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
• W 6:10 p.m.-8 p.m.
• Instructor: H.S. Bob Kostakopoulos
  Info
• Instructor: Marianna Belyavskiy
  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.
• Instructor: Kizzy M Charles-Guzman
  Info
• Instructor: Thomas Abdallah
  Info
• Instructor: Susanne E Desroches
  Info
• Instructor: Robert A Cook
  Info
• Instructor: Chandler I Precht
  Info
• Instructor: Dubois Akeen Akeen
  Info
• Instructor: Dong Guo
  Info
• Instructor: Shaun A Hoyte
  Info
• 3 points

INTEGRATIVE CAPSTONE WORKSHOP

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• 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.
• Instructor: Erich S Morisse
  Info
• Instructor: Paolo Gaudiano
  Info
• 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
• R 12:10 p.m.-2 p.m.
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• 3 points

Fundamentals of Directing Lab: Secrets o

Fund of Dir Lab: Short Fi

Each week, outstanding shorts from Sundance, Cannes, Tribeca, Aspen, and other international festivals will be screened and discussed. (You might see a few duds as well, for comparison purposes.) The emphasis in the first two weeks will be on shorts under six minutes, in preparation for the “3-to-5” project. The second two weeks will be devoted to films between 8 and 12 minutes long, in preparation for the “8-to-12”. The final weeks will include a variety of narratives the size of Columbia thesis films. Altogether, over forty films will be shown and discussed.

• Department: Film
• W 6 p.m.-9 p.m.
• Instructor: Daniel Kleinman
  Info
• 0 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 8:40 a.m.-11:25 a.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 8:40 a.m.-11:25 a.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

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

Foundations of Clinical Medicine Tutoria

FCM Tutorials I

• Department: Medicine
• 0 points

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
• MW 7:40 p.m.-8:55 p.m.
• TR 8:40 a.m.-9:55 a.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

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
  Info
• 3 points

ENV SUST INDICATORS: CONSTRUCTION & 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: Auditing
• W 6:10 p.m.-8 p.m.
• Instructor: Alexander M Desherbinin
  Info
• 0 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

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
  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.
• Instructor: Alberto Botter
  Info
• 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
  Info
• Instructor: Liz Benn
  Info
• Instructor: Sarbjit Singh
  Info
• 3 points

SOCIAL JUSTICE: NARRATIVES OF INEQUITY (

• Department: Narrative Medicine
• Instructor: Courtni K Jeffers
  Info
• 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

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
  Info
• Instructor: Mikael Sodersten
  Info
• Instructor: Jodie Markell
  Wikipedia Info
• Instructor: Lisa Milinazzo
  Info
• Instructor: John Rubin
  Info
• Instructor: Abigail Zealey Bess
  Info
• 3 points

CHANGE MANAGEMENT

• 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.
• Instructor: Casey Ivanovich
  Info
• 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
  Info
• 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
  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: Auditing
• W 6:10 p.m.-8 p.m.
• Instructor: Yolanda Gonzalez
  Info
• 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