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.
• W 5:30 p.m.-7:30 p.m.
• Instructor: David N Hoffman
  h-index: 2 Info
• 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.
• W 8:10 p.m.-10 p.m.
• Instructor: Lilian Ore
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• Instructor: Mariana Y Pinos
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• 3 points

Real Estate Finance

• Department: Finance
• Instructor: Faculty
  h-index: 37 Info
• 3 points

SPORTS ENTREPRENEURSHIP

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

LEADING COLLABORATION

This course is offered both in an online (synchronous) format as well as in an in-person format. 

OVERVIEW

Leading Collaboration explores how individuals, teams, and organizations can work across differences, boundaries, and systems to achieve shared goals. In a world where knowledge is increasingly distributed across teams, organizations, and global networks, the ability to lead collaboration is essential for innovation, productivity, and meaningful change. The course’s central learning objective is to help students understand the conditions that enable effective collaboration and develop the practical skills and self-awareness to lead it.

COURSE
 CONTENT

Drawing on anthropology, neuroscience, sociology, and psychology, the course examines collaboration as a discipline in its own right. Students explore the roots of collaboration in human history and social learning, as well as the barriers that can undermine it, including silos, power dynamics, mistrust, unclear goals, competing incentives, and ineffective communication.

The course then turns to the practice of leading collaboration: dialogue and facilitation; psychological safety; group decision-making; organizational culture; management and project structures; change leadership; knowledge networks; strategic alliances; technology-enabled collaboration; and collaboration across cultures and global systems. Students will consider collaboration through the perspectives of both leaders and followers, with attention to how influence, accountability, and shared ownership shape collective action.

Learning takes place through interactive discussion, short presentations, case-based analysis, collaborative problem-solving exercises, and structured reflection. Students complete a group collaborative problem-solving exercise, an independent literature research project, and an ongoing reflective journal. These assignments build theoretical fluency while helping students apply course concepts to their own organizations, communities, and circles of influence.

LOGISTICS

This graduate-level required course is designed for students in Information & Knowledge Strategy but is open to other students at Columbia University. The course is offered in two modalities: an in-person, campu

• Department: Information & Knowledge Strat
• T 6:10 p.m.-8 p.m.
• Instructor: Supriya Jha
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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
• M 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Rossano Rossi
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• Instructor: Francis Tobin
  Info
• Instructor: Chris Lee
  Info
• Instructor: Nabeed Zaman
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• Instructor: Mark Jankiewicz
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• Instructor: Nabeed Zaman
  Info
• 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
• R 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• W 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: David J Romoff
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• Instructor: Sophia Lim
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• Instructor: Sudeep Lahiri
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• Instructor: Oleksandra V Lyulko
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• Instructor: Eric Tam
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• Instructor: Sophia Lim
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• Instructor: David J Romoff
  Info
• 3 points

FUNDAMENTALS OF SPORTS ANALYTICS

STATISTICS

• Department: Sports Management
• W 8:10 p.m.-10 p.m.
• 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
• R 4:10 p.m.-6 p.m.
• Instructor: David S Goldberg
  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: Auditing
• R 4:10 p.m.-6 p.m.
• Instructor: David S Goldberg
  Info
• 0 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
• W 6:10 p.m.-8 p.m.
• Instructor: Blake Dicosola
  Info
• Instructor: Jamie Muskopf
  Info
• 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
• W 6:10 p.m.-8 p.m.
• Instructor: David Weltz
  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: Auditing
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: David Weltz
  Info
• Instructor: Zaur Nurtaza
  Info
• 0 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
• T 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Marcus Eich
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• Instructor: Justin Hon
  Info
• 3 points

SPORT ACCOUNTING & FINANCE

SPORT ACCTG & FINANCE

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• 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
• F 2:10 p.m.-4 p.m.
• Instructor: Sally Yerkovich
  Info
• 3 points

HOPE, MEANING AND ETHICS IN CLINICAL CAR

• Department: Bioethics
• M 12:10 p.m.-2 p.m.
• 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
• W 6:10 p.m.-8 p.m.
• Instructor: Qingji Yang
  Info
• 3 points

BASEBALL ANALYTICS

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• 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
• R 6:10 p.m.-8 p.m.
• 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
• Instructor: Joseph H Eveld
  Info
• 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
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• 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
• W 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Christakis Droussiotis
  Info
• Instructor: Sudeep Arora
  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
• R 8:10 p.m.-10 p.m.
• 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
• W 6:10 p.m.-8 p.m.
• Instructor: Lonni Ryan
  Info
• 3 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
• W 4:10 p.m.-5:25 p.m.
• F 1:10 p.m.-3:40 p.m.
• Instructor: Banu Baydil
  CULPA: 10 Info
• 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
• Instructor: Gabriel Young
  CULPA: 7 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
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 1 points

FUNDAMENTALS OF DATA ENGINEERING

FUNDAMENTALS OF DATA ENGINEERING

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• S 12:10 p.m.-2 p.m.
• F 10:10 a.m.-noon
• T 6:10 p.m.-8 p.m.
• T 8:10 a.m.-10 a.m.
• S 10:10 a.m.-noon
• M 6:10 p.m.-8 p.m.
• Instructor: Javid B Huseynov
  Info
• Instructor: Darshan Desai
  Info
• Instructor: Amreeta Choudhury
  Info
• Instructor: Arash Khatibi
  Info
• Instructor: Robert Simione
  Info
• Instructor: Samar Deen
  Info
• Instructor: Nitinchandra Nayak
  Info
• 3 points

FUNDAMENTALS OF DATA ENGINEERING

FUND OF DATA ENG ONLINE

FUNDAMENTALS OF DATA ENGINEERING

• Department: Applied Analytics
• F 8:10 a.m.-10 a.m.
• 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
• T 3:45 p.m.-5:45 p.m.
• M 8 p.m.-10 p.m.
• W 5:30 p.m.-7:30 p.m.
• Instructor: Barbra Rothschild
  Info
• 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
• F 10 a.m.-1 p.m.
• 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
• F 6 p.m.-8:10 p.m.
• 3 points

MATH METHODS FOR ECONOMISTS

• Department: Economics
• MW 11:40 a.m.-12:55 p.m.
• 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
• W 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Zwecher
  Info
• Instructor: Deniz Ozenbas
  Info
• 3 points

ECONOMETRICS I

• Department: Economics
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Seyhan Erden
  CULPA: 7 Info
• 3 points

PRINTMAKING:DRAWING INTO PRINT

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Tomas Vu Daniel
  CULPA: 4 Info
• 3 points

ADVANCED ECONOMETRICS

• Department: Economics
• M 12:10 p.m.-2 p.m.
• Instructor: Serguei Maliar
  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
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Tamar A Lando
  CULPA: 8 Info
• 4 points

ANOMALY DETECTION

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Christopher Kuo
  Info
• 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
• W 8:10 p.m.-10 p.m.
• Instructor: Christopher Mann
  Info
• 3 points

TECH ARTS:POST PRODUCTION

TECH ARTS: POST-PRODUCTION

Tech Arts: Post Production delivers a practical introduction to modern post production workflows. The course will cover the process of moving efficiently from production to post production, the techniques of non-linear editing and ultimately the process of professionally finishing a film for modern distribution. Students will learn foundational post terminology, how to create the best workflow for your film, how to manage data/footage in the edit room, and offline and online editing.  Additionally, the class will explore other key steps in the post production process including audio syncing, transcoding, exporting and mastering.  The hands-on lessons and exercises will be conducted using the industry-standard non-linear editing system (NLE), Avid Media Composer, and will serve as a primer for other professional systems, including Adobe Premiere and Davinci Resolve.  Students will also learn about Columbia Film’s shared storage system and cloud editing systems, Avid Nexis and Avid Media Central. The course is necessary and required for Columbia Film MFA students as it prepares them for post production, an unavoidable component of the most essential part of the Film MFA, filmmaking.

• Department: Film
• R 10 a.m.-1 p.m.
• Instructor: Jamie Kirkpatrick
  Info
• 0 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
• S 10:10 a.m.-noon
• Instructor: Amal Moussa
  h-index: 7 Info
• 3 points

QUALITATIVE EVALUATION METHODS FOR NARRA

QUALTV EVALUATION METHODS

TBA

• Department: Narrative Medicine
• Instructor: Sara S Kohrt
  Info
• Instructor: Deborah Starr
  Info
• 3 points

PRINTMAKING I: INTAGLIO

• Department: Visual Arts
• MW 2:30 p.m.-5 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

PRINTMAKING II: INTAGLIO

• Department: Visual Arts
• MW 2:30 p.m.-5 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLIED TXT & NAT LANG AN

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Petros Zerfos
  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
• T 6:10 p.m.-8 p.m.
• Instructor: Joseph Dziwura
  Info
• 3 points

TECH ARTS

TECH ARTS: CAMERA & LENSES

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Gregg L Conde
  Info
• 0 points

TECH ARTS

TECH ARTS: GRIP & ELECTRIC

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• M 6 p.m.-9 p.m.
• Instructor: Matthew D Farrell
  Info
• 0 points

TECH ARTS

TECH ARTS: CINEMA AUDIO

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• T 6 p.m.-9 p.m.
• Instructor: Sean O'Neil
  Info
• 0 points

TECH ARTS

TECH ARTS: CAMERA & LENSES

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Gregg L Conde
  Info
• 0 points

TECH ARTS

TECH ARTS: GRIP & ELECTRIC

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• M 6 p.m.-9 p.m.
• Instructor: Matthew D Farrell
  Info
• 0 points

TECH ARTS

TECH ARTS: CINEMA AUDIO

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• T 6 p.m.-9 p.m.
• Instructor: Sean O'Neil
  Info
• 0 points

WRITING CREATIVELY: CRAFT LAB & WORKSHOP

• Department: Narrative Medicine
• Instructor: Lynne B Mijangos
  Info
• 3 points

PRINTMAKING I: RELIEF

• Department: Visual Arts
• MW 9:30 a.m.-noon
• Instructor: Nathan N Catlin
  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
• F 12:10 p.m.-2 p.m.
• Instructor: William G Ritter
  Info
• 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
• T 6:10 p.m.-8 p.m.
• 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
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Bhavna Sethi
  Info
• Instructor: Claire Husson-Citanna
  Info
• Instructor: Ivan Bakrac
  Info
• 3 points

PRINTMAKING I: SILKSCREEN

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• Instructor: Garrett S Ball
  Info
• 3 points

PRINTMAKING II: SILKSCREEN

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• Instructor: Garrett S Ball
  Info
• 3 points

ORGANIZATIONAL ETHICS AND COMPLIANCE

ORGANIZATIONAL ETHICS & C

This course will explore the influence of institutional policies on the ethical practices of clinicians, researchers, and healthcare administrators. We will examine the ways in which rules and practices related to operational and financial performance shape the ability of practitioners, advocates for patients/research participants, and the public to advance organizational goals. We will evaluate internal and external sources of institutional direction and values. The exercise of authority by different stakeholders produces a cumulative impact on organizational ethics and compliance. At the end of the course students will have a working knowledge of the various institutional influences that impact the sometimes-conflicting obligations of compliance with financial regulations and clinical performance improvement.

• Department: Bioethics
• W 3 p.m.-5 p.m.
• Instructor: David N Hoffman
  h-index: 2 Info
• 3 points

IMPACT FINANCE FOR SUSTAINABILITY PRACTI

IMPACT FINANCE FOR SUST PRACT

This survey course examines a range of sustainable and impact investing fixed income and equity products

before transitioning to the asset owner perspective on sustainable and impact investing. Each class session

includes elements of financial analysis, financial structure, social or environmental impact, and policy and

regulatory context. Brief guest lectures, podcasts, and three experiential exercises bring these topics to life.

At the end of the course, each student will be able to (i) construct a diversified portfolio of impact

investments based on the range of products tackled in class, (ii) integrate ESG into debt and equity valuation,

(iii) develop an impact investing product that an asset manager or investment bank could launch, (iv) develop

an impact investing strategy for an asset owner, and (v) lead either side of the investor-corporate dialogue on

sustainability. The lectures are designed to prepare students for both the impact investing product

development exercise and the impact investing asset owner strategy exercise, and these two exercises are

designed to prepare students for impact investing leadership over the course of their careers.

As an early innovator in social finance, dating back 24 years, the instructor provides students with a practical

toolkit, honed by making mainstream financial institutions and products more beneficial to a broader range

of stakeholders and making specialist impact investment firms more relevant to and integrated with

mainstream markets.

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• Instructor: Bhakti Mirchandani
  Info
• 3 points