FOUNDATIONS OF WEALTH MANAGEMENT

FOUNDATIONS OF WEALTH MGM

In this course, students will explore the history and current state of the wealth
management industry and gain exposure to the fundamentals of financial planning,
including Accounting and Finance. This course will address the function, purpose,
and regulation of financial institutions, the regulations and requirements governing
financial services, and the ethical responsibilities of wealth management
professionals. This course will provide an introduction to tax concepts and trusts
and estates. Students will also learn about the major asset classes, including cash
and cash alternatives, fixed income, equities and alternative investments. In
addition, students will be able to apply core accounting and finance concepts,
including: time value of money, weighted average cost of capital, discounted cash
flow, internal rate of return, US GAAP standards, and three-statement financial
analysis. Finally, students will be provided an overview of the importance of
communication and counseling.

• Department: Wealth Management
• Instructor: Michael Kothakota
  Info
• 3 points

Financial Accounting

• Department: Accounting (ACCT)
• Instructor: Amir Ziv
  Info
• 3 points

AFAM Pro Seminar MA

This graduate pro-seminar for MA students is an intensive introduction to key theoretical frameworks and critical discourses that shape Black Studies. This interdisciplinary seminar provides students with foundational components of the African American intellectual tradition and to Black diasporic thought. The course is organized by themes that reflect the historical and social context of Black life in the US and broader diasporic connections, particularly the cultural, political, economic, and geographic formations that ground Black life.

This course introduces students to central questions and debates in the fields of African American Studies, and it explores the various interdisciplinary efforts to address them. The seminar is designed to provide an interdisciplinary foundation and familiarize students with a number of methodological approaches.

• Department: African American and African Diaspora
• T 2:10 p.m.-4 p.m.
• Instructor: Farah Griffin
  CULPA: 10 Wikipedia Info
• 4 points

Dynamics of Climate Variability and Chan

DYNAMICS CLIMATE VAR & CH

Required for students in the Climate and Society MA Program Prerequisites: undergraduate course in climate or physics; undergraduate calculus An overview of how the climate system works on large scales of space and time, with particular attention to the science and methods underlying forecasts of climate variability and climate change. This course serves as the basic physical science course for the MA program in Climate and Society

• Department: Climate School
• M 4:10 p.m.-6:40 p.m.
• Instructor: Mingfang Ting
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• Instructor: Mukund P Rao
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• Instructor: Suzana J de Camargo
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• Instructor: Michela Biasutti
  h-index: 27 Info
• 3 points

MICROECONOMIC ANALYSIS I-DISC

Corequisites: ECON GR5211 Discussion Section for Economics MA Course Microeconomics Analysis I.

• Department: Economics
• F 3:30 p.m.-5 p.m.
• R 10 a.m.-11:30 a.m.
• Instructor: June Wang
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• Instructor: Patricio Hernandez Senosiain
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• 0 points

PROFESSIONAL PRESENTATION

• Department: Engineering
• T 1:10 p.m.-2:50 p.m.
• T 3 p.m.-4:40 p.m.
• Instructor: Hyoseon Lee
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• 0 points

MASTERS SEMINAR

Prerequisites: Departments permission. This course (required for all first-year graduate students in the English Department) introduces students to scholarly methodologies in the study of literature and culture. The Masters Seminar operates in tandem with the Masters Colloquium ENGL G5005, and requires short writing assignments over the course of the semester and extensive in-class participation. There are two sections of this course.

• Department: English and Comparative Literature
• M 4:10 p.m.-6 p.m.
• M 2:10 p.m.-4 p.m.
• Instructor: Alan Stewart
  CULPA: 14 h-index: 13 Info
• Instructor: Jennifer Wenzel
  CULPA: 3 h-index: 15 Info
• 4 points

Evidence Based Dentistry

• Department: Dental and Oral Surgery
• 0 points

INTRODUCTION TO FINANCE

Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Eleni Vrana
  Info
• 3 points

FUNDAMENTALS OF SUSTAINABILITY SCIENCE

FUND OF SUSTAINABILITY SCIENCE

This course provides an introduction to the major themes of sustainability science with a focus on the application of science to the practice of sustainability.  Basic research, especially in the environmental and social sciences, explores the Earth as a system of systems, wherein the physical, chemical and biological systems interact with each other as well as human systems to affect our future.  The results of this research are often difficult to apply in practice unless the research in translated into actionable advice for individuals, governments and private enterprise.  Even so, the actual or perceived complexities of interactions between human and “natural” systems are often seen by decision makers as barriers to long-term planning, an essential element of pursuing sustainability.  A simple definition of sustainability is based on intergenerational equity.  Thus, the relationships between the here-and-now and possible global futures need to be understood.  Students enrolled in this course will discuss: Definitions of sustainability, including environmental, cultural and socio-economic components; Technologies for observing natural systems and their impacts on human systems; Summaries of scientific understanding of global-scale climate dynamics, natural hazards, biodiversity, environmental stressors and anthropogenic inputs to coupled human-natural systems; An overview of the strengths and weaknesses of science-based prediction; An introduction to geoengineering; Developing the evidence base for sustainability decisions; An introduction to risk assessment, perception and management; Decision making under uncertainty; General principles of sustainability management. An undergraduate background in any field of science or engineering and mathematics through statistical and time-series analysis is required.  An interest in coupled natural-human systems is desirable.

• Department: Sustainability Science
• R 6:10 p.m.-8 p.m.
• Instructor: Robert Newton
  h-index: 9 Info
• 3 points

Topics in Technology Career Paths and In

Topics in Technology Career Paths and Industry
is a discussion series where faculty, alumni, and industry professionals share their experiences navigating careers across the technology landscape.

This series offers a look at how the program’s curriculum translates into real-world skills and professional opportunities. Explore how the courses, projects, and experiences shape thinking, support building technical and professional toolkits, and launch impactful careers in technology.

Students will examine a range of career paths, gain insights into industry trends, and engage in conversations that connect classroom learning to practice.

• Department: Technology Management
• W 12:10 p.m.-2 p.m.
• Instructor: Shahryar Shaghaghi
  Info
• 0 points

DRAWING II

• Department: Visual Arts
• F 10 a.m.-4 p.m.
• Instructor: Robert Pruitt
  Info
• 3 points

MA METHODS: COLLOQUIUM

• Department: Art History and Archaeology
• R 12:10 p.m.-2 p.m.
• Instructor: Frederique Baumgartner
  CULPA: 3 Info
• 4 points

MACROECONOMIC ANALYSIS I-DISC

Corequisites: ECON G5215 Discussion Section for Economics MA Course Macroeconomics Analysis I.

• Department: Economics
• T 10 a.m.-11:30 a.m.
• T 6 p.m.-7:30 p.m.
• Instructor: Simone Casula
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• Instructor: Korok Dasgupta
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• 0 points

PROFESSIONAL COMMUNICATION IN ENGLISH

PROFESSIONAL COMM IN ENGL

• Department: Engineering
• W 3 p.m.-4:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

ECONOMETRICS I-DISCUSSION

Corequisites: ECON G5411 Discussion Section for Economics MA Course Econometrics I.

• Department: Economics
• M 4:15 p.m.-5:45 p.m.
• W 9:30 a.m.-11 a.m.
• Instructor: Piper Wang
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• Instructor: Xiangru Li
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• 0 points

ACADEMIC WRITING

• Department: Engineering
• R 11 a.m.-12:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

FNDN EXCELLENCE DENTAL PRACTICE I

• Department: Dental and Oral Surgery
• 0 points

CORPORATE FINANCE

Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: John D Van Ness
  Info
• 3 points

NEUROBIOLOGY I: CELLULAR & MOLECULAR

NEUROBIO I:CELLULAR & MOL

Prerequisites: one year of biology; a course in physics is highly recommended. This is an advanced course intended for majors providing an in depth survey of the cellular and molecular aspects of nerve cell function. Topics include: the cell biology and biochemistry of neurons, ionic and molecular basis of electrical signals, synaptic transmission and its modulation, function of sensory receptors. Although not required, it is intended to be followed by Neurobiology II (see below).

• Department: Biological Sciences
• TR 10:10 a.m.-11:25 a.m.
• 3 points

MATH METHODS FOR ECONOMISTS-DISC

Corequisites: ECON GR5410 Discussion Section for Economics MA Course Math Methods for Economists.

• Department: Economics
• T 2 p.m.-3:30 p.m.
• M 6 p.m.-7:30 p.m.
• Instructor: Sangjun Park
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• Instructor: Nicholas Guitian
  Info
• 0 points

INTRO-STAT-ECOLOGY & EVOL BIOL

Prerequisites: Some background in ecology, evolutionary biology. Intended for those WITHOUT prior knowledge of statistics.  This is an introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.

• Department: Ecology, Evolution, and Environmental Biology
• M 6:10 p.m.-8 p.m.
• Instructor: Steffen Foerster
  Info
• 3 points

RECITATION FOR LINEAR REGRESSION MODELS

Recitation for Lin Reg Mo

Recitation for STATGR5205 zero credits, not mandatory

• Department: Statistics
• F 10:40 a.m.-11:55 a.m.
• F 11:40 a.m.-12:55 p.m.
• F 2:40 p.m.-3:55 p.m.
• Instructor: Gabriel Young
  CULPA: 7 Info
• 0 points

Fieldwork: Bridging Theory and Practice

The Fieldwork: Bridging Theory and Practice elective is designed to provide students with the opportunity to integrate theoretical knowledge gained in their academic program with hands-on, real-world experience. This elective aims to enhance students' practical skills, professionalism, and industry readiness.

MA students are eligible to register for this course up to 3 times after completing 2 full semesters of courses 

·        Full time (40 hours per week) in the Summer (after completing 2 full semesters) and part-time (up to 20h per week) in Fall and Spring (also after completing 2 full semesters)

·         This course can only be taken as part of degree requirements. Students who have already completed all the degree requirements (required courses and 30 credits) are not eligible

            o    Students who wish to take it in the Spring of their 2nd year, need to make sure they still have course/credits that need to be completed in the same semester

·         Students cannot take the fieldwork course pass/fail and must receive a standard letter grade.

• Department: Biomedical Informatics
• Instructor: Olena Mamykina
  Info
• 1-12 points

Programming for Data Science Recitation

Prog for Data Sci Recitat

Recitation for STAT 4206

• Department: Statistics
• F 9:40 a.m.-10:55 a.m.
• F 10:40 a.m.-11:55 a.m.
• F 11:40 a.m.-12:55 p.m.
• F 2:40 p.m.-3:55 p.m.
• 0 points

Climate Change Mitigation

This survey course provides an overview of the tools (technologies, policies, etc.) that can be used to mitigate the impacts of climate change. This course will utilize scenario planning frameworks to explore pathways to economy-wide decarbonization. In this work, the course will explore not only the technical options for reducing greenhouse gas emissions but also the policy responses, market-structures, and behavioral change that can support progress to net-zero. The course will also utilize a series of case studies of decarbonization pathways for different geographies in low- middle- and high-income countries to provide insights on mitigation strategies, including risks and opportunities. This course is intentionally multidisciplinary, weaving together STEM, policy, and other social sciences. It will be primarily focused on applications of mitigation solutions and will highlight both what net-zero “end states” may look like and the transition pathways to achieve these end states.

• Department: Climate School
• M 1:10 p.m.-3:40 p.m.
• Instructor: Lisa E Sachs
  Info
• 3 points

OPTIONS AND FUTURES

The course seeks to familiarize students with the basic derivatives (futures and options contracts).  Both have played a role in the markets for many-many years (before the emergence of modern derivative markets in the 70s).  Following the beginning of standardization at CBOE (1973) we have witnessed a dramatic growth in options markets and options are now traded on many exchanges around the world (CBOE, PHLX, NYSE etc.) Huge volumes of options are also traded over the counter (OTC), particularly on foreign exchange and interest rates.  Many options are traded daily in the markets on a wide array of underlying assets from commodities to financial instruments (stocks, bonds, indexes, currencies, futures etc.) to… weather! The appearance of exotic options has driven volumes even higher in the OTC market providing investors with even wider possibilities for customizing risks borne and hedging against risks.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Ted Jastrzebski
  Info
• 3 points

INDEPENDENT STUDY

• Department: Engineering
• T 4:50 p.m.-6:30 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

FINANCIAL ACCOUNTING

Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Rebecca Shaffer
  Info
• 3 points

Graduate Seminar in Conservation Biology

Grad Sem Conservation Bio

This graduate-level course examines the scientific foundations, contemporary challenges, and applied practice of conservation biology in a human-dominated world. The course emphasizes how ecological theory, data, and models are used to inform real-world conservation decisions across policy, management, nonprofit, and private-sector contexts.

Designed for working professionals, the course integrates foundational conservation science with applied case studies, analytical interpretation, and professional communication. Students will engage with primary literature, policy-relevant syntheses, and practitioner perspectives to evaluate conservation tradeoffs, uncertainty, and decision-making under real constraints.

• Department: Biodiversity Data Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Bekka Brodie
  Info
• 3 points

GRADUATE RESEARCH COLLOQUIUM

The Graduate Research Colloquium is a forum that offers two types of research seminars over the course of the semester. In the first, formerly the Graduate Colloquium, up to six outside speakers are invited by the graduate organizers to present research papers to an audience of graduates, faculty and others interested within the larger NYC Classics community, and afterwards to engage in discussion. The second is a Work-in-Progress seminar in which Columbia Classics graduate students present their research to their graduate peers in whatever format they deem most conducive to conveying their research to their audience and receiving feedback. The audience for these eight seminars is restricted to graduate students, the instructor who presides over the course, and any faculty the graduate student presenters choose should choose to invite. At least one semester of the Graduate Research Colloquium is required for MAO students and PhD students must attend the course in both the Fall and Spring semesters of their first year.

• Department: Classics
• F 2:10 p.m.-4 p.m.
• TF 4:10 p.m.-6 p.m.
• Instructor: Paraskevi Martzavou
  CULPA: 2 Info
• Instructor: Katharina Volk
  CULPA: 7 Info
• 2 points

INTRO TO THE MATH OF FINANCE

Prerequisites: MATH UN1102 and MATH UN1201 , or their equivalents. Introduction to mathematical methods in pricing of options, futures and other derivative securities, risk management, portfolio management and investment strategies with an emphasis of both theoretical and practical aspects. Topics include: Arithmetic and Geometric Brownian ,motion processes, Black-Scholes partial differential equation, Black-Scholes option pricing formula, Ornstein-Uhlenbeck processes, volatility models, risk models, value-at-risk and conditional value-at-risk, portfolio construction and optimization methods.

• Department: Mathematics
• MW 7:40 p.m.-8:55 p.m.
• Instructor: Mikhail Smirnov
  CULPA: 16 Info
• 3 points

QUANT THRY/METHODOLOGY-SOC SCI

This interdisciplinary course, taken in the fall semester, is a comprehensive introduction to quantitative research in the social sciences. The course focuses on foundational ideas of social science research, including strengths and weaknesses of different research designs, interpretation of data drawn from contemporary and historical contexts, and strategies for evaluating evidence. The majority of the course is comprised of two-week units examining particular research designs, with a set of scholarly articles that utilize that design. Topics include: the “science” of social science and the role of statistical models, causality and causal inference, concepts and measurement, understanding human decision making, randomization and experimental methods, observation and quasi-experimentation, sampling, survey research, and working with archival data.

• Department: Quantitative Methods/Social Sciences
• R 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• R 12:10 p.m.-2 p.m.
• W 12:10 p.m.-2 p.m.
• W 2:10 p.m.-4 p.m.
• T 4:10 p.m.-6 p.m.
• M 2:10 p.m.-4 p.m.
• W 4:10 p.m.-6 p.m.
• 3 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

• Department: Human Capital Management
• W 6:10 p.m.-8 p.m.
• Instructor: Young Mi Park
  Info
• 3 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

• Department: Auditing
• W 6:10 p.m.-8 p.m.
• M 8:30 p.m.-10 p.m.
• Instructor: Young Mi Park
  Info
• Instructor: Aaron S Wallen
  CULPA: 1 h-index: 5 Info
• 0 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• Instructor: Aaron S Wallen
  CULPA: 1 h-index: 5 Info
• 3 points

Proseminar

Proseminar is designed to offer beginning MA and PhD students an overview of (i) the major sub-disciplinary areas that are gathered under the umbrella term ‘classics’, making it a fundamentally interdisciplinary field of enquiry, and (ii) the diverse methodologies that are standardly applied in many subfields of classical research and publication.

• Department: Classics
• F 2:10 p.m.-4 p.m.
• TF 4:10 p.m.-6 p.m.
• Instructor: Elizabeth K Irwin
  CULPA: 7 Info
• Instructor: Katharina Volk
  CULPA: 7 Info
• 1 points

ORAL HISTORY WORKSHOP

This course introduces students to important conversations within and about oral history through a series of curated public events.

This semester our events will explore how oral history lives in places and communities around New York City through a series of place-based events, curated in collaboration with partners around the city.

We meet approximately 6 times/semester.

• Department: Oral History
• R 6 p.m.-8 p.m.
• 1 points

Introduction to Political Analytics

Intro Political Analytics

Analytics and data-driven decision-making are playing an ever-larger role in modern political campaigns, advocacy groups, and media coverage of politics. This phenomenon builds on the increasing availability of “big data” in politics: augmented voter files covering hundreds of millions of registered voters, databases of donors and volunteers, online clicks and likes, an explosion of polling options, and much more. As a result, data practitioners now play a key role in determining the direction of American politics.

This course familiarizes students with a range of foundational statistical and data analytic methods and shows how these techniques can be practically applied to politics and related fields. The course also serves as an intensive introduction to statistical programming in R. Students will learn about the role of big data and analytics in contemporary US politics, with a focus on key data sources and their uses. The course also focuses on causal inference methods to train students in evaluating the impact of political campaigns, policy initiatives, and other program interventions. This course lays the groundwork for more specialized courses and will help students consider which types of knowledge and skills they want to acquire as they progress through the degree program.

• Department: Political Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Michael Schwam-Baird
  Info
• 4 points

Special Topics: Ethics and Technology in

Ethics and Technology wit

This 1.5-credit onsite graduate course examines the ethical dynamics shaping contemporary technology management as innovation, regulation, and societal expectations rapidly evolve. Drawing on globally recognized perspectives and frameworks in responsible AI leadership and governance, the course explores how ethical considerations inform strategic decision-making across the technology lifecycle, from human-centered design to enterprise-scale digital transformation. Students critically analyze emerging challenges in artificial intelligence, data stewardship, collective decision-making systems, and value alignment, with attention to governance models, institutional accountability, and evolving regulatory frameworks. An emphasis is placed on evaluating the economic, social, and sustainable implications of technologies to strengthen ethical leadership discernment and strategic risk evaluation. The course equips students to critically navigate the ethical complexities of technological progress while aligning innovation with institutional values, societal responsibility, and long-term organizational integrity in a rapidly evolving global landscape.

• Department: Technology Management
• W 4:10 p.m.-6 p.m.
• Instructor: Francesca Rossi
  Info
• 1.5 points

Climate Change Adaptation

Utilizing a case-study approach, this course will offer a focused study of climate change adaptation policy, exploring dimensions of adaption across sectors and scales. With a thematic focus on pervasive global inequities, students will also consider challenges associated with international development and disaster risk management. An inter-disciplinary framework will enrich the course, and students will learn about perspectives from the natural sciences, law, architecture, anthropology, humanitarian aid, and public policy.

• Department: Climate School
• W 8:40 a.m.-9:55 a.m.
• 3 points

INTRO-STAT-ECOLGY/EVOL BIO-LAB

Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended. An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.

• Department: Ecology, Evolution, and Environmental Biology
• T 6:10 p.m.-7:25 p.m.
• W 6:10 p.m.-7:25 p.m.
• Instructor: Steffen Foerster
  Info
• 0 points

CINEMA HIST II: 1930-1960

• Department: Film
• T 2:10 p.m.-4:55 p.m.
• Instructor: Ronald Gregg
  CULPA: 2 Info
• 3 points

DATA ANALYSIS FOR THE SOCIAL SCIENCES

Prerequisites: One semester of undergraduate statistics The data analysis course covers specific statistical tools used in social science research using the statistical program R. Topics to be covered include statistical data structures, and basic descriptives, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, models for binary outcomes, naive Bayes classifiers, models for ordered data, models for nominal data, first difference analysis, factor analysis, and a review of models that build upon OLS. Prerequisite: introductory statistics course that includes linear regression. There is a statistical computer lab session with this course: QMSS G4017 -001 -DATA ANALYSIS FOR SOC SCI

• Department: Quantitative Methods/Social Sciences
• F 12:10 p.m.-2 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

FIFTH YEAR JAPANESE I

Prerequisites: Students must meet with the instructor prior to taking the course. This course is intended to help students increase their ability level in the four core language skills (reading, writing, listening, and speaking) from advanced to super-advanced. It serves as a bridge between mastering the overall Japanese language and using it for analysis, research, and literary criticism. This is a mandatory course for Ph.D students in Japanese Studies.

• Department: East Asian Languages and Cultures
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Miharu Nittono
  CULPA: 10 Info
• 4 points

Roots and Branches of Oral History

Roots & Branches of Oral

Doing oral history is a part of being human. It is also a formalized research practice with histories that vary across disciplines, geographies, and institutional contexts. 

In this class, students will be introduced to the many roots of oral history - as an Indigenous practice, in folklore and storytelling, in community organizing and popular education, and as an interdisciplinary research practice. We will explore the histories of oral history as a research practice in a range of national and regional contexts, within the disciplines of history and anthropology, and both within and beyond universities and libraries.

From these many roots, we can trace many branches. Students will learn about contemporary uses of oral history as a decolonial and feminist research method, a tool for organizing, as slow scholarship, as performance, and as a narrative praxis.

As a final project, each student will conduct research, building on assigned course readings, to identify their own relevant oral history roots and define their own approach to doing oral history.

This course is required for Oral History MA students, and open to non-OHMA graduate students space permitting and with instructor’s permission.

• Department: Oral History
• W 10:10 a.m.-noon
• Instructor: Amy A Starecheski
  h-index: 5 Info
• 4 points

TIME SERIES, PANEL DATA & FORECASTING

This course will introduce students to the main concepts and methods behind regression analysis of temporal processes and highlight the benefits and limitations of using temporally ordered data. Students study the complementary areas of time series data and longitudinal (or panel) data. There are no formal prerequisites for the course, but a solid understanding of the mechanics and interpretation of OLS regression will be assumed (we will briefly review it at the beginning of the course). Topics to be covered include regression with panel data, probit and logit regression of pooled cross-sectional data, difference-in-difference models, time series regression, dynamic causal effects, vector autoregressions, cointegration, and GARCH models. Statistical computing will be carried out in R.

• Department: Quantitative Methods/Social Sciences
• F 10:10 a.m.-noon
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

Social, Equity & Governance Consideratio

Considerations for GHG Re

In the 2015 Paris Agreement, the international community vowed to “reach global peaking of greenhouse gas emissions as soon as possible,” and to achieve “rapid emissions reductions thereafter.” Despite that, however, global emissions continue to increase. The lack of progress has spurred interest in the possibility of removing greenhouse gases directly from the atmosphere. Modelling by the Intergovernmental Panel on Climate Change suggests that atmospheric greenhouse gas removal (GHGR) could help to combat climate change in three ways. First, GHGR could be used to reduce net emissions in the short-term, while countries are in the process of decarbonizing. Second, GHGR could be used to offset residual emissions from hard-to-decarbonize sectors (e.g., aviation) and thus achieve net-zero emissions. Third, in the longer-term, GHGR could be used to achieve net-negative emissions if deployed at levels exceeding residual emissions.

Scientists have proposed a variety of GHGR techniques, but questions remain about their efficacy, benefits, and risks. Technical feasibility is not the only consideration as large-scale deployment of GHGR could raise a host of social, ethical, and governance issues. For example, some climate activists have argued GHGR may discourage action to reduce emissions, and further entrench fossil fuel use. Others have expressed concern about the equity and justice implications of deploying GHGR, arguing
that it could exacerbate existing inequalities and place the most vulnerable at greater risk. Existing governance frameworks may not be effective in preventing these negative outcomes nor maximizing the benefits of GHGR.

This course will explore possible technique for large-scale GHGR. We will discuss the feasibility of deploying different techniques, with a particular focus on the ethical, social, and governance issues that large-scale deployment could raise. We will also consider strategies for advancing just and equitable deployment and explore the role of different actors (e.g., governments, the private sector, and civil society) in ensuring that occurs.

• Department: Climate School
• R 4:10 p.m.-6:40 p.m.
• Instructor: Romany Webb
  Info
• 1.5 points

Building Equitable Community Partnership

Partnerships in Disaster

Disaster management is a continuum that is affected by decisions, investments and dynamics that occur before, during and after disasters. The issue of equity in disaster management is emerging from an abundance of evidence that shows that societal inequities often translate into inequitable outcomes and disproportionate impacts from disasters. Community engagement strategies are often touted as a solution to the inequities, but many aspects of community participation are complex, with additional effort and investments required for working with vulnerable and marginalized communities. Further, power dynamics between disaster experts and vulnerable communities may bias approaches to disaster management as well as representation within relevant power structures. This course is designed to explore the variables that impact vulnerability and inequity in disaster management, ultimately leading to inequitable outcomes. It also provides an overview of current and emerging strategies in community engagement designed to foster a “whole of community” approach to disaster management. The purpose of this course is to prepare those entering the climate policy and practice workforce for addressing these challenges by providing an overview of issues of equity and building community partnerships in disaster management. At the end of this course learners will be able to: 


Describe social determinants of disaster vulnerability and resilience

Describe how governance and financial structures can drive inequity in the disaster cycle

Identify whole community approaches for disaster management 

Identify mechanisms to develop partnerships with underserved communities and emergent partners in disaster management

Demonstrate the ability to develop strategies for disaster management based on best practices for community engagement and addressing equity concerns

• Department: Climate School
• M 10:10 a.m.-12:40 p.m.
• Instructor: Jonathan J Sury
  Info
• 3 points

Climate Change Decision-Making

This course presents decision science to students, showing it to be a source of concepts and techniques to promote more extensive and effective climate action. It emphasizes the relevance of decision science to students who are planning professional careers in climate-focused organizations and sectors, while also being of value to students who plan future studies in academic and professional programs.

As is widely recognized, there has been insufficient progress towards the goals of stabilizing greenhouse gas concentrations at safe levels and of adapting to existing and projected climate impacts. Understanding how individuals and organizations make decisions is a key step to reducing this gap. Decision science can help design resources (finance, regulation, governance, information and communications) in ways that promote action. 

The field of decision science emerged decades ago, drawing on psychology, economics and other social science fields to address problems of poor decision-making in areas such as finance and health. Recent research has extended this field to climate action. It has clarified   the obstacles that impede climate decision-making in many settings, and it has developed techniques to improve these decisions. There is an increasing body of empirical research that tests the effectiveness of these techniques in a wide variety of settings.

This course familiarizes students with central concepts and methods of decision science. The modules of the course focus on specific concepts and on techniques linked to them, drawing on concrete examples from climate-relevant domains such as disaster risk reduction, health, energy, water and food security.  The readings include studies which assess the effectiveness of specific techniques to support climate decisions. The course covers a range of different approaches. It shows that each of these can be useful to address obstacles to effective decision-making, but there is no silver bullet. Instead, the course provides students with means to select the decision techniques that are effective to address specific issues in specific contexts.

• Department: Climate School
• T 10:10 a.m.-12:40 p.m.
• Instructor: Ben S Orlove
  Info
• 3 points

Intro Statistics Ecology & Evolutionary

Intro Stats Ecol Evolu Bi

This is an introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of the R programming language in computer-based in-class exercises and homework assignments.

• Department: Biodiversity Data Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Steffen Foerster
  Info
• 3 points

Post-Disaster Recovery: Housing/Economic

This course is designed as an elective to the Climate and Society Master of Arts degree program. The purpose of this course is to prepare those entering the climate policy and practice workforce for addressing these challenges and solutions by providing an overview of the fields of economic and housing recovery within the context of climate change and climate driven disasters.

• Department: Climate School
• T 1:10 p.m.-3:40 p.m.
• 3 points

STRATEGIC STORYTELLER

The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice.  By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.

• Department: Strategic Communication
• R 10:10 a.m.-noon
• Instructor: Lauren R Glover
  Info
• 3 points

CINEMA HIST III:1960-1990

• Department: Film
• W 2:10 p.m.-5:55 p.m.
• Instructor: Annette Insdorf
  CULPA: 10 Wikipedia Info
• 3 points

CLOSE READING: GIVING AND RECEIVING ACCO

CLOSE READING: GIVING + R

• Department: Narrative Medicine
• T 10:10 a.m.-1 p.m.
• T 2:10 p.m.-5 p.m.
• T 6:10 p.m.-9 p.m.
• Instructor: Maura L Spiegel
  CULPA: 40 Info
• Instructor: Danielle R Spencer
  h-index: 5 Info
• 4 points

ORAL HIST:FIELDWORK/DOCUMENTN

This seminar is the first half of a two-semester practicum in which students will learn and practice the critical skills required to conceptualize, conduct, analyze and disseminate oral history projects in a range of contexts and communities.

 

In the Fall semester, we will learn project design, approaches to interviewing and other genres of oral history, remote and in-person audio recording, transcribing, indexing, and digital archiving. Students will have the option of working on oral history projects conducted in partnership with Fieldwork Partners or working on their own projects. 

 

By the Spring semester course on Curating Oral Histories, students will be expected to be primarily working on their own projects. In the Spring we will focus most of our attention on the analysis and dissemination of oral histories, including audio editing, online presentation, museum exhibits, and other public oral history genres. Our spring work will culminate in a collaboratively curated interactive public exhibit

• Department: Oral History
• T 10:10 a.m.-1 p.m.
• Instructor: Joseph Plaster
  Info
• 5 points

Strategic Thinking

Politics involves a complex interaction of competing interests.  For practitioners, it is crucial to understand how efforts are met with responses, and predicting those responses is critical to designing successful strategies.  Game theory is the formal mathematical analysis of strategic interaction across the social sciences.  This course provides a general theoretical language to the theory of games, examining the intentional thought process of rational actors in strategic environments.  Students will acquire tools for understanding the dynamics that lead to the success of a political campaign or policy-making effort.  Course topics include two-person games, dynamic games, bargaining, and signaling. Students will also examine a variety of cases.

• Department: Political Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: Michael Ting
  CULPA: 4 Info
• 2 points

INTRODUCTION TO MARKETING

Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.

• Department: Strategic Communication
• W 4:10 p.m.-6 p.m.
• Instructor: Young Mi Park
  Info
• 3 points

COST BENEFIT ANALYSIS

This course is about cost-benefit analysis and the economic evaluations of policies and projects. Cost benefit analysis (CBA) consists of a comprehensive set of techniques used to evaluate government programs. It is now routinely applied in such program areas as transportation, water projects, health, training and education, criminal justice, environmental protection, urban policy and even in the international arena such as foreign direct investment. Many of the techniques of CBA can also be applied to private sector decision-making. The objective of CBA is to determine whether the benefits of a particular program, policy or decision outweigh its costs. The techniques used to determine this are sometimes quite simple, but on other, increasingly frequent occasions are highly sophisticated. Sophisticated cost benefit studies are based on a framework that utilizes the basic concepts of economic theory. In addition, statistical and econometric analyses are often needed to estimate program effects from diverse available data. The course has two parts: methodology and practice. The goal is for students to be practically adept to undertake an independent cost-benefit analysis.

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Alexander Heil
  Info
• Instructor: Anyi Wang
  Info
• 3 points

A Science-based Approach to Climate-Smar

Climate-Smart Forestry

This course examines the science behind our understanding of how and why forests are responding to changing climatic baseline conditions, and how this can inform management, mitigation and restoration efforts going forward. We will study how climate change affects forest structure, function, biodiversity, and ecosystem services, and delve into the emerging field of climate-smart forestry. Students will integrate theory with hands-on field methods in a pair of 1-hectare forest plots, where they will learn how to measure, analyze, and interpret climate impacts at local scales.

• Department: Sustainability Science
• T 4:10 p.m.-6 p.m.
• R 4:10 p.m.-6 p.m.
• Instructor: Brendan Buckley
  h-index: 40 Info
• 3 points

Quantum Mechanics I (for Quantum Masters

• Department: Physics
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Hector Ochoa
  Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI I

RES SEMINAR I

This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI I

This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.

• Department: Quantitative Methods/Social Sciences
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Sandhya Kajeepeta
  Info
• Instructor: Steven Hubbard
  Info
• 3 points

THEORY & PRACTICE OF LIFE CYCLE ASSESSME

THEORY & PRAC LIFE CYCL ASSMNT

Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.

• Department: Sustainability Management
• W 4:10 p.m.-6 p.m.
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Christoph J Meinrenken
  h-index: 15 Info
• Instructor: Kim Matsoukas
  Info
• Instructor: Adriana B Kliegman
  Info
• 3 points

DEVELOPMENTAL BIOLOGY

• Department: Biological Sciences
• TR 1:10 p.m.-2:25 p.m.
• Instructor: Alice Heicklen
  CULPA: 15 Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI II

This course has two goals.  One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research.  Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• Instructor: Sandhya Kajeepeta
  Info
• Instructor: Steven Hubbard
  Info
• 3 points