SOCIAL IMPACT & PERFORMANCE MEASUREMENT

SOCIAL IMPACT & MEASUREME

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

• Department: Non Profit Management
• M 6:30 p.m.-8 p.m.
• Instructor: Jessie H Lee
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• 3 points

SCULPTURE I

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

INVESTMENT PLANNING

The Investment Planning course explores the essential principles of investing and how to apply them wisely as
wealth advisors. Students will examine how investment wisdom and theory has evolved – from the insights of
Benjamin Graham to Modern Portfolio Theory, the Capital Asset Pricing Model, factor-based investing and more --
and identify how these theories can be utilized as a framework for understanding and using investments of the present and future. Students will calculate and apply mathematical formulas to learn how to manage risk and return in investment portfolios. This course will compare and contrast each of the major asset classes, ranging from cash and near-cash investments to public and private equity, debt and alternative investments. Students will learn how to apply investment skills to deliver and demonstrate value to clients, net of fees and adjusted risk. In addition, this course will emphasize the parallel development of investment knowledge and communication and counseling skills to conduct investment relationships with clients effectively.

• Department: Wealth Management
• Instructor: Stephen Bodurtha
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• 3 points

POETRY WORKSHOP

• Department: Writing
• W 9:30 a.m.-12:30 p.m.
• Instructor: Lynn Melnick
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• Instructor: Deborah Paredez
  CULPA: 3 Wikipedia Info
• Instructor: Lynn Xu
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• 6 points

Topics in Math Genomics - Applications

This course will provide an in-depth discussion of state-of-the-art methodological concepts and approaches for analysis of molecular data, with a focus on sequencing data. The course will touch upon a variety of topics related to computational genomics and biology, including mathematical modeling of infectious diseases, cancer genomics, and protein molecular modeling. The course will comprise of frontal and guest lectures, as well as presentation of research papers by students.

• Department: Cellular, Molecular, and Biophysical Studies
• T 1 p.m.-4 p.m.
• 3 points

SCULPTURE II

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Bat-Ami Rivlin
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• 3 points

SCULPTURE III

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Bat-Ami Rivlin
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• 3 points

DIGITAL WORKPLACE AND DIGITAL TRANSFORMA

DIGITAL WRKPLC & DGTL TRA

How do organizational leaders invest in digital technologies and capabilities to catalyze digital transformation? Moreover, how do corporations and institutions create an effective portfolio of digital investments that are aligned — continuously over time — with the organization’s mission and strategy? This course provides an introduction to digital transformation, and the modern (digital) “place” of work, such as intranets, search appliances, analytic dashboards, enterprise social media, mixed reality, and content management. Feeding the digital workplace are “sources of record,” including Enterprise Resource Planning (ERP), HR systems, Customer Relationship Management (CRM), IoT sensors, and digital marketing. Finally, we look at likely future scenarios for work and how organizations can prepare for digital transformation and beyond.

• Department: Information & Knowledge Strat
• R 8:10 p.m.-10 p.m.
• Instructor: Benjamin P Royce
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• 3 points

BUSINESS ANALYTICS

OVERVIEW: Business analytics (BA), in essence, is the discipline of using data analysis - ranging from simple descriptive statistics to advanced, AI-based predictions - to illuminate all quantitative aspects relevant to a specific organization, from its own performance, to the behavior of its customers, and challenges from competitors. This course covers the entire value chain of a BA process, including formulating the question, collecting and managing the relevant data, analyzing said data to answer the question, and finally effectively communicating the results (e.g., data visualization) to stakeholders. While the course teaches some hands-on data analysis/statistics (e.g., database structures, conditional averages, correlations, confidence intervals), the emphasis of the course is on educating users and managers of BA, and as such includes stakeholder engagement and implementation planning.

CONTENT: Following an introduction to the history of BA, weekly lectures and associated assignments (some spreadsheet-based, others in essay format) teach all above elements of the BA value chain one by one. Accompanying readings cover academic foundations and practitioner commentary, from Alan Turing's work (1912-1952) to latest advances in quantum computing. A short individual presentation and a group white paper allow students to combine and hone the various acquired skills in an end-end application. As an overarching objective, upon successful completion of the course, students will be able to devise and "pitch" an innovate BA process to an organization, including strategic recommendations on its business value and implementation.

LOGISTICS: Required course for IKNS students, open to all Columbia University graduate students; no prerequisites other than beginner's familiarity with spreadsheet software and simple statistics (e.g., average, error margin). Online course meets once a week (live via zoom) for the duration of the semester.

• Department: Information & Knowledge Strat
• W 6:10 p.m.-8 p.m.
• Instructor: Christoph J Meinrenken
  h-index: 15 Info
• 3 points

ROLE OF THE PRODUCER

• Department: Film
• W 9:30 a.m.-12:30 p.m.
• Instructor: Jack Lechner
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• 1.5 points

SQL

SQL & RELATIONAL DB

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Day Yi
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• Instructor: Michael J Coakley
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• 3 points

SQL

SQL & RELATIONAL DB ONLINE

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

ETHICAL DECISION MAKING FOR COMMUNICATOR

• Department: Strategic Communication
• W 7:10 p.m.-9 p.m.
• Instructor: Frank J Oswald
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• 3 points

GLOBAL CHALLENGES AND THE COMMON GOOD

GLOBAL CHAL & THE COMMON

This dual course is part of a partnership between Sciences Po and Columbia University.  It brings together students from both institutions into a virtual environment to learn together from multiple perspectives in an English language course. In an era of unprecedented wealth, technological advancement, and global interdependence, we find ourselves confronted with global problems in which the different sectors (government, nonprofit and for profit) cannot adequately address broad societal issues on their own.  What is needed is a cross-sectoral approach that recognizes the importance of a shared sense of the common good. Students will analyze how the pursuit of the common good requires addressing public attitudes, policy frameworks and institutional forms that shape the outcomes of critical societal issues.  

The sessions will be divided into two main blocks. The first part (five sessions) will provide the students with a solid theoretical and conceptual background to a cross-sectoral and transnational notion of the common good, its actors and their role in the social change landscape. A special focus will be placed on those organizations at the intersection of the nonprofit and for-profit sectors, including hybrid organizations, B Corporations, corporate social responsibility efforts as well as nonprofit organizations and philanthropists.  The second part of the course focuses on in-depth analysis of the difficulty of addressing truly global challenges because of different cross-cultural understanding and interests among various institutional actors. This part of the course focuses topically on 1) racial and social justice and 2) climate change and the environment.  Each will include a definition of the problem, a simulation, and a discussion of practical steps to advance better outcomes. 

Key to this dual course will be the use of cross geographical and cross-cultural examples. Interactive working group activities, simulations and group research work will be programmed through the sessions integrating Sciences Po and Columbia members in teams. Given the nature of the dual course it will be 100% virtual.  This course will especially appeal to students interested in social change, global movements, and experience working with teams situated on different continents.  This is an elective course with no prerequisites.

• Department: Non Profit Management
• M 11:10 a.m.-1 p.m.
• Instructor: Gregory Witkowski
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• 3 points

INTRODUCTION TO PHILOSOPHICAL BIOETHICS

PHIL OF BIOETHICS (ONLINE)

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
• T 3:45 p.m.-5:45 p.m.
• Instructor: Arthur Kuflik
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• 3 points

STRATEGIC RISK MANAGEMENT

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

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• M 4:10 p.m.-6 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: H.S. Bob Kostakopoulos
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• Instructor: Violet Diamant
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• Instructor: Raj Mittal
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• Instructor: Yvonne Pytlik
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• Instructor: Carlo Di Florio
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• 3 points

NONPROFIT FINANCIAL MANAGEMENT

NONPROFIT FINANCIAL MGMT

This course provides a comprehensive set of financial management tools for nonprofit professionals, including managers and staff, whether they oversee financial statements and reporting or need to translate financial statements and reporting across stakeholders. This course emphasizes the requirements for nonprofits in recording and budgeting the financials to support the organization’s mission. Additionally, the course will provide students with the ability to analyze financial statements and answer financial questions typically asked by stakeholders such as the governing board, donors, the public, beneficiaries, media, and regulators. Finally, the course will identify the risks and opportunities found in an organization's financial information to increase the public's confidence in and understanding of the organization's mission and operations.

• Department: Non Profit Management
• T 4:10 p.m.-6 p.m.
• T 6:30 p.m.-8 p.m.
• Instructor: Odell Mays
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• Instructor: Christopher Gu
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• 3 points

SOCCER ANALYTICS

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

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

LAW & BIOETHICS

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

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

• Department: Bioethics
• F 9 a.m.-11 a.m.
• Instructor: David N Hoffman
  h-index: 2 Info
• 3 points

LAW & BIOETHICS

LAW & BIOETHICS (ONLINE)

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
• T 8 p.m.-10 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 7:10 p.m.-9 p.m.
• Instructor: Lilian Ore
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• 3 points

SPORTS ENTREPRENEURSHIP

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Grant J Son
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• 3 points

DEI in Nonprofits: Leading Inclusive Org

DEIA AT WORK

Knowledge and experience in the practice of DEIA has become a key requirement for managers and leaders. This course prepares students to manage and lead the practice of DEIA in core business functions, as directors of DEIA offices/initiatives or as DEIA champions within their organizations. It will equip students with an understanding of the advantages and challenges of leading diverse teams and will provide the knowledge, critical analysis, and practical tools required to lead inclusive organizations. It provides a framework and strategic foundation for driving an organization through the stages of gaining awareness about DEIA, practicing DEIA, and amplifying the work of equity and inclusion beyond the workplace. Students will be expected to participate in class discussions and will work on diverse teams to develop a DEIA organizational strategy.

• Department: Non Profit Management
• T 6:10 p.m.-8 p.m.
• Instructor: Erwin Vincent S de Leon
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• 3 points

DIGITAL PRODUCT INNOVATION & ENTREPRENEU

DGTL PROD INNOV & ENTRPRN

Digital Product Innovation and Entrepreneurship aims to provide students with the knowledge and expertise in innovation and new product development required to create, test, and launch a new digital product. In this course, students will undertake the following: perform a competitive analysis, investigate novel knowledge-based digital products, gather user requirements, validate the feasibility of proposed products, devise a go-to-market strategy, construct a financial plan, develop a high-fidelity digital product prototype, and pitch their business idea to a panel of venture capitalists. Students can expect to engage in a fast-paced, rigorously hands-on curriculum focused on developing a pre-revenue business.

The exponential increase in data and information, coupled with the combination of increasingly potent analytics and natural language processing platforms, AI, and LLMs, provides entrepreneurs with tremendous opportunities to bring innovative, customer-focused digital products to market. While there are no direct paths to bring a new product idea to market successfully, the application of the lean startup methodology provides a well-tested path from idea to profit.

• Department: Information & Knowledge Strat
• T 8:10 p.m.-10 p.m.
• Instructor: Ralph Poole
  h-index: 0 Info
• 3 points

REPRODUCTIVE ETHICS

• Department: Bioethics
• R 12:30 p.m.-2:30 p.m.
• Instructor: Arthur Kuflik
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• 3 points

OPERATIONAL RISK MANAGEMENT

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

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Francis Tobin
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• Instructor: Penny Cagan
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• Instructor: Mark Jankiewicz
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• Instructor: Penny Cagan
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• Instructor: Saba Zahid
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• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

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

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: David Weltz
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• Instructor: Arun B Venkatarangan
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• Instructor: Michael Ding
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• 3 points

WRITING NARRATIVE MEDICINE

• Department: Narrative Medicine
• M 1:10 p.m.-3 p.m.
• Instructor: Catherine G Rogers
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• 3 points

FUNDAMENTALS OF SPORTS ANALYTICS

• Department: Sports Management
• M 6:10 p.m.-8 p.m.
• Instructor: Joanna Levy
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• 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
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: David Weltz
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• Instructor: Marcus Eich
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• 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
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Ben Steiner
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• Instructor: Justin Hon
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• Instructor: Igor Axenov
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• Instructor: Zaur Nurtazin
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• Instructor: David J Romoff
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• Instructor: Fabrice Fiol
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• 3 points

MATH MTHDS-FIN PRICE ANALYSIS

Course covers modern statistical and physical methods of analysis and prediction of financial price data. Methods from statistics, physics and econometrics will be presented with the goal to create and analyze different quantitative investment models.

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

SPORT ACCOUNTING & FINANCE

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Destinee Coles
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• 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
• M 6:10 p.m.-8 p.m.
• 3 points

INTRODUCTION TO PLANNED GIVING

• Department: Non Profit Management
• T 6:10 p.m.-8 p.m.
• Instructor: Neal Myerberg
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• 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 8:10 p.m.-10 p.m.
• Instructor: Melissa Miller
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• 3 points

MULTI-ASSET PORTFOLIO MGMT

The course will cover practical issues such as: how to select an investment universe and instruments, derive long term risk/return forecasts, create tactical models, construct and implement an efficient portfolio,to take into account constraints and transaction costs, measure and manage portfolio risk, and analyze the performance of the total portfolio.

• Department: Mathematics
• MW 6:10 p.m.-7:25 p.m.
• 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.
• M 8:10 p.m.-10 p.m.
• Instructor: Rahmi E Aktug
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• Instructor: Weijun Weng
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• 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: Thomas W Watson
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• 3 points

SPORTS REVENUES STRATEGIES & ANALYSIS

Digital, social, and mobile media continue to heavily impact every aspect of sports business, often in profound and unanticipated ways, particularly in managing and optimizing revenue streams. All revenue line items are fully intertwined and integrated with each other, media, sponsorship, ticketing, hospitality, concessions and licensing, etc. Students of this course will learn to analyze and optimize the ecosystem of sports business including content rights, ticketing, sponsorship, merchandising, marketing, etc., as well as make business analytics decisions by leveraging business analytics software to run scenario analysis.

• Department: Sports Management
• M 8:10 p.m.-10 p.m.
• Instructor: Ishwara Glassman Chrein
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• 3 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: 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
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 1 points

MANAGING DATA

• Department: Applied Analytics
• R 8:10 a.m.-10 a.m.
• T 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• S 12:10 p.m.-2 p.m.
• F 12:10 p.m.-2 p.m.
• T 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Amreeta Choudhury
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• Instructor: Mohsen Golalikhani
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• Instructor: Devarshi Ghoshal
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• Instructor: Nitinchandra Nayak
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• Instructor: Darshan Desai
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• Instructor: Nitinchandra Nayak
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• Instructor: Constantine Christakos
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• Instructor: Javid B Huseynov
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• Instructor: Arash Khatibi
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• 3 points

MANAGING DATA

MANAGING DATA ONLINE

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Mohamed Mneimneh
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• Instructor: Robert Simione
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• 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
• W 2 p.m.-4 p.m.
• R 9:30 a.m.-11:30 a.m.
• Instructor: Barbra Rothschild
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• 3 points

RESEARCH SEMINAR IN HIST

This seminar is a step-by-step introduction to scholarly research in the field of History and Literature. In the course of the seminar, students will carry out the initial research and draft the prospectus for their MA thesis.

• Department: French
• Instructor: Dorothea von Muecke
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• 3 points

OPERATIONS: BACKBONE OF THE COMPANY

OPERATIONS: BACKBONE OF C

• Department: Insurance Management
• Instructor: Marguerite Demartino
  Info
• 3 points

TAX PLANNING

The Tax Planning course explores the various methods of the U.S. tax system, its development, its applicability to individual (and corporate) taxpayers, and steps taxpayers of various income and wealth levels take to determine,
meet, and minimize their tax obligations, depending on their goals. Students will learn how to identify sources, nature, and taxability of taxpayers’ income and gains, to determine the deductibility of any expenses they incur to reduce income, identify credits they may have to offset taxes due, understand filing and payment obligations, and apply the methods of minimizing tax - avoidance, deferral, and use of lower brackets or realization by other taxpayers.

• Department: Wealth Management
• Instructor: Jordan A Sprechman
  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
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Zwecher
  Info
• 3 points

PRACTICAL PRODUCTION II

• Department: Film
• F 9 a.m.-11 a.m.
• F 11 a.m.-1 p.m.
• F 1 p.m.-3 p.m.
• Instructor: Maureen A Ryan
  Info
• 1.5 points

LEADERSHIP IN SPORTS MANAGEMENT

LDRSHP & PERS MGMT IN SPR

TBA

• Department: Sports Management
• R 2:10 p.m.-4 p.m.
• R 6:10 p.m.-8 p.m.
• 3 points

LEADERSHIP IN SPORTS MANAGEMENT

TBA

• Department: Sports Management
• T 8:10 p.m.-10 p.m.
• M 4:10 p.m.-6 p.m.
• Instructor: Mary Wittenberg
  Info
• Instructor: Leonard Elmore
  Info
• 3 points

ECONOMETRICS II

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

Printmaking on, through, and below the m

Print on, through, & belo

This course offers to the student who may find an examination of printmaking an asset to their art practice.
The course will cover several printmaking processes like relief, intaglio, silkscreen, and monotype. In addition, we will discuss printmaking concepts such as repetition, matrix, original/translation, reproducibility, and multiple considering the works produced in class.
We will involve a separate in-depth study of each process by alternating studio time, demonstrations, field trips, individual and group critiques.
Through the printmaking processes, students will explore assignments and projects and be encouraged to incorporate them into their own body of work.

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Craig Zammiello
  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
• TR 7:40 p.m.-8:55 p.m.
• Instructor: Justin Clarke-Doane
  h-index: 10 Info
• 4 points

ANOMALY DETECTION

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

PRINTMAKING I: INTAGLIO

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

Tech Arts: Post Production II

Tech Arts: Post Production II continues teaching the core techniques for picture and sound editing and the post production workflow process for Columbia Film MFA students. We will cover preparing for a long-form edit, digital script integration, color management and continuity, advanced trimming, and advanced finishing. The hands-on lessons and exercises will be conducted using the industry-standard Non-Linear Editing Systems, Avid Media Composer, and Davinci Resolve. Each week’s class will consist of hands-on demonstrations and self-paced practice using content created by the students and provided by the program.

• Department: Film
• R 10 a.m.-1 p.m.
• Instructor: Michael J Cacioppo Belantara
  Info
• 1.5 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLIED TXT & NAT LANG AN

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

GLOBAL ETHICS

Increasingly, issues of medical research and clinical care are posing complex ethical issues not only in the United States, but in other countries in both the industrialized and the developing world. Yet varying economic, political, social, cultural, and historical contexts shape these issues. In diverse contexts in Asia, Africa, Europe and North and South America, practices and policies, along with cultures and moral values, differ enormously. Yet ethical issues are arising not in isolation, but as part of global communities and discourses. In research, multinational pharmaceutical companies are increasingly conducting studies in both industrialized countries and the developing world, posing numerous ethical tensions. In clinical care, uses of reproductive technologies differ across national borders, leading to “reproductive tourism”. End of life care varies widely, reflecting in part differing attitudes toward death and dying. This course examines the political, economic, social, cultural, philosophical, medical, and historical roots and implications of these issues.

The course meets once a week online for an hour and a half, and offers extensive live-session interaction and post-session discussion forums to explore the various bioethical issues contemplated throughout the semester.

• Department: Bioethics
• R 4:10 p.m.-6 p.m.
• T 6 p.m.-7:45 p.m.
• Instructor: Robert L Klitzman
  Wikipedia 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
• W 8:10 p.m.-10 p.m.
• Instructor: Ivan Bakrac
  Info
• 3 points