TRADITIONAL ERM PRACTICES

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Peter Bruzzese
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• Instructor: Penny Cagan
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• Instructor: Sandra del Guercio
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• Instructor: James S Kim
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• 3 points

TRADITIONAL ERM PRACTICES

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• 3 points

PRIN/APPL OF SOCIETY & CULTURE

Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.

• Department: Anthropology
• T 2:10 p.m.-4 p.m.
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• 3 points

QUANT MTHDS IN INVESTMENT MGMT

Prerequisites: Knowledge of statistics basics and programming skills in any programming language. Surveys the field of quantitative investment strategies from a buy side perspective, through the eyes of portfolio managers, analysts and investors. Financial modeling there often involves avoiding complexity in favor of simplicity and practical compromise. All necessary material scattered in finance, computer science and statistics is combined into a project-based curriculum, which give students hands-on experience to solve real world problems in portfolio management. Students will work with market and historical data to develop and test trading and risk management strategies. Programming projects are required to complete this course.

• Department: Mathematics
• R 7:40 p.m.-10 p.m.
• 3 points

EXTERNAL STAKEHOLDER REQUIREMENTS

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Rich Lauria
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• Instructor: R S Forston
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• 3 points

CAPITAL MARKETS & INVESTMENTS

Risk/return tradeoff, diversification and their role in the modern portfolio theory, their consequences for asset allocation, portfilio optimization. Capitol Asset Pricing Model, Modern Portfolio Theory, Factor Models, Equities Valuation, definition and treatment of futures, options and fixed income securities will be covered.

• Department: Mathematics
• S 7 p.m.-9:20 p.m.
• 3 points

STRATEGIC COMMUNICATIONS FOR RISK PROFES

STRATEGIC COMM FOR RISK P

• Department: Enterprise Risk Management
• T 2:10 p.m.-4 p.m.
• T 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Sim Segal
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• Instructor: Rod Aday
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• Instructor: Neil Barman
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• 3 points

HEDGE FUNDS STRATEGIES & RISK

The hedge fund industry has continued to grow after the financial crisis, and hedge funds are increasingly important as an investable asset class for institutional investors as well as wealthy individuals. This course will cover hedge funds from the point of view of portfolio managers and investors. We will analyze a number of hedge fund trading strategies, including fixed income arbitrage, global macro, and various equities strategies, with a strong focus on quantitative strategies. We distinguish hedge fund managers from other asset managers, and discuss issues such as fees and incentives, liquidity, performance evaluation, and risk management. We also discuss career development in the hedge fund context.

• Department: Mathematics
• T 8:10 p.m.-10 p.m.
• 3 points

DENTAL ANATOMY & MORPHOLOGY

• Department: Dental and Oral Surgery
• 0 points

PRE-CLINICAL OPPERATIVE DENT

PRE-CLINICAL OP DENT

• Department: Dental and Oral Surgery
• 0 points

PRECLINICAL OPERATIVE DENTISTRY LAB

PRECLIN OPERTV DENT LAB

• Department: Dental and Oral Surgery
• Instructor: Roseanna Graham
  h-index: 4 Info
• 0 points

Oral Health Considerations for Patients

Special Health Care Needs

• Department: Dental and Oral Surgery
• Instructor: Emily R Byington
  Info
• 0 points

Oral Health Considerations for Patients

Special Health Care Needs

• Department: Dental and Oral Surgery
• 0 points

STRATEGIC RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 4:10 p.m.-6 p.m.
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Violet Diamant
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• Instructor: Raj Mittal
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• Instructor: Melody Feinberg
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• Instructor: Celia Kapsomera
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• Instructor: Carlo Di Florio
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• 3 points

OPERATIONAL RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Rossano Rossi
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• Instructor: Francis Tobin
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• Instructor: Chris Lee
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• Instructor: Nabeed Zaman
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• Instructor: Mark Jankiewicz
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• Instructor: Umesh Akki
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• Instructor: Lisa Broomer
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• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• W 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: David J Romoff
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• 3 points

CODING FOR RISK MANAGEMENT

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: David Weltz
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• Instructor: Zaur Nurtaza
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• 3 points

FINANCIAL RISK MANAGEMENT

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Marcus Eich
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• Instructor: Justin Hon
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• 3 points

ETHICAL ISSUES IN MUSEUMS

Ethical questions about museum activities are legion, yet they are usually only discussed when they become headlines in newspapers. At the same time, people working in museums make decisions with ethical and legal issues regularly and seldom give these judgments even little thought. In part, this is due to the fact that many of these decisions are based upon values that become second nature. This course will explore ethical issues that arise in all areas of a museum's operations from governance and management to collections acquisition, conservation, and deaccessioning. We will examine the issues that arise when the ownership of objects in a museum's are questioned; the ethical considerations involved in retention, restitution and repatriation; and what decolonization means for museums.

• Department: Anthropology
• F 2:10 p.m.-4 p.m.
• Instructor: Sally Yerkovich
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• 3 points

FRM PRACTICES

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: Qingji Yang
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• 3 points

QUANTITATIVE RISK MANAGEMENT

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Jeffrey Nisen
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• 3 points

INSURANCE RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Ding Dai
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• 3 points

CREDIT RISK MANAGEMENT

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Christakis Droussiotis
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• Instructor: Sudeep Arora
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• 3 points

CAPSTONE

Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.

• Department: Non Profit Management
• Instructor: Basil A Jr Smikle
  Info
• 3 points

NON-LINEAR OPTION PRICING

Prerequisites: familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Prerequisites: Familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Nonlinear Option Pricing is a major and popular theme of research today in quantitative finance, covering a wide variety of topics such as American option pricing, uncertain volatility, uncertain mortality, different rates for borrowing and lending, calibration of models to market smiles, credit valuation adjustment (CVA), transaction costs, illiquid markets, super-replication under delta and gamma constraints, etc. The objective of this course is twofold: (1) introduce some nonlinear aspects of quantitative finance, and (2) present and compare various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.

• Department: Mathematics
• F 6 p.m.-8:10 p.m.
• 3 points

MARKET RISK MANAGEMENT

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Zwecher
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• Instructor: Deniz Ozenbas
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• 3 points

CREDIT RISK ANALYTICS

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Christopher Mann
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• Instructor: Douglas W Dwyer
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• 3 points

MODEL & TRADE DERIVATIVES

Required Prerequisite: Math GR5010 Intro to the Math of Finance (or equivalent). Recommended Prerequisite: Stat GR5264 Stochastic Processes – Applications I (or equivalent).

The objective of this course is to introduce students, from a practitioner’s perspective with formal derivations, to the advanced modeling, pricing and risk management techniques of vanilla and exotic options that are traded on derivatives desks, which goes beyond the classical option pricing courses focusing solely on the theory. It also presents the opportunity to design, implement and backtest vol trading strategies. The course is divided in four parts: Advanced Volatility Modeling; Vanilla and Exotic Options: Structuring, Pricing and Hedging; FX/Rates Components: Discounting, Forward Projection, Quanto and Compo Options; Designing and Backtesting Vol Trading Strategies in Python.

• Department: Mathematics
• S 10:10 a.m.-noon
• 3 points

LIQUIDITY RISK MANAGEMENT

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

ADVANCED MACHINE LEARNING FOR FINANCE

ADV MACHINE LEARNING FOR

• Department: Mathematics
• T 12:10 p.m.-2 p.m.
• 3 points

BLOCKCHAIN AND ERM

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• 3 points

PRIVACY RISK MANAGEMENT

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Erin Bansal
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• 3 points

Supervised Research

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

• Department: Biological Sciences
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Supervised Research

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

• Department: Biological Sciences
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Introduction to Medieval Manuscript Stud

Intro to Medieval Manuscr

This team-taught course introduces methods for studying medieval manuscripts through weekly hands-on instruction and assignments. Students will become acquainted with the collections of medieval manuscripts at Columbia, and will learn from the scholars at Columbia who specialize in the material study of manuscripts as artifacts as well as in types of manuscripts as defined by their textual contents. The course provides a foundation for advanced work and satisfies the material text requirement of the MA in Medieval and Renaissance Studies.

• Department: Medieval and Renaissance Studies
• F 10 a.m.-1 p.m.
• Instructor: Emily Runde
  Info
• 4 points

Supervised Independent Research

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

• Department: Biological Sciences
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Supervised Independent Research

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

• Department: Biological Sciences
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

COMPANY FAILURES

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Adam H Litke
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• Instructor: Steve Lindo
  Info
• 3 points

MAFN FIELDWORK

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.

• Department: Mathematics
• Instructor: Jaehyuk Choi
  Info
• 1-3 points

RISK REGULATIONS IN FINANCE

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Jean Michel Ngalikpima
  Info
• Instructor: Eric Goetz
  Info
• 3 points

Career Development for Quantitative Fina

Career Develop for Quant

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.

• Department: Mathematics
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Jaehyuk Choi
  Info
• 0 points

Topics in Mathematical Finance

The purpose of this course is for MA in Mathematics of Finance students to gain knowledge and practical skills that are essential in the finance industry. The course will run as a series of lectures and discussions on various relevant topics, such as business communications and career talks that may feature guest speakers from the industry as well as the full-time faculty members. This will prepare the students for their job search, networking, and in their industry jobs in the future.

• Department: Mathematics
• TR 6:10 p.m.-7:25 p.m.
• Instructor: Jaehyuk Choi
  Info
• 0 points

ESG AND ERM

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Helda Rock
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• Instructor: Jean Michel Ngalikpima
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• Instructor: Tahmina Day
  Info
• 3 points

DERIVATIVES RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Alberto Scalari
  Info
• 3 points

MANAGING STAKEHOLDER RISK IN THE ORGANIZ

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Kristen Walters
  Info
• 3 points