CAPSTONE

• Department: Strategic Communication
• 3 points

CAPSTONE

• Department: Strategic Communication
• Instructor: Ethan Pew
  h-index: 0 Info
• 3 points

ROLE OF FINANCE IN INSURANCE

• Department: Insurance Management
• Instructor: Robert Percopo
  Info
• 3 points

Intro Darkroom Photography

Intro to Darkroom

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.

• Department: Visual Arts
• MW 9:30 a.m.-noon
• TR 9:30 a.m.-noon
• Instructor: Matthew E Buckingham
  Wikipedia Info
• Instructor: Kevin II Claiborne
  Info
• 3 points

PENSIONS

This course is a workshop in ERISA and Taxation Rules for Actuaries. Actuarial science can be applied and cover a number of welfare benefit arrangements (such as life insurance, medical, disability, severance etc.), qualified plans and nonqualified deferred compensation plans. The services and products that are developed in the actuarial field may be governed by certain federal laws. In the U.S., these arrangements are governed by the Employee Retirement Income Security Act ("ERISA"). In addition, certain federal taxation and reporting rules may apply. To be successful in the field will require an understanding of these rules, reporting requirements, taxation rules and the government agencies (Internal Revenue Service, Department of Labor and Pension Benefit Guarantee Corporation) responsible for oversight of such arrangements. Other topics covered will include SEPs, Simple Plans, 403(b) plans, 457 plans and Nonqualified Deferred Compensation Plans.

• Department: Actuarial Science
• TR 7:40 p.m.-8:55 p.m.
• 3 points

SPORTS FACILITIES & EVENTS MANAGEMENT

SPORT FACILITY & EVENT

• Department: Sports Management
• T 4:10 p.m.-6 p.m.
• Instructor: William Squires
  Info
• 3 points

SPORTS FACILITIES & EVENTS MANAGEMENT

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: William Squires
  Info
• 3 points

INVESTMENT & ALM FOR ACTUARIES

The goal of this elective course is to provide you with a broad understanding of fixed income securities and how they are used for asset liability management (ALM) in financial institutes. This course is designed for individuals who currently work or plan to work as insurance and financial professionals such as actuaries, traders, and quants. The course builds on concepts introduced in several of the program’s core courses and emphasizes the application of theories. The course covers content adapted from the SOA syllabus for fellowship exams and is split into four parts: interest rate risk measurements, interest rate management—ALM strategy, ALM decision-based asset allocation, and value-based management. In this course, you will learn several ALM techniques related to mitigating interest rate risks, managing risk and return trade-offs, and setting strategic asset allocation (SAA) to achieve an optimized risk/return portfolio. Additionally, you will be introduced to the concepts of value-based management and economic value of liabilities. Completing this course will give you a fundamental basis for understanding ALM in financial organizations and further prepare you to apply these concepts in real-life situations under both generally accepted accounting principles (GAAP) and market consistent approaches.

• Department: Actuarial Science
• MW 7:40 p.m.-8:55 p.m.
• 3 points

SOLAR PROJECT DEVELOPMENT

TBA

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• Instructor: Daniel J Giuffrida
  Info
• 3 points

ANALYTICS & LEADING CHANGE

ANALYTICS & LEADING CHNG

• Department: Applied Analytics
• S 10:10 a.m.-noon
• M 6:10 p.m.-8 p.m.
• F 2:10 p.m.-4 p.m.
• T 6:10 p.m.-8 p.m.
• F 12:10 p.m.-2 p.m.
• Instructor: Paul J Bailo
  Info
• Instructor: Ron Papka
  Info
• Instructor: Peter Went
  Info
• Instructor: Aaron Foster
  Info
• Instructor: Orin Davis
  Info
• 3 points

ANALYTICS & LEADING CHANGE

ANALYTICS & LEADNG CHNG ONLINE

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Sheryl Colyer
  Info
• 3 points

CINEMA/MEDIA HISTORIOGRAPHY

An introduction to issues and cases in the study of cinema century technologies. This class takes up the definition of the historiographic problem and the differences between theoretical and empirical solutions. Specific units on the history of film style, genre as opposed to authorship, silent and sound cinemas, the American avant-garde, national cinemas (Russia and China), the political economy of world cinema, and archival poetics. A unit on research methods is taught in conjunction with Butler Library staff. Writing exercises on a weekly basis culminate in a digital historiography research map which becomes the basis of a final paper

• Department: Film
• T 10:10 a.m.-12:40 p.m.
• Instructor: Robert King
  CULPA: 7 Info
• 3 points

ETHICS FOR SUSTAINABILITY MANAGEMENT AND

ETHICS OF SUST MGMT & FINANCE

The World Bank has estimated that the global cost of corruption is at least $2.6 trillion, or 5% of the global gross domestic product (GDP). Businesses and individuals pay over $1 trillion in bribes annually, which does not account for billions of dollars of both humanitarian and development aid that pass clandestinely from public to private hands, billions lost to tax evasion, and billions funneled to and from illegal trafficking. In addition, it does not account for billions enmeshed in conflicts of interest, ranging from campaign donations to regulatory loopholes and in general, “private gain from public office”. All such transactions occur in globally widespread arenas of corrupt practices. In this money-based environment, “what is just” in the distribution of programmatic goods and services needs continually to be determined, and depends upon whose participation will be allowed, counted and verified in decision processes. Some voices are heard, others are unheard, and the difference often depends upon the existing distribution of wealth, including the access wealth facilitates to these processes.   In this complex situation, which results significantly from unethical practices, the process and success of sustainability, including the UN Sustainable Development Goals (SDGs), depend upon the positive inroads and disruptions made by ethical practices. What are the features of these practices? What kinds of ethics are necessary and integral to the process and success of sustainability? Many new practical ethics, framed by scholars and practitioners since the 1980s, are promoted today by individuals and organizations, including national and international governmental organizations, civil society organizations (CSOs, also called NGOs), corporations, and even loosely structured grassroots movements. In what forms and at what levels of sustainability management are the new ethics to be adopted and pursued? This course seeks to identify, explain and consider such “sustainability ethics” and the ways in which sustainability managers can activate them, largely through issue-framing, agenda-setting, and policy, program and project design, inspection and review.   The course material is divided into three sections: challenges, pathways and practices. Challenges include the worldwide dimensions of ethical problems today; and the three particular problems of corruption, conflict and climate, which undercut economy, society and ecology, the three pillars characteristi

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• Instructor: Adela J Gondek
  CULPA: 2 Info
• 3 points

ESTATE PLANNING

This course examines the key concepts and skills a wealth management
professional must understand to support making critical decisions with respect to
estate planning. Students will first be introduced to the fundamental characteristics
and consequences of property titling, before studying the components of estate
planning documentation. This course will explore the various strategies used to
transfer property and all of the factors impacting and related to the transfer
process, including gift and estate tax compliance and tax calculation, estate
liquidity, marital deduction, non-traditional relationships, and the types, features,
and taxation of trusts. Students will also explore the various techniques for
postmortem estate planning and techniques for intra-family and other business
transfers of property. The course will also begin to explore estate planning in a
global context, addressing issues and considerations that may arise.

• Department: Wealth Management
• Instructor: Gail E Cohen
  Info
• 3 points

INDEPENDENT STUDY

• Department: Writing
• Instructor: Timothy B Donnelly
  Info
• 0.5-6 points

INDEPENDENT STUDY

• Department: Writing
• Instructor: Timothy B Donnelly
  Info
• Instructor: Rivka R Galchen
  CULPA: 6 Info
• 0.5-6 points

PROBABILITY & STAT FOR DATA SC

Prerequisites: Calculus This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.

• Department: Statistics
• TR 7:40 p.m.-8:55 p.m.
• Instructor: Tat Sang Fung
  Info
• 3 points

WATER GOVERNANCE

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Michael J Puma
  h-index: 23 Info
• 3 points

EXPLORATORY DATA ANALYSIS/VISUAL

Prerequisites: programming. This course is covers the following topics: fundamentals of data visualization, layered grammer of graphics, perception of discrete and continuous variables, intreoduction to Mondran, mosaic pots, parallel coordinate plots, introduction to ggobi, linked pots, brushing, dynamic graphics, model visualization, clustering and classification.

• Department: Statistics
• MW 4:10 p.m.-5:25 p.m.
• TR 4:10 p.m.-5:25 p.m.
• Instructor: Joyce T Robbins
  CULPA: 5 Info
• 3 points

EXPLORATORY DATA ANALYSIS/VISUAL

EXPLORATORY DATA ANALYS/

Prerequisites: programming. This course is covers the following topics: fundamentals of data visualization, layered grammer of graphics, perception of discrete and continuous variables, intreoduction to Mondran, mosaic pots, parallel coordinate plots, introduction to ggobi, linked pots, brushing, dynamic graphics, model visualization, clustering and classification.

• Department: Video Network
• Instructor: Joyce T Robbins
  CULPA: 5 Info
• 3 points

Intro to Digital Photography

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.

• Department: Visual Arts
• MW 10 a.m.-12:30 p.m.
• Instructor: Naeem Mohaiemen
  Wikipedia h-index: 8 Info
• 3 points

STAT INFERENCE & MODELING

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.

• Department: Statistics
• TR 6:10 p.m.-7:25 p.m.
• Instructor: Dobrin Marchev
  Info
• 3 points

Advanced Darkroom Photography

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

• Department: Visual Arts
• MW 2 p.m.-4:30 p.m.
• Instructor: Dana N Buhl
  Info
• 3 points

POLICY AND LEGAL CONTEXT FOR SUSTAINABIL

PLCY/LGL CNTX FOR SUSTAINABLTY

• Department: Sustainability Management
• M 6:10 p.m.-8 p.m.
• Instructor: Seth Kerschner
  Info
• 3 points

Minstrelsy and Popular Culture

Minstrelsy is one of America’s original forms of popular entertainment, and its formal, thematic, and narrative elements continue to reverberate throughout popular culture to this day. Indeed, given the close relationship between stage performance and the development of screen cultures, it should come as little surprise that many of the tropes and representational strategies that film and media adopted to portray blackness bore, and continue to bear, close relation to minstrelsy and blackface. This seminar will examine the ways that minstrelsy has played a crucial role in the evolution of American popular culture, especially in film and media. The course will focus on the complex function and legacy of minstrelsy, whether from the perspective of Jewish artists trying to establish their racial identities in early Hollywood, or African American artists attempting to subvert dominant representational modes.

• Department: Film
• R 9:10 a.m.-11:40 a.m.
• Instructor: Racquel Gates
  Info
• 3 points

EXPER STUDIES FOR POLITICS & ECONOMICS

EXPER STUDIES FOR POLS &

This course provides a broad, interdisciplinary introduction to two different styles of experimentation in the social science, lab and field.  We survey a diverse literature in an effort to encourage students to think about how they might design and implement theoretically informative experimental research that is sensitive to ethical boundaries.

• Department: Political Science
• W 2:10 p.m.-4 p.m.
• 4 points

SUSTAINABLE FOREST MANAGEMENT

BUSINESS OF SUST FORESTRY

The course intends to give an overview of forests – how they function, and how they can be managed sustainably. The course addresses both the ecology and economics of forests. Combining the study of these two disciplines is necessary to understand and develop management actions and solutions to deforestation.  The emphasis in integrating ecology and economics is going to be on learning tools and techniques for managing forests. The course accounts both for North American and forests in other countries, including tropical ones. Current typical conceptions of forests are somewhat paradoxical: forests are considered marginal in sustainability, and yet they connect with many issues of central concern such as biodiversity, climate change, household energy for the poor, homelands for indigenous people, water and human shelter, to name a few. More specifically, forests provide a fruitful line of inquiry into many environmental issues, such as the complex balances within ecosystems, global cycling of elements, such as carbon, the nature of sustainability, and interactions between economic development and the conservation of nature.  For example, we will study biodiversity in forests. Much biodiversity is found outside of forests, but our study will provide an understanding of the ecological dynamics involved with biodiversity, the possible management options, and its importance for human survival. The course is going to emphasize the role of forests in the carbon cycle and the contribution of deforestation to climate change.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Ralph C Schmidt
  Info
• 3 points

STORYTELLING WITH DATA

• Department: Applied Analytics
• F 10:10 a.m.-noon
• S 10:10 a.m.-noon
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• R 8:10 a.m.-10 a.m.
• R 8:10 p.m.-10 p.m.
• S 12:10 p.m.-2 p.m.
• F 12:10 p.m.-2 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Faith Bradley
  Info
• Instructor: Darshan Desai
  Info
• Instructor: Juan Melo
  Info
• Instructor: Christian Klose
  Info
• Instructor: Colleen Davy
  Info
• Instructor: Paula Darling
  Info
• Instructor: Michael Mangarella
  Info
• Instructor: Balmatee Bidassie
  Info
• Instructor: Tony M Ewing
  Info
• Instructor: Christian Klose
  Info
• 3 points

STORYTELLING WITH DATA

STORYTELLING WITH DATA ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Javid B Huseynov
  Info
• Instructor: Paula Darling
  Info
• 3 points

INTERNSHIP

• Department: Film
• Instructor: Hanna Seifu
  Info
• Instructor: Maureen A Ryan
  Info
• Instructor: Jack Lechner
  Info
• Instructor: Mynette Louie
  Wikipedia Info
• 1-3 points

Topics in Nursing Practice

TOPICS IN NURSING PRACTIC

This course is designed to introduce pre-licensure students to relevant and emergent topics which affect the practice of nursing in the national and international healthcare system. The focus will be on issues confronting professional nurses including global health, cultural awareness, gender identity, and evidence-based wellness. State mandated topics for licensure will be covered.

• Department: Nursing
• T 8 a.m.-8:50 a.m.
• 0-1 points

VISITING ARTIST LECT. I

VISITING ARTIST I

The component includes scheduled studio critiques with some of New York’s most distinguished art practitioners, and is meant to offer multiple perspectives relevant to the training of contemporary artists. The Visual Arts program invites 20-25 artists and critics a semester, and each student sees at least two Visiting Critics per semester.

• Department: Visual Arts
• T 6 p.m.-9 p.m.
• Instructor: Jace Clayton
  Info
• 0 points

VISITING ARTIST LECT. I

Visiting artists and critics are invited over the course of the academic year to give a one-hour lecture followed by discussion, and conduct 3 40-minute studio visits. These lecturers will join the previously listed Visiting Critics and will be available as one of your allotted studio visits each semester.

• Department: Visual Arts
• T 6 p.m.-9 p.m.
• Instructor: Nicola G Lopez
  CULPA: 1 Info
• 0 points

SPECIAL TOPICS IN WEALTH MANAGEMENT: DIS

DISRUPTIVE TRENDS

Columbia SPS is on the forefront of leading issues in the Wealth Management
profession. This course is designed to explore disruptive trends in the Wealth
Management industry and the opportunities and challenges that may result. As the
profession evolves, our graduates will be prepared to be leaders within all business
models across wealth management. Topics include, but are not limited to,
technology, client psychology, ESG/sustainable investing, financial products,
evolving fee structures, shifting demographics, increased regulatory burdens,
democratization of financial advice, and more.

• Department: Wealth Management
• Instructor: Matthias Kuhlmey
  Info
• 3 points

INTERNSHIP

• Department: Writing
• Instructor: Lis Harris
  Wikipedia Info
• 1-3 points

ACTUARIAL METHODS

ACTUARIAL METHODS I

The Actuarial Methods course explores models for evaluating and managing risks of life contingent contracts, their theoretical basis and applications. Topics include survival models, life insurance and annuity benefits, premium and reserve calculations related to policies on a single life, as well as option pricing. This course also covers materials relevant to the long-term section of the Fundamentals of Actuarial Mathematics (FAM) exam of the Society of Actuaries. This is a core course of the M.S. in Actuarial Science program.

• Department: Actuarial Science
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Yubo Wang
  Info
• 3 points

ADVANCED ACTUARIAL METHODS

ACTUARIAL METHODS II

The purpose this class is to develop the student’s knowledge of the theoretical basis of certain actuarial models and the application of those models to insurance and other financial risks. A thorough knowledge of calculus, probability, and interest theory is assumed. Knowledge of risk management at the level of Exam P is also assumed. The combination of these two classes covers the material for the FAM-L and ALTAM examinations of the Society of Actuaries. This is a core class of the Actuarial Science program. Students who have already taken and passed the MLC or LTAM exam for SOA are exempted from this class and can substitute an elective.

• Department: Actuarial Science
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Abraham Weishaus
  Info
• 3 points

ACTUARIAL MODELS

This course provides an introduction to the tools for pricing and reserving for short term insurance. We will discuss methods for calculating IBNR reserves, ratemaking, frequency and severity models used for modeling coverage modifications, statistical methods for fitting, evaluating, and selecting parametric models for frequency and severity, and three credibility methods. This class covers the short-term material of Exam FAM and also covers the material of Exam ASTAM of the Society of Actuaries, and some of the material on Exams MAS I, MAS II, and 5 of the Casualty Actuarial Society. This is a core class of the Actuarial Science program. Students who have already taken and passed the FAM exam (or its short term portion) and the ASTAM exam administered by the SOA are exempted from this class and can substitute an elective.

• Department: Actuarial Science
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Abraham Weishaus
  Info
• 3 points

Advanced Predictive Modeling Application

ACTUARIAL MODELS II

This course discusses Bayesian methods for estimating linear models. We discuss three methods for estimating the Bayesian posterior: grid approximation, quadratic approximation, and Markov Chain Monte Carlo (MCMC) methods. Bayesian methods are used to estimate linear regression models and generalized linear models. We also use Bayesian methods to estimate multilevel models, also known as linear mixed models. We also estimate linear mixed models using non-Bayesian methods. We learn how to build, estimate, and evaluate these models and how to select the best one. This class covers most of the material of Exam MAS II of the Casualty Actuarial Society. This is a core class of the Actuarial Science program. Students may take either this class or Actuarial Methods II. Those who have already taken and passed the MAS II exam for CAS are exempted from this class and can substitute an elective.

• Department: Actuarial Science
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Abraham Weishaus
  Info
• 3 points

MODELS FOR FINANCE & ECONOMICS

• Department: Actuarial Science
• TR 8:40 a.m.-9:55 a.m.
• Instructor: Yubo Wang
  Info
• 3 points

CRITICAL ISSUES I

• Department: Visual Arts
• F 2 p.m.-4 p.m.
• Instructor: Jules Gimbrone
  Info
• 3 points

DENTAL MATERIALS I

• Department: Dental and Oral Surgery
• 0 points

PREDICTIVE MODELING IN FINANCE & INSURAN

PREDICT MODLNG IN FIN & INSRNC

This course introduces to the students, generalized linear models (GLM), time series models, and some popular statistical learning models such as decision trees models as well as random forests and boosting trees.  The aim for GLM is to provide a flexible framework for the analysis and model building using the likelihood techniques for almost any data type. The aim for the statistical learning models is to build and predict or understand data structure (if unsupervised) using statistical learning methods such as tree-based for supervised learning and the Principle Component Analysis and Clustering for unsupervised learning.  It develops a student’s knowledge of the theoretical basis in predictive modeling, computational implementation of the models and their application in finance and insurance. Tools such as cross-validation and techniques such as regularization and dimension reduction for fitting and selecting models are explored.  We also implement these models using a combination of Excel and R. The class covers the material of Exams, Statistics for Risk Modeling (SRM) and Predictive Analytics (PA) of Society of Actuaries, and some material of Exams, Modern Actuarial Statistics I (MAS-I) and MAS II by the Casualty Actuarial Society. This is a core course for the Actuarial Science students. Students who have already taken and passed the SRM and PA exams administered by the SOA are exempted from this class and can substitute an elective.

• Department: Actuarial Science
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Lina Xu
  Info
• 3 points

GRADUATE STUDIO I

• Department: Visual Arts
• M 10:10 a.m.-noon
• Instructor: Jace Clayton
  Info
• 3 points

GRADUATE STUDIO I

• Department: Visual Arts
• M 4 p.m.-10 p.m.
• Instructor: Nicola G Lopez
  CULPA: 1 Info
• 3 points

DATA SCIENCE IN FINANCE AND INSURANCE

DATA SCIENCE IN FIN & INSURANC

This course explores machine learning models, their theoretical basis, computing implementation and applications in finance and insurance.  It discusses machine learning models for regression, classification and unsupervised learning;  tools such as cross validation and  techniques such as regularization, dimension reduction and ensemble learning;  and select algorithms for fitting machine learning models.  This course offers students an intensive hands-on experience where they combine theoretical understanding, domain knowledge and coding skills to better inform data-driven decision making. Some topics covered are relevant to the statistical learning portion of the Society of Actuaries (SOA) and the Casualty Actuarial Society (CAS) curricula, and the quantitative methods section of the Chartered Financial Analyst (CFA) Institute curriculum.  This is a core course of the Actuarial Science program.

• Department: Actuarial Science
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Yubo Wang
  Info
• 3 points

GLOBAL CAPITAL MARKET & INVESTMENT

GLOBAL CAPITAL MRKT & INVSTMNT

This course will introduce students to major issues currently of concern to all investors. It can give you the skills to conduct a sophisticated assessment of current issues and debates covered by the popular media as well as more-specialized finance journals. These skills are essential for people who pursues a financial service career, especially in today’s rapidly evolving environment. The material presented in this course are both practical important and intellectually interesting. This course is consistent with and relevant to Chartered Financial Analyst (CFA) curriculum. It covers all subjects in CFA test and most of problems are in the same format as the CFA examination questions. This course will also provide a foundation for further study in Financial Risk Management and Financial market related courses.

• Department: Actuarial Science
• W 3:10 p.m.-5:55 p.m.
• 3 points

QUANTITATIVE RISK MANAGEMENT

QUANTITATIVE RISK MGMT

Risk Management becomes more and more important in the financial industry especially after the global financial crisis. Large financial institutions are facing high regulatory pressure from the government and public. In response to this pressure, risk management in the financial industry has been transformed dramatically over the past decade. Today, about 50 percent of the function’s staff are dedicated to risk-related operational processes such as credit administration, while 15 percent work in analytics. McKinsey research suggests that by 2025, these numbers will reach 25 and 40 percent, respectively. This course is designed to provide students with a high-level overview of modern risk management. This is then followed by an in-depth examination of the techniques and management structures used to assess and control risk, including a detailed discussion on the implementation of Value-at-Risk, which is becoming the de facto standard for measuring risk across all the major classes: market, credit, liquidity and operational. This course is consistent with and relevant to Financial Risk Manager (FRM) curriculum. It covers majority of FRM learning objectives in the test and it is deeper in the quantitative modelling and analysis.

• Department: Actuarial Science
• F 10:10 a.m.-12:55 p.m.
• 3 points

RISK MANAGEMENT IN P&C INSURANCE

RISK MGMT IN P&C INSURANCE

Insurance company risk management practices and requirements have evolved significantly over the last ten years, with the advances in regulation (e.g., Solvency II, NAIC ORSA) and rating agency oversight. This elective course is designed for individuals interested in moving into risk analysis roles within property and casualty (P&C) insurance, also known as general insurance. It provides a practical review of leading quantitative risk assessment and analysis practices at P&C insurance companies. The course will give you a sound understanding of quantitative risk analysis principles that will help you expand your influence in your organization and improve the way you communicate about risk to regulators, rating agencies, and boards. The course focuses on current industry practices, critical analysis skills of risk, and the development and delivery of professional work products, to influence decision makers. The course is divided into three parts:

Introduction to P&C Insurance: you will review the unique characteristics of P&C insurers, including underwriting, claims, premiums, policy wordings, insurance law, and regulation;

Risk Analysis: you will gain a deep understanding of the key principles underlying the implementation and application of risk management within an organization, including qualitative aspects such as framework, governance and processes, as well as quantitative methods of risk measurement and modeling; and

Application: through a real life case study, you will work in a group to synthesize the quantitative risk analysis concepts with the realities of P&C insurance company information sources, develop and present a professional consulting work product to a real guest business leader from the insurance risk management community.

• Department: Actuarial Science
• M 6:10 p.m.-8:55 p.m.
• 3 points

ORAL COMMUNICATIONS FOR ACTUARIAL PROFES

ORAL COMM FOR ACTUARIAL P

This course is a workshop in communication techniques and professional development. Students make presentations individually and in teams. Actuarial science can be complex and to be successful in the field will require effective communication skills to simplify and explain the complex.  The course covers communicating effectively, professional development, structuring presentations, delivery techniques and presentations.  The main objective for the course is to help students take the complex including business trends and communicate it in a manner that can be understood by the target audience. We will focus on improving communication skills, networking, interview skills, job opportunities and career development.

• Department: Actuarial Science
• M 3:10 p.m.-5:55 p.m.
• 3 points

THESIS DEVELOPMENT SEMINAR

Incoming M.A. students aiming for the thesis-based program are guided through the process of defining a research question, finding an advisor, and preparing a research proposal. By the end of the semester the students will have a written research proposal to submit to potential advisors for revision. Subject to a positive review of the research proposal, students are allowed to continue with the thesis-based program and will start working with their advisor. The course will also provide an opportunity to develop basic skills that will facilitate the reminder of the student's stay at E3B and will help in their future careers.

• Department: Ecology, Evolution, and Environmental Biology
• R 12:10 p.m.-2 p.m.
• Instructor: Bekka Brodie
  Info
• 3 points

Grad Sem I in Sound Art & Related Media

Grad Seminar I in Sound A

The Graduate Seminar in Sound Art and Related Media is designed to create a space that is inclusive yet focused on sound as an art form and a medium. Class time is structured to support, reflect, and challenge students as individual artists and as a community. The course examines the medium and subject of sound in an expanded field, investigating its constitutive materials, exhibition and installation practices, and its ethics in the 21st century. The seminar will focus on the specific relations between tools, ideas, and meanings and the specific histories and theories that have arisen when artists engage with sound as a medium and subject in art. The seminar combines discussions of readings and artworks with presentations of students' work and research, as well as site visits and guest lectures.   While the Columbia Visual Arts Program is dedicated to maintaining an interdisciplinary learning environment where students are free to use and explore different mediums while also learning to look at, and critically discuss, artwork in any medium, we are equally committed to providing in-depth knowledge concerning the theories, histories, practices, tools and materials underlying these different disciplines. We offer Graduate Seminars in different disciplines, or combinations of disciplines, including moving image, new genres, painting, photography, printmaking, sculpture, as well as in Sound Art in collaboration with the Columbia Music Department through their Computer Music Center. These Discipline Seminars are taught by full-time and adjunct faculty, eminent critics, historians, curators, theorists, writers, and artists.

• Department: Visual Arts
• R 12:10 p.m.-4 p.m.
• Instructor: Jace Clayton
  Info
• 3 points

GROUP CRITIQUE I

• Department: Visual Arts
• W 5:30 p.m.-9:30 p.m.
• 3 points

PUBLIC RELATIONS AND CORPORATE COMMUNICA

PR & CORPORATE COMMUNICAT

This elective is designed for students looking to launch careers in public relations and corporate communications across organizations, from corporate, non-profit, start-up and/or governmental institutions. Course content will provide students with a broad overview of the PR and corporate communications function and foundational communication theory, along with hands-on, tactical training in modern public relations practice. Topics covered include strategic messaging and storytelling, working with the press to generate media coverage, leveraging social media and managing reputations online, crisis communication, public relations ethics and media law, engaging internal and external audiences, and evaluating corporate communications efforts.

• Department: Auditing
• T 8:10 p.m.-10 p.m.
• Instructor: Alexandra M Merceron
  Info
• 0 points

PUBLIC RELATIONS AND CORPORATE COMMUNICA

PR & CORPORATE COMMUNICATION

This elective is designed for students looking to launch careers in public relations and corporate communications across organizations, from corporate, non-profit, start-up and/or governmental institutions. Course content will provide students with a broad overview of the PR and corporate communications function and foundational communication theory, along with hands-on, tactical training in modern public relations practice. Topics covered include strategic messaging and storytelling, working with the press to generate media coverage, leveraging social media and managing reputations online, crisis communication, public relations ethics and media law, engaging internal and external audiences, and evaluating corporate communications efforts.

• Department: Strategic Communication
• T 8:10 p.m.-10 p.m.
• Instructor: Alexandra M Merceron
  Info
• 3 points

ARTIST MENTORSHIP I

The Artist-Mentor program allows a close and focused relationship to form between a core group of ten to fifteen students and their mentor. You will be assigned two mentors according to your preferences. You will meet with both of your Mentors each semester in separate one-week workshops. The content of the workshop will vary according to the Mentors’ area of interest, expertise, and the needs of the students. Mentor weeks may include individual critiques, group critiques, studio visits, visits to galleries, other artist's studios, museums, special site visits, readings, and writing workshops.

• Department: Visual Arts
• 3 points

SKILLS PRACTICUM

• Department: Negotiation & Conflict Resolution
• SUSU 9 a.m.-5 p.m.
• Instructor: Robert Anderson
  h-index: 77 Info
• 3 points

Geographies of Environmental Justice and

The origin of the American Environmental Justice Movement can be traced back to the emergence of the American
Civil Rights Movement of the 1960s, and more specifically to the U.S. Civil Rights Act of 1964. These historical
moments set the stage for a movement that continues to grow with present challenges and widening of economic,
health and environmental disparities between racial groups and socioeconomic groups. The environmental justice
movement builds upon the philosophy and work of environmentalism, which focuses on humanity’s adverse impact
upon the environment, entailing both human and non-human existence. However, environmental justice stresses the
manner in which adversely impacting the environment in turn adversely impacts the population of that environment.
At the heart of the environmental justice movement are the issues of racism and socioeconomic injustice.
This course will examine the intersections of race, equity, and the environment – focusing on history and the
growing role and impact of the environmental justice movement in shaping new sustainability discourses, ethics,
policies, and plans for the twenty-first century. Environmental Justice embeds various disciplines into its analytical
framework ranging from human geography and history to urban studies, economics, sociology, environmental
science, public policy, community organizing, and more. Drawing from these disciplines, as well as from recent
policies, advocacy, and regulations, students will develop a deeper understanding of equity, sustainability, social
impact, and environmental justice in places and spaces across the nation.
Building on the broadness of environmental justice and sustainability, this course will use the geography lens and
frameworks, building on the concept that geography brings together the physical and human dimensions of the
world in the study of people, places, and environments. Geography will set the stage for us to explore a variety of
environmental justice topics and issues in different regions across the nation, from the Black Belt South to the Rust
Belt to Cancer Alley, New Orleans, and Atlanta; then back to New York City and the metropolitan area, introducing
students to initiatives, policies, stakeholders, research, community groups, and advocacy involved in the
development and implementation of environmental laws, policies, practices, equity-based solutions, and sustainable
infrastructure. Throughout the c

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: John E Williams
  Info
• 3 points

PROSEMINAR IN ACTUARIAL SCIENCE

Industry representatives conduct a series of noncredit seminar sessions designed to expose students to the actuarial profession as well as to address a range of topics in actuarial science.

• Department: Actuarial Science
• TR 4:10 p.m.-6 p.m.
• Instructor: Lina Xu
  Info
• 2 points

CAPSTONE

TBA

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Rich Lauria
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• Instructor: Rajeev Dave
  Info
• Instructor: Aristargos Christodoulou
  Info
• Instructor: Xue Bai
  Info
• Instructor: Benjamin M Perlman
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• Instructor: Rich Lauria
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• Instructor: David A. Bartholomew
  Info
• 3 points

INSURANCE RISK MANAGEMENT

• Department: Insurance Management
• Instructor: Kenneth Radigan
  Info
• 3 points

CAPSTONE PROJECT

TBA

• Department: Narrative Medicine
• Instructor: Danielle R Spencer
  h-index: 5 Info
• Instructor: Vivian D Heller
  Info
• 2-4 points

CAPSTONE

In the fourth semester, students will develop a comprehensive financial plan based
upon a specific client case, taking all elements of a client’s financial profile into
consideration. Students will be expected to demonstrate foundational knowledge
of all aspects of the wealth management curriculum in this course in order to
develop this financial plan. The capstone experience for this program is a dualfocus
on both the written as well as the oral components of the financial plan.

• Department: Wealth Management
• Instructor: Marc Richman
  Info
• 3 points

Private Equity and Venture Cap

• Department: Accounting (ACCT)
• Instructor: Faculty
  h-index: 37 Info
• 3 points

Private Equity and Venture Cap

• Department: Accounting (ACCT)
• Instructor: Faculty
  h-index: 37 Info
• 3 points

RADIOLOGY I

• Department: Dental and Oral Surgery
• 0 points

Capital Markets & Financing

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

INDEPENDENT STUDY

• Department: Visual Arts
• Instructor: Jace Clayton
  Info
• Instructor: Seth Cluett
  h-index: 4 Info
• 1-6 points

INDEPENDENT STUDY

• Department: Visual Arts
• Instructor: Gregory Amenoff
  CULPA: 6 Wikipedia Info
• Instructor: Matthew E Buckingham
  Wikipedia Info
• Instructor: Delphine A Fawundu
  Wikipedia Info
• Instructor: Jon Kessler
  CULPA: 5 Wikipedia Info
• 1-3 points