RESEARCH PROJECT
- Department: Applied Physics and Applied Mathematics
-
Instructor:
Michael I Weinstein
CULPA: 2 h-index: 47 Info -
Instructor:
Ben Zhu
Info -
Instructor:
Michele Simoncelli
Info -
Instructor:
Sherry Zhang
Info -
Instructor:
Carlos Paz Soldan
h-index: 28 Info -
Instructor:
Steven A Sabbagh
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
Teaching Beyond the Gates: A Practicum o
Art Admin & Pedagogy Prac
- Department: Writing
- F 11 a.m.-1 p.m.
-
Instructor:
Keri E Bertino
Info - 0 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
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. 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 Visualization with R
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
This course introduces students to data visualization in R as a tool for exploring data, communicating insights, and supporting evidence-based decision making in public policy. Students will develop practical skills in creating effective visualizations using R's modern data visualization ecosystem, including ggplot2, Plotly, Shiny, and geospatial mapping tools.
Through hands-on work with real-world datasets, students will learn to build static and interactive charts, dashboards, and map-based visualizations while applying best practices in data exploration, data quality assessment, and visual communication. The course emphasizes both the technical foundations of data visualization and the principles of effective design, helping students develop the judgment to create accurate, compelling, and audience-appropriate graphics. Students are encouraged to use generative AI tools as coding assistants while gaining a strong understanding of the underlying concepts and workflows.
By the end of the course, students will be able to create publication-quality visualizations, develop interactive dashboards, visualize geospatial data, conduct exploratory data analysis, and critically evaluate the effectiveness of data visualizations across a range of policy applications. A final project requires students to produce an interactive dashboard based on an original exploratory analysis of a real-world dataset.
- Department: Data Science for Policy
- W 5:10 p.m.-7 p.m.
-
Instructor:
Mike Q Zhu
Info - 1.5 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
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 2:30 p.m.-4:30 p.m.
- 1.5 points
OTHER FRONTIERS IN STAGE MANAGEMENT
OTHER FRONTIERS: CORP. EVENTS
TBD
- Department: Theatre Arts
- T 2 p.m.-4:30 p.m.
-
Instructor:
Linda Marvel
Info - 1.5 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
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.
- 2 points
LEVEL II FIELDWORK C
LVL II FLDWRK C
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Phyllis R Simon
Info - 1 points
SUBJECT_OBJECT
- Department: Architecture, Planning and Preservation
- R 11 a.m.-1 p.m.
-
Instructor:
Suchi Reddy
Wikipedia Info - 3 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.
-
Instructor:
Predrag R Jelenkovic
CULPA: 1 h-index: 35 Info - 3 points
TOPICS DATA-DRIVEN ANAL & COMP
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: Video Network
-
Instructor:
Predrag R Jelenkovic
CULPA: 1 h-index: 35 Info - 3 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 4:10 p.m.-6:40 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
- MW 10:10 a.m.-11:25 a.m.
-
Instructor:
Micah Goldblum
Info - 3 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
- W 9:30 a.m.-12:20 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.
- R 1:10 p.m.-3 p.m.
-
Instructor:
Lincoln A Mitchell
Info - 3 points
Inside the Situation Room - Discussion
ISR ISD Discussion
Required Discussion Section For Inside the Situation Room.
- Department: International Security & Diplomacy
- T 1:10 p.m.-3 p.m.
- T 3:10 p.m.-5 p.m.
-
Instructor:
Jayme R Schlesinger
Info - 3 points
Inside the Situation Room - Discussion
ISR Undergrad Discussion
Required Discussion Section For Inside the Situation Room.
- Department: International Security & Diplomacy
- F 10 a.m.-11:50 a.m.
- F 1:10 p.m.-3 p.m.
- F 3:10 p.m.-5 p.m.
- R 10 a.m.-11:50 a.m.
- R 1:10 p.m.-3 p.m.
- R 3:10 p.m.-5 p.m.
- T 3:10 p.m.-5 p.m.
- T 5:10 p.m.-7 p.m.
-
Instructor:
Kyle Evanoff
Info - 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.
-
Instructor:
Jayme R Schlesinger
Info - 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 1:10 p.m.-2:25 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
-
Instructor:
Julia Hirschberg
CULPA: 8
h-index: 77
Info
- 3 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
- MW 2:40 p.m.-3:55 p.m.
-
Instructor:
Henry Lam
h-index: 17 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
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.
-
Instructor:
Jenny G Crawford
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
- W 8:30 p.m.-10:20 p.m.
-
Instructor:
Sethu L Nair
Info - 3 points