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 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Sandra del Guercio
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• Instructor: Fenton Aylmer
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• Instructor: Rajat Baijal
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• Instructor: Marianna Belyavskiy
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• Instructor: Peter Bruzzese
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• Instructor: James S Kim
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• 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

FINANCE FOR EFFECTIVE HCM

• Department: Human Capital Management
• M 6:10 p.m.-8 p.m.
• Instructor: Angela Finlay
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• 3 points

INTEGRATIVE CAPSTONE WORKSHOP

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Kizzy M Charles-Guzman
  Info
• 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
• T 6 p.m.-7:30 p.m.
• Instructor: Lauren R Goodwin
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• 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
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• Instructor: Ray W Barsante
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• 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.
• T 1:10 p.m.-4:10 p.m.
• Instructor: Cristen A Beam
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• Instructor: Lis Harris
  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 12:10 p.m.-2 p.m.
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• 3 points

Graduate Seminar in Printmaking and Rela

Grad Seminar in Printmaki

The Graduate Seminar in Printmaking and Related Media is designed to create a space that is inclusive yet focused on printmaking. Class time is structured to support, adapt and reflect students' needs and goals as individual artists and as a community. The course will examine printmaking as a medium in an expanded field, investigating its constitutive materials, exhibition and installation practices, and its ethics in the 21st century. The seminar will focus on the specific relations between tools, ideas and meanings that arise when artists engage with print media in various incarnations and concepts including editioned prints, multiples, artist-books, other types of printed matter, alternate means of distribution, and strategies of duplication and repetition. The ultimate objective is to provide students with in-depth knowledge of the materials, tools, histories and theories that underlie specific printmaking practices. The seminar combines discussion of students' artwork and research with readings on ethics, performance, cinema, poetics, data, museum practices, politics, and public space as they relate to printmaking.

While the Columbia Visual Arts Program is dedicated to maintaining an interdisciplinary learning environment where students are free to use and explore different mediums while also learning to look at and critically discuss artwork in any medium, we are equally committed to providing in-depth knowledge concerning the theories, histories, practices, tools and materials underlying these different disciplines. Each semester we offer one Graduate Seminar in a different discipline, or combination of disciplines, including moving image, new genres, painting, photography, printmaking, and sculpture. These Discipline Seminars are taught by full-time and adjunct faculty, eminent critics, historians, curators, theorists, writers, and artists. Each seminar focuses on specific relations between tools, ideas and meanings that arise when artists engage with a particular medium. The seminars combine discussions of readings and artworks with presentations of students' individual work and research.

• Department: Visual Arts
• F 10 a.m.-1 p.m.
• Instructor: Craig Zammiello
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• 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.
• MW 8:40 a.m.-11:25 a.m.
• TR 6:10 p.m.-8:40 p.m.
• Instructor: Cristian G Pasarica
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• Instructor: Jingchen Liu
  CULPA: 2 h-index: 19 Info
• Instructor: Regina Dolgoarshinnykh
  CULPA: 2 Info
• Instructor: Michael Sobel
  CULPA: 5 Wikipedia h-index: 35 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 6:10 p.m.-7:25 p.m.
• MW 1:10 p.m.-3:40 p.m.
• MW 8:40 a.m.-11:25 a.m.
• TR 6:10 p.m.-8:40 p.m.
• 3 points

APPLIED ANALYTICS FRAMEWORKS & METHDS II

APP AN FRAMEWORKS & METHODS II

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

ADVANCED NEGOTIATION

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-5 p.m.
• Instructor: Yelena Naginsky
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• 3 points

NARRATIVE ETHICS

• Department: Narrative Medicine
• T 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
• TR 8:40 a.m.-9:55 a.m.
• MW 6:10 p.m.-7:25 p.m.
• Instructor: Yisha Yao
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• Instructor: Gabriel Young
  CULPA: 7 Info
• 3 points

GEOGRAPHIC INFORMATIONS SYSTEMS (GIS) FO

GIS FOR SUST MGMT

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

STAT COMP & INTRO DATA SCIENCE

STAT COMP & INTRO TO DATA SCI

Corequisites: STAT GR5204 and GR5205 or the equivalent. Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.

• Department: Statistics
• F 10:10 a.m.-12:40 p.m.
• 3 points

STAT COMP & INTRO DATA SCIENCE

Corequisites: STAT GR5204 and GR5205 or the equivalent. Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.

• Department: Statistics
• F 6:10 p.m.-8:40 p.m.
• Instructor: Haiyuan Wang
  Info
• 3 points

ELEMENTARY STOCHASTIC PROCESSE

Corequisites: GR5203 or the equivalent. Review of elements of probability theory. Poisson processes. Renewal theory. Walds equation. Introduction to discrete and continuous time Markov chains. Applications to queueing theory, inventory models, branching processes.

• Department: Statistics
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Richard Davis
  CULPA: 3 h-index: 60 Info
• 3 points

PYTHON FOR DATA ANALYSIS

PYTHON FOR DATA ANALYSIS ONLNE

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

COMMUNICATION AND GLOBAL BRANDS

COMMUNICATION & GLOBAL BRANDS

• Department: Strategic Communication
• T 8:10 p.m.-10 p.m.
• Instructor: Cheryl Fenelle-Dixon
  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
• T 4:10 p.m.-6 p.m.
• Instructor: Alexander M Desherbinin
  Info
• 3 points

MICROECONOMICS ANALYSIS I

• Department: Economics
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Bernard Salanie
  CULPA: 18 Wikipedia h-index: 40 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
• Instructor: Ted Perlmutter
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• 3 points

MACROECONOMICS ANALYSIS I

• Department: Economics
• R 6:10 p.m.-8 p.m.
• Instructor: Julian Di Giovanni
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• 3 points

ADVANCED MICROECONOMICS

• Department: Economics
• W 12:10 p.m.-2 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

• Department: Sports Management
• W 12:10 p.m.-2 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Scott Rosner
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• Instructor: Christopher Lencheski
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• 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: Jason Prince
  Info
• 3 points

BAYESIAN STATISTICS

This course introduces the Bayesian paradigm for statistical inference.  Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models, Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software.

 

Prerequisites: A course in the theory of statistical inference, such as STAT GU4204/GR5204 a  course in statistical modeling and data analysis such as STAT GU4205/GR5205.

• Department: Statistics
• MW 6:10 p.m.-7:25 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. 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 sections: Direct Impact & Current Activities, Evaluating Opportunities fo

• 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
• W 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

• Department: Sustainability Management
• T 4:10 p.m.-6 p.m.
• Instructor: Benjamin I Cook
  CULPA: 3 h-index: 56 Info
• 3 points

NARRATIVE THERAPY

Whether alone with ourselves, or in close relationships with important people in our lives, dominant narratives shape our encounters by bringing certain aspects of our experience to the fore and marginalizing others. Narrative Therapy is a school of thought developed by Michael White, the Australian psychotherapist and social activist. Influenced by Social Constructionism and the writings of Michel Foucault (among others), White sought to understand the ways in which systems of power and control on the societal level shape our most intimate experiences. There is a price we pay for the hegemony of dominant narratives (as Foucault would say) as other aspects of our experience become marginalized and pushed out of awareness in this process. But by analyzing the dynamics by which certain narratives come to hold sway over us, and by considering what goes missing from our experience, Narrative Therapy seeks to undo this price by re-evaluating the stories we live by so that they can be more expansive and less limiting.

In this course we will look at the basic concepts and theoretical underpinnings of Narrative Therapy, and then begin to understand the essential techniques and areas of application of this important therapeutic school. This course does not train students to practice therapy. Our emphasis instead will be on developing ideas for ways in which the concepts and techniques introduced by Narrative Therapy can inform the practice of Narrative Medicine.

Questions we will address include:
● What can we learn from Narrative Therapy about the ways people structure stories about themselves, and how does this affect their relationship with their bodies, with illness and their conceptions of healing?
● What are the mechanisms by which dominant narratives from the social sphere are integrated into an individual’s self concept, and how does this then influence power relations in the clinical encounter?
● Theorists within Narrative Therapy strive to foster a non-hierarchical, non-expert stance in the clinical encounter. What are the possibilities and the challenges inherent in maintaining this?

• Department: Narrative Medicine
• M 12:10 p.m.-2 p.m.
• Instructor: Michael E Davidovits
  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
• W 10:10 a.m.-12:40 p.m.
• R 4:10 p.m.-6 p.m.
• Instructor: Kamiar Rahnama Rad
  Info
• Instructor: Parijat Dube
  Info
• 3 points

APPLIED DATA SCIENCE

Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.

• Department: Statistics
• T 4:10 p.m.-6:40 p.m.
• Instructor: Bianca Dumitrascu
  Info
• 3 points

THE BUSINESS OF NONPROFITS

This Business of Nonprofits course is designed to prepare students to identify, understand, consider, and manage common business and related legal issues arising in the operation of a nonprofit organization. Operational legal issues are pervasive in every aspect of nonprofit management and governance, including: (1) decisions on organizational structures, (2) the design of collaborative relationships, (3) entering into contracts, (4) human resource issues, (5) the creation and use of intellectual property, and (6) the assessment and management of risks. Because of the increasingly complex legal environment nonprofits face, managers knowledgeable about the topics covered in this course will be better equipped to contribute to the structuring of external business arrangements and relationships, as well as to manage internal operational matters. This elective course is intended to provide a solid foundation of practical business and business law basics to managers, board members, and consultants working for nonprofit organizations.

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

Python for Deep Learning

This course is an optional companion lab course for GR5242 Advanced Machine Learning.  The aim of this course is to help students acquire the basic computational skills in a python-based Deep Learning library (such as Troch, TensorFlow) to implement deep learning models.  lab class materials will be aligned closely with the topics covered in GR5242.  Google Colab will be used as the main tools for the hands-on lab exercises.

• Department: Statistics
• R 5:35 p.m.-6:35 p.m.
• R 6:45 p.m.-7:45 p.m.
• Instructor: Ka-Yi Ng
  Info
• 1 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 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Melody Feinberg
  Info
• Instructor: R S Forston
  Info
• 3 points

FUNDAMENTALS OF EDITING

This online class explores the creative and narrative principals of editing through the editing of students' 8-12 minute films and / or other footage. Instructors are professional editors who will provide lecture and individual based instruction.

• Department: Film
• T 6 p.m.-9 p.m.
• T 10 a.m.-1 p.m.
• M 2 p.m.-5 p.m.
• 1.5 points

DATA ANALYSIS AND VISUALIZATION IN SUSTA

DATA ANALYSIS & VIS IN SU

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

ORGANIZATIONAL STRATEGY AND LEARNING

ORG STRAT AND LEARNING

• Department: Human Capital Management
• T 6:10 p.m.-8 p.m.
• M 8:30 p.m.-10 p.m.
• Instructor: Marianne Bellino
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• Instructor: Sara Daly-Padron
  Info
• 3 points

CORPORATE, PRIVATE, COMMUNTY FOUNDATIONS

• Department: Non Profit Management
• R 6:30 p.m.-8 p.m.
• Instructor: John Tyler
  h-index: 3 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
• T 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
• TR 6:10 p.m.-7:25 p.m.
• S 10:10 a.m.-12:40 p.m.
• Instructor: Alberto Gonzalez Sanz
  Info
• 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 2:10 p.m.-3:25 p.m.
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Graeme Baker
  Info
• Instructor: Jaehyuk Choi
  Info
• 3 points

VISUAL COMMUNICATION & DESIGN

This course provides strategic communication students with the foundational notions and methods of design needed to collaborate with designers and amplify their work. It examines the impact technology and social transformations are having on design: the application of digital and generative technology, the redirection toward human-centric approaches, and the discipline’s standing in embracing social and ethical concerns related to ensuring inclusivity and preventing cultural bias. The course begins with a historical overview of design’s evolution and contemporary methods, setting the stage for an in-depth exploration of visual perception principles and key design elements like shape, form, color, typography, imagery, and layout. Students will apply the knowledge gained by experimenting with design practices and developing design strategies and applications through serial hands-on, collaborative assignments and workshops.

• Department: Strategic Communication
• W 8:10 p.m.-10 p.m.
• Instructor: Diego Kolsky
  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: Steven Campbell
  Info
• 3 points

TRANSFORMING TOTAL REWARDS

• Department: Human Capital Management
• W 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

Navigating conflict: Diverging stakehold

RESPONSE TO CLIMATE CHANG

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

CAPITAL MARKETS & INVESTMENTS

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

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

THE NONPROFIT SECTOR: SCOPE & IMPACT

NONPROFIT SECTOR: SCOPE&I

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

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

• Department: Non Profit Management
• M 4:10 p.m.-6 p.m.
• W 6:10 p.m.-8 p.m.
• W 6:30 p.m.-8 p.m.
• Instructor: Erwin Vincent S de Leon
  Info
• Instructor: Thomas W Watson
  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.
• Instructor: Laura Milewczik
  Info
• 3 points

ADVANCED DATA ANALYSIS

Prerequisites: W4315 and either another statistics course numbered above the 4200 or permission of instructor. Required for the major in statistics. Data analysis using a computer statistical package and selected exploratory data analysis subroutines. Topics include editing of data for errors, exploratory and standard techniques for one-way analysis of variance, linear regression, and two-way analysis of variance. Material is presented in case-study format.

• Department: Statistics
• F 5:10 p.m.-7:40 p.m.
• Instructor: Demissie Alemayehu
  h-index: 14 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
• M 1:10 p.m.-3:40 p.m.
• Instructor: Xiaofu He
  h-index: 21 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
• M 6:10 p.m.-8:40 p.m.
• Instructor: Lei Kang
  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 a.m.-noon
• Instructor: Liam M Paninski
  CULPA: 4 Info
• 3 points

TOPICS IN MODERN STATISTICS

Aspects of Math 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 1:10 p.m.-3:40 p.m.
• Instructor: Philip Protter
  h-index: 50 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 8:10 p.m.-10 p.m.
• Instructor: Rich Lauria
  Info
• 3 points