PROGRAMMING FOR DATA SCIENCE

PROGRAMMING FOR DS

Course Overview: 
This course introduces Python programming, covering data structures, control-flow, objects, and functions, along with libraries like re, requests, numpy, pandas, scikit-learn, scipy, and more. These skills are applied to real-world data science tasks, including AB testing, data manipulation, modeling, optimization, simulations, and data visualization.

Students will develop computational thinking abilities, including problem decomposition, pattern recognition, data representation, abstraction, and algorithm design, through practical exercises.

• Department: Statistics
• TR 8:40 a.m.-9:55 a.m.
• Instructor: Benjamin K Goodrich
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• 3 points

PYTHON FOR DATA ANALYSIS

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Max Vilenchik
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• 3 points

COMMUNICATION AND GLOBAL BRANDS

COMMUNICATION & GLOBAL BRANDS

This course examines the discipline of global marketing communication, including the environmental factors that enabled global marketing. The course assesses early models of communication management and the current factors that enable global communication programs: the identification of global target audiences; the kinds of products and services that lend themselves to global communication and those that don’t; and the characteristics of leadership brands that are preeminent in global communication today. Students consider how levels of development and cultural values affect communication programs and how local differences can be reflected in global programs. Message creation and the available methods of message distribution are evaluated in the context of current and future trends. Students learn how to approach strategy and develop an integrated, holistic global communication program and how to manage such a program.

• Department: Strategic Communication
• R 8:10 a.m.-10 a.m.
• Instructor: Annemarie Norris
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• 3 points

DIRECTING I

Students explore the grammatical rules and narrative elements of cinematic storytelling by completing a minimum of three short, nondialogue exercises and two sound exercises, all shot and edited in video. Emphasizes using the camera as an articulate narrator to tell a coherent, grammatically correct, engaging, and cinematic story. Technical workshops on camera, lighting, sound, and editing accompany the workshops, as well as lectures that provide a methodology for the director.

• Department: Film
• R 2 p.m.-5 p.m.
• R 6 p.m.-9 p.m.
• W 2 p.m.-5 p.m.
• T 10 a.m.-1 p.m.
• R 2 p.m.-5 p.m.
• T 10 a.m.-1 p.m.
• Instructor: Hilary Brougher
  Wikipedia Info
• 3 points

ENV SUST INDICATORS: CONSTRUCTION & USE

CONSTRUCTION AND USE

This course will present students with the architecture, data, methods, and use cases of environmental indicators, from national-level indices to spatial indices. The course will draw on the instructor’s experience in developing environmental sustainability, vulnerability and risk indicators for the Yale/Columbia EPI as well as for a diverse range of clients including the Global Environmental Facility, UN Environment, and the US Agency for International Development. Guest lecturers will provide exposure to Lamont experience in monitoring the ecological and health impacts of environmental pollution and the use of environmental indicators in New York City government. Beyond lecture and discussion, classroom activities will include learning games, role play and case study methods.

 

The course will explore alternative framings of sustainability, vulnerability and performance, as well as design approaches and aggregation techniques for creating composite indicators (e.g., hierarchical approaches vs. data reduction methods such as principal components analysis). The course will examine data sources from both in-situ monitoring and satellite remote sensing, and issues with their evaluation and appropriateness for use cases and end users. In lab sessions, the students will use pre-packaged data and basic statistical packages to understand the factors that influence index and ranking results, and will construct their own simple comparative index for a thematic area and region or country of their choice. They will learn to critically assess existing indicators and indices, and to construct their own. In addition, students will assess the impacts of environmental performance in several developing and developed countries using available data (e.g., pollutant levels in soils and air in Beijing and NYC), and project future changes based on the trends they see in their assessments. The course will also examine theories that describe the role of scientific information in decision-making processes, and factors that influence the uptake of information in those processes. The course will present best practices for designing effective indicators that can drive policy decisions.

Advising Note:
Students are required to have had prior coursework in descriptive and inferential statistics.

• Department: Sustainability Science
• W 6:10 p.m.-8 p.m.
• Instructor: Alexander M Desherbinin
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• 3 points

ENV SUST INDICATORS: CONSTRUCTION & USE

• Department: Auditing
• W 6:10 p.m.-8 p.m.
• Instructor: Alexander M Desherbinin
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• 0 points

MICROECONOMICS ANALYSIS I

• Department: Economics
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Murat Yilmaz
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• 3 points

CONFLICT, SOCIAL NETWORKS AND COMMUNICAT

CONFL SOCIAL NETWKS/COMM

Conflict and communications technologies are inextricably connected  and this relationship  is increasingly mediated by social networks. Individuals and organizations face many challenges in using online technology for collaboration and conflict mediation purposes. Recent software innovations can facilitate knowledge acquisition, network building, and the analysis and presentation of conflict-related data. For professionals working in the field of conflict resolution, it is imperative to understand the role developments in communications technologies has  played in exacerbating and/or resolving conflicts.

This course will analyze the relationship between conflict and communications technologies. It will explore the challenges that individuals and networks face in using online technology for collaboration and conflict mediation purposes. It will demonstrate how recent software and social media innovations can facilitate knowledge acquisition, network building, and the analysis and presentation of conflict-related data. Finally, it will analyze contemporary cases where developments in communications technologies have played a critical role in exacerbating and/or resolving conflicts.

The course focuses on international peacebuilding and business and human rights cases. The former cases include Israel-Palestine, refugees, African peacebuilding, genocide prevention, and election violence monitoring. The latter cases include online harassment, cross-national email conflicts, sex trafficking, new business models such as Uber and AirBnB, and extractive resource conflicts.

The course will also instruct students in the use of social software (such as blogs, social media curation, and networking/visual mapping) and improve their “digital literacy” on a range of technologies. The course will provide practical (and often provocative) examples and challenge students to reflect on how these experiences and tools will be useful in their professional development and work environments.

• Department: Negotiation & Conflict Resolution
• W 6:10 p.m.-8 p.m.
• Instructor: Ted Perlmutter
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• 3 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• F 2:40 p.m.-3:55 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 2:40 p.m.-3:55 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 2:40 p.m.-3:55 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 2:40 p.m.-3:55 p.m.
• 0 points

MACROECONOMICS ANALYSIS I

• Department: Economics
• R 4:10 p.m.-6 p.m.
• Instructor: Julian Di Giovanni
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• 3 points

ADVANCED MICROECONOMICS

• Department: Economics
• T 4:10 p.m.-6 p.m.
• Instructor: Murat Yilmaz
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• 3 points

ADVANCED MACROECONOMICS

• Department: Economics
• M 4:10 p.m.-6 p.m.
• Instructor: Irasema Alonso
  CULPA: 12 Info
• 3 points

QUANT MTHDS IN INVESTMENT MGMT

Prerequisites: Knowledge of statistics basics and programming skills in any programming language. Surveys the field of quantitative investment strategies from a buy side perspective, through the eyes of portfolio managers, analysts and investors. Financial modeling there often involves avoiding complexity in favor of simplicity and practical compromise. All necessary material scattered in finance, computer science and statistics is combined into a project-based curriculum, which give students hands-on experience to solve real world problems in portfolio management. Students will work with market and historical data to develop and test trading and risk management strategies. Programming projects are required to complete this course.

• Department: Mathematics
• R 7:40 p.m.-10 p.m.
• Instructor: Alberto Botter
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• 3 points

FOUNDATIONS OF SPORTS MANAGEMENT

FOUNDATIONS OF SPORTS MGMT

This course is designed to introduce students to the terms, concepts and issues in sports management and their practical application in the sports business workplace. It is the required first class for every student in Columbia University’s graduate Sports Management Program. This course examines various business disciplines as they apply to the sports industry. The course provides the student with an overview of the business of the intercollegiate and professional sports enterprises. In addition, the course investigates the business-related issues encountered by managers of sport organizations and covers how business principles can be applied to effectively address these issues.

We will share practical experience and incorporate student experimentation to achieve our goal of fully preparing our students for advancement in the Sports Management Program.

• Department: Sports Management
• W 12:10 p.m.-2 p.m.
• W 4:10 p.m.-6 p.m.
• W 2:10 p.m.-4 p.m.
• Instructor: Scott Rosner
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• Instructor: Liz Benn
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• Instructor: Sarbjit Singh
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• 3 points

SOCIAL JUSTICE: NARRATIVES OF INEQUITY (

• Department: Narrative Medicine
• Instructor: Courtni K Jeffers
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• 3 points

TIME SERIES ANALYSIS

Prerequisites: STAT GR5205 Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.

• Department: Statistics
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Rongning Wu
  CULPA: 1 Info
• 3 points

Climate Technology and Innovation

This course is designed to furnish students with a conceptual framework for understanding climate tech innovation and an overview of practical ways to professionally engage in it. We focus on climate tech because the current global rate of decarbonization is not sufficient to limit warming to 1.5°C. To accelerate the rate of change and stabilize our planet’s climate, innovative technology development and diffusion is required. Beyond the moral imperative, rapid decarbonization represents an unprecedented economic opportunity. To realize the promise of a low-carbon economy, new practitioners must join the innovation ecosystem and drive it forward. This course will prepare students to do so.

The course starts by framing what climate tech means (i.e., all technologies focused on mitigating greenhouse gas emissions and addressing the impacts of climate change) and how climate tech innovation will occur (i.e., as a complex process including co-evolution of technology, regulations, infrastructure, and consumer behavior). It then provides an overview of the innovation value chain including various stakeholders and avenues for professional involvement. It concludes with a survey of sectoral innovation opportunities. Considerations of equity and just transition are covered throughout.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Luke C Apicella
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• 3 points

Sustainability in Sports: Theory and Pra

The global sports industry is substantial, encompassing various aspects such as sporting events, merchandise, broadcasting, and more. In 2024, the industry's revenue amounted to nearly $470 billion. By 2028, the global sports market is expected to surpass $680 billion. By 2027, the global sports market is expected to surpass $623 billion. However, the influence of sports extends far beyond the field. Fans are both dedicated and passionate supporters who contribute to the industry's success and have a massive following across continents. From local matches to international tournaments, fans engage through attendance, viewership, merchandise purchases, social media interactions, and so much more.

As the market continues to grow, the sports industry has made significant progress toward embracing sustainability practices. Brands are increasingly transparent about their sustainability efforts, businesses are looking to partner with sustainability-focused organizations that have reputable certifications and initiatives, real estate developers and investors are designing environmentally friendly facilities, and athletes and their fan bases are demanding climate action, just to name a few. Despite some progress, there's ample room for growth within emerging sustainability practices in sports. Continued innovation can lead to eco-friendly materials, sustainable event management, ensuring sustainability across supply chains, and greening stadiums, venues, and event infrastructure, which can further minimize resource consumption and pollution and contribute to a healthier planet.    

This course introduces the concept of sustainability and its relevance to the sports industry. It examines the environmental, social, and economic impacts of sports activities, events, and organizations and explores the strategies and practices that can enhance the sustainability performance of the sports sector. The course covers topics such as the definitions and dimensions of sustainability and how they relate to sports; the drivers and challenges of sustainability in sports (climate change, stakeholder expectations, governance, and innovation); frameworks and tools for assessing and reporting on sustainability in sports; best practices and case studies of sustainability in sports; and opportunities and benefits of sustainability in sports (fan engagement, athlete activism, business development, and social impact).

 

This course will be structured in the following main se

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• 3 points

Sustainability in Sports: Theory and Pra

The global sports industry is substantial, encompassing various aspects such as sporting events, merchandise, broadcasting, and more. In 2022, the industry's revenue amounted to nearly $487 billion. By 2027, the global sports market is expected to surpass $623 billion.
1
However, the influence of sports extends far beyond the field. Fans are both dedicated and passionate supporters who contribute to the industry's success and have a massive following across continents. From local matches to international tournaments, fans engage through attendance, viewership, merchandise purchases, social media interactions, and so much more.

As the market continues to grow, the sports industry has made significant progress toward embracing sustainability practices. Brands are increasingly transparent about their sustainability efforts, businesses are looking to partner with sustainability-focused organizations that have reputable certifications and initiatives, real estate developers and investors are designing environmentally friendly facilities, and athletes and their fan bases are demanding climate action, just to name a few. Despite some progress, there's ample room for growth within emerging sustainability practices in sports. Continued innovation can lead to eco-friendly materials, sustainable event management, ensuring sustainability across supply chains, and greening stadiums, venues, and event infrastructure, which can further minimize resource consumption and pollution and contribute to a healthier planet.   

This course introduces the concept of sustainability and its relevance to the sports industry. It examines the environmental, social, and economic impacts of sports activities, events, and organizations and explores the strategies and practices that can enhance the sustainability performance of the sports sector. The course covers topics such as the definitions and dimensions of sustainability and how they relate to sports; the drivers and challenges of sustainability in sports (climate change, stakeholder expectations, governance, and innovation); frameworks and tools for assessing and reporting on sustainability in sports; best practices and case studies of sustainability in sports; and opportunities and benefits of sustainability in sports (fan engagement, athlete activism, business development, and social impact).

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• 3 points

DIRECTING ACTORS I

A workshop in which the student explores the craft and vocabulary of the actor through exercises and scene study as actors and the incorporation of the actor's vocabulary in directed scenes. Exploration of script analysis, casting, and the rehearsal process.

• Department: Film
• M 2 p.m.-5 p.m.
• W 2 p.m.-5 p.m.
• T 2 p.m.-5 p.m.
• R 2 p.m.-5 p.m.
• T 6 p.m.-9 p.m.
• Instructor: Jennifer McCabe
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• Instructor: Mikael Sodersten
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• Instructor: Jodie Markell
  Wikipedia Info
• Instructor: Lisa Milinazzo
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• Instructor: John Rubin
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• Instructor: Abigail Zealey Bess
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• 3 points

CHANGE MANAGEMENT

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• Instructor: Laura Dannels
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• 3 points

ADVOCACY & ORGANIZING

Our interpersonal experiences and the personal identities we hold both shape and contribute to our individual concepts of health, as well as to our awareness of the beliefs and identities held by others.  This course examines how various marginalized groups have historically organized and advocated to bring about change in communities impacted by health disparities and social injustice.  How can understanding their stories and the strategies they've implemented to construct, share, and collect their narratives, inform health professionals and their allies in developing new and innovative approaches to hear, interpret, and respond to the needs of the communities they are charged with serving?  At a time when a renewed focus is being placed on health equity, social justice, race, bias, resource distribution, and access, it is imperative to look more closely at the experiences of communities and the individuals within them who have been placed at greater vulnerability.  With an attentiveness to intersectionality, critical race theory, and media studies, course materials will guide an exploration of narrative and its relationship to activism, advocacy, and messaging around community health.

• Department: Narrative Medicine
• R 3:10 p.m.-5 p.m.
• 3 points

ATHLETE ACTIVISM & SOCL JUSTICE IN SPRTS

• Department: Sports Management
• T 2:10 p.m.-4 p.m.
• Instructor: Leonard Elmore
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• 3 points

THE EARTH'S CLIMATE SYSTEM

This class provides a broad, quantitative introduction to the science underlying our understanding of the Earth’s climate system. Students will first learn the basic, fundamental concepts of energy transfer, the greenhouse effect, and general circulation in the climate system. We will then build on these ideas to explore more specialized topics, including climate variability now and in the past, the signs of climate change, climate models, extreme events, and projections of future climate. Lectures and slides will draw from the scientific literature, as well as the latest IPCC Assessment Report (AR6).  By the end, students will have a working knowledge of the climate system, giving them the knowledge and skills to evaluate statements and claims in the media and from their peers. Limited math (basic algebra) will be necessary for some of the assignments. All lectures will be recorded, and all slide decks will be uploaded to Courseworks after class.

• Department: Sustainability Management
• T 4:10 p.m.-6 p.m.
• Instructor: Casey Ivanovich
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• 3 points

Causal Inference

This course is an introduction to Causal Inference at the masters level. Students will be introduced to a broad range of causal inference methods including randomized
experiments, observational studies, instrumental variables, di?erence-in-di?erences, regression discontinuity design, and synthetic controls. In addition, the course will cover modern, controversial debates regarding the foundations and limitations of causal inference.

The primary learning goal of this course will be to familiarize students with a variety of the most popular causal inference methods: which causal e?ects they seek to estimate, basic assumptions required for identi?cation and estimation, and their practical implementation. To this end, the course will focus both on developing the pre-requisite statistical / methodological theory and as well as gaining hands-on experience through implementation exercises with real datasets. By the end of the course, students should have deep familiarity of various causal inference methods and—more importantly—be able to determine which method is most appropriate
for a given applied problem and to judge whether the pre-requisite identifying conditions are appropriate.

• Department: Statistics
• W 2:40 p.m.-5:25 p.m.
• Instructor: Christopher Harshaw
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• 3 points

BUSINESS INTELLIGENCE

• Department: Sports Management
• W 6:10 p.m.-8 p.m.
• Instructor: Benjamin Hannibal
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• 3 points

ADVANCED MACHINE LEARNING

Prerequisites: STAT GR5241 This course covers some advanced topics in machine learning and has an emphasis on applications to real world data. A major part of this course is a course project which consists of an in-class presentation and a written project report.

• Department: Statistics
• MW 6:10 p.m.-7:25 p.m.
• TR 6:10 p.m.-7:25 p.m.
• Instructor: Parijat Dube
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• Instructor: Kamiar Rahnama Rad
  Info
• 3 points

Unsupervised Learning

Description.
Unsupervised Learning is a masters level course on foundations, methods, practice, and applications in machine learning from data without associated labels or outcomes.  This course will focus on dimension reduction and clustering techniques while also covering graphical models, missing data imputation, anomaly detection, generative models, and others. The course will also emphasize conceptual understanding and practical applications of unsupervised learning in data visualization, exploratory data analysis, data pre-processing, and data-driven discovery.   

 

Prerequisites.

STAT GR 5206 Statistical Computing and Intro to Data Science

STAT GR 5241 Statistical Machine Learning (strongly recommended)

STAT GR 5205 Linear Regression (recommended)

STAT GR 5203 Probability (recommended)

Students should also be familiar with linear algebra.

• Department: Statistics
• TR 8:40 a.m.-9:55 a.m.
• Instructor: Yoonhaeng Hur
  Info
• 3 points

Smart Agriculture for a Changing Climate

Agriculture is highly dependent on stable climate conditions to produce the world’s food with sufficient nutritional quality at an affordable cost. Climate change is threatening the breadbaskets of the world with shifting rainfall, pests, and weather patterns. Farmers face enormous challenges in adapting to this volatility that is affecting their livelihoods and communities locally, and threatens the global food systems stability. Adaptation to these changes has become a high priority for policy makers, corporations, and investors around the world. Climate smart agriculture presents solutions to the existential threat to the global food supply by utilizing a range of tech enabled methods for producing more food with less resources. The challenge is daunting because there is no “one size fits all” solution. Instead, localized solutions that meet the social, environmental, and economic realities of farmers need to be developed, accelerated, and implemented.

• Department: Sustainability Management
• M 4:10 p.m.-6 p.m.
• Instructor: Henry A Gordon-Smith
  Info
• 3 points

Special Topics: Urban Agriculture in NYC

ST: Urban Agriculture in

Urban agriculture (UA) takes many forms: for-profit and non-profit urban farms, hydroponic and aquaponic production, indoor/vertical farming, and community gardens. It can broadly be defined as growing food in cities, but from a more critical lens it can also be considered a holistic policy strategy to improve a city’s livability through its layered benefits. On the surface, urban agriculture in its many forms serves to produce food, address food insecurity, educate communities, provide job opportunities, and secure green spaces for the health of current and future urban residents.  But at a closer glance, UA can also play a role in the larger food, economic and public health system of cities by strengthening the local foodshed, bridging the gap between the urban and rural divide, revitalizing upstate cities, acting as a third space for civic engagement, and serving as an educational hub and incubator for climate resilience and ecological farming.  This course explores the reframing of urban agriculture as a low-margin, low-output industry into a high value proposition using an expanded vision of sustainability accounting that factors the economic value of ecosystem services, such as urban heat island mitigation, carbon sequestration, pollinator habitat, and green infrastructure.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Yolanda Gonzalez
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• 3 points

Special Topics: Urban Agriculture in NYC

ST: Urban Agriculture in

• Department: Auditing
• W 6:10 p.m.-8 p.m.
• Instructor: Yolanda Gonzalez
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• 0 points

EXTERNAL STAKEHOLDER REQUIREMENTS

Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Rich Lauria
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• Instructor: R S Forston
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• 3 points

FUNDAMENTALS OF EDITING

• Department: Film
• M 6 p.m.-9 p.m.
• W 2 p.m.-5 p.m.
• R 2 p.m.-5 p.m.
• W 6 p.m.-9 p.m.
• Instructor: Katherine McQuerrey
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• Instructor: Elizabeth Kling
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• 1.5 points

FOUNDATIONS OF LABOR & EMPLOYMENT LAW

• Department: Human Capital Management
• W 6:10 p.m.-8 p.m.
• Instructor: Lee Miller
  Wikipedia Info
• 3 points

AI and Open Source Research for Conflict

The world in which conflicts unfold—and in which conflict professionals operate—has fundamentally changed. Traditional conflict research relies on academic literature, official reports, interviews, and retrospective accounts. While valuable, this model assumes the conflict has ended, key actors are known, and reliable documentation exists. Increasingly, these assumptions no longer hold.

What happens when the conflict you are studying is unfolding in real time?

There is no definitive report, no academic consensus, and the most influential actors may be informal, networked, or deliberately hidden. They do not give interviews or appear in official datasets. By the time traditional analysis is published, the conflict has already evolved, and the opportunity to influence outcomes has passed—often leaving behind accounts shaped by incomplete or manipulated information.

In this environment, conflict professionals must become masters of the information domain.

This course is built on a simple but uncomfortable reality: to meaningfully engage with contemporary conflict, you must be able to “write your own book” while events are unfolding. Based on the instructor’s professional experience, Open Source Intelligence (OSINT) and Artificial Intelligence (AI) are not optional—they are often the only viable tools.

OSINT leverages publicly available digital information to identify stakeholders when no formal list exists, map informal power structures, and track narratives, resources, and influence in real time. Generative AI amplifies this capability, enabling analysts to process vast amounts of data, test hypotheses, detect patterns, and build custom analytical tools without advanced programming skills.

This represents a structural shift. Only with this self-reliant foundation can practitioners effectively apply traditional theories and frameworks—otherwise their analysis risks being shaped by information that has been strategically manipulated. In modern conflicts, even well-intentioned research can unintentionally amplify the narratives of sophisticated actors engaged in information warfare.

The relevance of these skills extends beyond conflict analysis. Today’s job market increasingly values AI integration, OSINT proficiency, and strong writing and storytelling. Professionals who combine these capabilities are already operating at significantly higher levels of speed, productivity, and impact across fields such as d

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-11:15 a.m.
• Instructor: Nikolas Katsimpras
  Info
• 3 points

AI, Climate, Sustainability and Society

Course Overview

This course provides students with a critical, evidence-based framework for understanding the relationship between artificial intelligence and the interconnected challenges of climate change, environmental sustainability, and our society. It is designed for graduate students and professionals in sustainability and climate science who will encounter AI systems throughout their professional lives, and will be equipped both to harness AI's capabilities and to interrogate its costs, blind spots, and distributional consequences. The course assumes no prior technical background in machine learning or computer science, but does require intellectual curiosity, comfort engaging with quantitative evidence, and willingness to work through genuinely contested questions.

• Department: Sustainability Science
• M 6:10 p.m.-8 p.m.
• Instructor: Marco Tedesco
  Wikipedia h-index: 47 Info
• 3 points

DATA ANALYSIS AND VISUALIZATION IN SUSTA

DATA ANALYSIS & VIS SUST

Data science is an exciting new field of applied research that takes advantage of the ever-growing volume of data being collected to support of decision-making in both the public and private sectors. Similar to traditional statistical analysis, these new approaches have limits and issues that are important to understand before application to problem solving. This is a full semester course taught in person.  It aims to introduce the common methods used in data science, best practices in data management, and the basic scripting skills required to start analyzing data in R and Python. After introducing foundational scripting and data analysis methods, a case study approach will be used to highlight both what can be accomplished with data analysis and the limits of the data and methods used. Lab exercises will teach basic skills in scripting in Python and R and then move to a common approach for data analysis: adapting existing scripts and software libraries to solve applied data problems.

 

The requirement to understand the interaction of social and natural systems requires data-driven policy decisions, and the ongoing assessment of policies requires rigorous, reproducible assessments of effectiveness for promoting sustainability. Both requirements can be met in part by data science approaches that are applicable to the natural and social sciences and reproducible in academic and applied settings. Data science techniques have been developed to derive insight from large volumes of available data that are often collected for purposes other than the interests of the data scientist. This flexibility in approach means that the techniques used in data science are well adapted to support gaining insights from data relevant for sustainability science. This course has been designed to introduce these techniques in anticipation of increased use in promoting sustainability.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Tavis M Barr
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• 3 points

VALUE OF BRAND

This course introduces students to the economic importance of brand building activities based on the proven link between brand equity and business performance. Students examine the role that strategy and communication play in building brand equity, and explore how the changing media landscape is causing companies to rethink traditional brand-building practices. Students will use critical thinking, case-analysis, market research, and strategic presentations to persuade a business decision maker to invest in brand building efforts. For students who are interested in building stronger brand cultures within their organizations (for both the profit and nonprofit sectors) and/or for pursuing careers on the brand side of strategy, this course answers the question: Why should businesses and institutions care about branding?

• Department: Strategic Communication
• W 4:10 p.m.-6 p.m.
• Instructor: Christine Wu
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• 3 points

ORGANIZATIONAL STRATEGY AND LEARNING

ORG STRAT AND LEARNING

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• Instructor: Sara Daly-Padron
  Info
• 3 points

Digital Product Development for Sustaina

In April 2022, the Intergovernmental Panel on Climate Change reported that warming of the planet is likely to exceed COP targets.  This finding underscores the urgency around decarbonizing the economy and sustainably managing natural resources.  A so-called “big, hairy, audacious goal,” it requires that similarly ambitious solutions be implemented across countries and industries.  This course will introduce students to digital product management skills and the critical role they play in building digital decision support tools related to healing our planet. 

It is only by measuring resources that stakeholders can manage them and ensure that they are available in sufficient quantities for future generations. Web tools provide up-to-date analyses of aggregated data; distill complex issues into accessible visualizations; enable users to drill down to answer questions; offer insights into complicated and interdependent issues; and display changes in performance over time. 

Efforts are underway -- locally, regionally, nationally and internationally -- to address climate and ESG issues and many more need to appear on drawing boards.  Opportunities include: 

·2,400 megawatts of offshore wind, enough to provide electricity to 1 million homes, are slated to be installed off the coast of New York State by 2030;

·Globally, companies need to evaluate opportunities to deploy renewable energy and energy efficiency measures in their facilities in order to reduce carbon emissions and costs; 

·Coastal cities are studying their exposure to sea-level rise so they can harden electricity infrastructure and avoid blackouts caused by more frequent storms; and 

·Indigenous populations and local governments in the Amazon wish to protect the jungles that act as global carbon sinks and generate revenue opportunities from carbon credits.

This elective course is about product strategy and how to design, build and launch new digital products and features in the AI era.  It will introduce students to the digital product management role and product lifecycle and provide an opportunity to design a digital app and define the business case for it.  Units will address how to define a product vision; identify a product strategy; define a valuable customer experience; enable data-driven decisions; collaborate with developers and responsibly use AI; create product roadmaps; manage for successful f

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Teri Mendelsohn
  Info
• 3 points

STATISTICAL METHODS IN FINANCE

Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.

• Department: Statistics
• F 10:10 a.m.-12:40 p.m.
• Instructor: Hammou El Barmi
  CULPA: 8 Info
• 3 points

STAT INF/TIME-SERIES MODELLING

Available to SSP, SMP Modeling and inference for random processes, from natural sciences to finance and economics. ARMA, ARCH, GARCH and nonlinear models, parameter estimation, prediction and filtering.

• Department: Statistics
• S 10:10 a.m.-12:40 p.m.
• Instructor: Franz Rembart
  Info
• 3 points

STOCHASTC PROCSSES-APPLICTNS I

Prerequisites: STAT GR5203 or the equivalent. Basics of continuous-time stochastic processes. Wiener processes. Stochastic integrals. Ito's formula, stochastic calculus. Stochastic exponentials and Girsanov's theorem. Gaussian processes. Stochastic differential equations. Additional topics as time permits.

• Department: Statistics
• MW 1:10 p.m.-2:25 p.m.
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Steven Campbell
  Info
• 3 points

STOCHASTIC METHODS IN FINANCE

Prerequisites: STAT GR5264 Available to SSP, SMP. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates.

• Department: Statistics
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Graeme Baker
  Info
• 3 points

TRANSFORMING TOTAL REWARDS

• Department: Human Capital Management
• M 6:10 p.m.-8 p.m.
• W 8:30 p.m.-10 p.m.
• Instructor: Solange Charas
  h-index: 4 Info
• Instructor: Edna B Chun
  Info
• 3 points

PRACTITIONER'S GUIDE TO GLOBAL INNOV

PRACT GUIDE TO GLOBAL INN

This course is for leaders who want to challenge and transform existing ways of working for a greater positive impact on society. You will build the technical skills needed to bring Human-Centered Design (HCD) and innovation to projects and programs through a combination of lectures and assignments. At a higher level, you will also better understand what is needed to launch and manage innovation strategies and projects at NGOs and INGOs. This course builds a foundational understanding of innovation strategies, tools, and ecosystem in the social impact sector. Together, we will also heavily critique the status quo – including power dynamics, innovation methods and consider the importance of ethics, diversity, equity, inclusion, and accessibility (DEIA) – all with the motivation to build an improved practice of innovation. The course will bring together perspectives and guest speakers from across the globe who are diverse ecosystem actors, including innovators and implementers, funders, consultants, and
conveners.

This course has three phases. Phase 1 will provide a foundational understanding of innovation strategy, methodology, and tools, including human-centered design, user personas, journey mapping, etc. In Phase 2, you will be able to better contextualize innovation in the social impact sector, particularly from the perspective of NGOs, INGOs, and U.N. agencies. We will also dive into how DEIA, power, and creative capacities intersect with designing for social impact and learn practical skills for structuring an innovation project. Finally, in Phase 3, the instructor will share perspectives and lessons from practicing innovation for over a decade and help you identify areas of opportunity and entry points for your careers.

As future leaders and innovators in the social impact sector, you will be encouraged to think beyond how thingscurrently operate and expected to explore where and how the innovation sector itself needs to evolve. You will
complete this course with more clarity on your journey in innovation with coaching from the instructor and engaging
conversations with guest speakers.

• Department: Non Profit Management
• M 6:30 p.m.-8 p.m.
• Instructor: Chandani Punia
  Info
• 3 points

Navigating conflict: Diverging stakehold

This course will explore ways in which the shifting relationship between the human economy and our physical environment drive divergent, often conflicting, responses from different segments of society, including distinct economic classes, communities, nations, industries, etc. For the sustainability professional, such conflicts are important in the development of equitable solutions. They are also critical pragmatic issues in implementation of any new policies. The relative strength of different stakeholders, and the tactics they deploy to pursue their goals can determine what actually happens “on the ground”. We will take a case study approach, looking at how specific socio-economic impacts of environmental change generate calls for social change, shift alignments, deepen stakeholder entrenchment, and influence sustainability policy. Our cases include impacts of global warming, land-use changes, and expanded material throughputs as a result of growing demand in agriculture, fishing, forestry, mining and manufacturing.

• Department: Sustainability Science
• R 4:10 p.m.-6 p.m.
• W 4:10 p.m.-6 p.m.
• Instructor: Robert Newton
  h-index: 9 Info
• 3 points

GLOBAL COMMUNICATION FOR PROFESSIONALS

GLOBAL COMM FOR PROFESSIONALS

The global knowledge economy, cross-border market permeability, and worldwide talent mobility have accelerated the rise of multinational and domestic organizations comprised of individuals from many different cultural and linguistic backgrounds. As these trends strengthen, so, too, does the likelihood that the 21st-century worker will spend a significant part of her/his professional career in a multicultural workplace. While such diversity affords great benefits to organizations, their employees and clients, it is often accompanied by a rise in communication misfires and misunderstandings that can undermine individual, team, and organizational performance.

• Department: Strategic Communication
• M 8:10 p.m.-10 p.m.
• Instructor: Ciara Ungar
  Info
• 3 points

CAPITAL MARKETS & INVESTMENTS

Risk/return tradeoff, diversification and their role in the modern portfolio theory, their consequences for asset allocation, portfilio optimization. Capitol Asset Pricing Model, Modern Portfolio Theory, Factor Models, Equities Valuation, definition and treatment of futures, options and fixed income securities will be covered.

• Department: Mathematics
• S 7 p.m.-9:20 p.m.
• Instructor: Alexei Chekhlov
  CULPA: 3 h-index: 10 Info
• 3 points

THE NONPROFIT SECTOR: SCOPE & IMPACT

NONPROFIT SECTOR: SCOPE&I

This course introduces students to the roles the nonprofit sector plays in providing for social needs, such as healthcare, education, and basic needs.  Throughout this course, we will also grapple with the ethical questions inherent in these pursuits, including the challenge of tainted money, participatory grantmaking, social impact, and the politicization of nonprofit organizations. The course will also explore distinctions, similarities and relationships among the nonprofit, government, and for-profit sectors. The course examines the parameters of the United States’ nonprofit sector and philanthropic practice, with some opportunity for global comparison.  

The course will require students to utilize and reflect critical and analytical thinking; students will write individual papers, actively participate in discussion both in class and through postings on Canvas and present material to classroom colleagues.  This full-semester course is required the first semester of study.

• Department: Non Profit Management
• M 4:10 p.m.-6 p.m.
• W 6:10 p.m.-8 p.m.
• W 6:30 p.m.-8 p.m.
• Instructor: Erwin Vincent S de Leon
  Info
• Instructor: Shaba Keys
  Info
• Instructor: Jill Lalonde
  Info
• 3 points

COMMUNICATION RESEARCH & INSIGHTS

COMM RESEARCH & INSIGHTS

To make informed decisions about communication, we need a clear understanding of our audience and its motivations. We begin by asking the right questions and interpreting the results. This course covers essential market research methods, including quantitative and qualitative techniques. Students gain direct experience in collecting and analyzing data, developing insights and choosing research-driven communication strategies that meet client objectives.

• Department: Strategic Communication
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Laura Milewczik
  Info
• 3 points

NARRATIVES-DEATH,LIVING,CARING

We would like to shift this course from Online Only to fully In Person

• Department: Narrative Medicine
• W 2:10 p.m.-4 p.m.
• Instructor: Cherie M Henderson
  Info
• 3 points

ADVANCED DATA ANALYSIS

Course Description

STAT GR5291 Advanced Data Analysis serves as one of the required capstone experiences for MA students in statistics. This course is project-based and covers advanced topics in traditional data analysis. Students are presented with a mix of theory and application in homework assignments.  The final project  is a major contribution to the final grade and is arguably considered the capstone project for the MA in Statistics Program.

Students will learn a myriad of topics related to data analysis and hypothesis testing, and are responsible for application through statistical packages or manual programming. Topics include, exploratory data analysis & descriptive statistics, review of sampling distribution, point estimation, review of hypothesis testing & confidence interval procedures, non-parametric tests, computational methods (Monte Carlo, bootstrap, permutation tests), categorical data analysis, linear regression, diagnostics & residual analysis, robust regression, model selection, non-linear regression & smoothers, aspects of experimental design (ANOVA, two-way ANOVA, blocking, multiple comparisons, ANCOVA, semi-parametric procedures, random effects models, mixed effects models, nested models, repeated measures), and general linear models (logistic regression, penalized logistic, multinomial regression, link functions).

Also, time permitting the class covers:
survival analysis (hazard function, survival curve), time series analysis (stationarity, ACF/PACF, MA, AR, ARMA, ARIMA, order selection, forecasting).

• Department: Statistics
• F 5:10 p.m.-7:40 p.m.
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 3 points

TOPICS IN MODERN STATISTICS

Stat Aspects of Finance

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• R 10:10 a.m.-12:40 p.m.
• Instructor: Jeremy Shen
  Info
• 3 points

TOPICS IN MODERN STATISTICS

ML Engineering for Stats

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• MW 6:10 p.m.-7:25 p.m.
• Instructor: Iordan I Slavov
  Info
• 3 points

TOPICS IN MODERN STATISTICS

STAT ANALYSIS-NEURAL DATA

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• F 10:10 a.m.-12:40 p.m.
• Instructor: Liam M Paninski
  CULPA: 4 Info
• 3 points

TOPICS IN MODERN STATISTICS

APP MACH LEARN COMP VIS

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Xiaofu He
  h-index: 21 Info
• 3 points

TOPICS IN MODERN STATISTICS

Decode AI w/Info Theory

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• M 4:10 p.m.-6:40 p.m.
• Instructor: Ori Shental
  Info
• 3 points

TOPICS IN MODERN STATISTICS

DESIGN&ANALY/ONLINE EXPRM

Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.

• Department: Statistics
• W 6:10 p.m.-8:40 p.m.
• Instructor: Lei Kang
  Info
• 3 points

RESEARCH DESIGN

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: David Shilane
  Info
• 3 points

STRATEGIC COMMUNICATIONS FOR RISK PROFES

STRATEGIC COMM FOR RISK P

Communication skills are critical to the career trajectory of a risk professional. This workshop-style course develops the practical skills needed to communicate effectively with a diverse set of internal associates ranging from board members and executive officers to subject matter experts, as well as external stakeholders such as rating agencies and regulators. In this course, students learn techniques for effective listening and reading body language; creating and delivering professional presentations; leadership communication and persuasion; negotiation and conflict resolution; professional interactions and presence; and adapting to different communication styles. Through exercises, presentations, and case-based applications, students develop the ability to influence outcomes, achieve objectives, and build stronger professional relationships.

(Students must take this course in the first semester.)

• Department: Enterprise Risk Management
• T 2:10 p.m.-4 p.m.
• T 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Sim Segal
  Info
• Instructor: Rod Aday
  Info
• Instructor: Neil Barman
  Info
• 3 points