MPA Quantitative II Core.
This course introduces regression analysis as a key tool for policy analysis and program evaluation. Emphasizing causal inference, students will learn to assess the impacts of programs and policies using both experimental and non-experimental methods. The first half of the course reviews foundational concepts from Quant I and builds toward multiple regression techniques; the second half applies those tools to real-world policy settings. Designed for future practitioners, the course focuses on applying and communicating statistical concepts in accessible, non-technical language, and prepares students for advanced coursework in data analysis and program evaluation.
MPA Quantitative II Core.
This course introduces regression analysis as a key tool for policy analysis and program evaluation. Emphasizing causal inference, students will learn to assess the impacts of programs and policies using both experimental and non-experimental methods. The first half of the course reviews foundational concepts from Quant I and builds toward multiple regression techniques; the second half applies those tools to real-world policy settings. Designed for future practitioners, the course focuses on applying and communicating statistical concepts in accessible, non-technical language, and prepares students for advanced coursework in data analysis and program evaluation.
Health economics provides theories and tools for understanding, predicting, and changing human behavior. Understanding and changing the behavior of firms and individuals, designing health policies, and managing firms and organizations concerned with delivering health care and improving health, requires a solid foundation in health economics. In this course, students will learn the concepts in health economics most relevant and important to public health professionals and how these economic concepts can be applied to improving health care and the public health systems. Students will identify the basic concepts of health economics for the purposes of solving problems using these concepts, and apply these concepts in new contexts within public health.
General lectures on stem cell biology followed by student presentations and discussion of the primary literature. Themes presented include: basic stem cell concepts; basic cell and molecular biological characterization of endogenous stem cell populations; concepts related to reprogramming; directed differentiation of stem cell populations; use of stem cells in disease modeling or tissue replacement/repair; clinical translation of stem cell research.
This course is intended to give the student a broad understanding of the components of the health care system and the basic management principles of hospital organization and management. The course will employ a variety of learning formats for students including lectures by the instructors, guest lecturers with special expertise, case studies and student presentations. Emphasis will be on the historical trends of health care statistics and operating data of health care institutions; the history of hospitals and health care systems; their organization and finances; regulatory controls; management strategies; accreditation and professional standards; government; private insurance; administrative leadership and professional interactions, emergency services, healthcare trends and marketing.
In this course, students will continue an exploration of their Idiolects in relationship to both extemporaneous and heightened texts through class and small group work that focuses on audibility, clarity, resonance, vocal dynamics by way of imaginative activation, articulation and ownership. The objective of this course is for students to activate their speech in such a way that it ignites and expands both their imaginations and their capacity to communicate language with honesty. They will experience a full and balanced sound that is neither pushed nor half-baked, neither rushed nor indulgent, and fill space onstage and in the world with their voice and their presence. Students will also hone their skills of self-observation, offer useful feedback and take ownership of and interpret a variety of texts to be expressed on vibration.
In this course, students will continue their individual development of
greater ownership
, expression and embodiment of heightened (mostly Shakespeare’s) text. The objective of this course is for students to practice landing heightened text with honesty and clarity, uniting the Givens and the Imaginatives. “It’s not about making it right, it’s about making it ALIVE.”
Students will:
(Continue to) refine their articulation skills via a strong working knowledge of the IPA and corresponding Lexical Sets
Dance along the fine line between control and freedom of their muscles of articulation in order to share complicated thoughts and speak heightened language with invisible technique
Unpack and investigate texts in order to marry structure with meaning
Interpret texts with Musiclarity – the musicality of the language supporting the clarity of the thought
Play with passion, curiosity, specificity and
humanity.
Voice and Alexander Technique II deepens and expands the work we did in Voice and Alexander Technique I. This continuing course presupposes that you have continued our work in your daily practice and in your other classes and have begun to develop clarity around the inner structure of the body which is your physical and vocal support. Our work this term will help you develop a solid vocal technique, a body that is strong, open and free, and a mind which is clear and focused.
The current market places increasing demands on healthcare managers so it is essential that individuals possess basic skills related to financial management and financial reporting. Current events make these demands more dynamic than ever. This course is intended for students who are interested in expanding their knowledge of healthcare financial issues and/or pursuing careers that involve financial management in the healthcare sector. The focus will be on non-profit healthcare delivery organizations.
Theory of Markov Decision Processes (MDP) and Dynamic Programming. Design and convergence properties of Reinforcement Learning (RL) algorithms including Q-learning and Policy iteration methods. Function approximation and deep RL algorithms: DQN, policy gradient, actor-critic methods. Exporation-Exploitation and regret bounds in RL. Multi-agent RL. RL with Human Feedback (RLHF). RL and Monte Carlo Tree Search (MCTS) for Agentic Systems.
Note: Only one of ORCS E4529 or 6529 may be taken for credit.
In this intensive course, Executive MPA students will learn how to manage an impact measurement and program evaluation lifecycle through lectures, discussions, case studies, readings, and a team project. Students will learn and apply core concepts, methodologies, and frameworks used in the field, as well as be introduced to the use of technologies such as lean data, AI, geospatial tools, mobile, and NLP. Students will consider how to account for diverse stakeholders, risks, counterfactuals, attribution, and the ethical issues involved in data collection, analysis, and reporting. They will also examine critical questions, including: What is the impact, and who is to define it? How do we account for unintended consequences? How should long-term outcomes be measured meaningfully while satisfying short-term investment horizons? Finally, students will consider how the practice of impact measurement and program evaluation can be leveraged to inform program design and strategy, strengthen mission alignment, deepen accountability, and foster a culture of continuous learning in government, nonprofit, and private sector actors.
This course examines the global reliance on Russian energy exports in the aftermath of the 2022 invasion of Ukraine and the realignment of geopolitical and energy markets. Students will assess whether Russia can operate without Western customers and whether the West can isolate Russia while securing its own energy needs. The course explores disrupted energy ties between Russia and Europe, shifting alliances with China, India, the Middle East, and the Arctic, and how sanctions have reshaped oil and gas flows worldwide. Through regional case studies and up-to-date policy analysis, students will investigate Russia's role in OPEC+, the Black and Caspian Seas, and the future of European energy diversification, including hydrogen initiatives.
Analytics and Managerial Decision-Making I is the first of two required quantitative methods courses taken in sequence by all MHA students. These courses are foundational to the MHA curriculum. The two courses are fully integrated with respect to materials, exercises and cases, and by a two-term, team-based application project.
Managers are continually confronted with the need to make significant decisions concerning the organizational and financial performance of a health organization, based on a combination of strategic intention, practical experience, and interpretation and application of complex data and information. Data analysis is one tool that supports such decision-making. This course is designed to provide management students with the tools to generate and present data-driven and model-based management recommendations that are meaningful and implementable.
The course focuses on learning basic tools for the collection, analysis, and presentation of data in support of managerial/executive decision-making. Topics will include introductory data and statistical exploration from basic descriptive statistics to population and market estimation, comparison testing and decision-making, sampling design and analysis, and predicting/forecasting using linear regression. Using Excel as an additional tool, the course develops analytical skills to prepare managers to make and to present informed decisions in the overall healthcare sector.
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
This course explores the development of relations between Russia and the United States from the end of the Cold War to the present day. It also reveals a broader trend: in the early 1990s, it seemed that Western liberal values were triumphant worldwide. However, as Russia failed to transition into a democratic state, anti-Americanism and revanchism began to flourish. After becoming president, Vladimir Putin exploited these sentiments, ultimately making anti-Americanism a central aspect of his international political agenda. Russian propaganda has not only influenced the Russian population but also seeks to spread these ideas and conspiracy theories beyond Russia’s borders. As an inherently unstable political system, Russia aims to destabilize the West. The course concludes with an analysis of present-day dynamics.
This course explores how the Russian state under Vladimir Putin has deployed homophobia and appeals to "traditional values" as tools of political control, ideological warfare, and foreign policy. It examines the domestic origins of this agenda, the role of propaganda platforms such as RT and Russian troll farms in exporting these narratives globally, and the resonance of Russian-style traditionalism in various geopolitical contexts—including Eastern Europe, the Arab world, Asia, Africa, and the Americas.
Through case studies, media analysis, and frameworks from political science, media studies, and queer theory, students will assess how authoritarian regimes manipulate ideas of gender, family, and "moral order" to undermine liberal democracy and build international ideological alliances. The course includes comparative analysis with other illiberal regimes, media literacy work on disinformation, and attention to resistance efforts by civil society and LGBTQ+ communities. Guest speakers may join some sessions to provide firsthand insight into these global dynamics.
This course tracks the trajectories of politics in the Caucasus, focusing on the political development of the independent states of the South Caucasus: Armenia, Azerbaijan, and Georgia. While the emphasis is on contemporary dynamics, the course considers how Imperial Russian expansion and Soviet structures interact with current mechanisms of interest articulation and power. Topics include post-Soviet conflicts, regime types, institutions, political economy, and foreign policy. Students will examine each country individually and comparatively
Holistic understanding of the science and socioeconomic modelling of climate change, the properties of renewable energy sources, their economic and engineering
implications, and the policy decisions in the transition to future energy. Fundamentals of systems needed to support deep penetration of renewable energy, including grid stability, transmission and storage systems, and the design and operations of carbonaware datacenters.
Selected advanced topics in smart electric energy. Content varies from year to year.
This course is designed to present major theoretical systems of psychotherapy, with a special emphasis on how clients in therapy change and how to conceptualize clients' presenting concerns from theoretical points of view. Issues related to application of theory in practice, especially those related to individual/cultural diversity will be addressed and emphasized.
Selected advanced topics in smart electric energy. Content varies from year to year.
Advanced Linear Algebra, Complex Variable Theory, Integral Transforms, Measure Theory and Probability Theory, Advanced Information Theory, Differential and Difference Equations, Calculus of Variations, Nonlinear Optimization, State-Space Modeling, Advanced Signal Processing and Recognition: non-Stationary Signal Recognition, Spectral and Cepstral Analysis, Supervised and Unsupervised Clustering, Decision Theory, Math of modern NN architectures.
Prerequisites: permission of the departmental adviser to Graduate Studies.
MIA and MPA Policy Skills I Core.
This course provides students with practical skills to communicate clearly and persuasively on issues they care about. Whether writing to influence policy, shape public opinion, or present ideas within an organization, the ability to craft sharp, purposeful messages is essential. Students will learn to distill their key arguments, adapt their writing for different audiences, and develop strong foundational pieces such as op-eds, press releases, and policy memos. The course also introduces generative AI tools as part of the writing process—teaching students how to use AI to brainstorm, draft, and revise more efficiently, while critically assessing its outputs. As AI transforms how we write and communicate, this course equips students to harness its benefits while maintaining their own voice, judgment, and clarity of thought.
Prerequisites: the instructors permission. In this year-long sequence students gain familiarity with the materials used in electroacoustic music and the techniques and equipment that are employed to transform and organize these materials into compositions. Individual projects are assigned.
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.
MIA Policy Skills II Core.
Making good policy is a science, an art, and a craft. This course introduces students to the key principles of public policy design from global perspectives. Students will engage with a policymaker’s toolbox, examining best practices in evidence-based and participatory policymaking, policy innovation, and policy design. In addition to exploring the conceptual foundations of policymaking, the course equips students with practical tools they can apply throughout careers in government, think tanks, international organizations, civil society, and the private sector. A central focus of the course is policy memo writing. Students will learn how to conduct concise, evidence-based policy analysis and design meaningful policy solutions. Additional tools covered include: The design and use of indicators and public opinion polls; Stakeholder mapping; Public participation plans; Theories of change; Intersectional policy analysis.
By the end of the course, students will have a deeper understanding of how public policy is made and implemented across diverse contexts, along with enhanced skills for designing effective public policies and programs.
An introduction to combinatorial optimization, network flows and discrete algorithms. Shortest path problems, maximum flow problems. Matching problems, bipartite and cardinality nonbipartite. Introduction to discrete algorithms and complexity theory: NP-completeness and approximation algorithms.
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.
Convex sets and functions, and operations preserving convexity. Convex optimization problems. Convex duality. Applications of convex optimization problems ranging from signal processing and information theory to revenue management. Convex optimization in Banach spaces. Algorithms for solving constrained convex optimization problems.
Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning.
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.
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.
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.
MIA Policy Skills II Core.
This course provides students with a foundation in the principles and practices of video journalism and multimedia narrative. Against a backdrop of rapidly evolving platforms, technologies, and generative AI tools, students will learn how to create compelling, credible video content that cuts through the noise of the contemporary media landscape. Led by experienced journalists from PBS NewsHour and the Thomson Reuters Foundation, the class offers a blend of hands-on technical training, theoretical exploration of media production, and critical reflection on the social, ethical, and narrative dimensions of visual communication. Students will produce, film, write, and edit a portfolio of original video stories, using smartphones, digital cameras, and Adobe Premiere. Coursework includes individual and collaborative assignments, culminating in a final video essay project and pitch. In addition to developing technical skills, students will gain experience in story development, audience engagement, and content distribution.
MIA Policy Skills II Core.
This course equips students with the journalistic tools necessary to communicate policy ideas to broad public audiences. Through a combination of seminar discussions and workshop-based learning, students develop fluency in multiple forms of opinion writing, including op-eds, essays, blogs, and newsletters. Weekly writing assignments guide students in translating specialized policy expertise into persuasive, accessible prose suitable for publication in student and professional media outlets.
Participants will learn to craft compelling narratives that bridge the gap between expert analysis and public discourse, while cultivating editorial skills through constructive peer feedback. The course emphasizes revision as a core element of the writing process and encourages students to experiment with different genres and styles.
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.
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.
The course aims to analyze dynamic, multivariate interactions in evolutionary and non-stationary processes. The course first considers stationary univariate time-series processes and then extend the analysis to non-stationary processes and multivariate processes. The course covers a review of linear dynamic time-series models and focus on the concept of cointegration, as many applications lend themselves to dynamic systems of equilibrium-correction relations. In the final analysis, the course is aimed at presenting a certain number of econometric techniques the mastery of which is becoming increasingly inevitable in professional circles.
MIA and MPA Policy Skills II Core. Pre-req: Quant I. Priority Registration: MIA and MPA.
We will examine the evolution and revolution in data-driven politics as practiced by leading campaigns and advocacy efforts. The course will provide an overview of key issues in public opinion polling, large-scale microtargeting, randomized controlled trial testing, the application of behavioral science and modern statistical techniques, as well as the current and emerging uses of large language models. Our primary focus will be on developments in U.S. political and advocacy campaigns, but we will also examine the international applications of these tools. The course is designed to provide an informative yet critical overview of an area where it is often difficult to separate hype from expertise. The purpose of the course is to prepare students to understand the strengths and limitations of evidence-based approaches, analytics, and current applications of artificial intelligence. The course provides concrete and practical knowledge of some of the key tools in use in campaigns and advocacy. Students will be encouraged throughout the course to view developments in political analytics as an example of how emerging techniques can be applied and misapplied in a range of organizations and efforts. Students will have opportunities to work on specific advocacy or organizational issues of their own interest, developing approaches to the use of new data and analytics tools that may be of use as they consider specific careers in a range of fields. Students will have the opportunity to design, field, and analyze their own polling questions.
Students will be required to make extensive use of current AI tools, even as those tools change during the course. The course will encourage the use of these tools to support rigorous statistical reasoning while requiring students to understand the appropriate use of methods that are now at least superficially easier to apply. It is strongly recommended that students have completed Quantitative Analysis before taking this course. The class will include outside speakers with expertise in polling, analytics, the use of AI in politics, and other areas.
Mark Steitz is a Washington, DC based communications and analytics strategist. He founded TSD Communications and co founded Catalist (large scale voter data), The Analyst Institute (evidence based voter contact), and QRS New Media (communications technology). He served on the Advisory Board of th
This course aims to provide students with further instruction on how (1) to motivate detailed empirical analysis on a research question of their choice, (2) to justify and to design appropriate econometric tests using relevant time-series, cross-sectional, or panel data, etc., and (3) to draw accurate inferences—as well as direct policy implications—from their results for a wide audience. To meet this objective, the key course requirement is to write an empirical policy paper that details (1)–(3) in no more than 5000 words total (including exhibits, references, etc.), geared not for academics but for economic policymakers or other practitioners. Also, students will be required to report their findings to their instructor, advisors, and fellow students during 10- to 15-minute slide presentations toward the end of the semester.
MIA and MPA Policy Skills II Core. Priority Registration: MIA and MPA.
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.
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.