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.
This course provides an overview of the way sustainability (environmental, social and governance) factors are analyzed in private markets. It focuses on preparing students to implement their understanding of the financial and societal risks and opportunities within the investment making process. In private markets, limited partners (pension funds, endowments, high net-worth individuals) have pushed the sustainability imperative and social consciousness of private equity funds and asset managers by seeking greater clarity around how their money is invested in both a responsible and financially meaningful way. Alongside this trend, an evolving regulatory environment globally has propelled the need to systemize evaluation frameworks for stakeholders within investment functions and advisors who support them.Unlike public markets, sustainability information is harder to glean in private markets and requires a skilled extraction and evaluation process. During this course, we examine a traditional ESG due diligence process embedded within the wider investment lifecycle (sourcing, diligence, hold and exit) through the lens of changing geographic regulatory landscape in financial investing and the market leading frameworks that quantify ESG factors for evaluation. The course culminates with a deal due diligence process that mimics an investment committee (IC) comprised of private equity leaders that understand the commercial and purpose-driven viability of an investment.
Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.
This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al. Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.
The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.
The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.
This course uses a combination of lectures and case studies to introduce students to the modern credit analytics. The objective for the course is to cover major analytic concepts, ideas with a focus on the underlying mathematics used in both credit risk management and credit valuation. We will start from an empirical analysis of default probabilities (or PD), recovery rates and rating transitions. Then we will introduce the essential concepts of survival analysis as a scientific way to study default. For credit portfolio we will study and compare different approaches such as CreditPortfolio View, CreditRisk+ as well as copula function approach. For valuation we will cover both single name and portfolio models.
In today’s digital age, with the collection and usage of personal information growing at an exponential rate, the study of privacy risk management is crucial. As organizations grapple with the dual challenge of monetizing technological innovation without running afoul of regulatory and legal restrictions, the ERM professional who understands how to identify, assess, and manage privacy risk is in high demand. In this course, students will develop an understanding of the legal frameworks governing data usage, the ethical issues associated with the use of personal information, and how to develop robust privacy frameworks and controls in order to manage privacy risk.
The objective of this course is to introduce students to interest rates models and to build step by step a coherent understanding of the interest rates world, from the stripping of a yield curve to the modern frameworks of option pricing. Adopting a practitioner’s perspective, it will put an emphasis on building a strong intuition on the products and models, and will adopt a balanced approach between formal derivation and concrete applications.
TBD
Throughout history, societies have discovered resources, designed and developed them into textiles,
tools and structures, and bartered and exchanged these goods based on their respective values.
Economies emerged, driven by each society’s needs and limited by the resources and technology
available to them. Over the last two centuries, global development accelerated due in large part to the
overextraction and use of finite resources, whether for energy or materials, and supported by vast
technological advancements. However, this economic model did not account for the long-term impacts of
the disposal or depletion of these finite resources and instead, carried on unreservedly in a “take-make’-
waste” manner, otherwise known as a linear economy. Despite a more profound understanding of our
planet’s available resources, the environmental impact of disposal and depletion, and the technological
advancements of the last several decades, the economic heritage of the last two centuries persists today;
which begs the question: what alternatives are there to a linear economy?
The premise of this course is that through systems-thinking, interdisciplinary solutions for an alternative
economic future are available to us. By looking at resources’ potential, we can shape alternative methods
of procurement, design, application, and create new market demands that aim to keep materials,
products and components in rotation at their highest utility and value. This elective course will delve into
both the theory of a circular economy - which would be a state of complete systemic regeneration and
restoration as well as an optimized use of resources and zero waste - and the practical applications
required in order to achieve this economic model. Achieving perfect circularity represents potentially
transformative systemic change and requires a fundamental re-think of many of our current economic
structures, systems and processes.
This is a full-semester elective course which is designed to create awareness among sustainability
leaders that those structures, systems and processes which exist today are not those which will carry us
(as rapidly as we need) into a more sustaining future. The class will be comprised of a series of lectures,
supported by readings and case-studies on business models, design thinking and materi
Market research is the way that companies identify, understand and develop the target market for their products. It is an important component of business strategy, and it draws on the research and analytics skills you have learned thus far in the program. Often market research consists of generating your own data, through quantitative and qualitative methodologies, in pursuit of the market research question.
This course is an elective that will expand on quantitative and qualitative methodologies that have been introduced previously, provide an introduction to other methodologies that are more specific to market research, and provide hands-on practice in defining a market research plan from start to finish. Students will also learn about particular types of market research studies and when and how they should be deployed. Students will generate and test their own research instruments. Through the use of case studies and simulations, students will learn how market research fits into an overarching marketing plan for a company.
This course is designed for students who have completed the Research Design and Strategy and Analytics core courses, and who are exploring how research fits into product marketing. You will leave this class understanding the essential aspects of market research, when and how they should be deployed, and the role you could play in small and large companies directing and executing on market research opportunities.
Infectious disease pandemics have emerged with often devastating morbidity and mortality since the beginning of recorded history. In the current era, COVID-19 has provided a multitude of examples of bioethical questions and challenges, including government preparedness, drug and vaccine development and legal approval, sufficient efficacy of prevention and treatment, resource allocation, and what information people give credibility to and which determine their behaviors. While COVID-19 was unique, many of the bioethical and policy concerns had precedent.
This course will explore examples of how bioethical and policy decision-making can have different effectiveness in the context of modern pandemics, although illustrative and unique aspects of some pre-19th century and multi-era pandemics will be examined. Modules will explore how ethical, policy, legal and social challenges are responded to in the context of different pandemics and how they differ from similar decisions and processes in “peace time”. Bioethic
s
and related policy responses predictably arise before, during and in the aftermath of a pandemic.
In addition to bioethical concerns, including social justice, pandemic response raises policy, legal and social challenges, including: individual preference versus societal benefit, risk and opinion of individual harms, and changes in local and national laws. Policy response occurs at every level of government and within institutions: international organizations such as the World Health Organization and the World Organization for Animal Health (WHO, WOAH), national governments, state and local governments, health care and other institutions, healthcare providers and others. The impact of misinformation and disinformation on personal and political decision making will also be explored.
Gender and Communication in the Workplace offers professionals across sectors and industries the knowledge and skills needed to identify the social and linguistic practices enacted at work, and the opportunity to advance the interests of those who run up against barriers to advancement as a result of prejudice and stereotyping.
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Students conduct research related to biotechnology under the sponsorship of a mentor within the University. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
Students conduct research related to biotechnology under the sponsorship of a mentor within the University. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
This course focuses on the necessary and often undiscussed role of ethics and inclusivity in storytelling and story creation. This course will provide space, as requested by the students, faculty and staff, for facilitated discussion around narrative ownership, comedy, history of on-screen portrayals, intersectionality, the business of inclusion and other related topics so that students walk away with a personal inclusive storytelling plan and a greater level of cultural competency as they continue their creative journeys. The instructors are professionals in the entertainment space with deep knowledge and practical Equity, Diversity and Inclusion (EDI) experience.
Intro to Moving Image: Video, Film & Art is an introductory class on the production and editing of digital video. Designed as an intensive hands-on production/post-production workshop, the apprehension of technical and aesthetic skills in shooting, sound and editing will be emphasized. Assignments are developed to allow students to deepen their familiarity with the language of the moving image medium. Over the course of the term, the class will explore the language and syntax of the moving image, including fiction, documentary and experimental approaches. Importance will be placed on the decision making behind the production of a work; why it was conceived of, shot, and edited in a certain way. Class time will be divided between technical workshops, viewing and discussing films and videos by independent producers/artists and discussing and critiquing students projects. Readings will be assigned on technical, aesthetic and theoretical issues. Only one section offered per semester. If the class is full, please visit http://arts.columbia.edu/undergraduate-visual-arts-program.
Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html
Examination of areas critical to an organization’s success from strategic, operational, financial, and insurance perspectives, and examines why many companies fail in spite of the vast knowledge of factors driving success. Several case studies examined in depth.
Prerequisites: all 6 MAFN core courses, at least 6 credits of approved electives, and the instructors permission. See the MAFN website for details. This course provides an opportunity for MAFN students to engage in off-campus internships for academic credit that counts towards the degree. Graded by letter grade. Students need to secure an internship and get it approved by the instructor.
With an orientation more towards practical application, the intent of this course is to provide a strategic framework with which students can evaluate and understand the global financial services industry of both today and tomorrow. In this course we are defining global financial services as encompassing central banks, commercial and investment banks, asset/wealth management institutions and financial regulators. Via case studies, proprietary materials, class based problem solving exercises, and guest lectures, we will examine and discuss the i) current and future role of the major financial service participants, (ii) key drivers influencing an industry that has always been characterized by significant change (e.g., regulatory, technology, risk, globalization, and client needs), and (iii) challenges and opportunities facing today's financial services' CEOs post the 2008/09 financial crisis. Furthermore, this course is designed for students who want to be financial “architects and leaders”, not financial “technicians”.
This course examines post-financial crisis regulations including Basel III, Fundamental Review of the Trading Book (FRTB), Dodd-Frank Act, Supervision and Regulation Letter 11-7 (SR 11-7), and others. Case studies will explore the technical details of these new rules; and guest lectures from industry experts will bring the material to life. Areas of focus include: model risk management, stress testing, derivatives, and insurance. By the end of this course students will be able to:
Evaluate the purpose and limitations of risk regulations in finance.
Identify and communicate weaknesses in a financial firm.
Communicate with regulators.
Understand Recovery and Resolution Plans or “Living Wills” for a financial firm.
This course helps the students understand the job search process and develop the professional skills necessary for career advancement. The students will not only learn the best practices in all aspects of job-seeking but will also have a chance to practice their skills. Each class will be divided into two parts: a lecture and a workshop.
In addition, the students will get support from Teaching Assistants who will be available to guide and prepare the students for technical interviews.
ESG will be a driving force in risk management in upcoming years. ERM / Risk professionals need a solid understanding of emerging ESG trends and regulations and how they apply to day-to-day job responsibilities. The ESG and ERM course begins with an overview of the ESG landscape and framework. After a foundational understanding is established, the course focuses on incorporating ESG into enterprise risk management, including identification, quantification, decision making, and reporting of ESG-related risks.
TBA
This course explores financial derivatives across different asset classes with in-depth analysis of several popular trades including block trades, program trades, vanilla options, digital options, and variance swaps. Their dynamics and risks are explored through Monte Carlo simulation using Excel and Python. The daily decisions and tasks of a frontline risk manager are recreated and students have the opportunity to see which trades they would approve or reject. Students will gain a working knowledge of financial derivatives and acquire technical skills to answer complex questions on the trading floor.
Tools for Risk Management examines how risk technology platforms assess risks. These platforms gather, store, and analyze data; and transform that data to actionable information. This course explores how the platforms are implemented, customized, and evaluated. Topics include business requirements specification, data modeling, risk analytics and reporting, systems integration, regulatory issues, visualization, and change processes. Hands-on exercises using selected vendor tools will give students the opportunity to see what these tools can offer.
Equips students with the basics of risk measurement and simulation using a hands-on approach to ERM modeling. Using industry-standard simulation software, students build systems of risk drivers for finance and insurance companies. Topics include risk correlations, VaR and TVaR, capital modeling, capital allocation, and parameter, process, and model Risk. Students acquire both quantitative experience building models and qualitative appreciation for model weaknesses.
A study of financial, economic, and engineering disasters from a common systems engineering perspective, to better understand and model risk in complex process systems. Course topics will introduce process systems engineering concepts and tools such as digraphs, fault trees, probabilistic risk assessment, HAZOP, FMEA, etc., for modeling enterprise-wide risk. We will develop risk models and analyze them for real-life inspired examples and case studies. Several disaster case studies will also be discussed.
Students will learn how to better identify and manage a wide range of IT risks as well as better inform IT investment decisions that support the business strategy. Students will develop an instinct for where to look for technological risks, and how IT risks may be contributing factors toward key business risks. This course includes a review of IT risks, including those related to governance, general controls, compliance, cybersecurity, data privacy, and project management. Students will learn how to use a risk-based approach to identify and mitigate cybersecurity and privacy related risks and vulnerabilities. No prior experience or technical skills required to successfully complete this course.
Introductory course to analog photographic tools, techniques, and photo criticism. This class explores black & white, analog camera photography and darkroom processing and printing. Areascovered include camera operations, black and white darkroom work, 8x10 print production, and critique. With an emphasis on the student’s own creative practice, this course will explore the basics of photography and its history through regular shooting assignments, demonstrations, critique, lectures, and readings. No prior photography experience is required.
As far back as Walter Benjamin’s “work of art in the age of mechanical reproduction” (1935), photography has always been challenged by
mechanical means
of image processing. Photographers and Institutions have first resisted and then (mostly) embraced each of these changes. This class explores Artificial Intelligence Photography as the latest in a series of earthquakes in the history of the photographic image, accompanying the desires of business, globalization, and science. This class seeks an ethically guided, globally representative model for photography and artificial intelligence. Debates around authorship and creativity (e.g., Supreme Court case with Andy Warhol) now face a radically new context of an “authorless” photograph. As crowdsourced imagemaking begins, the bias of massive datasets have taken techno-utopians by surprise, underlining that the task of building an equitable image-bank of the world cannot be left to algorithms and entrepreneurs. This class will explore the ethics and aesthetics of Artificial Intelligence and Imagery. There will be equal emphasis on reading and writing papers, as there will be on learning new software and tools.
TBA
Through weekly readings, seminar discussions, and independent research, students will be immersed in the discourse, theoretical approaches, methods, and applications of Indigenous oral traditions and oral histories. Students will learn about the nature of oral traditions from multiple Indigenous perspectives; studying them as deeply grounded knowledge systems and world views connected to places and nations. The course will examine how colonialism has acted a great interrupter to the collective memory which is foundational to Indigenous oral traditions and nationhood. Finally, we will consider how contemporary anti-colonial Indigenous narratives are ‘remembering back’ by drawing upon and building from the stories that have (and have not) been passed down through the generations.
This class is about the physical infrastructure that determines the capacity and sustainability of cities. Integrated networks of transportation, water, waste, stormwater, energy, park, and communication infrastructure are required for land- and resource-efficient cities that can survive extreme weather. Yet we have been building too little, too slowly to maintain legacy systems, let alone to retrofit our cities with efficient, innovative infrastructure. Recent political breakthroughs have created federal investments and a once-in-a generation opportunity to shift our cities to low-carbon modes – if we adopt better approaches to project planning, funding, and delivering critical assets that include public-private partnerships.
This course is designed to create sustainability leaders who will build the cities of tomorrow, drawing on lessons from the instructor’s experience in developing sustainability policies and related capital programs, and by understanding and critiquing the full spectrum of infrastructure development in New York City and other major cities across the project life cycle, from planning to project delivery to asset management.
This class is about the physical infrastructure that determines the capacity and sustainability of cities. Integrated networks of transportation, water, waste, stormwater, energy, park, and communication infrastructure are required for land- and resource-efficient cities that can survive extreme weather. Yet we have been building too little, too slowly to maintain legacy systems, let alone to retrofit our cities with efficient, innovative infrastructure. Recent political breakthroughs have created federal investments and a once-in-a generation opportunity to shift our cities to low-carbon modes – if we adopt better approaches to project planning, funding, and delivering critical assets that include public-private partnerships.
This course is designed to create sustainability leaders who will build the cities of tomorrow, drawing on lessons from the instructor’s experience in developing sustainability policies and related capital programs, and by understanding and critiquing the full spectrum of infrastructure development in New York City and other major cities across the project life cycle, from planning to project delivery to asset management.
Since Walter Benjamin’s concept of “work of art in the age of mechanical reproduction” (1935), photography has been continuously changed by mechanical, and then digital, means of image capture and processing. This class explores the history of the image, as a global phenomenon that accompanied industrialization, conflict, racial reckonings, and decolonization. Students will study case studies, read critical essays, and get hands-on training in capture, workflow, editing, output, and display formats using digital equipment (e.g., DSLR camera) and software (e.g., Lightroom, Photoshop, Scanning Software). Students will complete weekly assignments, a midterm project, and a final project based on research and shooting assignments. No Prerequisites and no equipment needed. All enrolled students will be able to check out Canon EOS 5D DSLR Camera; receive an Adobe Creative Cloud license; and get access to Large Format Print service.
Prerequisites: (STAT GR5701) working knowledge of calculus and linear algebra (vectors and matrices), STAT GR5701 or equivalent, and familiarity with a programming language (e.g. R, Python) for statistical data analysis. In this course, we will systematically cover fundamentals of statistical inference and modeling, with special attention to models and methods that address practical data issues. The course will be focused on inference and modeling approaches such as the EM algorithm, MCMC methods and Bayesian modeling, linear regression models, generalized linear regression models, nonparametric regressions, and statistical computing. In addition, the course will provide introduction to statistical methods and modeling that addresses various practical issues such as design of experiments, analysis of time-dependent data, missing values, etc. Throughpout the course, real-data examples will be used in lecture discussion and homework problems. This course lays the statistical foundation for inference and modeling using data, preparing the MS in Data Science students, for other courses in machine learning, data mining and visualization.
Advanced analog photography & darkroom printing. Students will work with analog cameras and learn how to refine black-and-white printing techniques, produce larger prints, etc. Emphasis will be placed on the editing, sequencing, and display of images while cultivating a theoretical and historical context to situate the work. Students will engage with an array of photographic practices through presentations, critiques, guest artist lectures and printing assignments. This course will explore critical issues in contemporary photography and advanced camera and production techniques through regular shooting assignments, demonstrations, critique, lectures, readings, and field trips. Prerequisites:
Intro Darkroom Photography
(Columbia) or equivalent experience
This is only recitation for STAT GR5703. We are requesting 3 sections of recitation to align with the one section of 5703 being offered.
“It could have been otherwise.” -Noël Burch
With this brief yet generative statement from a foundational film theorist we are introduced to a major theme of this course, a graduate level seminar concerning the still-in-formation field of media archeology. Pursuing the material traces left by false starts, wrong moves, misbegotten speculation, and dead formats, this course will dig into the historical past in order to better understand our current media ecology, prepare for the computational future, and imagine how things could be otherwise. Archeology in this sense refers to the study of a technical object through investigating its origins (its arché), as a means of breaking down traditional linear accounts of history and reconstructing them along new, more lacunary, less teleological lines. This will be our goal. We will be introduced to media archeology as both a method and an aesthetics. Our approach will look for the old in the new and the new in the old, while locating recurring topoi, ruptures, and discontinuities. Marking a departure from more hermeneutical, text-based film and media studies models, we will instead focus on questions of hardware, materiality, and physical inscription—technological research that sticks close to the signal of mediatic events, close to the metal, close to the silicon. We will perform close reading and thick description, as in established humanities disciplines like literary studies and anthropology, but with radically different, non-phenomenological, non-discursive object formations. Topics we will consider include, for example, analog waveforms and digital pulses, mathematical versus narrative modes of epistemology, and what Thomas Elsaesser calls a “poetics of obsolescence.” Our readings will draw from the corpus of media archeology studies as well as consonant fields such as material culture studies, computer engineering, and the history of science.
This course will provide students with an understanding of the ways and extent to which climate change law and policy is relevant to businesses, as well as the role of sustainability professionals in practical implementation. The course is divided into several core topics, including: (i) an overview of international and U.S. climate change policy and law, including the Paris Agreement, the Inflation Reduction Act and energy transition policy support, and human rights/environmental justice; (ii) market-led, voluntary initiatives such as the Task Force on Climate-related Financial Disclosures (TCFD), and related developments including the mainstreaming of ESG investing, sustainable finance, and the proliferation of corporate net zero goals; (iii) corporate governance, shareholder activism, and the emergence of mandatory regulation on climate disclosures, such as the E.U.’s Taxonomy Regulation and the U.S. Securities & Exchange Commission’s proposed climate disclosure rule; (iv) carbon pricing, carbon markets, and “offsets”; (v) greenhouse gas emissions accounting and data challenges; and (vi) climate-related litigation and enforcement actions against corporations and financial institutions in the U.S. and other key markets, including “greenwashing” litigation and “anti- energy company boycott” investigations by several U.S. states.