Engineering Fieldwork
ENGINEERING FIELDWORK
Only for Engineering graduate students in the relevant programs who need relevant work experience as part of their program of study. May not be taken for pass/fail credit or audited.
- Department: Engineering
- 1-1.5 points
CURATORIAL COLLOQUIUM
The Curatorial Colloquium is taken in the second semester of study and is required for the completion of the M.A. in Modern Art: Critical and Curatorial Studies. The course introduces students to the history, theory and practice of object collection and display as well as to exhibitions such as Documenta and the various international biennials. The course is designed to allow for guest presentations on particular issues by curators and museum professionals, just as it draws on the expertise and participation of Columbia faculty. The aim is to develop students critical thinking and for them to learn directly from leading practitioners in the exhibition and display of modern and contemporary art. In addition to department faculty, curators from MoMA, the Whitney, the International Center for Photography, and other institutions regularly participate in the colloquium.
- Department: Art History and Archaeology
- W 4:10 p.m.-6 p.m.
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Instructor:
Janet L Kraynak
Info - 4 points
CHINESE LINGUISTICS & PEDAGOGY
This course describes the morphological, syntactic and phonological structures of Chinese language within the framework of the functional grammar. The focus is placed on the “mapping” of linguistic forms and their semantic and pragmatic functions. Pedagogical suggestions on how to teach these structures are also provided.
Prerequisites: CHNS G5000x. This course is designed for graduate students who have successfully passed Course I (G5000) and who are permitted by the Department to take this course, which entails working as a teaching assistant in the Chinese language program. In addition to coordinating closely with his or her mentors and the course coordinator, the student TA has to design and teach first year drill sessions, team-teach with his or her mentors, and do other teaching-related assignments.
- Department: East Asian Languages and Cultures
- MWR 2:10 p.m.-3 p.m.
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Instructor:
Lening Liu
CULPA: 9 Info - 3 points
METHODS IN AMERICAN STUDIES
Conceived in the 1920’s and 1930’s, American Studies sought to make a synoptic account of the “national character.” Since the 1960’s, the field has turned towards a focus on various forms of inequality as the dark side of American exceptionalism. This course surveys the development of the field’s current preoccupations, covering a range of periods, regions, groups, and cultural practices that present productive problems for generalizations about U.S. identity. We begin with the first academic movement in American Studies, the myth and symbol school—and think through its growth in the context of post-WWII funding for higher education. We then move on to a series of debates centered at intersections of race, ethnicity, gender, and sexuality. We’ll close by examining the historical background of protest movements built around the identitarian concerns about rape culture and mass incarceration.
- Department: Ethnicity and Race, Center for
- M 2:10 p.m.-4 p.m.
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Instructor:
Matthew Sandler
CULPA: 1 Info - 4 points
RES SKILLS/MTHDS-INT/WRLD HIST
In the first semester a series of workshops will introduce the field of international history and various research skills and methods such as conceptualization of research projects and use of oral sources. The fall sessions will also show the digital resources available at Columbia and how students can deploy them in their individual projects. In the second semester students will apply the skills acquired in the fall as they develop their proposal for the Masters thesis, which is to be completed next year at the LSE. The proposal identifies a significant historical question, the relevant primary and secondary sources, an appropriate methodology, what preliminary research has been done and what remains to be done. Students will present their work-in-progress.
- Department: History
- F 12:10 p.m.-2 p.m.
- 3 points
THEORY AND METHODS II
The main purpose of this course is to acquaint students with different theories and methodological approaches to reading and interpretation of texts. This course may not be taken as Pass/D/Fail.
- Department: Middle Eastern, South Asian and African Studies
- M 4:10 p.m.-6 p.m.
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Instructor:
Sudipta Kaviraj
Wikipedia Info - 4 points
Political Violence in 20C. Europe
Political Violence 20C Eu
In the twentieth century, Europe became a site of extreme and extensive forms of political violence. This course will explore the main typologies of violence––driven by political motives and exerted by state and non-state actors––that emerged in that period, from both a historical and a theoretical point of view. The main goal of the course is to think critically about a set of substantive questions such as how people transformed political adversaries into enemies to be physically harmed; why some conflicts resulted in the killing of massive numbers of civilians; what were the social consequences of violence; and whether it is possible to observe patterns to violence’s occurrence in modern Europe.
The course proposes a multi-disciplinary approach that bridges History, Political Science, Sociology, and other fields of study that investigate this phenomenon. The course will locate political violence within its specific historical, geographical, and cultural contexts; shed light on the dynamics of radicalization, escalation, and de-escalation; and examine perpetrators’ individual as well as collective experiences. In addition to interpretative frameworks, the course will discuss a number of empirical cases, including the Armenian genocide in Turkey, paramilitarism in Italy, the civil war in Spain, and terrorism in Ireland and Germany.
- Department: Modern European Studies
- M 4:10 p.m.-6 p.m.
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Instructor:
Luca Falciola
Info - 4 points
INTRODUCTION TO FINANCE
Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
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Instructor:
Eleni Vrana
Info -
Instructor:
Stephen Hurley
Info - 3 points
Topics in Technology Career Paths and In
Topics in Technology Career Paths and Industry
is a discussion series where faculty, alumni, and industry professionals share their experiences navigating careers across the technology landscape.
This series offers a look at how the program’s curriculum translates into real-world skills and professional opportunities. Explore how the courses, projects, and experiences shape thinking, support building technical and professional toolkits, and launch impactful careers in technology.
Students will examine a range of career paths, gain insights into industry trends, and engage in conversations that connect classroom learning to practice.
- Department: Technology Management
- W 12:10 p.m.-2 p.m.
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Instructor:
Katja Schroeder
Info - 0 points
Quant Methods for Climate Applications
Quant Methods-CLMT Applic
Required course for students in the Climate and Society MA program. An overview of how climate-societal and intra-societal relationships can be evaluated and quantified using relevant data sets, statistical tools, and dynamical models. Concepts and methods in quantitative modeling, data organization, and statistical analysis, with applications to climate and climate impacts. Students will also do some simple model experiments and evaluate the results. Lab required. Pre-requisites: undergraduate-level coursework in introductory statistics or data analysis; knowledge of calculus; basic familiarity with R programming language.
- Department: Climate School
- MW 10:10 a.m.-11:25 a.m.
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Jason Smerdon
CULPA: 4 h-index: 47 Info - 4 points
MATERIALS & PRACTICES-ART HIST
- Department: Art History and Archaeology
- R 12:10 p.m.-2 p.m.
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Instructor:
Frederique Baumgartner
CULPA: 3 Info - 4 points
CORPORATE FINANCE
Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
John D Van Ness
Info - 3 points
Regional Climate science and forecasting
Regional climate & foreca
Effective climate adaptation requires the wise application of climate information to decision making on an everyday basis. Many decisions in society are at local scales, and regional climate information considered at appropriate scales and in appropriate forms co-developed by scientists, forecast providers and users is central to the concept of climate services. Students will build an understanding of the dynamics of climate variability and change at regional and local scales, along with the sources of modern climate information used to help manage climate-related risks and adapt to climate change. This includes hands-on Climate Data Analysis and proactive Risk Analysis using historical climate data, real-time monitoring, climate forecasts, and climate change projections.
- Department: Climate School
- W 1:10 p.m.-3:40 p.m.
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Instructor:
Andrew Robertson
Info - 3 points
ANALYSIS OF FILM LANGUAGE
- Department: Film
- W 2 p.m.-5:45 p.m.
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Instructor:
Annette Insdorf
CULPA: 10 Wikipedia Info - 3 points
MODA THESIS PREP
The MODA Thesis Prep is a required course for MODA students who plan to commence their thesis in the Fall of the following semester. The course introduces students to the fundamentals of an MA thesis; the process of identifying and developing an appropriate topic; the distinctions between a written/scholarly, or an exhibition-based thesis; formulating a proposal; and an introduction to the research and writing process that will be undertaken during the thesis year. As a central aspect of modern and contemporary art historical writing is determining one’s methodological approach––i.e. the “how” of the argument––during the course of the semester, key methodologies used in modern and contemporary art history will be reviewed, helping students to identify an appropriate approach to pursue with their select topic.
- Department: Art History and Archaeology
- T 2:10 p.m.-4 p.m.
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Instructor:
Janet L Kraynak
Info - 3 points
RECITATION FOR PROGRAMMING FOR DATA SCIE
RECITATION FOR PROGAM FOR
RECITATION FOR STAT5206 PROGRAMMING FOR DATA SCIENCE
- Department: Statistics
- F 2:40 p.m.-3:55 p.m.
- F 11:40 a.m.-12:55 p.m.
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Instructor:
Benjamin K Goodrich
Info - 0 points
OPTIONS AND FUTURES
The course seeks to familiarize students with the basic derivatives (futures and options contracts). Both have played a role in the markets for many-many years (before the emergence of modern derivative markets in the 70s). Following the beginning of standardization at CBOE (1973) we have witnessed a dramatic growth in options markets and options are now traded on many exchanges around the world (CBOE, PHLX, NYSE etc.) Huge volumes of options are also traded over the counter (OTC), particularly on foreign exchange and interest rates. Many options are traded daily in the markets on a wide array of underlying assets from commodities to financial instruments (stocks, bonds, indexes, currencies, futures etc.) to… weather! The appearance of exotic options has driven volumes even higher in the OTC market providing investors with even wider possibilities for customizing risks borne and hedging against risks.
- Department: Enterprise Risk Management
- R 6:10 p.m.-8 p.m.
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Instructor:
Ted Jastrzebski
Info - 3 points
FINANCIAL ACCOUNTING
Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.
- Department: Enterprise Risk Management
- M 8:10 p.m.-10 p.m.
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Instructor:
Melissa Hall
Info - 3 points
Climate Change and Disaster Management
Climate Change Disaster M
As climate related disasters continue to grow, the impacts of climate change and sustainable development on disaster threats and vulnerabilities are increasingly pronounced. Many of those in the field of disaster management are having to contend with increasing frequency and severity of disasters. Concurrently, disaster risk reduction and response frameworks are struggling to meet the challenge of 21st century disasters. At the same time, the field of disaster research is generating new insights into how the built environment, social structures, and ecological dynamics are intersecting to set the stage for disaster vulnerability, and thus can be better engineered for resilience. As this field continues to evolve, many who many not necessarily identify as disaster managers are also increasingly involved in disaster management in some capacity. With this, the dynamics of disaster risk reduction and disaster management are essential in working with communities and negotiating development activities in ways that are inclusive of a broad range of values, goals and incentive structures.
- Department: Climate School
- R 1:10 p.m.-3:40 p.m.
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Instructor:
Jeffrey Schlegelmilch
Info - 3 points
CINEMA HIST I:BEGINNINGS-1930
- Department: Film
- T 2:10 p.m.-4:55 p.m.
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Instructor:
Jane Gaines
CULPA: 4 Info - 3 points
INTRO TO THE MATH OF FINANCE
Prerequisites: MATH UN1102 and MATH UN1201 , or their equivalents. Introduction to mathematical methods in pricing of options, futures and other derivative securities, risk management, portfolio management and investment strategies with an emphasis of both theoretical and practical aspects. Topics include: Arithmetic and Geometric Brownian ,motion processes, Black-Scholes partial differential equation, Black-Scholes option pricing formula, Ornstein-Uhlenbeck processes, volatility models, risk models, value-at-risk and conditional value-at-risk, portfolio construction and optimization methods.
- Department: Mathematics
- MW 7:40 p.m.-8:55 p.m.
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Instructor:
Mikhail Smirnov
CULPA: 16 Info - 3 points
MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT
- Department: Human Capital Management
- T 6:10 p.m.-8 p.m.
- W 8:30 p.m.-10 p.m.
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Instructor:
Aaron S Wallen
CULPA: 1 h-index: 5 Info - 3 points
CLIMATE SCI FOR DEC MAK: MOD, ANL & AP
CLIMATE SCIENCE FOR DEC MAKERS
Both human and natural systems are growing more vulnerable to climate variability (e.g., the anomalous weather induced by the El Nino-Southern Oscillation, or the increase in hurricanes that occurs when ocean currents warm the Atlantic) and to human-induced climate change, which manifests itself primarily through increases in temperature, precipitation intensity, and sea level, but which can potentially affect all aspects of the global climate. This course will prepare you to estimate climate hazards in your field thereby accelerating the design and implementation of climate-smart, sustainable practices. Climate models are the primary tool for predicting global and regional climate variations, for assessing climate-related risks, and for guiding adaption to climate variability and change. Thus, a basic understanding of the strengths and limitations of such tools is necessary to decision makers and professionals in technical fields.
This course will provide a foundation in the dynamics of the physical climate system that underpin climate models and a full survey of what aspects of the climate system are well observed and understood and where quantitative uncertainties remain. Students will gain a fundamental understanding of the modeling design choices and approximations that distinguish Intergovernmental Panel on Climate Change (IPCC)-class climate models from weather forecasting models and that create a diversity of state-of-the-art climate models and climate projections.
This course will provide an overview of the ways in which climate model output and observations can be merged into statistical models to support applications such as seasonal and decadal projections of climate extremes, global and regional climate impacts, and decision-making. Students will develop the skills to visualize, analyze, validate, and interpret climate model output, calculate impact-relevant indices such as duration of heat waves, severity of droughts, or probability of inundation, and the strategies to characterize strengths and uncertainties in projections of future climate change using ensembles of climate models and different emission scenarios.
- Department: Sustainability Science
- T 4:10 p.m.-6 p.m.
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Instructor:
Michael Previdi
Info - 3 points
Banking and Technology: Financial Servic
This course offers students a strategic and applied framework for understanding the transformative impact of financial technology (FinTech) on the global banking and financial services industry. Through case studies, industry analysis, and collaborative projects, students will explore how traditional banks, fintech unicorns, big tech firms, and non-bank financial players are reshaping the competitive landscape.
The course traces the evolution of fintech across core sectors, including payments, lending, and capital markets, while examining the rise of disruptive technologies such as artificial intelligence, machine learning, blockchain, open banking, and digital currencies, including CBDCs, cryptocurrencies, and decentralized finance. Students will also analyze the regulatory and governance challenges emerging from rapid innovation in financial services.
Emphasizing strategic thinking, leadership, and applied analysis over technical specialization, the course culminates in an individual research paper and a team-based final project. It is designed for students aspiring to leadership roles in the evolving global digital financial ecosystem.
Delivered in person over seven weeks, this 1.5-elective course is open to graduate students across the School of Professional Studies and other Columbia University programs. There are no specific competencies, prerequisite knowledge, or prior coursework in the discipline required to enroll.
- Department: Technology Management
- R 2:10 p.m.-4 p.m.
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Instructor:
Richard Goldberg
Info - 1.5 points
Proseminar
Proseminar is designed to offer beginning MA and PhD students an overview of (i) the major sub-disciplinary areas that are gathered under the umbrella term ‘classics’, making it a fundamentally interdisciplinary field of enquiry, and (ii) the diverse methodologies that are standardly applied in many subfields of classical research and publication.
- Department: Classics
- F 2:10 p.m.-4 p.m.
- TF 4:10 p.m.-6 p.m.
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Instructor:
Paraskevi Martzavou
CULPA: 2 Info -
Instructor:
Katharina Volk
CULPA: 7
Info
- 1 points
Social Impact: Business, Society & the E
Soc Impacts: Bus, Soc & E
The Social Impact: Business, Society, and the Natural Environment course explores the relationship between corporations, society, and the natural environment. Specifically, it examines the ways in which governments, (for-profit and non-profit) organizations, and investors (fail to) have positive impact and manage issues where the pursuit of private goals is deemed inconsistent with the public interest.
- Department: Climate School
- T 1:10 p.m.-3:40 p.m.
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Instructor:
Caroline Flammer
Info - 3 points
Climate Mobility
It is widely accepted that climate factors can and do affect human mobility, though the degree of their influence varies depending on local contexts. In the case of population displacement, rapid onset climate extremes have a relatively direct impact on mobility, and for longer-term migration climate factors also have been shown to play a role, often mediated by more direct drivers. There is a growing recognition that underlying institutional and structural factors (i.e., root causes) shape the way the climate stressors impact local migration decision-making, and that cultural proclivities and inequitable access to resources, markets, and political power structures often set the stage for ensuing migration flows (domestic and international). In many low income settings the donor and development assistance community are grappling with these complex nexus issues as they seek to develop policies and programs that reduce the potential for distress or mass migration. Responses to date generally fall into four categories; 1) those that address the livelihood aspects of climate migration -- e.g., by improving the prospects for local adaptation; 2) those that seek to facilitate mobility as an adaptation mechanism; 3) those that resettle people in new locations and offer migrant protections; and 4) those that seek to mitigate the impacts of those movements, including environmental impacts, on receiving communities. In high income settings, responses to current and potentially increased immigration from developing countries tends to fall into two camps: a resurgent nationalism with measures to prevent or deter migration versus more migrant-friendly policies that seek to protect migrant rights while acknowledging responsibility for historic greenhouse gas emissions. In addition, high income countries are facing climate impacts of their own such as sea level rise, riparian flooding and massive fires that have displaced thousands and prompted managed retreat from at-risk areas. All this has brought to the fore questions of equity and climate justice as marginalized populations everywhere are often disproportionately affected and least compensated. This interdisciplinary course focuses on the social, demographic, economic, political, environmental and climatic factors that shape human mobility, while addressing the legal categories of international mobility (e.g., migrant versus refugee). We explore underlying drivers of the various types of migration – from forced to voluntary and those forms in between – in ord
- Department: Climate School
- T 4:10 p.m.-6:40 p.m.
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Instructor:
Alexander M Desherbinin
Info - 3 points
DATA ANALYSIS FOR THE SOCIAL SCIENCES
Prerequisites: One semester of undergraduate statistics The data analysis course covers specific statistical tools used in social science research using the statistical program R. Topics to be covered include statistical data structures, and basic descriptives, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, models for binary outcomes, naive Bayes classifiers, models for ordered data, models for nominal data, first difference analysis, factor analysis, and a review of models that build upon OLS. Prerequisite: introductory statistics course that includes linear regression. There is a statistical computer lab session with this course: QMSS G4017 -001 -DATA ANALYSIS FOR SOC SCI
- Department: Quantitative Methods/Social Sciences
- R 6:10 p.m.-8 p.m.
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Instructor:
Pierre Lucien
Info - 3 points
FIFTH YEAR JAPANESE II
Prerequisites: JPNS GR5016 or the equivalent. This course is intended to help students to develop language skills necessary for academic research. Students will read articles, watch videos, and debate issues from a wide range of fields including economics, politics, history, comparative literature, and current issues.
- Department: East Asian Languages and Cultures
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Miharu Nittono
CULPA: 10
Info
- 4 points
ADV ANALYTIC TECHNIQUES
This course is meant to train students in advanced quantitative techniques in the social sciences. Statistical computing will be carried out in R. Topics include: review of multiple/linear regression, review of logistic regression, generalized linear models, models with limited dependent variables, first differences analysis, fixed effects, random effects, lagged dependent variables, growth curve analysis, instrumental variable and two stage least squares, natural experiments, regression discontinuity, propensity score matching, multilevel models or hierarchical linear models, and text-based quantitative analysis.
- Department: Quantitative Methods/Social Sciences
- F 10:10 a.m.-noon
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Instructor:
Gregory M Eirich
CULPA: 1 Info - 3 points
STRATEGIC STORYTELLER
The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice. By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.
- Department: Strategic Communication
- T 2:10 p.m.-4 p.m.
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Instructor:
Kevin Visconti
Info - 3 points
INTRODUCTION TO MARKETING
Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.
- Department: Strategic Communication
- M 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
- 3 points
COST BENEFIT ANALYSIS
This course is about cost-benefit analysis and the economic evaluations of policies and projects. Cost benefit analysis (CBA) consists of a comprehensive set of techniques used to evaluate government programs. It is now routinely applied in such program areas as transportation, water projects, health, training and education, criminal justice, environmental protection, urban policy and even in the international arena such as foreign direct investment. Many of the techniques of CBA can also be applied to private sector decision-making. The objective of CBA is to determine whether the benefits of a particular program, policy or decision outweigh its costs. The techniques used to determine this are sometimes quite simple, but on other, increasingly frequent occasions are highly sophisticated. Sophisticated cost benefit studies are based on a framework that utilizes the basic concepts of economic theory. In addition, statistical and econometric analyses are often needed to estimate program effects from diverse available data. The course has two parts: methodology and practice. The goal is for students to be practically adept to undertake an independent cost-benefit analysis.
- Department: Sustainability Management
- R 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Alexander Heil
Info -
Instructor:
Amin Mohseni-Cheraghlou
Info - 3 points
RES SEM IN QUANT MTHS-SOC SCI I
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
- Department: Quantitative Methods/Social Sciences
- W 6:10 p.m.-8 p.m.
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Instructor:
Gregory M Eirich
CULPA: 1 Info - 3 points
RES SEM IN QUANT MTHS-SOC SCI I
RES SEMINAR I
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
- Department: Quantitative Methods/Social Sciences
- T 6 p.m.-8 p.m.
- R 6:10 p.m.-8 p.m.
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Instructor:
Sandhya Kajeepeta
Info -
Instructor:
Steven Hubbard
Info - 3 points
THEORY & PRACTICE OF LIFE CYCLE ASSESSME
THEORY & PRAC LIFE CYCL ASSMNT
Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.
- Department: Sustainability Management
- R 4:10 p.m.-6 p.m.
- W 6:10 p.m.-8 p.m.
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Instructor:
Christoph J Meinrenken
h-index: 15 Info -
Instructor:
Kim Matsoukas
Info - 3 points
Earth Studio: Toward Climate Justice and
Earth Studio: Climate Jus
“Earth Studio: Toward Climate Justice and Resilience: Caribbean Basin
is a (3) credit elective course offered in the Columbia Climate School Masters of Climate and Society Program.
Taught in a collaborative format with GSAPP’s Water Urbanism Design (UD) Studio, this course will explore climate justice and action through the intersections of urban planning, design, and policy in support of communities and ecologies on the frontlines of the climate crisis.
- Department: Climate School
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Johanna Lovecchio
Info - 3 points
Quantum Mechanics II (for Quantum Master
This course is the second course of a two-semester sequence that provides a rigorous, master's-level foundation in quantum mechanics, uniquely structured for an interdisciplinary cohort of physicists, engineers, and computer scientists. The course pivots from isolated systems covered in the first course to the realistic, noisy environments that define modern quantum technology. Students will master the density matrix formalism, the physics of open quantum systems, the thermodynamics of decoherence, and the Lindblad master equation to understand exactly how the physical environment degrades stored quantum information. Rather than treating errors as abstract mathematical operations, modern quantum hardware platforms—including superconducting transmons, dynamically reconfigurable Rydberg atom arrays, and trapped ions—will be analyzed to study the real-world physics of quantum memory and signal transmission. We will start by asking
“What happens when two quantum systems interact?”
(entanglement). Then we will ask,
“What happens if we can only look at one of them?”
(density matrix and partial trace). Finally, we will ask,
“What happens if the second system is the entire rest of the universe?”
(open systems, decoherence, and the Lindblad equation). Ultimately, this sequence equips students with the conceptual maturity required to engage with state-of-the-art quantum hardware, experimental device physics, and condensed matter research.
- Department: Physics
- TR 11:40 a.m.-12:55 p.m.
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Instructor:
Hector Ochoa
Info - 3 points
RES SEM IN QUANT MTHS-SOC SCI II
This course has two goals. One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.
- Department: Quantitative Methods/Social Sciences
- W 6:10 p.m.-8 p.m.
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Instructor:
Gregory M Eirich
CULPA: 1 Info - 3 points
RES SEM IN QUANT MTHS-SOC SCI II
RES SEMINAR II
This course has two goals. One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.
- Department: Quantitative Methods/Social Sciences
- T 6 p.m.-8 p.m.
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Instructor:
Sandhya Kajeepeta
Info - 3 points
RES SEM IN QUANT MTHS-SOC SCI II
This course has two goals. One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.
- Department: Quantitative Methods/Social Sciences
- R 6:10 p.m.-8 p.m.
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Instructor:
Steven Hubbard
Info - 3 points
Climate Change Law and Policy
This course surveys the legal and policy mechanisms, and political and social forces, that can be utilized to mitigate the emission of greenhouse gases and to adapt to a warming planet. We will start with a brief introduction to the kinds of policy challenges that climate change poses to international and domestic legal regimes. The course will then consider the international, federal, state and local legal regimes applicable to climate change, with an emphasis on U.S. law and policy.
In particular, the course will cover the negotiation, implementation and current status of the United Nations Framework Convention on Climate Change, the Kyoto Protocol, the Copenhagen Accord, the Paris Agreement, the Glasgow Climate Pact and the Sharm el-Sheikh Implementation Plan. The focus will then turn to the past and proposed actions of the U.S. Congress, the executive branch and the courts, as well as regional, state and municipal efforts. The Clean Air Act and the National Environmental Policy Act will receive special attention, as will the authority of an administration to reverse prior policy. We will examine efforts in the U.S. and other countries to use the courts to force action on climate change.
We will evaluate the various legal tools that are available to address climate change, including cap-and-trade and carbon offsets; command-and-control regulation; litigation; and securities disclosures. Implications for international human rights, environmental and climate justice, international and intergenerational equity will be discussed.
- Department: Climate School
- M 1:10 p.m.-3:40 p.m.
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Instructor:
Sheila Foster
Info - 3 points
ILLNESS/DISABILITY NARRATIVES
- Department: Narrative Medicine
- W 10:10 a.m.-1 p.m.
- W 6:10 p.m.-9 p.m.
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Instructor:
Sayantani T Dasgupta
CULPA: 2 Info -
Instructor:
Mary E Sormanti
Info - 4 points
MARKETING STRATEGY
Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and team based projects. By the end of this course, you will be able to develop a marketing strategy based on market assessments and company needs.
- Department: Strategic Communication
- M 6:10 p.m.-8 p.m.
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Instructor:
Sandy Becker
Info - 3 points
CORPORATE SUSTAINABILITY REPORTING AND S
CORP SUST REPORTING & STR
The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.
- Department: Sustainability Management
- R 4:10 p.m.-6 p.m.
- M 6:10 p.m.-8 p.m.
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Instructor:
Celine S Ruben-Salama
Info -
Instructor:
Jessica M Thurston
Info - 3 points
Black Ecologies
African and African Diasporic peoples have been central to the creation and transformation of global ecologies and landscapes. As the birthplace of humankind, the African continent features the longest archaeological record in the world, with abundant, yet often underrepresented, material and historical evidence for remarkable Indigenous African innovations in the areas of technology, food production, and resource and land use. This course specifically examines Black ecologies preceding and then radically transformed by the Trans-Atlantic Slave Trade. Beginning in the late fifteenth century, the enslavement of millions of Africans and their forced translocation to the Americas and Caribbean precipitated ecological transformations on all sides of the Atlantic, as African peoples, knowledge, resources and ecological inheritances were appropriated by the European mercantile system. Enslaved Africans transformed American landscapes via extractive industries of plantations and mines and suffered the emergence of toxic landscapes and disease alongside Native American communities. Africans also recreated African ecologies as they created livelihoods and landscapes of resistance and freedom in the Americas. The legacies of the Atlantic Era maintain a persistent dynamic in which African and African Diasporic communities experience disproportionate burdens of environmental injustice today. The concept of Black ecologies reflects the marginality, systemic racism and dispossession experienced by Black peoples and their landscapes. Black ecologies also allow us to understand African and African Diasporic ecological innovations, resistance and resilience, and the pathways to future sustainability and justice they promise.
- Department: Climate School
- R 10:10 a.m.-12:40 p.m.
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Instructor:
Kristina Douglass
Info - 3 points
Remote Sensing for Landscape Analysis
Rem Sensing Landscape Ana
This class provides basic theory in landscape analysis and training in methods for analyzing landscapes, focusing on interpretation of satellite images. The class covers approaches and definitions in landscape analysis, data sources, land cover classification, change detection, accuracy assessment, projections of future land cover change, and techniques to interpret results of these analyses. Students will obtain hands-on experience working with data from a landscape related to his/her research or a landscape chosen by the instructors.
- Department: Biodiversity Data Analytics
- M 4:10 p.m.-6 p.m.
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Instructor:
Jay M Schoen
Info - 3 points
NUMERICAL METHODS IN FINANCE
Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Review of the basic numerical methods for partial differential equations, variational inequalities and free-boundary problems. Numerical methods for solving stochastic differential equations; random number generation, Monte Carlo techniques for evaluating path-integrals, numerical techniques for the valuation of American, path-dependent and barrier options.
- Department: Mathematics
- TR 6:10 p.m.-7:25 p.m.
- 3 points
Experiments
Field experiments have become increasingly important ways of studying the effectiveness of political interventions, be they campaign tactics for mobilizing or persuading voters, fundraising tactics for political or charitable efforts, lobbying, recruiting volunteers, or influencing administrative or judicial outcomes through direct communication. In this course, we will discuss the logic of experimentation, its strengths and weaknesses compared to other methodologies, and the ways in which experimentation has been -- and could be -- used to investigate political phenomena. We will discuss a wide array of applications. Students will learn how to interpret and design experiments. In order to better understand the nuances of experimental design and analysis, we will roll up our sleeves and reanalyze some of the data from the weekly readings.
- Department: Political Analytics
- T 6:10 p.m.-8 p.m.
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Instructor:
Donald P Green
CULPA: 2 h-index: 87 Info - 2 points
ENTREPRENEURSHIP: DEVELOP/IMPLEMENT NEW
This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.
- Department: Technology Management
- M 4:10 p.m.-6 p.m.
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Instructor:
Michael E Jr McGuire
Info - 3 points
Genetics
Prerequisites: BIOL UN2005 and BIOL UN2006 or the equivalent. General genetics course focused on basic principles of transmission genetics and the application of genetic approaches to the study of biological function. Principles will be illustrated using classical and contemporary examples from prokaryote and eukaryote organisms, and the experimental discoveries at their foundation will be featured. Applications will include genetic approaches to studying animal development and human diseases. All students must get permission from the instructor to be added from the waitlist.
- Department: Biological Sciences
- TR 10:10 a.m.-11:25 a.m.
- 3 points
Disaster Research Methods
The field of disaster research is relatively new in the United States, as a specific field of study, with the first disaster research center being founded in the early 1960s. The field itself is now highly multi-disciplinary, drawing from the social sciences, anthropology, political science, computer science, engineering, earth sciences, psychology, and medicine and public health. These academic fields have intersected with the practice community by informing holistic emergency planning for all members of a community. Furthermore, these research outputs have informed federal and state policy, the private sector, and community organizations to inform program design and implementation. Translating research into practice remains a constant challenge in this rapidly evolving field. The methodological approaches to disaster research are just as diverse and have become increasingly complex with the advent of big data, the ubiquity of spatial information, and novel cross-disciplinary research. As a new era of compound and cascading disasters has triggered a constant “response” mode within the field of emergency management, the need for practitioners and research with a fluency in research and evaluation methods is required to critically evaluate or generate high quality and ethically based research.
- Department: Climate School
- T 10:10 a.m.-12:40 p.m.
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Instructor:
Jonathan J Sury
Info - 3 points
DECISION MODELS & MANAGEMENT
DECISION MODELS & MGMT
This course provides an introduction to computer-based models for decision-making. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing. Applications will include advertising planning, revenue management, asset-liability management, environmental policy modeling, portfolio optimization, and corporate risk management, among others. The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces. Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked “experts only.” The rise of personal computers, friendly interfaces (such as spreadsheets), and large databases has made modeling far more accessible to managers. Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.
- Department: Sustainability Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Lucius J Riccio
CULPA: 4
Info
- 3 points
GHG EMISSIONS: MEASURING AND MINIMIZING
GHG EMISSIONS CARBON FOOT
Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future.
Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries, data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices.
This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.
- Department: Sustainability Management
- W 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- 3 points
Climate Risk Assessment
This graduate-level course surveys the many components that go into climate risk assessment, with an emphasis on climate impacts and vulnerability. We will survey the latest research on climate hazards, with an emphasis on the types of extreme weather events that have the largest societal impacts. We will then explore these impacts in detail, by sector and system. We will next investigate determinants of vulnerability, and how vulnerability magnifies climate impacts. We then query how climate solutions can be integrated into risk assessments in a recursive manner. Throughout the course, we will strike a balance between foundational (‘IPCC-type’) examples on the one hand, and emerging topics like compound extreme events and existential risk on the other. Throughout the course we will study and employ a number of risk assessment methodologies, based on case studies from within the private, public, and non-profit sectors.
- Department: Climate School
- T 10:10 a.m.-12:40 p.m.
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Instructor:
Radley M Horton
Info - 3 points
Extreme Weather Events and Climate Chang
Extreme Weather and Clima
This seminar class will give an overview of the current knowledge of extreme weather events and the impact of anthropogenic climate change on their characteristics. We will start the course by defining extreme weather events and the current state-of-the-art knowledge of how anthropogenic activities influence them, including trends, detection and attribution, as well as future projections. We will discuss the methods typically used for analyzing extreme events and what are the existing uncertainties. The existing warning systems and forecasts for extreme events will be briefly discussed, including their communication and impacts and possible mitigation measures.
- Department: Climate School
- R 1:10 p.m.-3:40 p.m.
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Instructor:
Suzana J de Camargo
Info - 3 points
Advanced Biodiversity Analysis I
Adv Biodiversity Analysis
This course focuses on understanding the concepts of science-based biodiversity metrics and demonstrates the application of advanced methods in deriving robust and data-backed metrics for populations and species. This course introduces students to the field of population ecology and the use of data in global, national, and regional policies responsible for the conservation of biodiversity. Students will learn how to use various statistical packages in program R to analyze biodiversity data for estimating metrics such as habitat occupancy, abundance and density trends through time while considering the effects of human actions. Species are the “currency” in most biodiversity-related policies and regulations. As such, students will also examine how species distributions can shift due to climate change and evaluate the use of species-level metrics, including extinction risk and genetic markers, for supporting sustainability and conservation goals. This course will provide students with a strong foundation of statistical models commonly used in biodiversity conservation and the use of such models for deriving metrics and indicators to support decision-making in terrestrial and marine environments.
- Department: Biodiversity Data Analytics
- W 6:10 p.m.-8 p.m.
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Instructor:
Viorel Popescu
Info - 3 points
SECURITY ANALYSIS
Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Hany S Guirguis
CULPA: 3 Info - 3 points
ESG ALIGNED CORPORATE GOVERNANCE
ESG ALIGNED CORP GOVERNAN
Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams. This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms. We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field. Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.
- Department: Sustainability Management
- W 6:10 p.m.-8 p.m.
- 3 points
Survey & Polling Methodology
Survey research has played a pivotal role in politics for the better part of the last century, with a wide range of campaign and public policy professionals conducting surveys to gain insight into the thoughts, feelings, and opinions of the electorate and citizenry as a whole. Since the early 2000s, the use of survey experiments has become exponentially more prevalent in the political realm as a way to assess attitudes, anticipate reactions, or measure causal relationships. Recent trends point to the growing importance of the internet and social media to conduct surveys and the linkage of survey data with the wealth of publicly available personal information as well as with information on individuals’ social and economic behavior. In this course, students will learn about the strengths and weaknesses of survey research as well as limitations associated with survey design and various analytical techniques, and they will acquire concrete knowledge of practical tools used in campaigns, advocacy, and election forecasting. Students will be introduced to a set of principles for conducting survey research and analyzing survey data that are the basis for standard practice in the field. Students will be familiarized with terminology and concepts associated with survey questionnaire design, sampling, data collection and aggregation, and survey data analysis to gain insights and to test hypotheses about the nature of human and social behavior and interaction. The course will present a framework that will enable students to evaluate the influence of different sources of error on the quality of data.
- Department: Political Analytics
- R 6:10 p.m.-8 p.m.
-
Instructor:
Anja Kilibarda
h-index: 3 Info - 4 points
Spatial Analysis of Food Security
Spatial Analysis Food Sec
Globally, over 2 billion people are suffering from moderate-to-severe food insecurity and the Sudan famine being the first famine declared in 2025 since 2020. One key aspect to understanding food insecurity is its spatial distribution and trends that contribute to how food secure a population is. This course will teach students how to collect and analyze spatial data related to food security, as well as touch on important topics in food insecurity. The course will focus on taking real-life food security questions and applying spatial analysis techniques to these questions. In the course, we will cover an introduction to spatial analysis, natural experiments in geography, applying remote sensing to food insecurity, climate shocks and food security, and seasonal forecasting and food security.
This class will have a lecture aspect, which will mainly focus on topics in food security and how they relate to data collection, and a lab section, which will be an opportunity for students to collect data directly, clean the data, and analyze the data using the R programming language with spatial research methods. Example topics in class will be climate variability and food insecurity, policies that can successfully address food insecurity, and understanding spatial aggregation in food security statistics and how that can influence interpretation. These topics will then be further explored in the lab section of the class: specifically focusing on downloading weather data for time series analysis, using a convergence of datasets to map hotspots, and investigating how survey data intersects with spatial datasets.
- Department: Climate School
- R 10:10 a.m.-12:40 p.m.
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Instructor:
Sarah L Blakeley
Info - 3 points
INDUSTRY INSIDER
This course gives students visibility into the rapidly changing communication industry and the wide range of careers available. Curated site visits take us inside world-class agencies and corporate/nonprofit organizations to see how they use strategic communication in the real world. Students gain firsthand exposure to leading practitioners while learning the dynamics of collaboration between internal and external stakeholders. Relevant coursework provides additional perspective.
- Department: Strategic Communication
- R 4:10 p.m.-6 p.m.
-
Instructor:
Juli Falkoff
Info -
Instructor:
Andrea Legnani
Info - 3 points
ILLNESS-THOUGHT-ACTIVISM
ILLNESS THOUGHT ACTIVISM
- Department: Narrative Medicine
- W 6:10 p.m.-8 p.m.
-
Instructor:
Richard Slusarczyk
Info - 1 points
INTERNSHIP IN SOCIAL RESEARCH
This course gives students two credits of academic credit for the work they perform in such an social science oriented internships.
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
GEO INFO SYSTEMS (GIS) FOR SUST SCIENCE
GEO INFO SYS FOR SUST SCIENCE
Many environmental and sustainability science issues have a spatial, location-based component. Increasingly available spatial data allow location-specific analysis and solutions to problems and understanding issues. As result, analyzing and identifying successful and sustainable solutions for these issues often requires the use of spatial analysis and tools. This course introduces common spatial data types and fundamental methods to organize, visualize and analyze those data using Geographic Information Systems (GIS). Through a combination of lectures and practical computer activities the students will learn and practice fundamental GIS and spatial analysis methods using typical sustainable science case studies and scenarios. A key objective of this course is to provide students with essential GIS skills that will aid them in their professional career and to offer an overview of current GIS applications. In the first part, the course will cover basic spatial data types and GIS concepts. The students will apply those techniques by analyzing potential impacts of storms on New York City as part of a guided case study. A mid-term report describing this case study and the results is required. In the second part, building on the basic concepts introduced in the first part, students will be asked to identify a sustainable science question of their choice that they would like to address as a final project. Together with the instructor they will be developing a strategy of analyzing and presenting related spatial data. While the students are working on their projects additional GIS method and spatial analysis concepts will be covered in class. At the end of the course Students will briefly present their final project and submit a paper describing their project. This course does not assume that students have had any previous experience with GIS.
- Department: Sustainability Science
- M 4:10 p.m.-6 p.m.
-
Instructor:
Frank Nitsche
CULPA: 1 h-index: 29 Info - 3 points
MATH FINANCE PRACTITIONERS SEMINAR II
MATH FINANCE PRACTITION S
This seminar offers participants the opportunity to listen to practitioners discuss a range of important topics in the financial industry. Topics may include portfolio optimization, exotic derivatives, high frequency analysis of data and numerical methods. While most talks require knowledge of mathematical methods in finance, some talks are accessible to a more general audience.
- Department: Mathematics
- R 7:40 p.m.-8:55 p.m.
-
Instructor:
Jaehyuk Choi
Info - 1.5 points
INTERNSHIP IN SOCIAL RESEARCH II
INTERNSHIP IN SOCIAL RSRC
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- R 4:10 p.m.-6 p.m.
- R 12:10 p.m.-2 p.m.
-
Instructor:
Nicole C Dicrecchio
Info -
Instructor:
Michael R Haupt
Info - 3 points
METHODS WORKSHOP
Introducing students to a series of methods, methodological discussions, and questions relevant to the focus of the Masters program: urban sociology and the public interest. Three methodological perspectives will frame discussions: analytical sociology, small-n methods, and actor-network theory.
- Department: Sociology
- R 10:10 a.m.-noon
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Instructor:
Yao Lu
h-index: 25 Info - 4 points
Computing and Research Methods for Clima
Nearly all subdisciplines in climate now rely on aspects of data science to understand problems and evaluate solutions. Climate science is generating “big data” including petabytes of observations from sources such as NASA and even more from climate models. With this big, complex data burden comes the need for advanced data science techniques such that scientists can better understand our climate system and explore possible solutions to the challenge of climate change.
This course is a broad introduction to research computing and data science drawing from examples in climate science. Students will learn how to work with, analyze, and visualize big datasets. The course will utilize the scientific python ecosystem, Unix/Linux, shell scripting, terminal commands, git/github, and other techniques.
- Department: Climate School
- M 1:10 p.m.-3:40 p.m.
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Instructor:
Daniel Westervelt
Info - 3 points
PRACTICUM IN DATA ANALYSIS II
This practicum will mimic the typical conditions that students would face in an internship in a
large data-intense institution. The practicum will focus on four core elements involved in most
internships:
• developing the intuition and skills to properly scope ambiguous project ideas;
• practicing organizing and accessing a variety of large-scale data sources and formats;
• conducting basic and advanced analysis of big data; and
• communicating and “productizing” results and findings from the earlier steps, in things
like dashboards, reports, interactive graphics, or apps.
The practicum will also give students time to reflect on their work, and how it would best
translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- R 4:10 p.m.-6 p.m.
- W 4:10 p.m.-6 p.m.
-
Instructor:
Nicole C Dicrecchio
Info -
Instructor:
Benjamin Kinsella
Info - 3 points
Sovereign Finance, Climate and Developme
Sovereign Finc, Climate,
The ability of many emerging market and developing economy (EMDE) countries to meet their climate financing objectives depends to a large extent on their cost of capital, which in turn is impacted by the actual and perceived risks of their sovereign debt. According to the Jubilee Report published in June 2025 by the Pontifical Academy of Social Sciences and the Columbia University Initiative for Policy Dialogue, 54 countries spend over ten percent of their revenues on interest payments, and 3.3 billion people live in countries that spend more on interest than healthcare. EMDE countries need workable tools to reduce financing costs and manage sovereign debt in order to fund their development needs and to achieve the climate objectives set out in their nationally determined contributions under the Paris Agreement.
This course will explore the roots of the problem, including the pro-cyclical nature of sovereign financing and refinancing; the role of international financial institutions and credit rating agencies; and the main obstacles to resolving sovereign debt distress in an orderly and timely way, contrasting resolution tools for sovereign debt with those available in the private sector. Drawing on real-world case studies, we will look at structural innovations that could help debottleneck climate finance, and how effective they can be. We will consider several prominent proposals to reorient the global financial architecture, focusing on whether and to what extent they can reduce EMDE funding costs and unlock financing for sustainable development and climate investment.
- Department: Climate School
- F 1:10 p.m.-3:40 p.m.
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Instructor:
Andrew A Bernstein
Info - 1.5 points
INTERNSHIP IN SOCIAL III
INTERNSHP III
Students enrolled in the Quantitative Methods in the Social Sciences M.A. program have a number of opportunities for internships with various organizations in New York City. Over the past three years, representatives from a number of different organizations – including ABC News, Pfizer, the Manhattan Psychiatric Center, Merrill Lynch, and the Robert Wood Johnson Foundation – have approached students and faculty in QMSS about the possibility of having QMSS students work as interns. Many of these internships require students to receive some sort of course credit for their work. All internships will be graded on a pass/fail basis.
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
Climate in Practice: Leadership and Coll
Climate in Practice-Leade
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
- Department: Climate School
- F 10:10 a.m.-11:25 a.m.
- 1.5 points
Climate in Practice: Leadership and Coll
Climate in Practice-Leade
This course is a core course for all Climate School students in the MA in Climate and Society and MS in Climate 1.5 credits in the fall and 1.5 credits in the spring. It is a practicum-style course focused on the application of classroom learnings in a range of professional and real-world situations.
At the beginning of the fall semesters, students will be grouped in teams and assigned a previous years’ Capstone project (a summer project that former CS students have produced in partnership with an external partner). Students will use this previous capstone project to practice skills including: stakeholder engagement strategies, communication and presentation skills, systems thinking, and project planning.
The fall will be focused on grounding in the topic and challenge of the capstone project, stakeholder discovery and mock engagement, and evaluating its application to the New York City context. The spring will be focused on evaluation of problem definition of the client, work planning and project planning, learning from the client and/or alumni about the outcomes and contemporary challenges/applications of the project, and producing a final project as a team. By the end, students will be prepared to fully engage with their own capstone projects in future semesters, will have honed critical skills to support successful professional applications of their Climate School courses, and will have a ‘mission and values statement’ to guide their future practice as professionals.
- Department: Climate School
- F 10:10 a.m.-11:25 a.m.
-
Instructor:
Sandra Goldmark
CULPA: 4
Info
-
Instructor:
Andrew J Kruczkiewicz
Info -
Instructor:
Radley M Horton
Info -
Instructor:
Marcia N Macedo
Info - 1.5 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- R 6:10 p.m.-8 p.m.
- T 4:10 p.m.-6 p.m.
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Instructor:
Charles R Riemann
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Instructor:
Gregory A Kossinets
Info - 3 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- R 6:10 p.m.-8 p.m.
- T 4:10 p.m.-6 p.m.
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Instructor:
Charles R Riemann
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Instructor:
Gregory A Kossinets
Info - 3 points
Water Governance
Water is widely recognized as the most essential natural resource for both society and Earth’s ecosystems. Yet the relationship between society and water is complex. While water is critical for livelihoods, it is also frequently a hazard. Floods, droughts, and contaminated water are formidable threats to human well-being. To deal with this dual nature of water, people have long modified the water cycle through engineering schemes like dams, reservoirs, irrigation systems, and interbasin transfer systems as well as through land use and land-cover change.
We need more than just technical solutions. Society needs a clear and robust plan to manage and govern water given its intertwined relationship with this critical resource. In Water Governance, we will explore the political, social, economic, and administrative systems that affect the use, development, and management of water resources. You will be introduced to current themes that influence water governance including sustainable development, integrated water resource management, water rights and pricing, corruption, and equity for marginal groups. These themes will be explored at the local, national, and international levels to provide you with a broad understanding of water governance issues.
- Department: Climate School
- R 1:10 p.m.-3:40 p.m.
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Instructor:
Michael J Puma
h-index: 23 Info - 3 points