ADVANCED TOPICS IN IEOR

READING GROUP ON BEHAVIOR FINA

Prerequisites: Faculty adviser's permission.
Selected topics of current research interest. May be taken more than once for credit.

• Department: Industrial Engineering and Operations Research
• W 4:10 p.m.-6:40 p.m.
• Instructor: Xunyu Zhou
  h-index: 54 Info
• 3 points

ADVANCED TOPICS IN IEOR

Networks:Games,Contagion&Ctrl;

Prerequisites:
faculty adviser's permission.

Selected topics of current research interest. May be taken more than once for credit. Please refer to the course site for more information.

• Department: Industrial Engineering and Operations Research
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Agostino Capponi
  h-index: 19 Info
• 3 points

ADVANCED TOPICS IN IEOR

GREAT PRESENTATIONS

Prerequisites: Faculty adviser's permission.
Selected topics of current research interest. May be taken more than once for credit.

• Department: Industrial Engineering and Operations Research
• MW 10 a.m.-noon
• Instructor: Janet Kayfetz
  Info
• 0 points

ADVANCED APPLICATION OF THEORY TO PRACT

ADV APPL THEORIES TO PRAC

• Department: Rehabilitation Medicine (RMED)
• Instructor: Lenin Grajo
  h-index: 10 Info
• 3 points

FICTION THESIS WORKSHOP

• Department: Writing
• W 12:05 p.m.-3:05 p.m.
• R 11 a.m.-2 p.m.
• W 3:10 p.m.-6:10 p.m.
• T 10 a.m.-1 p.m.
• M 12:05 p.m.-3:05 p.m.
• R 4:30 p.m.-7:30 p.m.
• W 12:05 p.m.-3:05 p.m.
• W 3:50 p.m.-6:50 p.m.
• Instructor: Victor D Lavalle
  CULPA: 2 Wikipedia Info
• Instructor: Joshua Furst
  Wikipedia Info
• Instructor: Binnie Kirshenbaum
  Wikipedia Info
• Instructor: Victor D Lavalle
  CULPA: 2 Wikipedia Info
• Instructor: Samuel Lipsyte
  CULPA: 5 Info
• Instructor: Ben Metcalf
  Info
• Instructor: Elissa Schappell
  Wikipedia Info
• Instructor: Gary Shteyngart
  Wikipedia Info
• 9 points

TOPICS IN APPLIED STATISTICS

Applied Causality

We will study applied causality, especially as it relates to Bayesian modeling.  Topics include probabilistic graphical models, potential outcomes, posterior predictive checks, and approximate posterior inference.   Each student will embark on a semester-long project around applied causal inference.

• Department: Statistics
• Instructor: David Blei
  Wikipedia h-index: 98 Info
• 3 points

POR CAREER DEVELOPMENT COLLOQUIUM

• Department: Biostatistics
• T 3 p.m.-3:50 p.m.
• 0.5 points

NEUROSCIENCE AND COGNITION

SUPERVISN-APPRCH-SPECLZD ROLES

• Department: Rehabilitation Medicine (RMED)
• Instructor: Katherine Dimitropoulou
  Info
• 3 points

STRUC DETERMINATION INORG CHEM

STRUC DETERMINATION IN INORG C

• Department: Chemistry
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Gerard F Parkin
  CULPA: 30 Wikipedia Info
• 2.5 points

ASSYRIN ART

• Department: Art History and Archaeology
• W 4:10 p.m.-6 p.m.
• Instructor: Zainab Bahrani
  CULPA: 11 Wikipedia Info
• 4 points

NEUROSCIENCE

• Department: Rehabilitation Medicine (RMED)
• Instructor: Stacy Kinirons
  Info
• 4 points

KINETICS

• Department: Chemistry
• TR 8:40 a.m.-9:55 a.m.
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 points

Operations Strategy

• Department: Decision, Risk and Operations
• MW 9 a.m.-10:30 a.m.
• MW 10:45 a.m.-12:15 p.m.
• MW 2:15 p.m.-3:45 p.m.
• MW 4 p.m.-5:30 p.m.
• Instructor: Medini Singh
  Info
• 1.5 points

SEM-HISTORCL MUSICOLGY-BAROQUE

SEM-HIST MUSI-BAROQUE: VENICE

• Department: Music
• W 2:10 p.m.-4 p.m.
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• 3 points

S Tech & Venture Capital

• Department: Law
• Instructor: Sean J Stenstrom
  Info
• 2 points

SUPPLY CHAIN MANAGEMENT

Supply Chain Management

• Department: Decision, Risk and Operations
• R 9 a.m.-12:15 p.m.
• R 2:15 p.m.-5:30 p.m.
• Instructor: Medini Singh
  Info
• 3 points

SUPPLY CHAIN MANAGEMENT

• Department: Industrial Engineering and Operations Research
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Awi Federgruen
  Wikipedia Info
• 3 points

S INFORMATION PRIVACY

• Department: Law
• Instructor: Clarisa Long
  Info
• 2 points

SEM-HISTORCL MUSICLGY-CLASSIC

SEM IN HIST MUSIC: COMIC OPERA

Topic to be announced.

• Department: Music
• M 4:10 p.m.-6 p.m.
• Instructor: Julia Doe
  Info
• 3 points

STATISTICAL INFERENCE

Prerequisite: Public Health P8104. Suggested preparation: P6104, P8104
and working knowledge of calculus, population parameters, sufficient statistics. Basic distribution theory. Point and interval estimation. Method of maximum likelihood. Method of least squares regression. Introduction to the theory of hypothesis testing. Likelihood ration tests. Nonparametric procedures. Statistical design theory.

• Department: Biostatistics
• TR 1 p.m.-2:20 p.m.
• Instructor: Arindam Roychoudhury
  Info
• 3 points

CONCISE ORGANOMETALLIC CHEM

• Department: Chemistry
• TRTR 8:40 a.m.-9:55 a.m.
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 points

APPLIED REGRESSION II

Prerequisite: Public Health P6104, P8100 and a working knowledge of calculus.
An introduction to the application of statistical methods in survival analysis, generalized linear models, and design of experiments. Estimation and comparison of survival curves, regression models for survival data, log-linear models, logit models, analysis of repeated measurements, and the analysis of data from blocked and split-plot experiments. Examples drawn from the health sciences.

• Department: Biostatistics
• TR 10 a.m.-11:20 a.m.
• Instructor: Qixuan Chen
  h-index: 27 Info
• 3 points

THESIS SEMINAR

• Department: Rehabilitation Medicine (RMED)
• Instructor: Glen Gillen
  Info
• 1 points

SCENE STUDY

• Department: Theatre Arts
• R 10 a.m.-12:50 p.m.
• Instructor: Gregory Mosher
  Wikipedia Info
• 3 points

LINEAR REGRESSION MODELS

This is a Public Health Course.  Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Biostatistics
• TR 10 a.m.-11:20 a.m.
• Instructor: Codruta Chiuzan
  Info
• 3 points

QUANT FIN: MODELS & COMPUTATN

Quantitative Finance: Models a

• Department: Decision, Risk and Operations
• W 4 p.m.-7:15 p.m.
• Instructor: Achilles Venetoulias
  Info
• 3 points

MEDICAL SCREENING

• Department: Rehabilitation Medicine (RMED)
• Instructor: Michael Johson
  Info
• 2 points

ETRUCSCAN BODIES: REP, IDEALS, CONTEXTS

ESTRUCAN BODIES:REP,IDEAL,CONT

• Department: Art History and Archaeology
• W 6:10 p.m.-8 p.m.
• Instructor: Francesco de Angelis
  CULPA: 10 Info
• 4 points

PSYCHOPHARM-PSYCH/MENTAL HLTH

• Department: Nursing
• 1 points

HELLENISTIC SCULP-PATHOS& BODY DECREPITU

HELLENISTIC SCULP-PATHOS&BODY;

In the past decades, the study of Greek sculpture has focused – with some notable exceptions – on a rather contextual and functional understanding of images in the round. Approaches that placed emphasis on stylistic analyses and attributions to known artists have been deemed rather outdated. The problematic result hereof is that past attributions that often go back to 19thcentury scholarship are rarely criticized, since Meisterforschung is not any more taught. Aim of this graduate seminar is to bring together current tendencies in the study of Greek sculpture (understanding of functionalities, image-space relationship, modes of dynamic viewing, materiality etc) with a more traditional approach that attempts to identify the artist behind the image based on stylistic means and a thorough knowledge of the ancient sources on artists’ biographies and works. In doing so, the graduate seminar will attempt to place firmly the individual (= the artist) in the context of scholarly research on ancient Greek sculpture. Throughout the seminar, the Roman view of and approach to Greek sculpture from the 5th and 4th centuries will play a significant role, since our modern understanding of Greek art has been greatly shaped by the Roman appreciation and appropriation of Greek artistic achievements.

• Department: Art History and Archaeology
• M 4:10 p.m.-6 p.m.
• Instructor: Ioannis Mylonopoulos
  CULPA: 13 Info
• 4 points

Applied Regression Analysis

• Department: Decision, Risk and Operations
• T 9 a.m.-12:15 p.m.
• T 2:15 p.m.-5:30 p.m.
• Instructor: David Juran
  Info
• 1.5 points

SEM-NEGOTIATION WORKSHOP

This is a Law School course.  For more detailed course information, please go to the
Law School Curriculum Guide
at:
http://www.law.columbia.edu/courses/search

• Department: Law
• 3 points

SEM-NEGOTIATION WORKSHOP

This is a Law School course.  For more detailed course information, please go to the
Law School Curriculum Guide
at:
http://www.law.columbia.edu/courses/search

• Department: Law
• Instructor: Dina Jansenson
  Info
• Instructor: Mavis K Fowler
  Info
• Instructor: Daniel S Serviansky
  Info
• Instructor: Steven M Rabinowitz
  Info
• Instructor: Michelle A Greenberg-Kobrin
  Info
• Instructor: Avery W Katz
  Info
• Instructor: Paul Sarkozi
  Info
• Instructor: David S Ross
  Info
• 3 points

THEMES IN INTL POL THEORY

• Department: Political Science
• T 12:10 p.m.-2 p.m.
• Instructor: Turkuler Isiksel
  CULPA: 3 h-index: 9 Info
• 4 points

DESIGN OF MEDICAL EXPERIMENTS

Prerequisite: Public Health P8111
or the equivalent. Principles in the design and analysis of controlled experiments: Latin squares, incomplete block designs, crossover designs, fractional factorial designs, confounding.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• Instructor: Zheng Su
  Info
• 3 points

ADV STAT/COMPUT MTHD-GEN/GENMC

• Department: Biostatistics
• F 1 p.m.-3:50 p.m.
• Instructor: Xiaoyu Song
  Info
• 3 points

ANALYSIS OF CATEGORICAL DATA

This is a Public Health Course.  Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Biostatistics
• MR 5:30 p.m.-6:50 p.m.
• Instructor: Christine M Mauro
  Info
• 3 points

TV WRITING

• Department: Film
• R 2 p.m.-5 p.m.
• F 10 a.m.-1 p.m.
• M 2 p.m.-5 p.m.
• Instructor: David Klass
  Info
• 3 points

MSE GAME-THEORETC BUS STRATEGY

• Department: Industrial Engineering and Operations Research
• F 10:10 a.m.-12:55 p.m.
• Instructor: Harborne Stuart
  h-index: 10 Info
• 3 points

MSE DEMAND & SUPPLY ANALYTICS

• Department: Industrial Engineering and Operations Research
• R 4:10 p.m.-6:55 p.m.
• Instructor: Charles R Guetta
  Info
• 3 points

DIGITAL LITERACY-DECISION MKRS

Digital Literacy for Decision

• Department: Decision, Risk and Operations
• M 12:30 p.m.-3:45 p.m.
• Instructor: Brett Martin
  Info
• 1.5 points

KINESIOLOGY & BIOMECHANICS II

• Department: Rehabilitation Medicine (RMED)
• Instructor: Laurel D Abbruzzese
  Info
• 3 points

S INTL ARBITRATION IN LAT AMER

• Department: Law
• Instructor: Alejandro M Garro
  Info
• 2 points

Healthcare Investment and Entr

• Department: Decision, Risk and Operations
• MF 12:30 p.m.-3:45 p.m.
• 1.5 points

MOVEMENT SCIENCE

• Department: Rehabilitation Medicine (RMED)
• Instructor: Clare C Bassile
  CULPA: 1 Info
• 2 points

Digital Health Startups

• Department: Decision, Risk and Operations
• W 2:15 p.m.-5:30 p.m.
• Instructor: Halle Tecco
  Wikipedia Info
• 1.5 points

Introduction to Programming Us

• Department: Decision, Risk and Operations
• R 5:45 p.m.-9 p.m.
• Instructor: Mattan Griffel
  Info
• 1.5 points

US FOREIGN POLICY-PERSIAN GULF

This course will focus on the process by which U.S. foreign policy is formulated and executed, using the Persian Gulf region as case material. Readings and lectures will examine the relationship between U.S. government agencies (White House, State, Defense, CIA, Congress, etc.) and instrumentalities (declaratory policy, diplomacy, military presence, arms transfers, covert action, etc.) in the pursuit of national goals. Special attention will be devoted to the analysis of U.S. regional policy and international relations from the Iranian revolution through the two gulf wars to the present.

• Department: International and Public Affairs
• T 4:10 p.m.-6 p.m.
• Instructor: Gary G Sick
  Wikipedia Info
• 3 points

S ADV INTER COMM ARBITRATION

• Department: Law
• Instructor: Robert H Smit
  CULPA: 13 Info
• 2 points

Intro to Databases for Busines

• Department: Decision, Risk and Operations
• W 5:45 p.m.-9 p.m.
• Instructor: Mattan Griffel
  Info
• 1.5 points

Data Analytics in Python

• Department: Decision, Risk and Operations
• R 9 a.m.-12:15 p.m.
• Instructor: Hardeep Johar
  Info
• 1.5 points

INTRO TO RAND CLINICAL TRIALS

Prerequisite: Public Health P6104
or the equivalent. Fundamental methods and concepts of the randomized clinical trial; protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, cross-overs, collaborative trials. Each student prepares and submits the protocol for a real or hypothetical clinical trial.

• Department: Biostatistics
• M 1 p.m.-3:50 p.m.
• Instructor: John L Thompson
  h-index: 61 Info
• 3 points

ACTING IV

• Department: Theatre Arts
• F 10:10 a.m.-12:50 p.m.
• Instructor: Michael Cumpsty
  Info
• 2 points

NYC Immersion Seminar: Creatin

• Department: Decision, Risk and Operations
• F 10 a.m.-3 p.m.
• Instructor: Linda V Green
  Info
• 1.5 points

FRENCH THOUGHT, 1700-1848

ENLIGHTENMENT TO ROMANTICISM

• Department: French and Romance Philology
• Instructor: Michael F Stanislawski
  CULPA: 66 Wikipedia Info
• 3 points

INTELLIGENCE & FOREIGN POLICY

The major national security controversies during the last decade have all concerned intelligence. Critics blamed U.S. intelligence agencies for failing to prevent the 9/11 attacks, and then for missing the mark on Iraqi capabilities before the war. In response, Congress ordered a sweeping reorganization of the intelligence community, and scholars began to revisit basic questions: What is the relationship between intelligence and national security? How does it influence foreign policy and strategic decisions? Why does it succeed or fail? This seminar provides an overview of the theory and practice of U.S. intelligence. It details the sources and methods used by collectors, the nature of intelligence analysis, and the relationship between intelligence agencies and policymakers. It also contains a short history of the U.S. intelligence community and evaluates the ongoing efforts to reform it. Finally, it discusses the uneasy role of secret intelligence in a modern democracy.

• Department: International and Public Affairs
• M 4:10 p.m.-6 p.m.
• Instructor: John A Gentry
  Info
• 3 points

S LAW & ECON CIVIL SOCIETY

• Department: Law
• Instructor: W. Bentley Macleod
  h-index: 41 Info
• 2 points

AESTHETICS & PHIL OF HISTORY

• Department: Germanic Languages
• Instructor: Dorothea von Muecke
  Info
• 3 points

PHARMACEUTICAL STATISTICS

• Department: Biostatistics
• T 2:30 p.m.-5:20 p.m.
• Instructor: Naitee Ting
  Info
• 3 points

S ADV SEM EU LAW & INSTS

• Department: Law
• Instructor: Anu Bradford
  Wikipedia h-index: 15 Info
• 3 points

NAVIGATING CHINA: WORLD'S 2ND LARGEST EC

NAVIGATING CHINA: ECONOMY

This course is designed to provide a framework for understanding the opportunities and challenges in the Chinese economy. In the last three decades, China represents the biggest economic and business opportunity in the world economy as it rises from a poor, stagnated, and isolated economy to become one of the fastest growing economies, a leading export juggernaut, a voracious importer, a major destination for foreign direct investment, and an increasingly noteworthy source of foreign investment in other countries. As several other emerging market economies hope to follow China's footsteps, the conceptual framework in the course should help the students to better appreciate risks and rewards in these economies as well.

• Department: International and Public Affairs
• M 2:15 p.m.-5:30 p.m.
• Instructor: Shang-Jin Wei
  Wikipedia h-index: 96 Info
• 3 points

S LAW, JUSTICE, & REFLECT PRAC

• Department: Law
• Instructor: Elizabeth F Emens
  Wikipedia Info
• 2 points

MACROECONOMICS LAB

he Lab will give students the opportunity to apply macroeconomic theory to policy issues, particularly issues that have surfaced in the context of global financial crises. These issues are at the research frontier because the current crisis took the economics profession by surprise, and relevant theory and empirical analysis is evolving at a rapid pace. In addition, the Lab is also aimed at helping students solidify their macro by having them articulate theories and empirical tests that are inspired by current events and puzzles. Current instruction programs in economics tend to leave the student very far from the policy arena and, as a result, there is the risk that future practitioners may end up discarding theory, and that future academics may miss the opportunity of addressing policy relevant issues. In addition, given the increasing SIPA student interest in working on emerging market issues, the Lab will help them decide if they should follow the Ph.D. or the "Wall Street" path. The lab is open to all SIPA, PEPM and Department of Economics students. Requirements are MA level macroeconomics with special emphasis on Open Macro, familiarity with basic mathematical techniques (algebra, calculus), econometric techniques and, above all, strong motivation to address policy issues.

• Department: International and Public Affairs
• TR 2:10 p.m.-4 p.m.
• M 2:10 p.m.-4 p.m.
• 3 points

ACTING TECHNIQUES

• Department: Theatre Arts
• W 2:30 p.m.-5:20 p.m.
• M 2:10 p.m.-5 p.m.
• Instructor: Ursula Wolcz
  Info
• 1 points

LATENT-VAR-STRUC EQUATION MODL

LATENT VAR-STRUC EQUATION MODL

• Department: Biostatistics
• W 8:30 a.m.-11:20 a.m.
• Instructor: Melanie Wall
  Wikipedia h-index: 101 Info
• 3 points

TPCS IN ADVNCD STAT COMPUTING

• Department: Biostatistics
• W 1 p.m.-3:50 p.m.
• Instructor: Ying Wei
  Wikipedia Info
• 3 points

ECONOMICS, LAW, & PUBLIC POLICY

As Adam Smith noted long ago, economic development cannot occur in the absence of a stable legal system. The purpose of this course is two-fold. First, the course reviews some of the modern developments in economics that are relevant for the study of institutions. Second, it uses these tools to explore the structure of the law, and its impact upon economic performance. The goal is to provide a foundation for the understanding of legal institutions that goes beyond national boundaries, and can help better understand the challenges that rapid economic growth and globalization pose for policy makers.

• Department: International and Public Affairs
• R 9 a.m.-10:50 a.m.
• Instructor: W. Bentley Macleod
  h-index: 41 Info
• 3 points

STAT METHODS-GEN EPI JOUR CLUB

Meets once a month to discuss the current literature in statistical methods for genetic epidemiology, providing opportunity and incentive for students, theoreticians, and practitioners to keep current with the rapidly-growing literature of this field.

• Department: Biostatistics
• M 10 a.m.-10:50 a.m.
• Instructor: Yuanjia Wang
  CULPA: 4 Info
• 1 points

HISTORY OF POLITICAL ECONOMY

History of Political Economy

A study of the emergence of political economy in eighteenth-century Britain and France, with a focus on the problematic relationship between economics and politics, and the gradual establishment of economics as a separate field of knowledge. Authors include Hobbes, Locke, Mandeville, Montesquieu, Hume, Rousseau, Smith, Say, and Ricardo.  
Field(s): EME

• Department: History
• T 12:10 p.m.-2 p.m.
• Instructor: Pierre Force
  CULPA: 12 h-index: 11 Info
• 4 points

S MEDIA LW FR PRINT TO DIGITAL

• Department: Law
• Instructor: Edward Klaris
  Info
• 2 points

VOICE AND SHAKESPEARE II

• Department: Theatre Arts
• W 9:30 a.m.-12:20 p.m.
• Instructor: Andrea Haring
  Info
• 3 points

S THE ANATOMY OF AUTONOMY

• Department: Law
• Instructor: Patricia Williams
  Wikipedia Info
• 2 points

BIOSTAT IN LEGAL PROCEEDINGS

• Department: Biostatistics
• M 5:30 p.m.-8:20 p.m.
• Instructor: Bruce Levin
  h-index: 65 Info
• 3 points

S CORPORATE GOVERNANCE

• Department: Law
• Instructor: Zohar Goshen
  h-index: 12 Info
• 3 points

RES DATA COORDINATN:PRINC/PRAC

Prerequisites:  Public Health P6104. 
Introduction to the principles of research data management and other aspects of data coordination using structured, computer-based exercises.  Targeted to students with varying backgrounds and interests:  (1) established and prospective investigators, scientists, and project leaders who want to gain a better understanding of the principles of data management to improve the organization of their own research, make informed decisions in assembling a data management team, and improve their ability to communicate with programmers and data analysts; and (2) students considering a career in data management, data analysis, or the administration of a data coordinating center.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• W 5:30 p.m.-8:20 p.m.
• Instructor: Debra D'Angelo
  Info
• 3 points

PRIVATE INVESTMENT FUNDS

Prerequisites: L6231
This is a Law School course.  For more detailed course information, please go to the
Law School Curriculum Guide
at:
http://www.law.columbia.edu/courses/search

• Department: Law
• Instructor: Michael Nissan
  Info
• 2 points