CRITICAL ISSUES IN STAGE MANAGEMENT

CRIT ISSUES: CONFLICT RES

Conflict Resilience. Developing the comfort and skills necessary to respond to disagreements and mis-alignments is essential for leaders and stage managers. Through a series of discussions, experienced guests, reading, role-playing, and in-class exercises, this workshop style class will present an overview of Alternative Dispute Resolution (ADR) and Restorative Process theory and techniques with a practical focus on building our skills and comfort level to be able to reframe conflict as a chance for learning, understanding, and change.

Exceeding EDI. The impact of incorporating Equity, Diversity, Inclusion, Accessibility and Belonging into the commercial theater industry in a post George Floyd era. As stage managers, it is crucial that there is a framework for supporting the evolving identities and needs of the many populations present in a theater setting. Through a series of articles, in-class discussions, written reflections and conversations with working professionals, we will develop an understanding of a variety of social issues that currently exist in the industry while building a toolkit on how to navigate them.

• Department: Theatre Arts
• M 10 a.m.-12:50 p.m.
• Instructor: Fredric Hanson
  Info
• 1.5 points

Valuation and Financial Statement Analys

The course material consists of detailed presentations, a comprehensive monograph—Earnings Quality, Fundamental Analysis and Valuation (available at https://ssrn.com/abstract=3794378), and many academic studies.

• Department: Accounting (ACCT)
• MF 2:20 p.m.-5:35 p.m.
• Instructor: Doron Nissim
  h-index: 24 Info
• 3 points

Navigating DEAIB: Strategies for Stage M

Diversity, Equity, Inclusion, Accessibility and Belonging (DEIAB) is more than a series of practices; it incorporates values and principles that run counter to the traditional, exclusionary power dynamics that have impacted the commercial theatre industry for decades. With a focus on creating or re-establishing positive relationships amongst all community members, Critical Issues in Stage Management considers real-world proficiencies in diversity, equity, inclusion and consent-forward practices that have direct application to our work as Stage Managers.

During this course we will examine the impact of incorporating Equity, Diversity, Inclusion, Accessibility and Belonging into the commercial theater industry in a post George Floyd era. As stage managers, it is crucial that there is a framework for supporting the evolving identities and needs of the many populations present in a theater setting. Through a series of articles, group projects, in-class discussions, written reflections and conversations with working professionals, we will develop an understanding of a variety of social issues that currently exist in the industry while building a toolkit on how to navigate them.

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

S FIN TECH INNOVATION & TRANS OF FIN SER

• Department: Law
• 2 points

DIR RSCH 20TH-C RUSSIAN LIT I

Prerequisites: the department's permission.

• Department: Slavic Languages
• Instructor: Mark Lipovetsky
  Wikipedia Info
• 2-4 points

VISITING ARTISTS

• Department: Theatre Arts
• T 10 a.m.-noon
• Instructor: Anne Bogart
  Wikipedia Info
• 0-3 points

DIR RSCH 18TH-C RUSSIAN LIT I

• Department: Slavic Languages
• Instructor: Jessica E Merrill
  CULPA: 2 Info
• 1-3 points

Scales of History

Every student of history must eventually reckon with questions of scale: What temporal and geographical boundaries are epistemologically defensible in a study? How long or short is the historical arc? How wide or narrow is the geographical scope? Does one approach one’s object of study from above or from below? What are the epistemic implications of working with anecdotes or cases, with planetary time or world-systems, with series, multiples, and sequences? This seminar is structured thematically around the problems of scaling historiography. It brings key texts from the historical disciplines (with special attention to art history and architectural history) to bear on such problematics as: the case study, the period, microhistory, world-systems, the 
longue durée
, the anecdote, global and world history, seriality, and comparison. It is meant to be both a theoretical and a practical resource for those tackling the challenges of writing history. Weekly discussions will be driven by close readings of assigned texts.

• Department: Art History and Archaeology
• T 4:10 p.m.-6 p.m.
• Instructor: Zeynep Celik Alexander
  Info
• 4 points

QUANTUM FIELD THEORY II

Prerequisites: PHYS G6037-G6038. Relativistic quantum mechanics and quantum field theory.

• Department: Physics
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Frederik Denef
  CULPA: 1 h-index: 36 Info
• 4.5 points

QUANTUM FIELD THEORY III

Advanced topics at the discretion of the instructor, including string theory, supersymmetry and other aspects of beyond-standard-model physics.

• Department: Physics
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Alberto Nicolis
  Info
• 3 points

THEATRE PRACTICUM II

IMPULSE/STIMULUS/SPECIFICITY

TBD

• Department: Theatre Arts
• M 2:10 p.m.-5 p.m.
• Instructor: Tina Benko
  Info
• 3 points

THEATRE PRACTICUM II

DEVELOPING NEW WORK

TBD

• Department: Theatre Arts
• M 2:10 p.m.-5 p.m.
• Instructor: Saheem Ali
  Info
• 3 points

S ADVANCED PATENTS

• Department: Law
• 2 points

THEATRE PRACTICUM III

SELF TO PERFORMANCE

• Department: Theatre Arts
• TR 2:10 p.m.-5 p.m.
• 0-3 points

THEATRE PRACTICUM III

EARLY CAREER PREP

• Department: Theatre Arts
• T 10 a.m.-12:50 p.m.
• Instructor: Scott V Whitehurst
  Info
• 0-3 points

S. Rethinking Globalization

• Department: Law
• 3 points

PRODUCTION & TECHNICAL MANAGEMENT

PRODUCTION & TECH. MANAGE

• Department: Theatre Arts
• F 9:30 a.m.-11:50 a.m.
• Instructor: Ryan Murphy
  Info
• 3 points

S EXTRATERRITORIAL CON LAW

• Department: Law
• 2 points

C JURISPRUDENCE OF WAR

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

ADVANCED SCIENTIFIC COMPUTING

• Department: Physics
• TR 4:10 p.m.-5:25 p.m.
• Instructor: Robert D Mawhinney
  CULPA: 6 h-index: 49 Info
• 3 points

S AMERICAN JURISPRUDENCE

• Department: Law
• 2 points

CONDENSED MATTER PHYSICS II

• Department: Physics
• TR 4:10 p.m.-5:25 p.m.
• Instructor: Yasutomo Uemura
  Info
• 3 points

Internship Class - Fall Session

This seminar is designed to provide an in-depth experiential learning experience concurrent with students’ public health or healthcare management internship. The seminar provides a supportive framework designed to enhance students’ professional and leadership experience by exploring common themes encountered in the fieldwork setting. The seminar will address the public health core competencies of leadership, communications, cultural competence, and professionalism.

The semester will begin with discussion of students’ project sites including project overview, goals for the field work experience and anticipated challenges. Focusing on professionalism in the workplace, students will assess how the internship aligns with their overarching learning goals. Students will also gain insights into successful leadership styles and skills through the design and implementation of an in-depth interview of a professional in their chosen field, a panel discussion of alumni in the field, and by developing and practicing oral and written communication and negotiation skills.

Throughout the course, students will develop a presentation that both demonstrates and reflects upon knowledge acquired through the internship experience. The semester culminates with students presenting the highlights of their project work.

This course is only open to students who either: (a) are required to complete a practicum as part of their degree, and have already completed their required practicum experience, and who have an internship (in a different setting or with different learning goals than their practicum) during the fall semester of their final year of school; OR (b) are enrolled in a Master’s program which does not require a practicum, and would like to take part in an optional internship during the fall semester of their final year of school."

Course pre-requisites: Completion of APeX (if required) and have an internship (in a different setting or with different learning goals than their practicum or APeX) during the semester.

Required permissions: This course is only open to students who have already completed their required practicum/APeX experience (if required), and who have an internship (in a different setting or with different learning goals than their practicum) during the fall semester. Students must submit a letter from their employer to join the waitlist for this course.

• Department: Public Health
• F 11:30 a.m.-12:50 p.m.
• Instructor: Heather Krasna
  h-index: 5 Info
• 0.5 points

M.A. ESSAY DIRECTION

• Department: French
• 6 points

INDIV PROJECTS IN MUSICOLOGY

INDIV PROJECT IN MUSICOLOGY

Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.

• Department: Music
• Instructor: Susan Boynton
  CULPA: 18 Info
• Instructor: Alessandra M Ciucci
  CULPA: 1 Info
• Instructor: Joseph P Dubiel
  CULPA: 3 Info
• Instructor: Kevin Fellezs
  CULPA: 4 Info
• Instructor: Aaron A Fox
  CULPA: 7 Info
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• Instructor: Christopher J Washburne
  CULPA: 31 Info
• 3 points

INDIV PROJECTS IN MUSICOLOGY

Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.

• Department: Music
• Instructor: Ruth Opara
  Info
• 3 points

Applied Regression I

APPLIED REGRESSION I

This course will provide an introduction to the basics of regression analysis. The class will proceed systematically from the examination of the distributional qualities of the measures of interest, to assessing the appropriateness of the assumption of linearity, to issues related to variable inclusion, model fit, interpretation, and regression diagnostics. We will primarily use scalar notation (i.e. we will use limited matrix notation, and will only briefly present the use of matrix algebra).

• Department: Biostatistics
• R 1 p.m.-3:50 p.m.
• Instructor: Yiyuan Wu
  Info
• 3 points

Healthcare Management, Design, and Strat

Healthcare Mgmt Design &

COURSE DESCRIPTION AND LEARNING OBJECTIVES
The U.S. healthcare system is an enormously complex, trillion-dollar industry, accounting for approximately 18% of GDP. The healthcare sector is vast and covers multiple different players from patients, providers, payors, to bio/pharma developers and innovators. Each part of the healthcare sector brings a different set of business challenges that touch on aspects from Finance, Marketing, Operations, Accounting, and more. The healthcare industry is going through a transformation with the development of new technologies, increased sophistication and adoption of electronic medical records systems and data collection architectures, and new models of the delivery of care and payment systems. This tremendous dynamism is unmatched by any other industry and offers incredible opportunities for new business endeavors. This course provides students the opportunity to learn about i) approaches to doing consulting; ii) key considerations diving strategic decision-making in the healthcare industry; and iii) the chance to put these concepts to practice by working on a set of company-sponsored applied projects. Student teams of 5-6 people, with 3-4 MBA (CBS) students and 1-2 medical (CUIMC) students, will work hand in hand with the instructors and company representatives to achieve company goals through the practical application of fundamental core business practices. Through these projects, students will be exposed to the unique challenges and opportunities in the healthcare sector. Some examples of potential projects include:

For a pharmaceutical company, evaluate the commercial potential of a new therapeutic class.
Evaluate and identify improvement opportunities in the patient evaluation process of a clinical unit at CUIMC. Redesign the standard workflow ad evaluate the financial and operational impact of these changes.
Utilize consumer predictive analytics to guide marketing strategies for a biotech device.
The scope of sponsoring companies spans large firms in biotech and pharmaceuticals, smaller startups in healthcare analytics and/or biotech, large provider systems, as well as smaller clinics. Companies provide the project scope and relevant data, faculty provides guidance on best practices, and your team will provide the answers.

Throughout this course, students will execute on a healthcare project to:
Use tools and ideas from operations, business analytics, finance, marketing, and strategy to solve interesting and exciting business proble

• Department: Decision, Risk and Operations
• T 6 p.m.-9:15 p.m.
• 3 points

ADVANCED TOPICS IN IEOR

Diffusion Models AI & RL

• Department: Industrial Engineering and Operations Research
• T 2:40 p.m.-5:10 p.m.
• Instructor: Xunyu Zhou
  h-index: 54 Info
• 3 points

ADVANCED TOPICS IN IEOR

Algo in a World of ML

• Department: Industrial Engineering and Operations Research
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• 3 points

ADVANCED TOPICS IN IEOR

MATCHING MARKETS & ALGORITHMS

• Department: Industrial Engineering and Operations Research
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Yuri Faenza
  h-index: 11 Info
• 3 points

ADVANCED TOPICS IN IEOR

Comput. Social Choice

• Department: Industrial Engineering and Operations Research
• T 10:10 a.m.-11:25 a.m.
• Instructor: Jay Sethuraman
  CULPA: 10 Info
• 3 points

ADVANCED APPLICATION OF THEORY TO PRACT

• Department: Rehabilitation Medicine (RMED)
• Instructor: Scott G Rushanan
  Info
• 3 points

Gross Anatomy

This intensive 15-week course during the first semester of the DPT curriculum provides students with detailed coverage of human anatomy through lecture and cadaver dissection. The focus of the course is on structure and the integral relationship between structure and function. A comprehensive understanding of normal structure and function provides the foundation for understanding abnormal structure and function. Both the lecture and laboratory components of the course are critical to success in the program and as a competent entry-level clinician.

This course uses a regional approach to study the gross anatomical structures of the human body, with emphasis on the musculoskeletal system and its associated vascular and neural elements. The structure of synovial joints and their soft tissue support systems will be addressed. The thoracic, abdominal, and pelvic cavities will be explored. Aspects of structure and function as they relate to clinical correlates will be highlighted throughout the course.

• Department: Physical Therapy
• 7 points

Master s Thesis in International Affai

Intl Affairs Thesis Prep

Available only to Master of International Affairs students.
The Thesis program is a rigorous, two-semester sequence that enables a select group of students to produce a substantive, publishable piece of original research or policy analysis. Designed for those seeking to strengthen their analytical, methodological, and writing skills, the program culminates in a thesis of at least 35 pages that may take the form of an academic journal article, a policy essay for a broader audience, or a research report suitable for a think tank. A small cohort is admitted each year, combining structured seminars with individualized faculty mentorship to guide students from proposal development through the completion and defense of their final thesis.

During the fall preparatory workshop, students refine their research questions, explore methodologies, and draft a formal thesis proposal under the supervision of the Thesis Advisor and a designated Faculty-Resource Person. Emphasis is placed on framing analytical questions, conducting research using primary and secondary sources, and understanding the role of digital tools, including responsible AI use.

• Department: International and Public Affairs
• W 1:10 p.m.-3 p.m.
• Instructor: Timothy Naftali
  Info
• 1.5 points

VISUAL ART LAB

• Department: Visual Arts
• F 1 p.m.-4 p.m.
• Instructor: Rirkrit Tiravanija
  Wikipedia Info
• 3 points

Business Analytics I (Full Term)

This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.

• Department: Decision, Risk and Operations
• R 9 a.m.-noon
• Instructor: Charles R Guetta
  Info
• 3 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2-3 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2-3 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2-3 points

Modern Middle East: Themes in Current Re

This course is open to Ph.D. students and advanced M.A. students conducting research on
aspects of the modern, culture, politics, and history of the Middle East and adjacent regions. Its
temporal focus is the three centuries from roughly the mid-eighteenth to the mid-twentieth
century, but those whose research deals with other periods are welcome to participate.
The course has three aims. The first is to provide an opportunity to read and engage with some
of the more recent scholarship in the field, especially work published in the last ten years,
organized around several current academic debates. The second is to provide a seminar in
which those preparing a master’s paper, M.Phil. examination list, or Ph.D. prospectus, or a term
paper intended for conference presentation or publication, can develop and present a draft of
their work. We will choose readings to accompany each paper, focusing on recent scholarship
that informs or extends the issues addressed in the research. The course will enable students to
clarify and test the questions that shape their work and better situate them within current
scholarship. The third aim is to train students in the art of framing questions and shaping
debate for an advanced, reading-intensive graduate-level seminar.
The course is intended primarily for MESAAS students. Those from other departments are
welcome but require the permission of the instructor to enroll.

• Department: Middle Eastern, South Asian and African Studies
• T 4:10 p.m.-6 p.m.
• Instructor: Timothy Mitchell
  Wikipedia h-index: 34 Info
• 4 points

Advanced Pharmacology

ADVANCED PHARMACOLOGY

The goals of this course are to provide students with a basic knowledge and understanding of the actions of drugs in order to enable them to use therapeutic agents in a rational and responsible manner in patients.  Initially, basic principles of pharmacology will be reviewed, including absorption, distribution, metabolism, and excretion of drugs by the body.  Drug-receptor interactions will also be presented and illustrated with appropriate examples.  The focus of these lectures will be case-based whenever possible to demonstrate the therapeutic application of these pharmacologic principles and how this translates into efficacy and potential toxicity.

• Department: Nursing
• 3 points

Patient Oriented Research Career Develop

POR CAREER DEVELOPMENT CO

The main objective of this course is to provide Columbia University's Clinical & Translational Science award trainees, students, and scholars with skills and knowledge that will optimize their chances of entering into a satisfying academic career. The course will emphasize several methodological and practical issues related to the development of a science career. The course will also offer support and incentives by facilitating timely use of CTSA resources, obtaining expert reviews on writing and curriculum vitae, and providing knowledge and resources for the successful achievement of career goals.

• Department: Biostatistics
• T 3 p.m.-3:50 p.m.
• Instructor: Marisa N Spann
  Info
• 0.5 points

Business Analytics II: Foundations of AI

Business Analytics II: AI

This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.

• Department: Decision, Risk and Operations
• W 2:20 p.m.-5:35 p.m.
• W 6 p.m.-9:15 p.m.
• Instructor: Charles R Guetta
  Info
• 1.5 points

NEUROSCIENCE AND COGNITION

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

Probability

PROBABILITY

The course aims to present the fundamental principles behind probability theory and lay the foundations for various kinds of statistical/biostatistical courses such as statistical inference, multivariate analysis, regression analysis, clinical trials, asymptotics, and so on. Students will learn how to implement probability methods in various types of applications.

• Department: Biostatistics
• MW 10 a.m.-11:20 a.m.
• Instructor: Zhezhen Jin
  h-index: 51 Info
• 3 points

Data Science I

Contemporary biostatistics and data analysis depends on the mastery of tools for computation, visualization, dissemination, and reproducibility in addition to proficiency in traditional statistical techniques. The goal of this course is to provide training in the elements of a complete pipeline for data analysis. It is targeted to MS, MPH, and PhD students with some data analysis experience.

• Department: Biostatistics
• TR 10 a.m.-11:20 a.m.
• Instructor: Arthur Jeff Goldsmith
  Info
• 3 points

SEM-HISTROCL MUSICLGY-BAROQUE

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

Operations Strategy

• Department: Decision, Risk and Operations
• W 9 a.m.-12:15 p.m.
• W 2:20 p.m.-5:35 p.m.
• Instructor: Medini Singh
  Info
• 3 points

Case Based Application

• Department: Rehabilitation Medicine (RMED)
• Instructor: Daniel L Geller
  Info
• 1 points

Introduction to Mathematical Statistics

Intro Mathematical Statis

The first portion of this course provides an introductory-level mathematical treatment of the fundamental principles of probability theory, providing the foundations for statistical inference.  Students will learn how to apply these principles to solve a range of applications.  The second portion of this course provides a mathematical treatment of (a) point estimation, including evaluation of estimators and methods of estimation; (b) interval estimation; and (c) hypothesis testing, including power calculations and likelihood ratio testing.

• Department: Biostatistics
• MW 10 a.m.-11:20 a.m.
• Instructor: Todd Ogden
  Info
• 3 points

Service Operations Management

• Department: Decision, Risk and Operations
• T 9 a.m.-12:15 p.m.
• T 2:20 p.m.-5:35 p.m.
• R 9 a.m.-12:15 p.m.
• Instructor: Medini Singh
  Info
• 3 points

Capstone One Portfolio

• Department: Rehabilitation Medicine (RMED)
• Instructor: Amanda M Lange
  Info
• 3 points

Survival Analysis

SURVIVAL ANALYSIS

This course focuses on methods for the analysis of survival data, or time-to-event data. Survival analysis is a method for analyzing survival data or failure (death) time data, that is time-to-event data, which arises in a number of applied fields, such as medicine, biology, public health, epidemiology, engineering, economics, and demography. A special course of difficulty in the analysis of survival data is the possibility that some individual may not be observed for the full time to failure. Instead of knowing the failure time t, all we know about these individuals is that their time-to-failure exceeds some value y where y is the follow-up time of these individuals in the study. Students in this class will learn how to make inference for the event times with censored. Topics to be covered include survivor functions and hazard rates, parametric inference, life-table analysis, the Kaplan-Meier estimator, k-sample nonparametric test for the equality of survivor distributions, the proportional hazards regression model, analysis of competing risks and bivariate failure-time data.

• Department: Biostatistics
• F 1 p.m.-3:50 p.m.
• Instructor: Xiao Wu
  Info
• 3 points

GROUP THEORY

• Department: Chemistry
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 points

Supply Chain Management

• Department: Decision, Risk and Operations
• M 9 a.m.-12:15 p.m.
• M 2:20 p.m.-5:35 p.m.
• Instructor: Nicole Dehoratius
  Info
• 1.5 points

Applied Regression II

APPLIED REGRESSION II

This course will introduce the statistical methods for analyzing censored data, non-normally distributed response data, and repeated measurements data that are commonly encountered in medical and public health research. Topics include estimation and comparison of survival curves, regression models for survival data, logit models, log-linear models, and generalized estimating equations. Examples are drawn from the health sciences.

• Department: Biostatistics
• R 1 p.m.-3:50 p.m.
• Instructor: Xin Ma
  Info
• 3 points

TV PILOT: COMEDY & DRAMA

With the pilot as a focal point, this course explores the opportunities and challenges of telling and sustaining a serialized story over a protracted period of time with an emphasis on the creation, borne out of character, of the quintessential premise and the ongoing conflict, be it thematic or literal, behind a successful series.

Early in the semester, students may be required to present/pitch their series idea. During the subsequent weeks, students will learn the process of pitching, outlining, and writing a television pilot, that may include story breaking, beat-sheets or story outline, full outlines, and the execution of either a thirty-minute or hour-long teleplay. This seminar may include reading pages and giving notes based on the instructor but may also solely focus on the individual process of the writer.  


Students may only enroll in one TV Writing workshop per semester.

• Department: Film
• F 10 a.m.-1 p.m.
• M 10 a.m.-1 p.m.
• W 9:30 a.m.-12:30 p.m.
• Instructor: David Klass
  Info
• Instructor: Blair Singer
  Info
• Instructor: Carter Bays
  Info
• Instructor: Matthew R Fennell
  Info
• Instructor: Blair Singer
  Info
• 3 points

SCENE STUDY

SCENE STUDY: THE GREEKS

• Department: Theatre Arts
• R 9 a.m.-1 p.m.
• Instructor: Brian Kulick
  Info
• 3 points

Commercial Society

Before capitalism, there was commercial society. This course examines European debates about commerce, luxury, and social organization from the late seventeenth through the late eighteenth centuries. We will survey a range of theoretical perspectives on the new forms of commercial sociability and political life emerging in Europe, whether triumphant, despairing, or ambivalent.

• Department: Political Science
• T 2:10 p.m.-4 p.m.
• Instructor: Daniel Luban
  Info
• 4 points

Pharmacology for Anesthesia and Critical

PHARM FOR ANES & CRITICAL

This course provides an overview of anesthetics, adjuvants and critical care medications commonly used in anesthesia practice with an emphasis on the application of theoretical foundations as it applies to the patient. Cultural humility will be incorporated when developing medication management individualized to patient identities and cultures while including an emphasis on social and cultural health disparities. The course will also provide a systems approach to pathophysiology and the pharmacotherapeutic agents used to treat specific disease states with an emphasis on their impact in anesthesia practice.

• Department: Nursing
• 4 points

WRITING FOR PUBLICATION

• Department: Rehabilitation Medicine (RMED)
• Instructor: Rochelle Mendonca
  Info
• 1 points

Applied Regression Analysis

• Department: Decision, Risk and Operations
• MW 10:50 a.m.-12:20 p.m.
• Instructor: Paul Glasserman
  Info
• 1.5 points

Leading Sustainable Operations

• Department: Decision, Risk and Operations
• M 6 p.m.-9:15 p.m.
• Instructor: Nicole Dehoratius
  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
• 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
• 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
• 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
• 3 points

Applied Physiology

This 16 week course during the first semester of the DPT curriculum provides students with a theoretical basis for understanding the body's physiological responses to exercise.  Emphasis will be placed upon the practical application of exercise physiology principles in physical therapy practice.    This course is designed to provide an integrative view of human exercise physiology. This class will cover the acute and chronic adaptations to exercise including the cardiovascular, respiratory, neuromuscular and metabolic systems in relation to acute and chronic exercise.

• Department: Physical Therapy
• 2 points

Business Analytics III: Modern AI, Deep

Business Analytics III: A

• Department: Decision, Risk and Operations
• W 2:20 p.m.-5:35 p.m.
• W 6 p.m.-9:15 p.m.
• Instructor: Charles R Guetta
  Info
• 1.5 points

Transforming the Delivery of H

• Department: Decision, Risk and Operations
• TR 10:50 a.m.-12:20 p.m.
• Instructor: Brian Regan
  Info
• 1.5 points

Analysis of Categorical Data

ANALYSIS OF CATEGORICAL D

A comprehensive overview of methods of analysis for binary and other discrete response data, with applications to epidemiological and clinical studies. It is a second level course that presumes some knowledge of applied statistics and epidemiology. Topics discussed include 2 × 2 tables, m × 2 tables, tests of independence, measures of association, power and sample size determination, stratification and matching in design and analysis, interrater agreement, logistic regression analysis.

• Department: Biostatistics
• TR 4 p.m.-5:20 p.m.
• Instructor: Abby Zhao
  Info
• 3 points

ANALYSIS OF CATEGORICAL DATA

• Department: ONLINE MS IN EPIDEMIOLOGY
• Instructor: Tonguc Yaman
  Info
• 3 points

Humans, Animals and Machines

Political theory in the 21st century must address the role of non-humans and examine the traditional priority of human beings.  What rights, if any, should animals and AI have and on what basis?  Can we even say what it means to be distinctively human?  Can that distinctiveness support consequential moral or political conclusions?  Is there a clear basis for human or non-human equality which can ground rights or democratic institutions?  Or must we find a post-humanist politics of some kind?

• Department: Political Science
• T 4:10 p.m.-6 p.m.
• Instructor: Joshua F Dienstag
  Info
• 4 points

DIALECTS & ACCENTS

This course continues the actor’s work of experiencing voice and text in a free body as a means to develop versatile and transformative speech.  Students will deepen and refine their knowledge of the phonemes of the International Phonetic Alphabet (IPA), as well as the ability to categorize and utilize Lexical Sets in pursuit of a dialect/accent.  Students will demonstrate their ability to notate texts and transcribe dialects and accents into both IPA and practically apply the framework of the Four Pillars and the Voice Recipe.

The student will use these tools, supplemented by handouts, video & audio resources and independent research, to study several accents/dialects in class as well as at least one additional independently researched accent/dialect. The goal of the class is to expand upon the actor’s choices of speech and vocal expression and to acquaint her/him with the resources necessary to truthfully portray an individual utilizing a dialect/accent on stage or screen.

Students will develop their own unique process for learning accents and dialects
, as well as efficiently and effectively applying their progression to texts via a combination of practice sentences, scene work, conversation, improvisation, cold readings, and a prepared monologue.  Students will complete the course having created a personal, in-depth method for researching and performing a role in which an accent or dialect is required.

Students will do self-directed and supported research as part of their study.  They will consciously and intelligently assimilate this contextual research into their embodiment choices.  The final project is a presentation of their research and the sharing of a monologue that is ideally
written in the student’s selected dialect or accent
.

• Department: Theatre Arts
• F 9 a.m.-12:50 p.m.
• Instructor: Elizabeth Hayes
  Info
• 2 points

ADV PARENT-INFANT PSYCHOTHERAPY

ADV PARENT-INFANT THERAPY

• Department: Psychoanalytic Center
• Instructor: Talia Hatzor
  Info
• 0 points

Statistical Methods for Causal Inference

Stat Mthds for Causal Inf

Substantive questions in empirical scientific and policy research are often causal. This class will introduce students to both statistical theory and practice of causal inference. As theoretical frameworks, we will discuss potential outcomes, causal graphs, randomization and model-based inference, causal mediation, and sufficient component causes. We will cover various methodological tools including randomized experiments, matching, inverse probability weighting, instrumental variable approaches, dynamic causal models, sensitivity analysis, statistical methods for mediation and interaction. We will analyze the strengths and weaknesses of these methods. The course will draw upon examples from social sciences, public health, and other disciplines. The instructor will illustrate application of the approaches using R/SAS/STATA software. Students will be evaluated and will deepen the understanding of the statistical principles underlying the approaches as well as their application in homework assignments, a take home midterm, and final take home practicum.

• Department: Biostatistics
• TR 10 a.m.-11:20 a.m.
• Instructor: Linda Valeri
  h-index: 24 Info
• 3 points

S. Advising Complex Corporations

S ADVISING COMPLEX CORP

• Department: Law
• 2 points

Intro to Biology Course (T3ST)

Test Course for Vergil Launch Demonstration

• Department: OFFC OF THE REGISTRAR
• MT 9 a.m.-noon
• Instructor: Faculty
  h-index: 37 Info
• 2 points

Graphical Models for Complex Health Data

GRAPHICAL MODELS COMPLEX

This is a course at the intersection of statistics and machine learning, focusing on graphical models. In complex systems with many (perhaps hundreds or thousands) of variables, the formalism of graphical models can make representation more compact, inference more tractable, and intelligent data-driven decision-making more feasible. We will focus on representational schemes based on directed and undirected graphical models and discuss statistical inference, prediction, and structure learning. We will emphasize applications of graph-based methods in areas relevant to health: genetics, neuroscience, epidemiology, image analysis, clinical support systems, and more. We will draw connections in lecture between theory and these application areas. The final project will be entirely “hands on,” where students will apply techniques discussed in class to real data and write up the results.

• Department: Biostatistics
• TR 4 p.m.-5:20 p.m.
• Instructor: Daniel S Malinsky
  Info
• 3 points