitation Medicine (RMED)
• Instructor: Lauren B Winterbottom
  Info
• 3 points

Student to Clinician

• Department: Rehabilitation Medicine (RMED)
• Instructor: Leslie Kane
  Info
• 1 points

OTHER FRONTIERS IN STAGE MANAGEMENT

OTHER FRONTIERS: DANCE

TBD

• Department: Theatre Arts
• M 2 p.m.-4:50 p.m.
• Instructor: Jacqueline Reid
  Info
• 1.5 points

OTHER FRONTIERS IN STAGE MANAGEMENT

OTHER FRONTIERS: OPERA

TBD

• Department: Theatre Arts
• W 3 p.m.-5 p.m.
• 1.5 points

MINOR WRITING CREDIT

• Department: Law
• 0 points

Generative AI

MIA and MPA Policy Skills II Core. 
This course introduces students to the fundamentals of Generative Artificial Intelligence (Generative AI), with a focus on how these technologies are built and their implications for society and public policy. Students will gain an understanding of language models, large language models (LLMs), deep learning, transformers, and Generative Pre-Trained Transformers (GPT).

In addition to technical foundations, the course explores the societal and policy dimensions of Generative AI, including algorithmic bias, ethical challenges, labor market disruption, and regulatory frameworks. Designed for students with varied technical backgrounds, the course equips future policy professionals with the tools to engage critically with emerging AI technologies.

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

S WORKSHOP IN BRIEFCRAFT

• Department: Law
• Instructor: Sophia Bernhardt
  Info
• 1-2 points

MAJOR WRITING CREDIT

• Department: Law
• 0 points

MAJOR WRITING CREDIT

• Department: Law
• 0 points

Introduction to Addictive Behaviors

INTRO-ADDICTIVE BEHAVIORS

This foundational course provides an understanding of addictive behaviors. Current theories regarding the development of addiction will be identified. Evaluation and assessment skills will be taught based on these theoretical models. Physiological, behavioral, emotional, and societal responses to addiction will be explored. Implications for nursing research are considered.

• Department: Nursing
• M 2 p.m.-3:50 p.m.
• Instructor: Ronica Mukerjee
  Info
• 2 points

LEVEL II FIELDWORK C

LVL II FLDWRK C

• Department: Rehabilitation Medicine (RMED)
• Instructor: Phyllis R Simon
  Info
• 0 points

SUBJECT_OBJECT

• Department: Architecture, Planning and Preservation
• F 9 a.m.-11 a.m.
• Instructor: Suchi Reddy
  Wikipedia Info
• 3 points

SUPERVISED RESEARCH PAPER

• Department: Law
• 1-3 points

SUPERVISED RESEARCH PAPER

• Department: Law
• 1-2 points

SUPERVISED RESEARCH PAPER

• Department: Law
• 1-3 points

SUPERVISED RESEARCH PAPER

• Department: Law
• 1-3 points

SERV-UNPAID FACULTY RSRCH ASST

• Department: Law
• 1-2 points

SERV-UNPAID FACULTY RSRCH ASST

• Department: Law
• 1 points

SERV-UNPAID FACULTY RSRCH ASST

• Department: Law
• 1 points

SUPERVISED RESEARCH: CRSE REL

• Department: Law
• 1-2 points

SUPERVISED RESEARCH: CRSE REL

• Department: Law
• 1-2 points

TOPICS DATA-DRIVEN ANAL & COMP

MACH LEARNING IN BIO&INF

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.
• None None-None
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 3 points

Ex. Legal Practice

• Department: Law
• Instructor: Riti Singh
  Info
• 1 points

Ex. Legal Practice

• Department: Law
• Instructor: Riti Singh
  Info
• Instructor: Ann Scherzer
  Info
• 2-3 points

Ex. Legal Practice

• Department: Law
• 2-3 points

Ex. Legal Practice

• Department: Law
• Instructor: Mark Nielsen
  Info
• 1 points

Ex. Legal Practice

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

Ex. Legal Practice

• Department: Law
• 2 points

Ex. Legal Practice

• Department: Law
• 2-3 points

RESEARCH FOR THE LL.M. DEGREE

• Department: Law
• 1-6 points

RESEARCH FOR THE LL.M. DEGREE

• Department: Law
• 1-6 points

RESEARCH FOR THE LL.M. DEGREE

• Department: Law
• 1-6 points

LL.M. ESSAY

• Department: Law
• 1-8 points

TOPICS DATA-DRIVEN ANAL & COMP

Adv VLSI DA & Methodology

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
• M 1:10 p.m.-3:40 p.m.
• Instructor: Matthew M Ziegler
  Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

GenAI & Modern 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
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Micah Goldblum
  Info
• 3 points

LLM WRITING PROJECT

• Department: Law
• 0 points

Supervised JD Experiential Project

• Department: Law
• 1-3 points

Supervised JD Experiential Project

• Department: Law
• 1-3 points

Supervised JD Exp Proj Course Relat

• Department: Law
• 1-3 points

Supervised LLM Experiential Project

• Department: Law
• 1-2 points

Supervised JD Exp Proj Course Relat

• Department: Law
• 1 points

LLM Experiential Requirement

LLM EXPERIENTIAL REQUIREM

• Department: Law
• 0 points

Inside the Situation Room

Prerequisite: Course Application.
In an era increasingly defined by geopolitical competition, it is more important than ever for future policymakers to understand why and how foreign policy decisions are made. Inside the Situation Room, co-taught by Secretary Hillary Rodham Clinton and Dean Keren Yarhi-Milo, employs insights from diverse academic fields—including political psychology, domestic politics, and international relations—and the direct experience of high-level principals in the room to understand the key factors which underpin a nation’s most crucial decisions. This course allows students to engage with a range of case studies and examine decision-making in a variety of historical and contemporary contexts, from the search for Osama bin Laden, to the “red line” in Syria, to negotiating with Iran.

Students will be taught how to analyze and understand the complex interplay between individual psychology, domestic politics, public opinion, bureaucracy, the international environment, and other factors which feed into decisions about foreign policy—from crisis diplomacy to the use of force, signaling and perception, intelligence and its analysis, the deployment of other instruments of statecraft, and more. Through this course, students will think carefully and analytically about how leaders and other actors view the world, how they arrive at their decisions, and how various social, political, and psychological factors shape the policies they devise to promote their interests abroad. For more information, visit: https://www.sipa.columbia.edu/situationroom

• Department: International Security & Diplomacy
• W 1:10 p.m.-2:50 p.m.
• Instructor: Keren Yarhi-Milo
  Wikipedia Info
• 0 points

THEATRE MANAGEMENT & ADMINISTRATION I

THEATRE MGMT & ADMIN I

• Department: Theatre Arts
• F 10 a.m.-12:50 p.m.
• W 3 p.m.-5 p.m.
• Instructor: Steven E Chaikelson
  CULPA: 5 Info
• Instructor: Timothy A Hess
  Info
• 3 points

Inside the Situation Room - Discussion

ISR SIPA Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• M 10 a.m.-11:50 a.m.
• M 1:10 p.m.-3 p.m.
• T 10 a.m.-11:50 a.m.
• T 1:10 p.m.-3 p.m.
• M 7:10 p.m.-9 p.m.
• T 7:10 p.m.-9 p.m.
• Instructor: Lincoln A Mitchell
  Info
• 3 points

Inside the Situation Room - Discussion

ISR ISP/ISD Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• M 1:10 p.m.-3 p.m.
• 3 points

Inside the Situation Room - Discussion

ISR SIPA Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• R 10 a.m.-11:50 a.m.
• 3 points

Inside the Situation Room - Discussion

ISR ISP/ISD Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• R 1:10 p.m.-3 p.m.
• 3 points

Inside the Situation Room - Discussion

ISR Undergrad Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• R 3:10 p.m.-5 p.m.
• R 1:10 p.m.-3 p.m.
• F 10 a.m.-11:50 a.m.
• F 1:10 p.m.-3 p.m.
• R 10 a.m.-11:50 a.m.
• R 3:10 p.m.-5 p.m.
• 3 points

Inside the Situation Room - Discussion

ISR SIPA Discussion

Required Discussion Section For Inside the Situation Room.

• Department: International Security & Diplomacy
• R 3:10 p.m.-5 p.m.
• 3 points

Probabilistic Models and Machine Learnin

Stat ML: Theory to Practi

Probabilistic Models and Machine Learning is a PhD-level course about how to design and use probability models. We study their mathematical properties, algorithms for computing with them, and applications to real problems. We study both the foundations and modern methods in this field. Our goals are to understand probabilistic modeling, to begin research that makes contributions to this field, and to develop good practices for building and applying probabilistic models.

• Department: Statistics
• MW 2:40 p.m.-3:55 p.m.
• Instructor: David Blei
  Wikipedia h-index: 98 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
• 3 points

Three Crises and a Strategy: The Dilemma

Dilemmas-Modern Foreign P

Perhaps the greatest challenge of policymaking is how to manage the urgent while maintaining focus on the important.  Foreign policy leaders must maintain a strategic direction while also responding to the unexpected, and they often struggle to craft a policy that pursues long-term interests while also meeting the needs of the present and recognizing the reality of limits. This is especially true at a moment of tremendous geopolitical change, uncertainty, and political polarization. Historians will likely remember the years from 2020-2025 as an inflection point for the U.S. in the world — when global dynamics of great power competition, regional conflict, and rapid technological change clashed with an intense debate at home about American leadership and the purpose of power. This 1.5-credit workshop will explore the dilemmas of modern U.S. foreign policy decision-making by re-examining events from 2020-2025, focusing on three crises that are the three most acute policy challenges of the period. This workshop will meet over three sessions and consist of short readings, conversations with guest speakers who were directly involved in these events, and active student participation in discussions.  Each session will have three parts: 1) an overview of key events led by the instructor, 2) a moderated discussion (either in person or by zoom) with a former senior policymaker, and 3) a class discussion about conclusions, implications, opportunities missed, and lessons for the future. 1) The end of the U.S. war in Afghanistan, 2) the Ukraine crisis, and 3) the response to the October 7 attacks in Israel and its aftermath.

Instructor: Derek Chollet

This course will meet as follows: 



Thursday, Sept. 11: 6:00pm-8:00pm



Friday, Sept. 12: 9:30am-12:00pm



Thursday, Oct. 2: 6:00pm-8:00pm



Friday, Oct 3: 9:30am-12:00pm



Thursday, Nov. 20: 6:00pm-8:00pm



Friday, Nov. 21: 9:30am-12:00pm

• Department: International Security & Diplomacy
• F 9:30 a.m.-noon
• 1.5 points

STOCHASTIC MODELING I

Advanced treatment of stochastic modeling in the context of queueing, reliability, manufacturing, insurance risk, financial engineering and other engineering applications. Review of elements of probability theory; exponential distribution; renewal theory; Wald’s equation; Poisson processes. Introduction to both discrete and continuous-time Markov chains; introduction to Brownian motion.

• Department: Industrial Engineering and Operations Research
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Karl Sigman
  CULPA: 15 Info
• 4.5 points

BLDG ADAPT & REUSE

• Department: Architecture, Planning and Preservation
• F 1 p.m.-3 p.m.
• 1.5 points

BUDGETING AND REPORTING

• Department: Theatre Arts
• T 2 p.m.-4 p.m.
• Instructor: Michael Naumann
  Info
• 3 points

DESIGN BY DEVELOPMENT

• Department: Architecture, Planning and Preservation
• M 9 a.m.-11 a.m.
• Instructor: Eran Chen
  Info
• 1.5 points