ETHICAL DECISION MAKING FOR COMMUNICATOR
- Department: Strategic Communication
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Instructor:
Jane M McManus
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Instructor:
Roberto Lara Aranda
Info - 3 points
Conflict Analysis at International Devel
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
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Instructor:
Catalina Quintero
Info - 1.5 points
Foundations and Social Change: Theories,
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
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
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Instructor:
Arthur Kuflik
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
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Instructor:
Arthur Kuflik
Info - 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
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Instructor:
Violet Diamant
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Instructor:
Raj Mittal
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Instructor:
Melody Feinberg
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Instructor:
Celia Kapsomera
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Instructor:
Carlo Di Florio
Info - 3 points
Special Topics: AI & Negotiation Practic
AI & Negotiation Practice
This course examines how artificial intelligence is transforming negotiation practice and equips students with a framework for strategic, ethical negotiation. The course explores negotiations in which AI serves as a preparation tool, a negotiating assistant, an agent, and a counterpart. Students engage with AI-enhanced human negotiation, human-to-AI negotiation, and AI-agent negotiation. Through recorded negotiations, prompt design, bot-building, negotiations with and against AI agents, an asymmetric access exercise, and a live simulation integrating all modalities, students build technical fluency with emerging technologies while critically examining the ethical, cultural, and professional challenges they introduce.
- Department: Negotiation & Conflict Resolution
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Instructor:
Courtney A Chicvak
Info - 1.5 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
- 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
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Instructor:
David N Hoffman
h-index: 2 Info - 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
- 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
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Instructor:
Lilian Ore
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Instructor:
Mariana Y Pinos
Info - 3 points
SPORTS ENTREPRENEURSHIP
- Department: Sports Management
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Instructor:
Grant J Son
Info - 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
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Instructor:
Blake Dicosola
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Instructor:
Angela Finlay
Info - 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
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Instructor:
Rossano Rossi
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Instructor:
Francis Tobin
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Instructor:
Chris Lee
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Instructor:
Nabeed Zaman
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Instructor:
Mark Jankiewicz
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Instructor:
Umesh Akki
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Instructor:
Lisa Broomer
Info - 3 points
INTRO TO QUANTITATIVE RISK MANAGEMENT
INTRO TO QUANT RISK MGMT
Students without a strong math background and experience with Excel 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: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
- Department: Enterprise Risk Management
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Instructor:
David J Romoff
Info - 3 points
INTRO TO QUANTITATIVE RISK MANAGEMENT
INTRO TO QUANT RISK MGMT
Students without a strong math background and experience with Excel 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: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
- Department: Enterprise Risk Management
- 3 points
INTRO TO QUANTITATIVE RISK MANAGEMENT
INTRO TO QUANT RISK MGMT
Students without a strong math background and experience with Excel 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: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
- Department: Enterprise Risk Management
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Instructor:
Roman Halfin
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Instructor:
Sudeep Lahiri
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Instructor:
Oleksandra V Lyulko
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Instructor:
Eric Tam
Info - 3 points
INTRO TO QUANTITATIVE RISK MANAGEMENT
INTRO TO QUANT RISK MGMT
Students without a strong math background and experience with Excel 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: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
- Department: Enterprise Risk Management
- 3 points
INTRO TO QUANTITATIVE RISK MANAGEMENT
INTRO TO QUANT RISK MGMT
Students without a strong math background and experience with Excel 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: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.
- Department: Enterprise Risk Management
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Instructor:
David J Romoff
Info - 3 points
FUNDAMENTALS OF SPORTS ANALYTICS
STATISTICS
- Department: Sports Management
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Instructor:
Steven Angel
Info - 3 points
CARBON CAPTURE UTILIZATION AND STORAGE
CARBON CAPTURE UTIL & STO
This course covers the technical and non-technical aspects of Carbon Utilization and Storage (CCUS), one of our most important and achievable tools to mitigate climate change. The course begins by presenting our global energy needs and the environmental motivation for CCUS and its natural analogues. Students will review the basic concepts and methods involved in CO2 capture, trapping, and monitoring, as well as established methods for modeling the fate of CO2in the subsurface. Students will then consider the needs and implications of CO2 capture from industrial sources (power plants) and directly from ambient air and examine current examples from around the world. This course will go on to discuss integrating CCUS with renewable energy sources (negative emission) and ocean storage options. Students will think through the challenges associated with CCUS, including the transportation of CO2to storage locations, regulations and incentives, and the public view and acceptance of this technology. The course will end with a discussion of where to go from here to find pathways to a carbon neutral future. At the conclusion of this course, each student will have gained a practical understanding of the potential for CCUS solutions to mitigate climate change and gain experience in presenting related technical and non-technical information to their peers. This will critically inform decision making and hone communication skills for future careers in fossil and renewable energy generation, power distribution, manufacturing, environmental policy, and scientific outreach.
- Department: Sustainability Science
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Instructor:
David S Goldberg
Info - 3 points
IKNS CAPSTONE
IKNS CAPSTONE PROJECT
Note: This course is offered both in an online (synchronous) format as well as in an in-person format. Both formats conclude with a multi-day, on-campus Residency in December. Please refer to the
Important Dates
section of the
Curriculum & Courses page
for upcoming Residency dates.
OVERVIEW
: The IKNS Capstone represents the culmination of learning throughout the IKNS program in which students master business-critical concepts in data, analytics, people, networks, integration, and strategy. Working individually and in small teams, students design and deliver a project for a capstone sponsor seeking IKNS expertise to help solve a real-world problem within the sponsor’s organization. Using what they have learned from across the curriculum, students apply IKNS frameworks and use both qualitative and quantitative research to develop a written business report, oral presentation. and a final product for the sponsor including but not limited to a roadmap, strategic plan, white paper, or minimum viable product (MVP). The Capstone provides a final testing ground for students to apply their learning to real organizational needs and also become familiar with consultative approaches to inspire impact for their Capstone project sponsor.
LOGISTICS:
Open to IKNS only. Prerequisites: Before embarking on the Capstone course, students must have earned at least 18 credits towards their IKNS degree. At least 12 of these 18 credits must be specifically from required courses.
- Department: Information & Knowledge Strat
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Instructor:
Blake Dicosola
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Instructor:
Jamie Muskopf
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Instructor:
Matthew Perry
Info - 3 points
CODING FOR RISK MANAGEMENT
Equips students with the ability to adopt the programming culture typically present in the ERM/risk areas of most financial organizations. By studying Python, SQL, R, git, and AWS, students gain exposure to different syntaxes. Students apply these skills by coding up market risk and credit risk models. Students also gain familiarity with working in the cloud.
- Department: Enterprise Risk Management
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Instructor:
David Weltz
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Instructor:
Zaur Nurtaza
Info - 3 points
FINANCIAL RISK MANAGEMENT
A survey of market, credit, liquidity, and systemic risk. Includes case studies, risk quantification methods, and common mitigation techniques using portfolio management, hedging, and derivatives. Also addresses traditional risk management practices at banking institutions.
- Department: Enterprise Risk Management
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Instructor:
Marcus Eich
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Instructor:
Justin Hon
Info - 3 points
ETHICAL ISSUES IN MUSEUMS
Ethical questions about museum activities are legion, yet they are usually only discussed when they become headlines in newspapers. At the same time, people working in museums make decisions with ethical and legal issues regularly and seldom give these judgments even little thought. In part, this is due to the fact that many of these decisions are based upon values that become second nature. This course will explore ethical issues that arise in all areas of a museum's operations from governance and management to collections acquisition, conservation, and deaccessioning. We will examine the issues that arise when the ownership of objects in a museum's are questioned; the ethical considerations involved in retention, restitution and repatriation; and what decolonization means for museums.
- Department: Anthropology
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Instructor:
Sally Yerkovich
Info - 3 points
HOPE, MEANING AND ETHICS IN CLINICAL CAR
- Department: Bioethics
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Instructor:
Linda S Golding
Info - 3 points
FRM PRACTICES
Provides the opportunity to learn how business units operate at an investment bank. Several industry practitioners each spend one to two sessions providing a hands-on experience that recreates the operations and decision-making of front, middle, and back offices work at a bank. Students typically learn the common activities, the data inputs, the analytics, and the applications of the insights.
- Department: Enterprise Risk Management
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Instructor:
Qingji Yang
Info - 3 points
QUANTITATIVE RISK MANAGEMENT
Quantitative Risk Management continues building your quantitative foundation in order to work with more advanced models and use mathematical and statistical intuition for building those models. At the end of this course, you will be able to use analytics algorithms for risk management; use factor models to assess the quality of investment portfolios and trader positions; hedge equity, option, and fixed-income portfolios using derivatives; estimate volatility with options models and GARCH models; and model ESG and Climate risk.
The course is highly structured and organized by topic into semester long learning threads. Each week, readings and assignments will take another step forward along these threads: regression models, classification models, time series analysis, options and volatility modeling, fixed income modeling, factor models and portfolio management, tail risk modeling. These concepts will be demonstrated in python and students are expected to be able to understand and run python code.
- Department: Enterprise Risk Management
- 3 points
Disability and Illness Narratives (CERT)
Disability Illness Narrat
This course examines questions such as: What does the telling and reading of narratives do for the ill or disabled individual? How can clinicians effectively elicit, interpret, and act upon such narratives? Who owns a story, and what is the role of co-authorship, power and witnessing in story-telling and story-listening? Whose voice do we hear? What are the roles of power and hierarchy in story-telling and listening? What is the impact of familial, cultural, social, institutional, political contexts on the individual story? And finally, how can personal stories be translated to political advocacy and action? Texts assigned weekly will be broadly interdisciplinary – drawing from memoir, poetry, essays, fiction, feature and documentary films, narrative theory, and disability studies, exploring the relationship between disability/illness experience and narrative. This elective course is open to all students in the Narrative Medicine CPA program. Students should be prepared to engage with each other and with the instructor and to offer their questions, comments, insights, and analysis.
This is an essential, practically applied element of narrative medicine study and it is exemplary as a way to illustrate the impact of narrative study in shaping experience, opening awareness, and highlighting the need for change and new stories. A narrative medicine course focused on disability and illness narratives is an important aspect of narrative medicine study. Exploring narratives presented in a variety of formats by using narrative medicine methods can encourage deeper perspective-taking and promote activism for underrepresented voices.
Disability and Illness Narratives: Storytelling For Awareness and Activism
is an elective course in the Narrative Medicine CPA program. In addition, this course is open to cross-registrants in other programs who demonstrate some understanding of narrative medicine and/or participate in the online asynchronous narrative medicine orientation course before the semester begins. Narrative Medicine CPA students are required to have completed, or be simultaneously enrolled in the course,
Narrative Medicine Methods: Close Reading and Writing
, course number K5120, and have completed the required program online asynchronous orientation course. CPA courses are all 10 weeks/modules long, and they are online and asynchronous, which means there are no meeting times. Each module represents one week of the course. All modules begin on a Tuesday and end on Monday of th
- Department: Narrative Medicine
- 3 points
INSURANCE RISK MANAGEMENT
Review of types of insurance risk, such as pricing risk, underwriting risk, reserving risk, etc. Includes case studies, risk quantification methods (e.g., market-consistent economic capital models, dynamic financial analysis (DFA) models, catastrophe models, etc.), and common mitigation techniques, such as asset-liability management (ALM), reinsurance, etc. Also addresses traditional risk management at insurance companies and ERM actuarial standards of practice (ASOPs).
- Department: Enterprise Risk Management
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Instructor:
Ding Dai
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Instructor:
Juan D Espinosa
Info - 3 points
CREDIT RISK MANAGEMENT
Credit Risk Management requires business acumen, the monitoring of internal and external data, disciplined execution, and organizational intelligence. A solid understanding of this enables a credit risk manager to help organizations achieve their objectives. Through readings, case studies, and modeling projects, students learn how risk managers decide on credit risk management strategy applied throughout the client lifecycle.
- Department: Enterprise Risk Management
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Instructor:
Christakis Droussiotis
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Instructor:
Sudeep Arora
Info - 3 points
CAPSTONE
Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.
- Department: Non Profit Management
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Instructor:
Lonni Ryan
Info - 3 points
Practitioners Seminar
This upcoming fall, we are going to kick off the “Practitioners Seminar” course, where successful practitioners from various industry fields (tech, finance, insurance, pharmaceutical, etc..) will have a chance to meet our students and present the projects they work on, technologies they utilize to achieve their goals, solutions they came up with etc. In addition, guest speakers will share their career development path (what kind of obstacles they faced, what pitfalls to avoid, and in general give advice on career development in their fields). We will finish up the meeting with a Q&A session with students.
- Department: Statistics
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Instructor:
Gabriel Young
CULPA: 7 Info - 0 points
PROFESSIONAL DEVELOPMENT
The course aims to teach MA in Statistics students how to manage their careers and develop professionally. Topics include resume and cover-letter writing, negotiation, mentoring, interviewing skills and communication across global teams. Top professionals from across the globe speak to students and help improve leadership skills.
- Department: Statistics
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Instructor:
Banu Baydil
CULPA: 10
Info
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Instructor:
Gabriel Young
CULPA: 7 Info - 0 points
MA Mentored Research
MA MENTORED RESEARCH
This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.
- Department: Statistics
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Instructor:
Demissie Alemayehu
h-index: 14 Info - 0-3 points
Statistical Fieldwork
Prerequisites: GR5203; GR5204 &GR5205 and at least 4 approved electives This course is an elective course for students in the M.A. in Statistics program that counts towards the degree requirements. To receive a grade and academic credits for this course, students are expected to engage in approved off-campus internships that can be counted as an elective. Statistical Fieldwork should provide students an opportunity to apply their statistical skills and gain practical knowledge on how statistics can be applied to solve real-world challenges.
- Department: Statistics
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Instructor:
Demissie Alemayehu
h-index: 14 Info - 1 points
FUNDAMENTALS OF DATA ENGINEERING
FUNDAMENTALS OF DATA ENGINEERING
- Department: Applied Analytics
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Instructor:
Javid B Huseynov
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Instructor:
Darshan Desai
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Instructor:
Amreeta Choudhury
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Instructor:
Arash Khatibi
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Instructor:
Robert Simione
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Instructor:
Samar Deen
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Instructor:
Nitinchandra Nayak
Info - 3 points
FUNDAMENTALS OF DATA ENGINEERING
FUND OF DATA ENG ONLINE
FUNDAMENTALS OF DATA ENGINEERING
- Department: Applied Analytics
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Instructor:
Mohsen Golalikhani
Info - 3 points
CLINICAL ETHICS
While this course is designed to introduce students to the fundamentals of clinical ethics and the basic terminology and framework of ethical analysis in biomedical ethics, it offers a more sociological perspective, putting the contemporary clinical issues into a broader context. We will look briefly at the development of clinical ethics and its impact on hospital care and doctor-patient relationships, on the prevailing autonomy norm and its critique. The course then focuses on issues encountered in clinical practice such as informed consent, patient capacity, decision-making, end of life, advance directives, medical futility, pediatrics ethics, maternal-fetal conflicts, organ transplantation, cultural competence and diversity of beliefs and others. The course will examine the role of the clinical ethics consultant (CEC) and assignments will mimic the work that CECs may perform in the hospital setting.
Over the span of the semester, students become familiar with the ethical questions surrounding major topics in the clinic with a practical case-based approach toward ethics dilemmas and ethics consultation. During the semester, students in New York attend a meeting of the adult or pediatric ethics committees of New York Presbyterian and Morgan Stanley Children's Hospital or another area hospital, as well as ethics lectures given at the medical center.
Students are expected to complete five case write-ups using a template that will be given by the instructor. Students will be using these cases to refine and hone their ethical analysis skills and to show their knowledge of law, policy and ethical principles and how they might apply to each situation.
- Department: Bioethics
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Instructor:
Barbra Rothschild
Info -
Instructor:
Cindy Geppert
Info - 3 points
CLINICAL ETHICS
While this course is designed to introduce students to the fundamentals of clinical ethics and the basic terminology and framework of ethical analysis in biomedical ethics, it offers a more sociological perspective, putting the contemporary clinical issues into a broader context. We will look briefly at the development of clinical ethics and its impact on hospital care and doctor-patient relationships, on the prevailing autonomy norm and its critique. The course then focuses on issues encountered in clinical practice such as informed consent, patient capacity, decision-making, end of life, advance directives, medical futility, pediatrics ethics, maternal-fetal conflicts, organ transplantation, cultural competence and diversity of beliefs and others. The course will examine the role of the clinical ethics consultant (CEC) and assignments will mimic the work that CECs may perform in the hospital setting.
Over the span of the semester, students become familiar with the ethical questions surrounding major topics in the clinic with a practical case-based approach toward ethics dilemmas and ethics consultation. During the semester, students in New York attend a meeting of the adult or pediatric ethics committees of New York Presbyterian and Morgan Stanley Children's Hospital or another area hospital, as well as ethics lectures given at the medical center.
Students are expected to complete five case write-ups using a template that will be given by the instructor. Students will be using these cases to refine and hone their ethical analysis skills and to show their knowledge of law, policy and ethical principles and how they might apply to each situation.
- Department: Bioethics
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Instructor:
Cindy Geppert
Info - 3 points
PRACTICAL PRODUCTION I
Practical Production 1 teaches students best practices regarding film production and technology in the integrated first year of the MFA Film Program through lectures, discussions, pre-production meetings, multi-hour shoots on set and an end-of-the-semester screening. This class is required for all first-year students. Throughout the Fall, students will work in small production groups to prep and shoot a short script in the Prentis studio. Each week one group will organize a pre-production meeting and then produce a four-hour shoot. The professor will be in attendance and two de-briefing sessions will occur throughout the production to reiterate best film production practices. Additional assignments will include the creation of various pre-production, production and wrap paperwork and tech deliverables. Additional mandatory production and risk management workshops will be given. The last class will be a screening of all group films and prep/discussion for the 3-5 exercise shot over Winter Break. Required for all first-year students.
- Department: Film
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Instructor:
Joshua R Troxler
Info - 1.5 points
NON-LINEAR OPTION PRICING
Prerequisites: familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Prerequisites: Familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Nonlinear Option Pricing is a major and popular theme of research today in quantitative finance, covering a wide variety of topics such as American option pricing, uncertain volatility, uncertain mortality, different rates for borrowing and lending, calibration of models to market smiles, credit valuation adjustment (CVA), transaction costs, illiquid markets, super-replication under delta and gamma constraints, etc. The objective of this course is twofold: (1) introduce some nonlinear aspects of quantitative finance, and (2) present and compare various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.
- Department: Mathematics
- 3 points
MATH METHODS FOR ECONOMISTS
- Department: Economics
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Instructor:
Gabriel Single Toledo
Info - 3 points
MARKET RISK MANAGEMENT
This course provides the tools to measure and manage market risk in the context of large financial institutions. The volume and complexity of the data itself, at large institutions, makes it a challenge to generate actionable information. We will take on this challenge to master the path from data to decisions.
We cover the essential inputs to the engines of financial risk management: VaR, Expected Exposure, Potential Exposure, Expected Shortfall, backtesting, and stress testing as they apply to asset management and trading. We explore the strengths and weaknesses of these different metrics and the tradeoffs between them. We also cover how regulatory frameworks impact both the details and the strategy of building these engines. Lastly, we cover counterparty-credit methodologies, mainly as they apply to Trading Book risk.
- Department: Enterprise Risk Management
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Instructor:
Michael Zwecher
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Instructor:
Deniz Ozenbas
Info - 3 points
PRINTMAKING:DRAWING INTO PRINT
- Department: Visual Arts
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Instructor:
Tomas Vu Daniel
CULPA: 4
Info
- 3 points
SYMBOLIC LOGIC
Advanced introduction to classical sentential and predicate logic. No previous acquaintance with logic is required; nonetheless a willingness to master technicalities and to work at a certain level of abstraction is desirable. Note: Due to significant overlap, students may receive credit for only one of the following three courses: PHIL UN3411, UN3415, GR5415.
- Department: Philosophy
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Instructor:
Tamar A Lando
CULPA: 8 Info - 4 points
ANOMALY DETECTION
- Department: Applied Analytics
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Instructor:
Christopher Kuo
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Instructor:
Andrew Assing
Info - 3 points
CREDIT RISK ANALYTICS
The field of credit risk management is undergoing a quiet revolution as subjective and manually-intensive methods give way to digitization, algorithmic management, and decision-making. This course provides a practical overview and hands-on experience with different methods, and it also provides a view of future technologies and discussions of potential future directions. Participants in this course should be well-positioned to take entry-level analytic positions and help drive strategic decisions.
The first half of the course explores analytics used today for credit risk management. You will learn to create rating and scoring models and a macro scenario-based stress testing model. In the second half of the course, we explore more advanced tools used by the more prominent organizations and fintech firms, including neural net and XGBoost decision tree models.
- Department: Enterprise Risk Management
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Instructor:
Christopher Mann
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Instructor:
Douglas W Dwyer
Info - 3 points
MODEL & TRADE DERIVATIVES
Required Prerequisite: Math GR5010 Intro to the Math of Finance (or equivalent). Recommended Prerequisite: Stat GR5264 Stochastic Processes – Applications I (or equivalent).
The objective of this course is to introduce students, from a practitioner’s perspective with formal derivations, to the advanced modeling, pricing and risk management techniques of vanilla and exotic options that are traded on derivatives desks, which goes beyond the classical option pricing courses focusing solely on the theory. It also presents the opportunity to design, implement and backtest vol trading strategies. The course is divided in four parts: Advanced Volatility Modeling; Vanilla and Exotic Options: Structuring, Pricing and Hedging; FX/Rates Components: Discounting, Forward Projection, Quanto and Compo Options; Designing and Backtesting Vol Trading Strategies in Python.
- Department: Mathematics
- 3 points
QUALITATIVE EVALUATION METHODS FOR NARRA
QUALTV EVALUATION METHODS
TBA
- Department: Narrative Medicine
- 3 points
QUALITATIVE EVALUATION METHODS FOR NARRA
QUALTV EVALUATION METHODS
TBA
- Department: Narrative Medicine
- 3 points
PRINTMAKING II: INTAGLIO
- Department: Visual Arts
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Instructor:
Jennifer Nuss
Info - 3 points
APPLIED TEXT AND NATURAL LANGUAGE ANALYT
APPLIED TXT & NAT LANG AN
- Department: Applied Analytics
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Instructor:
John Ortega
h-index: None Info - 3 points
LIQUIDITY RISK MANAGEMENT
Indicators of companies running into hard times typically include revenue volatility, loss of key personnel, reputational damage, and increased litigation. However, company failures are frequently marked by insufficient liquidity, or the lack of cash to meet obligations. Liquidity risk is the unexpected change in a company’s cash resources or demands on such resources that results in the untimely sale of assets, and/or an inability to meet contractual demands and/or default. In extreme cases, the lack of sufficient cash creates severe losses and results in company bankruptcy.
An institution’s cash resources and obligations can and must be managed. Indeed, the field of liquidity risk management is an established part of treasury departments at sizable institutions. The regularity of cash flows and the turbulence of business and markets must be assessed and quantified. This course provides students the tools and techniques to manage all types of liquidity challenges including the need to sell assets unexpectedly in the market, or work through ‘‘run‐on-the‐bank’’ situations for financial services companies.
- Department: Enterprise Risk Management
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Instructor:
Joseph Dziwura
Info - 3 points
ADVANCED MACHINE LEARNING FOR FINANCE
ADV MACHINE LEARNING FOR
The application of Machine Learning (ML) algorithms in the Financial industry is now commonplace, but still nascent in its potential. This course prepares the next generation of researchers and practitioners for the coming revolution, providing an advanced "deep dive" into machine learning methods (both theory and application) that are deemed to be useful for financial applications, including trading and investment management.
- Department: Mathematics
- 3 points
FINANCIAL DATA SCIENCE AND MACHINE LEARN
FIN DATA SCI & MACHINE LE
This course teaches cutting-edge tools and methods that drive investment decisions at quantitative trading firms, and, more generally, firms applying machine learning to big data. The course will combine presentations of theory, immediately followed by in-class Python programming examples using real financial data. The course will develop a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. Among the topics covered are lasso, elastic net, cross validation, Bayesian models, the EM algorithm, Support Vector Machines, kernel methods, Gaussian processes, Hidden Markov Models, and neural networks. The final project will lead the students to build a trading strategy based on the techniques learned throughout the course.
- Department: Applied Analytics
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Instructor:
William G Ritter
Info - 3 points
BLOCKCHAIN AND ERM
Using Blockchain, decisions can be made without relying on a single centralized authority, allowing for greater transparency and trust between participants. By using smart contracts and distributed ledgers, users can easily create, modify, and manage agreements between stakeholders, ensuring that all parties have access to the same information and can make informed decisions. As a result, Blockchain technology reduces the risks associated with decision-making, and improves efficiency and accuracy. This course first examines the risks and rewards of implementing Blockchain at large organizations engaging in decentralized decision-making processes. The course then explores the Blockchain as a tool for risk management.
- Department: Enterprise Risk Management
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Instructor:
Bhavna Sethi
Info -
Instructor:
Claire Husson-Citanna
Info -
Instructor:
Ivan Bakrac
Info - 3 points