TRADITIONAL ERM PRACTICES

This course provides an overview of the traditional ERM frameworks used to identify, assess, manage, and disclose key organizational risks. The traditional ERM frameworks are those that are more commonly in use and include COSO ERM, ISO 31000, and the Basel Accords. This course also provides an understanding of the methods, tools, techniques, and terminology most organizations use to manage their key risks, presented in the context of the foundational elements of an ERM process. This will enable students to navigate the ERM landscape within most organizations, and, along with the second-semester course Value-Based ERM, evaluate opportunities to enhance the existing ERM practices and evolve their ERM programs over time.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Michael Leibrock
  Info
• Instructor: Chris Magno
  Info
• 3 points

FUNDAMENTALS OF DIRECTING

Weekly lectures will introduce film grammar, textual analysis, staging, the camera as narrator, pre-visualization, shot progression, directorial style, working with actors and editing. Lectures by all members of the full time directing faculty anchor the class, highlighting a range of directorial approaches with additional lectures on the techniques and aesthetics of editing. Each lecture will be supported by visual material from master film directors as well as the examples of the short films students will be required to produce in their first two semesters. For the final 7 weeks of the term, a student fellow will be available to mentor students through the planning of their 3-5 films.

• Department: Film
• W 9:30 a.m.-12:30 p.m.
• Instructor: Bette Gordon
  Wikipedia Info
• 3 points

APPLIED BUSINESS INTEL FRAMEWORKS IN SPR

APPLIED BI IN SPORTS

This course will build on the topics and tactics covered in Business Intelligence in Sports to create a real-life learning lab where students can apply key concepts and expand their techniques against real data from a partner professional sports team. More advanced skills around SQL, Tableau, and R will be developed and applied to relevant scenarios using available data such as customer demographics, behaviors, tickets, attendance, social media, marketing, surveys, and sponsorships. Students will leave the class prepared to join a team’s business intelligence department and make immediate contributions.

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Jordan Rutner
  Info
• 3 points

INTEGRATIVE CAPSTONE WORKSHOP

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

AI/ML for Leaders

Generative AI represents a pivotal technological evolution with profound implications for the global economy and modern society. This course delves into the decades-long development of AI and machine learning, emphasizing its emergence as a critical economic and strategic force. As we explore this technology, we will assess its potential to revolutionize industries, enhance capabilities, and introduce complex challenges related to security, identity, and ethical considerations.

In this dynamic landscape, both incumbent businesses and governmental bodies face the urgent need to adapt to this disruption and the transformative changes it heralds. This course seeks to unpack the catalysts of this technological surge, its foundational principles, and the critical knowledge required for modern leadership in the AI era.

• Department: Technology Management
• M 6:10 p.m.-8 p.m.
• 3 points

AI/ML for Leaders

Generative AI represents a pivotal technological evolution with profound implications for the global economy and modern society. This course delves into the decades-long development of AI and machine learning, emphasizing its emergence as a critical economic and strategic force. As we explore this technology, we will assess its potential to revolutionize industries, enhance capabilities, and introduce complex challenges related to security, identity, and ethical considerations.

In this dynamic landscape, both incumbent businesses and governmental bodies face the urgent need to adapt to this disruption and the transformative changes it heralds. This course seeks to unpack the catalysts of this technological surge, its foundational principles, and the critical knowledge required for modern leadership in the AI era.

• Department: Technology Management
• M 6:10 p.m.-8 p.m.
• 3 points

CERAMICS I

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• M 10 a.m.-4 p.m.
• Instructor: Patrice R Washington
  Info
• Instructor: Candela M Bado
  Info
• 3 points

FINANCIAL PSYCHOLOGY

Financial Psychology focuses on the intersection of human psychology and wealth
management and the basic elements of consumer behavior. Students will explore
all of the biases, behaviors and perceptions that impact client decision-making and
financial well-being. Most importantly, this course is specifically designed to help
prepare the advisor to better understand all of the factors that impact client
decisions in an effort to help them achieve their own personal goals.

• Department: Wealth Management
• Instructor: Meghaan Lurtz
  Info
• 3 points

NONFICTION WORKSHOP

• Department: Writing
• F 10 a.m.-1 p.m.
• M 1:10 p.m.-4:10 p.m.
• Instructor: Cristen A Beam
  Info
• Instructor: Brenda Wineapple
  Wikipedia Info
• 6 points

PRIN/APPL OF SOCIETY & CULTURE

Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.

• Department: Anthropology
• T 2:10 p.m.-4 p.m.
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• 3 points

APPLIED CONFLICT RESOLUTION: FROM THEORY

This course explores the intersection of theory and practice in conflict resolution, giving students the opportunity to apply theories, models, and frameworks to real world scenarios. Students will analyze case studies, review current events, and bring to bear their own experiences in international, organizational, community and interpersonal conflicts in an interactive setting as they continue to develop and hone their critical thinking and conflict analysis skills. 

Drawing from the disciplines of social and clinical psychology, political and organizational sciences, and international relations, conflict resolution practitioners have at their disposal a wealth of research that can inform their analysis of a situation and how to assist parties to mitigate, de-escalate and prevent conflict.

Participants in this class engage with the course readings, instructors, and each other to critically analyze and deconstruct complex conflicts in a variety of contexts. A focus on the actors, issues, structures, strategies, and processes inherent in a conflict will be used to identify opportunities to change conflict dynamics. Applying conflict resolution constructs and frameworks such as interdependence, intergroup conflict, social identity, bias, peacebuilding, power dynamics, culture, and negotiation frameworks, are among the key learnings integrated into the course.

The competencies advanced in this class are intended to be applicable beyond the program into other areas of life. Students will be empowered to reflect critically on texts, select relevant data, understand the applicability of a theory, and offer results-based recommendations in contexts ranging from global to personal.

• Department: Negotiation & Conflict Resolution
• R 6:10 p.m.-8 p.m.
• Instructor: Christine D Straw
  Info
• 3 points

PROBABILITY

Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.

• Department: Statistics
• TR 6:10 p.m.-7:25 p.m.
• MW 1:10 p.m.-3:40 p.m.
• TR 1:10 p.m.-3:40 p.m.
• Instructor: Banu Baydil
  CULPA: 10 Info
• Instructor: Regina Dolgoarshinnykh
  CULPA: 2 Info
• Instructor: Alberto Gonzalez Sanz
  Info
• Instructor: Ruchira Ray
  Info
• 3 points

STATISTICAL INFERENCE

Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.

• Department: Statistics
• MW 1:10 p.m.-3:40 p.m.
• TR 1:10 p.m.-3:40 p.m.
• Instructor: Regina Dolgoarshinnykh
  CULPA: 2 Info
• Instructor: Victor H de la Pena
  h-index: 20 Info
• 3 points

APPLIED MACHINE LEARNING II

APPLIED MACHINE LEARNING II

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

COLLECTIVE ACTION: MOBILIZING FOR CHANGE

Collective Action: Mobilizing for Change
examines how communication operates as a strategic force in the formation, activation, and coordination of collective action. The course moves beyond individual-level persuasion to focus on how messages, narratives, identities, and infrastructures mobilize groups, networks, and publics. Core topics include theories of collective action and mobilization; strategic communication and audience segmentation; narrative, framing, and collective identity; digital platforms and algorithmic mediation; power, ethics, and accessibility in mobilization; and comparative case studies drawn from social movements, advocacy campaigns, organizational mobilization, and civic action. Throughout the course, students are encouraged to connect strategic communication practices to broader social, political, and technological contexts.

• Department: Strategic Communication
• W 6:10 p.m.-8 p.m.
• Instructor: Devo Probol
  Info
• 3 points

NARRATIVE ETHICS

• Department: Narrative Medicine
• M 6:10 p.m.-8 p.m.
• Instructor: Danielle R Spencer
  h-index: 5 Info
• 3 points

LINEAR REGRESSION MODELS

Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.

• Department: Statistics
• MW 6:10 p.m.-7:25 p.m.
• Instructor: Gabriel Young
  CULPA: 7 Info
• 3 points

GEOGRAPHIC INFORMATIONS SYSTEMS (GIS) FO

GIS FOR SUST MGMT

Maps have long been used to explore and communicate spatial information for practical tasks such as navigation and more analytic pursuits such as understanding relationships at the intersection of social and natural sciences. Today, most data—whether in spreadsheets, documents, apps, or sensor logs—is tied to a location, making it “mappable”. Learning to analyze this spatial data allows us to discover patterns and quantify relationships which support data driven decisions. 

This course introduces students to Geographic Information Systems (GIS) as a modern end-to-end toolset to collect, store, analyze, and visualize spatial data. Through lectures, readings, guided discussions, weekly hands-on exercises (both in class and at home), and an individual term project, students practice core spatial analysis techniques and spatial data visualization. Weekly lectures will cover GIS applications in fields relevant to sustainability management as well as GIS theory and skills. Weekly assigned readings will match lecture topics on both applications and GIS theory/skills. The required term project allows each student to connect and apply GIS methods to a question of personal or professional importance, producing a polished spatial analysis and map product which will be presented to the class using StoryMaps.

• Department: Sustainability Management
• R 4:10 p.m.-6 p.m.
• Instructor: Antoinette V Wannebo
  Info
• 3 points

STAT COMP & INTRO DATA SCIENCE

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 6:10 p.m.-7:25 p.m.
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Haiyuan Wang
  Info
• Instructor: Benjamin K Goodrich
  Info
• 3 points

PYTHON FOR DATA ANALYSIS

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

MICROECONOMICS ANALYSIS I

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

MACROECONOMICS ANALYSIS I

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

ADVANCED MICROECONOMICS

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

FOUNDATIONS OF SPORTS MANAGEMENT

FOUNDATIONS OF SPORTS MGMT

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

SOCIAL JUSTICE: NARRATIVES OF INEQUITY (

• Department: Narrative Medicine
• 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
  Info
• 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

CHANGE MANAGEMENT

Change is a necessary and constant part of any organization. The change may be expected, or it may be in reaction to unanticipated external and/or internal factors. In fact, organizations that do not change do not last.

Change initiatives can be exceedingly complex and disorienting, however. The success of a given changeinitiative often rests on the clarity of vision of an organization’s leaders; an accurate and sensitiveunderstanding of the organization’s culture; the involvement, input and buy-in of multiple internal andexternal stakeholders to the change objectives and process; leaders’ ability to leverage technology tocommunicate and drive change; and an organization’s analytical capabilities to document and measureprogress, and continue to iterate and improve.

In light of these requirements, this course seeks to ask: What is the role of the HCM leader in facilitatingchange within an organization? The aims of this course are not abstract. This course will help studentsdevelop skills to support actual organizations (their own and/or others) through change. Lectures, readings,videos, in-class and asynchronous discussions, and assignments will all focus on the practical application ofchange theory and empirical research to real-world organizational contexts.

This course is an advanced elective within the Master of Science in Human Capital Management program.Prerequisites include “HCMPS5100: Introduction to Human Capital Management,” and “HCMPS5150:Integrated Talent Management Strategies.” Some familiarity with people analytics and digital approaches toHuman Capital Management will also be helpful.

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• Instructor: Laura Dannels
  Info
• 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
  Info
• 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.
• 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
• T 2:40 p.m.-5:25 p.m.
• Instructor: Christopher Harshaw
  Info
• 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
  Info
• 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

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
  Info
• Instructor: R S Forston
  Info
• 3 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
• U 9 a.m.-1:30 p.m.
• Instructor: Nikolas Katsimpras
  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
  Info
• 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
  Info
• 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 (IPCC) reported that global efforts are unlikely to reduce carbon emissions in line with COP21 targets of 1.5o C above preindustrial levels.  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.

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.  For example, Sustainable 1/S&P Global’s ESG Scores are valuable because they expose patterns in data related to environmental, social and governance risks and opportunities.

This elective course will introduce students to the digital product management role in the context of sustainability.  Students will get a strong understanding of what it means to be a product manager and its role in the organization.  The course will demonstrate how to define a product vision; identify a product strategy; create product roadmaps; design a customer experience; enable data-driven decisions; understand the development process; manage for results; and, by “leading through influence,” coordinate cross-functional teams of business analysts, developers, data providers, marketing, users, customers, senior management and other stakeholders.  The course is about product strategy and how to innovate and launch new products and features.  Students will be prepared for product management roles in companies; though many of those skills are applicable to entrepreneurship, the course is not geared toward start-ups or new ventures.

• 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.
• 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.
• 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

Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.

• 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