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
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• Instructor: Parijat Dube
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• 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
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• 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
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• 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
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• 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
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• 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
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• Instructor: R S Forston
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• 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
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• 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
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• 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
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• 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
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• Instructor: Franz Rembart
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• 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
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• Instructor: Jaehyuk Choi
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• 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
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• 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
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• 3 points

TRANSFORMING TOTAL REWARDS

• Department: Human Capital Management
• W 8:30 p.m.-10 p.m.
• Instructor: Edna B Chun
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• 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
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• Instructor: Thomas W Watson
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• Instructor: Jill Lalonde
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• 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
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• 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
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• 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.
• W 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• R 2:10 p.m.-4 p.m.
• F 2:10 p.m.-4 p.m.
• Instructor: Rich Lauria
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• Instructor: Neil Barman
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• 3 points

CAPSTONE SEMINAR

• Department: Human Capital Management
• T 6:10 p.m.-8 p.m.
• Instructor: Solange Charas
  h-index: 4 Info
• 3 points

FOUNDATIONS FOR THE KNOWLEDGE-DRIVEN ORG

FOUND. FOR KNWLDGE-DRIVEN

Note: This course starts with a multi-day, on-campus Residency in late Aug./early Sept. and continues online thereafter. 

Knowledge-driven organizations increasingly dominate the economy. What are their attributes? What vision and strategy guides their development? How are they designed? What are the jobs necessary for this new workplace? This course has been designed to give students a grounding that will be important for their future working career. It will focus on how the global economy and all its subsequent ramifications has evolved from a predominantly industrial base to one based on knowledge.

The Foundations course will begin by giving students a historical perspective as to how the "knowledge" economy specifically came about. We will be using historical and economic data and models which offer a clear understanding as to how the global economy and organizations evolved into their current state-where value is produced by knowledge and ideas significantly more than the earlier industrial processes and operations. 

The course will then present detailed and comprehensive treatments of how societies, organizations and individual lives have been changed due to this great shift in the factors of production. The course will also focus on how networks, communities and practices work and have evolved to focus more on knowledge production and transfer than on the more industrial factors of production such as land, labor and capital. In addition, the course will examine the critical role of intangibles such as culture, trust and missions in the workings of organizations in this new era. Insights from anthropology, psychology and sociology as well as economics will be incorporated into the course curriculum.

A complex and comprehensive case study on NASA and their knowledge operations will be one of the key learning tools for this course as it proceeds.

• Department: Information & Knowledge Strat
• Instructor: Edward J Hoffman
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• 3 points

CLAIMS MANAGEMENT

IMGT5300PS

• Department: Insurance Management
• Instructor: Richard Woollams
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• 3 points

HEDGE FUNDS STRATEGIES & RISK

The hedge fund industry has continued to grow after the financial crisis, and hedge funds are increasingly important as an investable asset class for institutional investors as well as wealthy individuals. This course will cover hedge funds from the point of view of portfolio managers and investors. We will analyze a number of hedge fund trading strategies, including fixed income arbitrage, global macro, and various equities strategies, with a strong focus on quantitative strategies. We distinguish hedge fund managers from other asset managers, and discuss issues such as fees and incentives, liquidity, performance evaluation, and risk management. We also discuss career development in the hedge fund context.

• Department: Mathematics
• T 8:10 p.m.-10 p.m.
• Instructor: Eric Yeh
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• 3 points

QUALITATIVE METHODS & RESEARCH

• Department: Narrative Medicine
• R 10:10 a.m.-1 p.m.
• Instructor: Carlos Decena
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• 4 points

SOCIAL IMPACT & PERFORMANCE MEASUREMENT

SOCIAL IMPACT & MEASUREME

Nonprofit organizations compete for scarce philanthropic and government funding and are expected to account for how these resources are utilized for the greater good. However, understanding how well nonprofit programs and services produce their desired outcomes can be a challenge. This course is designed to provide a broad – yet rigorous – overview of the knowledge and tools available to evaluate the effects of nonprofit and social impact programs and policies.

• Department: Non Profit Management
• M 6:10 p.m.-8 p.m.
• W 4:10 p.m.-6 p.m.
• Instructor: Jessie H Lee
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• Instructor: Erwin Vincent S de Leon
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• 3 points

SCULPTURE I

• Department: Visual Arts
• F 10 a.m.-4 p.m.
• T 10 a.m.-4 p.m.
• Instructor: Jon Kessler
  CULPA: 5 Wikipedia Info
• Instructor: Sasha E Fishman
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• 3 points

POETRY WORKSHOP

• Department: Writing
• F 1:10 p.m.-4:10 p.m.
• W 4:15 p.m.-7:15 p.m.
• R 10 a.m.-1 p.m.
• R 1:10 p.m.-4:10 p.m.
• T 10 a.m.-1 p.m.
• Instructor: Mark Bibbins
  Wikipedia Info
• Instructor: Timothy B Donnelly
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• Instructor: Shane McCrae
  Wikipedia Info
• Instructor: Emily F Skillings
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• Instructor: Lynn Xu
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• 6 points

INTERNATIONAL ENVIRONMENTAL LAW

INTL ENVIRONMENTAL LAW

International Environmental Law is a fascinating field that allows students to consider some of the most important questions of the 21st century – questions that have profound ramifications for the quality of life for our generation as well as future generations. Global environmental problems are real and urgent. Their resolution requires creative and responsible thought and action from many different disciplines. 

 

Sustainability practitioners must understand global environmental issues and their effects on what they are charged to do. At one level, this course will consider the massive challenge of the 21st century:  how to alleviate poverty on a global scale and maintain a high quality of life while staying within the bounds of an ecologically limited and fragile biosphere -- the essence of sustainable development.  From a more practical perspective, the course will provide students with an understanding of international environmental policy design and the resulting body of law in order to strengthen their ability to understand, interpret and react to future developments in the sustainability management arena.

 

After grounding in the history and foundational concepts of international environmental law and governance, students will explore competing policy shapers and the relevant law in the areas of stratospheric ozone protection, climate change, chemicals and waste management, and biodiversity. The course satisfies the public policy course requirement for the M.S. in Sustainability Management program.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Richard Horsch
  CULPA: 2 Info
• 3 points

Special Topics Course: Ethical AI in Hum

Ethical AI Conflict Resol

Artificial intelligence (AI) is rapidly reshaping our society, including concepts of global affairs, social justice, and human rights. While AI technologies offer the potential to improve our institutions, lives, and decision-making, they also have myriad negative effects, including perpetuating biases, reinforcing discrimination, and creating new challenges for conflict resolution. This course explores the ways in which AI interacts with ethics, including human rights frameworks and social justice. Students will analyze how AI systems impact communities, shape policymaking, and influence the distribution of power and resources.

This intensive weekend course is designed to provide a deep dive into the ethical implications of AI in our complex world. Students will engage in reflections and simulations to assess real-world dilemmas at the intersection of AI and societal issues. Through interactive discussions, theoretical explorations, and strategic exercises, students will critically examine issues such as bias in AI decision-making, algorithmic accountability, and the role of AI in peacebuilding efforts.

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-5 p.m.
• 1.5 points

NARRATIVE ETHICS (CERT)

• Department: Narrative Medicine
• 3 points

NARRATIVE ETHICS (CERT)

• Department: Narrative Medicine
• 3 points

SQL

SQL & RELATIONAL DB

• Department: Applied Analytics
• R 6:10 p.m.-8 p.m.
• Instructor: Michael J Coakley
  Info
• 3 points

SQL

SQL & RELATIONAL DB ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Nikolaos Machairas
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• 3 points

EMPIRICAL METHODS IN BIOETHICS

• Department: Bioethics
• M 10:10 a.m.-12:15 p.m.
• Instructor: Joanne E Mantell
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• 3 points

ETHICAL DECISION MAKING FOR COMMUNICATOR

• Department: Strategic Communication
• M 10:10 a.m.-noon
• M 2:10 p.m.-4 p.m.
• M 10:10 a.m.-noon
• Instructor: Frank J Oswald
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• 3 points

Special Topics: Conflict Analysis at Int

Confl Analysis Intl Dev O

Understanding the root causes and drivers of conflict and peace are essential when designing international development interventions of any kind and at all levels. In international development organizations that operate in the fragile and conflict-affected areas of the world, the objective of conflict analysis is a dual one: 1) to improve the effectiveness of international development policy and programming in their contribution to conflict prevention, mitigation, and/or peacebuilding; and 2) to ensure principles of conflict sensitivity and “do no harm” are applied in order to prevent inadvertently worsening existing conflicts or creating new tensions. However, each organization has their own way of undertaking such analysis, which may include an initial literature and desk review, consultations in the field with relevant stakeholders, discussion with the relevant target audience including the Country Director/Resident Coordinator, and final preparation and integration into country strategies and programming. This course will introduce students to the different frameworks and approaches for conflict analysis used within various international development organizations, most significantly within multilaterals like the World Bank (WB) and the United Nations (UN) and its various agencies and entities; as well as government departments and bilateral organizations including the United Kingdom’s Foreign Commonwealth Development Office (FCDO) and the United States Department of State; and finally international non-governmental organizations like Collaborative Learning Projects (CDA). Students will learn how to conduct a conflict analysis (also sometimes called a conflict assessment) at an international organization and will get a chance to work through the issues faced by policymakers in a country-level scenario simulation where they will put the theory and methodologies they have learned to the test. The course will include assigned readings and assignments due before class begins; group and individual assignments for each of the days; and assignments after the active class session ends. During the second day, there will be a discussion with a panel of experts who have conducted conflict assessments at these institutions. Students will leave the course with practical knowledge that will lend itself to conducting conflict assessments at international development organizations and beyond.

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-5 p.m.
• 1.5 points

ECONOMIC POLICY ANALYSIS

• Department: Economics
• 3 points

STRATEGIC PHILANTHROPY

This course explores the evolving field of philanthropy by examining its historical foundations and the rationale for the continued existence of philanthropic organizations, like foundations, today. From the industrial-era legacies of figures like Rockefeller and Ford to the modern innovations driven by today's billionaires, students will analyze how generational and societal shifts have shaped the strategies and impact of philanthropy over time.

A key focus of the course is on how philanthropic organizations respond to complex societal issues such as racial justice, climate change, healthcare, and human rights. Through centering diverse perspectives and critical engagement with power structures, this course equips students with the tools to navigate, critique, and influence the philanthropic sector in impactful ways. Students will appraise both the catalytic role philanthropy can play in driving social change and instances where such efforts have backfired and reinforced systematic inequities. The course will further explore how foundations’ missions, values, and goals shape their decisions on funding, project duration, grantee expectations, and impact evaluation methods.

The course will examine different approaches to grantmaking, including social entrepreneurship, effective altruism, social justice grantmaking, and strategic philanthropy. Students will learn the differences across these conceptual frameworks and understand how they influence the ways in which foundations operate. By exploring both the conceptual and pragmatic dimensions of across these frameworks, students will understand the tensions and debates within the philanthropic sector and be well prepared to identify those foundations most likely to support their work. 

Students will also analyze the role of foundation program officers as change agents who navigate power, influence, and institutional constraints to drive change. Through case studies, guest speaker sessions, and real-world examples, participants will learn how these professionals influence funding priorities and partnerships in response to societal needs.

Students will develop and pitch a concept for a new funding initiative to a mock foundation board. This exercise will require them to demonstrate an understanding of the foundation’s mission and approach while proposing improvements to its strategic direction. The final assignment will require the student to pull together their funding concept into a Transformative Phil

• Department: Non Profit Management
• T 6:30 p.m.-8 p.m.
• Instructor: Ali Webb
  Info
• 3 points

INTRODUCTION TO PHILOSOPHICAL BIOETHICS

INTRO TO PHILOSOPHICAL BI

In contemporary bioethics, we find ourselves grappling with practically important, and at the same time, philosophically fundamental questions such as: When does someone’s life begin and how should it end? What is the proper role of physicians, nurses and other health care providers and what are the rights of their patients? What is a just and fair way to provide access to health-care services and resources? Which potential uses of new genetic and reproductive technologies would represent a legitimate advance in medicine and which would signify the beginning of a humanly degrading "brave new world"? Indeed, in a society committed to protecting a diversity of lifestyles and opinions, how can citizens resolve significant policy controversies such as whether there should be public funding of human embryonic stem cell research, or a legally protected right to physician assistance in ending one’s life?

The aims of this course are to identify the fundamental ethical questions that underlie contemporary biomedical practice; develop skill in analyzing and clarifying key concepts such as autonomy, justice, health and disease; critically assess the healthcare implications of different ethical outlooks; explore how citizens can reasonably address controversial bioethical issues in a mutually respectful and constructive way.

The course meets once a week for an hour and a half. Live-session interaction and post-session discussion forums play a key role as students explore, in a give-and-take spirit, the pros and cons of each position.

This course is designed for medical students, nursing students, and other healthcare professionals, as well as for students at the graduate or advanced undergraduate level in biology, philosophy, political science, public health, law, and related fields.

• Department: Bioethics
• R noon-2:30 p.m.
• T 8 p.m.-10 p.m.
• Instructor: Arthur Kuflik
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• 3 points

STRATEGIC RISK MANAGEMENT

Review of the types of strategic risks, such as a flawed strategy, inability to execute the strategy, competitor risk, supply chain risk, governance risk, regulatory risk, M&A risk, international risk, etc. Includes case studies, research, and common mitigation techniques, such as strategic planning practices, management techniques, governance practices, supply-chain management, etc.

• Department: Enterprise Risk Management
• M 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• F 4:10 p.m.-6 p.m.
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Yvonne Pytlik
  Info
• Instructor: Celia Kapsomera
  Info
• Instructor: Violet Diamant
  Info
• Instructor: Raj Mittal
  Info
• Instructor: Carlo Di Florio
  Info
• 3 points

SOCCER ANALYTICS

This course will examine the data collection process, application, and management practices as it applies to soccer, specifically Major League Soccer and the National Women’s Soccer League. Using soccer as a platform to explore techniques, students will develop a working knowledge of the practical applications of analysis and models used to make management decisions within an organization and a professional league. With growing global connectivity, and access to data across various international leagues, the ability to embrace in-game analytics to improve team's performance, evaluate talent, develop in-game strategies, and more efficiently manage their roster in order to create financial value for their stakeholders has become an invaluable skill.
 
In response to the sports industry turning more towards application of analytics and critical thinking skills, Soccer Analytics aims to develop students into managers who can make decisions, based on provided models, regarding both player and team valuations. Students should be able to demonstrate the capability to apply advanced critical thinking skills to sports business issues and have the ability to integrate objective analysis with subjective judgment in a way that adds value to decision processes.
 
The class will be taught through a combination of lectures, class discussion, group presentations and guest speakers.  Each class will include a review of the reading assignments noted in the syllabus, and students are expected to be fully prepared.  Students are required to read assignments from the texts as well as additional sources provided by the professor. Students must attend class prepared to engage in discussions; have, articulate and defend a point of view; and ask questions and provide comments based on their reading.

• Department: Sports Management
• M 8:10 p.m.-10 p.m.
• Instructor: Sam Goldberg
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• 3 points

LAW & BIOETHICS

This course introduces students to selected legal and policy texts that have addressed issues in bioethics and shaped their development. Students will explore and contrast legal reasoning and bioethical analysis, often of the same issues. By the end of the course, students will understand the legal or regulatory status of selected issues and have begun to independently navigate major legal, regulatory, and policy texts. Individual sessions will be focused around particular issues or questions that have been addressed by (usually) American courts and/or in legislation, regulation or policy, and that have been the subject of scholarship and debate within bioethics.

The course begins with a theoretical look at the relationship between law and ethics, and includes a brief introduction to legal decision-making and policy development. We then survey a range of bioethics issues that have been addressed by the courts and/or in legislation, regulation, or significant policy documents, contrasting and comparing legal argument and reasoning with arguments utilized in the bioethics literature.

• Department: Bioethics
• R 8 p.m.-10 p.m.
• M 5:30 p.m.-7:30 p.m.
• Instructor: David N Hoffman
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• Instructor: Susan Regan
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• 3 points

DIGITAL COMMUNICATION STRATEGY

As digital media increasingly drives the field of strategic communication, leading successful communication efforts also require a platform specific, evidence-based strategic approach. Leaders must know how to use a broad and rapidly changing mix of digital media platforms and tools to connect their message with the right audience. To that end, this course covers major topics in digital media and communication, such as content strategy, digital experience, channel planning, online reputation management, programmatic marketing, audience targeting, artificial intelligence and more. Through in-class lectures, discussion, case studies, guest speakers, group projects and individual writing assignments, students in this course will be introduced to strategic decision-making and communications planning for social media, mobile, digital advertising, search, email, digital out-of-home and interactive media (video, radio, podcasts). Students will also gain an in-depth understanding of how to integrate digital strategies and tactics with traditional communication efforts.

• Department: Strategic Communication
• W 2:10 p.m.-4 p.m.
• Instructor: Lilian Ore
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• 3 points

SPORTS ENTREPRENEURSHIP

• Department: Sports Management
• M 12:10 p.m.-2 p.m.
• Instructor: Grant J Son
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• 3 points

LEADING COLLABORATION

This course is about leading boundary-spanning coalitions. An old African proverb tells us that, "If you want to go fast, go alone. If you want to go far, go together." While this advice is especially relevant in our interconnected 21st-century world, we have learned that working together is not always easy to do well.

“Collaboration at Scale: Leading Boundary-Spanning Coalitions” takes the study of collaboration into an even wider realm by examining the potential and complexity of large-scale, cross-organizational collaboration, and how to lead it.

The concept of scalability is common in the business world and this course demonstrates what it takes to make collaboration scalable and suitable for a variety of challenging contexts larger than a single organization. Inherent in the concept of scalability are the notions of "appropriate scale" and also "at scale." Both of these notions raise valid questions that we will address in this course. (Though our interpretations of scale have evolved with the advent of social media, specific technology selection is not the focus of the course.)

Students will learn the characteristics, conditions and dynamics of various large-scale collaborations, as well as how to design and lead them effectively. Course materials will be drawn from the for-profit and nonprofit worlds. Using a balance of practice and theory of networks and large system facilitation, students will demonstrate their mastery of course materials through an assignment in which they diagnose and (re)design a “collaboration at scale.” This could be in the business, scientific, religious, political, or humanitarian domains.

• Department: Information & Knowledge Strat
• T 6:10 p.m.-8 p.m.
• Instructor: Blake Dicosola
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• Instructor: Angela Finlay
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• 3 points

OPERATIONAL RISK MANAGEMENT

Review of the types of operational risks, such as technology risk (e.g., cyber-security), human resources risk, disasters, etc. Includes case studies, risk analysis frameworks and metrics, and common mitigation techniques, such as insurance, IT mitigation, business continuing planning, etc.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Francis Tobin
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• Instructor: Kiran Bhujle
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• Instructor: Rossano Rossi
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• Instructor: Gemini Yadav
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• Instructor: Lisa Broomer
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• Instructor: Umesh Akki
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• 3 points

FIXED INCOME PORTFOLIO MGMT

Prerequisites: comfortable with algebra, calculus, probability, statistics, and stochastic calculus. The course covers the fundamentals of fixed income portfolio management. Its goal is to help the students develop concepts and tools for valuation and hedging of fixed income securities within a fixed set of parameters. There will be an emphasis on understanding how an investment professional manages a portfolio given a budget and a set of limits.

• Department: Mathematics
• T 10:10 a.m.-noon
• Instructor: Rosanna Pezzo
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• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

Students without a strong math background will require significant additional time and effort to achieve the learning objectives and work through the course assignments. This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python. This course is a required prerequisite for registering for the following courses: Financial Risk Management, Insurance Risk Management, ERM Modeling.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Arun B Venkatarangan
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• Instructor: Petr Chovanec
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• Instructor: Fabrice Fiol
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• 3 points