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

COMMUNICATIONS PROSEMINAR

A synoptic overview of theory and research.

• Department: Journalism
• M 6:10 p.m.-8 p.m.
• Instructor: Richard John
  CULPA: 5 Info
• 3 points

VISITING ARTISTS

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

AI, Imaging, Art

This graduate seminar will interrogate intersections in artificial intelligence, machine vision, neural networks, visual culture, imaging, and art. Students will gain a foundation in the histories and technologies underlying the recent rise of neural networks and machine vision, as well as the more recent rise of generative AI, especially image generation. With this foundation, we will investigate a range of artistic, technological, mass-media, and legal developments in visual culture and AI. In addition to readings and seminar meetings, we will take advantage of the ample public and private AI-related programming at Columbia and in New York: lectures, exhibitions, screenings, studio visits with artists, etc. Students will also have the opportunity to work with custom generative AI models.

Admission by application only. Priority will be given to PhD students with backgrounds in art history, visual culture, and/or computer and data science. All students are expected to complete the readings and tutorials for the first class prior to the start of the semester.

• Department: Art History and Archaeology
• R 10:10 a.m.-noon
• Instructor: Noam M Elcott
  CULPA: 6 h-index: 7 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

THEATRE PRACTICUM II

IMPULSE/STIMULUS/SPECIFICITY

TBD

• Department: Theatre Arts
• Instructor: Tina Benko
  Info
• 3 points

THEATRE PRACTICUM III

EARLY CAREER PREP

• Department: Theatre Arts
• Instructor: Scott V Whitehurst
  Info
• 0-3 points

PRODUCTION & TECHNICAL MANAGEMENT

PRODUCTION & TECH. MANAGE

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

CONDENSED MATTER PHYSICS II

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

PUBLIC HEALTH PRACTICE SEMINAR

• Department: Public Health
• F 11:30 a.m.-12:50 p.m.
• Instructor: Heather Krasna
  h-index: 5 Info
• 0.5 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: Julia Doe
  Info
• Instructor: Kevin Fellezs
  CULPA: 4 Info
• Instructor: Aaron A Fox
  CULPA: 7 Info
• Instructor: Walter M Frisch
  CULPA: 17 Info
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• Instructor: Knar Abrahamyan
  Info
• Instructor: Mariusz Kozak
  CULPA: 4 h-index: 5 Info
• Instructor: George Lewis
  CULPA: 10 Wikipedia h-index: 18 Info
• Instructor: Elaine Sisman
  CULPA: 13 Wikipedia Info
• Instructor: Benjamin A Steege
  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.
• 3 points

Applied Regression

This course will provide students with a thorough introduction to applied regression analysis, which has been a commonly used and almost standard method for analyzing continuous response data in Public Health research. Topics covered include simple linear regression, multiple linear regression, analysis of variance, parameter estimation, hypothesis testing, interpretation of estimates, interaction terms, variable recoding, examination of validity of underlying assumptions, regression diagnostics, model selection, logistic regression analysis, generalized linear models as well as discussions on relationships of variables in research and using regression results for either prediction or estimation purposes. Real data are emphasized and analyzed using SAS.

• Department: General Public Health
• W 7 p.m.-8 p.m.
• Instructor: Dan Liao
  Info
• 3 points

ADVANCED TOPICS IN IEOR

Diffusion Models AI & RL

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

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

ADVANCED TOPICS IN IEOR

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• MW 1:10 p.m.-2:25 p.m.
• TR 11:40 a.m.-12:55 p.m.
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Agostino Capponi
  h-index: 19 Info
• Instructor: Eric Balkanski
  h-index: 13 Info
• Instructor: Christian Kroer
  h-index: 16 Info
• 3 points

ADVANCED TOPICS IN IEOR

Foundations of Data Privacy

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• T 2:40 p.m.-5:10 p.m.
• Instructor: Rachel Cummings
  h-index: 16 Info
• 3 points

ADVANCED TOPICS IN IEOR

Selected topics in IEOR. Content varies from year to year. May be repeated for credit.

• Department: Industrial Engineering and Operations Research
• W 2:40 p.m.-5:10 p.m.
• Instructor: David D Yao
  CULPA: 5 Info
• 3 points

VISUAL ART LAB

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

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: Tian Gu
  Info
• 3 points

SEM-HIST MUSICOLOGY:MUSIC,MIND

SEM-HIST MUSICOLOGY:RENAISSANC

• Department: Music
• M 4:10 p.m.-6 p.m.
• Instructor: Giuseppe Gerbino
  CULPA: 12 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

Theory of Democracy Revisited

This colloquium will study democracy in its most representative contemporary interpretations and its challenges in comparative theoretical perspective. Starting with democracy’s procedures and institutions (the “rules of the game”) the colloquium will examine their main interpretations and most recent variations; it will end with a discussion of plebiscitary leadership, populism and lottocracy. The aim of the colloquium is to give students of political theory and political science some basic theoretical tools for analyzing, understanding and evaluating contemporary mutations in democratic visions and practices in several western countries.

• Department: Political Science
• T 6:10 p.m.-8 p.m.
• Instructor: Nadia Urbinati
  CULPA: 29 Wikipedia Info
• 4 points

KINETICS

• Department: Chemistry
• TR 1:10 p.m.-2:25 p.m.
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 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

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

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.
• 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
• M 10 a.m.-1 p.m.
• R 2 p.m.-5 p.m.
• M 2 p.m.-5 p.m.
• W 9:30 a.m.-12:30 p.m.
• Instructor: David Klass
  Info
• Instructor: Blair Singer
  Info
• Instructor: Carter Bays
  Info
• 3 points

Design of Medical Experiments

DESIGN OF MEDICAL EXPERIM

This course covers the fundamental principles and techniques of experimental designs in clinical studies. This is a required course for MS, DrPH and Ph.D. in Biostatistics. Topics include reliability of measurement, linear regression analysis, parallel groups design, analysis of variance (ANOVA), multiple comparison, blocking, stratification, analysis of covariance (ANCOVA), repeated measures studies; Latin squares design, crossover study, randomized incomplete block design, and factorial design.

• Department: Biostatistics
• M 4 p.m.-6:50 p.m.
• 3 points

Advanced Statistical and Computational M

ADV STAT/COMPUT MTHD-GEN/

This course introduces students to advanced computational and statistical methods used in the design and analysis of high-dimensional genetic data, an area of critical importance in the current era of BIG DATA. The course starts with a brief background in genetics, followed by in depth discussion of topics in genome-wide linkage and association studies, and next-generation sequencing studies. Additional topics such as network genetics will also be covered. Examples from recent and ongoing applications to complex traits will be used to illustrate methods and concepts. Students are required to read relevant papers as assigned by the instructor, and each student is required to present a paper during class. Students are also required to work on a project related to the course material, with midterm evaluation of the progress.
We will use one main textbook: The fundamentals of Modern Statistical Genetics by Laird and Lange (Springer, 2012). For further reading, an excellent book is also Handbook of Statistical Genetics, Volume 1 (Wiley, 2007). Another good book is Mathematical and Statistical Methods for Genetic Analysis by Ken Lange (Springer 2002).

• Department: Biostatistics
• F 1 p.m.-3:50 p.m.
• 3 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 6 p.m.-7:20 p.m.
• 3 points

ANALYSIS OF CATEGORICAL DATA

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

PROSEMINAR-GERMAN LITERATURE

PROSEMINAR: ROMANTICISM

Proseminar for Graduate Students only.

• Department: Germanic Languages
• M 10:10 a.m.-noon
• Instructor: Stefan Andriopoulos
  CULPA: 6 Wikipedia h-index: 12 Info
• 4 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.
• 3 points

Analysis of Health Surveys

ANALYSIS OF HLTH SURVEYS

This is an applied statistical methods course. The course will introduce main techniques used in sampling practice, including simple random sampling, stratification, systematic sampling, cluster sampling, probability proportional to size sampling, and multistage sampling. Using national health surveys as examples, the course will introduce and demonstrate the application of statistical methods in analysing across-sectional surveys and repeated and longitudinal surveys, and conducting multiple imputation for missing data in large surveys. Other topics will include methods for variance estimation, weighting, post-stratification, and non-sampling errors. If time allows, new developments in small area estimation and in the era of data science will also be discussed.

• Department: Biostatistics
• W 1 p.m.-3:50 p.m.
• Instructor: Qixuan Chen
  h-index: 27 Info
• 3 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

Biostatistical Methods I

BIOSTATISTICAL METHODS I

This one-semester course introduces basic applied descriptive and inferential statistics. The first part of the course includes elementary probability theory, an introduction to statistical distributions, principles of estimation and hypothesis testing, methods for comparison of discrete and continuous data including chi-squared test of independence, t-test, analysis of variance (ANOVA), and their non-parametric equivalents. The second part of the course focuses on linear models (regression) theory and their practical implementation.

• Department: Biostatistics
• 3 points

ACTING III

MFA acting students will tackle verse drama and heightened language. We will spend much of our time investigating Shakespeare’s writing, with a focus on King Lear and Much Ado about Nothing, and will weave in contemporary heightened language texts throughout the semester. 

Goals



To develop students into keen interpreters of heightened theatrical language, both classical and contemporary



To enable students to express their instinctive emotional responses to the rhythms, sounds and the mysteries contained in great language texts



To bring character and the specific imaginative world of each play alive thru the language



To foster each actor’s unique voice

• Department: Theatre Arts
• Instructor: Peter Fernandez
  Wikipedia Info
• 3 points

Introduction to Randomized Clinical Tria

INTRO TO RAND CLINICAL TR

Students in this course will learn and practice the fundamental methods and concepts of the randomized clinical trial: protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, crossovers, collaborative trials. Each student prepares and submits the protocol for a real or hypothetical clinical trial.

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

Clinical Trial Methodology

CLINICAL TRIAL METHODOLOG

Clinical trials are the pilars of clinical research. The main objective of this course is to prepare researchers to design and conduct complex clinical trials that yield valid and reliable results. The course emphasizes on several methodological and practical issues related to the design and analysis of clinical experiments. The course builds on the knowledge and skills gained in the course Randomized Clinical Trial (P8140). The objective of this course is to provide students with working knowledge of certain methodological issues that arise in designing a Clinical Trial. Topics include: Design of small studies (Phase I and II studies), Interim analyses and group sequential methods, Design of survival studies, Multiple outcome measures, Equivalency Trials, Multi-center studies, and trials with multiple outcome measures.

• Department: Biostatistics
• R 8:30 a.m.-11:20 a.m.
• Instructor: Cheng-Shiun Leu
  h-index: 28 Info
• 3 points

Human Population Genetics

HUMAN POPULATION GENETICS

A good grasp of the fundamentals of Population Genetics is crucial for an understanding of any field of human genetics. This is precisely the aim of this course: to provide to students the key elements of Population Genetics with a view to equip them with the right tools to understand the field of genetics in general and to pursue further studies in human genetics. The course uses various evolutionary principles to explain key population genetics concepts.

• Department: Biostatistics
• M 1 p.m.-3:50 p.m.
• Instructor: Prakash Gorroochurn
  Info
• 3 points

ACTING TECHNIQUES

ACTING THROUGH SONG

• Department: Theatre Arts
• Instructor: Jenn Colella
  Wikipedia Info
• 3 points

Analysis of Longitudinal Data

ANALYSIS OF LONGITUDINAL

The course will introduce students to statistical models and mthods for longitudinal data, i.e., repeatedly measured data over time or under different conditions. The topics will include design and sample size calculation, Hotelling's T^2, multivariate analysis of variance, multivariate linear regression (Generalized linear models), models for correlation, unbalanced repeated measurements, Mixed effects models, EM algorithm, methods for non-normally distributed data, Generalized estimating equations, Generalized linear mixed models, and Missing data.

• Department: Biostatistics
• TR 3 p.m.-4:20 p.m.
• Instructor: Zhonghua Liu
  Info
• 3 points

Relational Databases and SQL Programming

RELATIONAL DATABASES AND

In this course, you will learn to design and build relational databases in MySQL and to write and optimize queries using the SQL programming language. Application of skills learned in this course will be geared toward research and data science settings in the healthcare field; however, these skills are transferable to many industries and application areas. You will begin the course examining the pitfalls of using Excel spreadsheets as a data storage tool and then learn how to build properly-designed relational databases to eliminate the issues related to spreadsheets and maintain data integrity when storing and modifying data. You will then learn two aspects of the SQL programming language: 1) the data manipulation language (DML), which allows you to retrieve data from and populate data into database tables (e.g., SELECT, INSERT INTO, DELETE, UPDATE, etc.), and 2) the data definition language (DDL), which allows you to create and modify tables in a database (e.g., CREATE, ALTER, DROP, etc.). You will additionally learn how to optimize SQL queries for best performance, use advanced SQL functions, and utilize SQL within common statistical software programs: R and SAS.

• Department: Biostatistics
• T 5:30 p.m.-8:20 p.m.
• R 5:30 p.m.-8:20 p.m.
• Instructor: Zoe Verzani
  Info
• 3 points

Political Theory of Democratization, De-

Democ, De-Democ, Regime C

Concern about the retreat of democracy, democratic recession and/or democratic backsliding are proliferating in the political theoretical and comparative politics literature. While domestic and external threats to democracy and reverse waves are not new, there is widespread agreement that today even long-consolidated, wealthy democracies are now at risk and that new dynamics of de-democratization are at play. This course will involve an in-depth study of the political theory and comparative politics literature on the relevant concepts and dynamics: transition, democratization, de-democratization, democratic backsliding, hybridization, “post-democracy” and the assumptions undergirding them. We will discuss the various concepts of democracy and regime used or presupposed in the relevant literature and assess how these have evolved. The purpose of the first part of the course is to rethink the basic concepts and theories regarding democracy breakdown, transitions to democracy, democratic consolidation, backsliding and hybridization of democratic regimes and to clarify the conceptual and political issues regarding thresholds, cycles, and the like. The last third of the course will focus on cycles of democratization, de-democratization and re-democratization in the case of the U.S.: the oldest representative constitutional democracy and the one most typically taken as the exemplar of a consolidated democratic regime.

• Department: Political Science
• W 2:10 p.m.-4 p.m.
• Instructor: Jean L Cohen
  CULPA: 7 Wikipedia h-index: 63 Info
• 4 points

Phys & Nutrition Through the Lifecycle

General aspects of normal human growth and development from viewpoints of physical growth, cellular growth and maturation, and adjustments made at birth; the impact of altered nutrition on these processes. Prenatal and postnatal malnutrition, the role of hormones in growth; relationships between nutrition and disease in such areas as anemia, obesity, infection, and carbohydrate absorption.

• Department: Human Nutrition, Institute of
• TR 1:30 p.m.-3:20 p.m.
• Instructor: Moneek Madra
  Info
• 3 points

NONFICTION THESIS WORKSHOP

• Department: Writing
• W 2 p.m.-5 p.m.
• T 1:10 p.m.-4:10 p.m.
• M 1:10 p.m.-4:10 p.m.
• W 9:30 a.m.-12:30 p.m.
• Instructor: Chloe Jones
  Info
• Instructor: Jaquira Diaz
  Wikipedia Info
• Instructor: Leslie S Jamison
  Wikipedia Info
• Instructor: Wendy Walters
  Info
• 9 points

SAS Insights for CEOR

Data is most useful when it can tell a story. Health analytics merges technologies and skills used to deliver business, clinical and programmatic insights into the complex components that drive medical outcomes, costs and oversight. By focusing on business intelligence and developing tools to evaluate clinical procedures, devices, and programs, organizations can use comparative and outcomes data to strengthen financial performance. This information can improve the way healthcare is evaluatedand delivered for better outcomes across the spectrum of health industries.

 

In this course, students will learn SAS as a tool to manipulate and analyze healthcare data and begin to understand what clinical and public health interventions work best for improving health, for example. Students will learn how to organize and analyze data to inform the practices of healthcare providers and policymakers to make evidence-based resource allocation decisions.Comparative & Effectiveness Outcomes Research (CEOR) certificate students will take this course inpreparation for the capstone class.SAS basics (e.g., creating SAS datasets and new variables, sorting, merging, reporting) and advanced statistics (e.g., using a logistical regression to create propensity scores for matched cohort analyses) will be covered.

• Department: Health Policy & Management
• M 1 p.m.-3:50 p.m.
• Instructor: Yongmei Huang
  h-index: 22 Info
• 1.5 points

Critical Read of Biological Clinical Lit

Crit Read of Bio Clin Lit

Fall: Review of current literature providing complementary information pertinent to other nutrition areas, with a view to developing a critical approach to the assimilation of scientific information. Spring: Obesity: Etiology, Prevention, and Treatment. Controversies involving regulation of weight and energy balance. Interaction between genetics and the environment are considered as well as clinical implications of our current knowledge.

• Department: Human Nutrition, Institute of
• M 8 a.m.-11:50 a.m.
• Instructor: Rajasekhar Ramakrishnan
  Info
• 3 points

Theoretical Statistics

STAT ANALYSIS-NEURAL DATA

.

• Department: Statistics
• F 10 a.m.-noon
• Instructor: Liam M Paninski
  CULPA: 4 Info
• 3 points

Theoretical Statistics

.

• Department: Statistics
• M 10 a.m.-noon
• Instructor: Samory Kpotufe
  CULPA: 2 Info
• 3 points

Behavioral Policy & Public Health

Applications of behavioral insights are expanding rapidly across civic, medical, social, corporate, educational, and economic professions. This class covers the underlying theories for behavioral science, using scientific and real-world examples of applications from multiple disciplines and locations. The course will also cover methods for behavioral policy implementation and evaluation, focusing particularly on healthcare policy perspectives. Students will learn a broad range of strategies through a highly interactive format, taught partially in a classroom setting in addition to remote asynchronous and synchronous sessions. Students will gain experience designing and developing their own evidence-based behavioral interventions as a part of a group project.

• Department: General Public Health
• R 5:30 p.m.-6:30 p.m.
• Instructor: Kai Ruggeri
  h-index: 22 Info
• 1.5 points

Behavioral Policy & Public Health

Applications of behavioral insights are expanding rapidly across civic, medical, social, corporate, educational, and economic professions. This class covers the underlying theories for behavioral insights, using scientific and real-world examples of applications from multiple disciplines and locations. The course will also cover methods for behavioral implementation and evaluation, focusing particularly on healthcare policy perspectives. Students will learn a broad range of strategies through a highly interactive format, taught partially in a classroom setting in addition to remote asynchronous and synchronous sessions. Students will gain experience designing and developing their own evidence- based behavioral interventions as a part of a semester-long project.

The course is taught in three phases. The first phase will introduce fundamentals of behavioral science and evidence-based policy. Students will then spend the majority of the course on examples of behavioral insights such as nudges in practice, in a healthcare context and beyond. The course will end with sessions on practical applications, where students will learn to identify appropriate situations for behavioral interventions and produce a final project in a chosen context.

• Department: Health Policy & Management
• R 1 p.m.-2:30 p.m.
• Instructor: Kai Ruggeri
  h-index: 22 Info
• 1.5 points

BIOCHEM-PHYSIOL BASIS-NUTR I

Aspects of carbohydrate, lipid, protein, and energy metabolism relevant to the understanding of nutrition at cellular and organism levels. Biochemical and physiological aspects of vitamin and mineral metabolismand action during both normal conditions and deficiency toxicity states.

• Department: Human Nutrition, Institute of
• MW 3:30 p.m.-5 p.m.
• 3 points

New Directions in Russian History: The 1

NEW DIRECTIONS IN RUSSIAN

This semester’s colloquium focuses on new (and not-so-new) literature on the eighteenth century in Russia, Ukraine, the Baltic and Black Sea regions, and Siberia. Problems that have attracted a growing international community of scholars include: economic development and corresponding intellectual currents such as mercantilism or physiocratism; language and translation, both in a literal sense and in terms of political concepts; natural resources and environmental issues; agricultural and industrial labor and peasant mobility; relations of church and state, sacred and secular, from the
Spiritual Regulation
to Catherine II’s secularization of church property; the court society and diplomatic representation, ceremony, and ritual; scientific expeditions and exploration of Siberia; the Seven Years’ War. Such questions transcend an older focus on the two “great” rulers and their reforms.

• Department: History
• T 4:10 p.m.-6 p.m.
• Instructor: Catherine Evtuhov
  CULPA: 2 Info
• 4 points

Law & Policy: Mass Incarceration in the

LAW & POLICY: MASS INCAR

From 1970 until today, America’s prison and jail population has increased sevenfold, from some 300,000 to around 2.2 million adults and children behind bars. Accounting for less than 5 percent of the world’s inhabitants, but about 25 percent of the world’s incarcerated inhabitants, the United States is the most incarcerating society in human history. The U.S. federal and state governments imprison more people and at higher rates than do any other governments on the planet, and they do so today more than they did at any other period in American history.
This astounding amount of human confinement (commonly called “mass incarceration”) disproportionately impacts the polity’s poorest communities of color—especially young Black males—which suffer from chronic conditions and infectious disease; face higher mortality rates; and experience, because of criminal records, less opportunity to secure gainful employment, stable housing, access to safety net programs, and education. Female incarceration over the past few decades has grown at twice the rate of male incarceration, and black women, specifically, are twice as likely as white women to serve time. Imprisonment exposes people to a wide range of circumstances proving detrimental to long-term physical and mental health, like inadequate sanitation, poor ventilation, and solitary confinement. And most formerly incarcerated people return to their communities with deep wounds and new traumas resulting from incarcerated life and from isolation through long separations from families and social supports.
This course sits at the intersection of public health, policy, and law. The course will explore the full spectrum of causes and costs of mass incarceration as a public health crisis. This course will examine how exposures to different structures of the American criminal punishment apparatus (e.g., law enforcement, jail, prison, or detention centers, community supervision) shape the health of people, families, and society. Observing mass incarceration as an epidemic, this course will adopt a useful public-health model of prevention to contemplate a concerted approach consisting of primary, secondary, and tertiary strategies for unwinding mass human imprisonment while advancing enhanced public health for the nation’s most disempowered members. This course will pay special attention to acutely at-risk populations, including detained youth and youth of incarcerated adults, pregnant incarcerated people, and the elderly. And the role that

• Department: Health Policy & Management
• R 5:30 p.m.-8:20 p.m.
• Instructor: Hernandez Stroud
  Wikipedia Info
• 1.5 points

Case Competition Fundamentals

CASE COMPETITION FUNDAMEN

The Course introduces students to the fundamentals of case competitions and prepares them to compete in select case competitions over the course of the year. Case competitions afford students the opportunity to apply classroom learning to dynamic health care organizational and industry problems. The Course covers topics ranging from the framework for breaking down cases to common analytical techniques and presentation skills. We will build the foundational skills for students to prepare and deliver comprehensive, professional analyses in competitive settings.

• Department: Health Policy & Management
• W 10 a.m.-11:20 a.m.
• R 10 a.m.-11:20 a.m.
• Instructor: David Rosenthal
  Info
• 1.5 points

Spurring Social Justice in Public Health

SPURRING SOCIAL JUSTICE I

This course will introduce the theory and frameworks that ground advocacy and community organizing with the aim of enabling such practices within public health and beyond. Students will deepen their understanding of the strategies behind effective advocacy, capacity building, and organizing, both in the field and within institutions. In learning history, power structures, power relations, and pre-existing models, students will learn not only about changemaking but how to affect systemic change themselves. They will learn frameworks to understand social problems and alter power relations including theory of change, relational power building, and power mapping. By examining epidemics, social movements, community health, institutional failures, and public policy, this course will provide students the ability to understand the “why” and the “how” of becoming an advocate and organizer.

• Department: Health Policy & Management
• M 1 p.m.-3:50 p.m.
• Instructor: Kifah Shah
  Info
• 1.5 points

Korean Cultural Studies Seminar

This course inaugurates a new seminar series that moves across the pre- and post-1945 divide to address cultural forms that navigate intersections among gender, sexuality, mind, body, self, race, empire, technology, militarism (among other concerns). Working across disciplines, the present seminar will focus on the institutionalization of care as central to the idea of the modern and the empirical project of modernization. We begin with an overview on science and technology followed by an engagement with clinical psychiatry, women’s health, and literary representations that connect incarceration to broader rehabilitative praxis. Building off of the discussion of the colonial medical complex, the seminar will conclude with a consideration of the relations between the colonial modern and postcolonial developmentalism.

• Department: East Asian Languages and Cultures
• R 4:10 p.m.-6 p.m.
• Instructor: Theodore Hughes
  CULPA: 6 Info
• 4 points

Ethical Decision-Making: how to make eth

Who gets what and why? Policy makers and stakeholders in the healthcare space must make difficult decisions involving trade-offs that are often controversial. By exploring a series of ethical frameworks and contentious healthy policy issues, students will learn to apply a systematic process of ethical analysis to justify policies in a legitimate way. Through a dynamic teaching approach involving case studies, role playing and active discussion, we will explore how acceptability and feasibility of controversial policies can be enhanced to promote health equity using tools from distributive justice, procedural justice and bioethics. Topics of discussion include migrant health/migration policy, rationing at the VA, using algorithmic fairness in policy design and nudging in the safety-net.

• Department: Health Policy & Management
• T 1 p.m.-3:50 p.m.
• Instructor: Thalia Porteny
  Info
• 1.5 points

Political Communication

POLS GR8228 is designed as a graduate-level introduction to the study of political communication. As an introduction to the field, it is structured to cover a wide range of topics and methodological approaches. No single course can provide comprehensive coverage of a fascinating subfield with as long and diverse a history as political communication. As such, this seminar will focus on relatively recent work. Students will leave this course with a strong grasp of major theories, trends, methods, findings and debates in this area of study, as well as the gaps in our knowledge and promising directions for future research.

• Department: Political Science
• M 6:10 p.m.-8 p.m.
• Instructor: Eunji Kim
  Info
• 4 points

Human-Centered Non-Fiction In Public Hea

HMN-CNTRD NON-FCTN IN PBL

We are currently living in a climate of apathy, collective outrage, growing distrust in public institutions, and an onslaught of dangerous dis- and misinformation, especially about science. For those of us in public health these are challenging times. How can we write about pressing issues—race, disease, poverty, women’s rights, depression, homeless—and reach an audience that is contentious or refuses to listen? How can get these same people to care? In this class, we delve into the art of storytelling through reading human centered non-fiction and essays that focus on/speak to different public health issues. We will look closely at each genre, reading with an eye toward examining its goal, the narrative structure, main character, and issue at hand. Taking what we’ve learned we will apply these techniques to our own writing, developing the storytelling skills necessary to effectively communicate and “win over” the general public, and hopefully inspire and persuade readers to listen and act.

• Department: Health Policy & Management
• T 5:30 p.m.-8:20 p.m.
• Instructor: Maria Smilios
  Info
• 1.5 points

Lessons from Transformational Advances

Lssns from Trnsfrmtnl Adv

Popular media routinely tout imminent breakthroughs that often fizzle. In this course, we examine advances that indisputably changed medical practice in the last quarter of the 20th century through case histories. The case histories suggest that protracted,
multiplayer
innovations – not solitary breakthroughs – produce transformational results. Yet venturesome individuals who do not follow the crowd remain crucial. Engaging stories make the vast number of facts presented in the case histories memorable. But the course treats learning new facts mainly as a valuable byproduct. Rather, we rely on the case histories in two more subtle ways, namely: (1) developing skills and judgment and (2) sharpening goals and aspirations.

• Department: Health Policy & Management
• T 1 p.m.-3:50 p.m.
• W 1 p.m.-3:50 p.m.
• Instructor: Amarnath V Bhide
  Info
• 3 points

SEM IN MUSIC COMPOSITION I

Individual projects in composition.

• Department: Music
• W 3:10 p.m.-5 p.m.
• 3 points

Implementing Innovative Health Policy Re

Implemnt Innov Hlth Plcy

By studying healthcare innovations within the context of health reform, students can learn how novel approaches can be integrated into reform strategies to overcome systemic inefficiencies, enhance equity in healthcare delivery, and ultimately contribute to the goal of improving health systems. This approach encourages students to think creatively and practically about transforming healthcare systems to deliver improved outcomes and better serve the needs of populations, particularly in low and middle-income countries. The course is structured around the analytical framework of five policy levers of financing, payment, organization, regulation, and persuasion, as critical determinants of health system performance developed by Roberts, Hsiao, Berman & Reich.

• Department: Health Policy & Management
• M 1 p.m.-3:50 p.m.
• Instructor: Thalia Porteny
  Info
• 1.5 points

Music Beyond 12 Tone Temperament II

This class is intended for students to develop composing skills for creating music “between the keys” (or “outside the keys”) of a traditionally tuned piano or organ.  We will be analyzing relevant works and techniques of the present and of the past.  Students compose and perform/present their own music influenced by these works and techniques.  We will start with “just intonation” and with music independent from Western traditions.  Students are free to enroll for “Music beyond 12 tone temperament II” before “Music beyond 12 tone temperament I”.  Knowledge of the harmonic row’s intonation, at least until the 17th partial, is mandatory.

• Department: Music
• T 4:10 p.m.-6 p.m.
• Instructor: Georg Friedrich Haas
  Info
• 3 points

STDY GEN/SEXUALITY-ARAB WORLD

This course aims to familiarize graduate students with the different methods and approaches that US and European scholars have used to study gender and sexuality in other societies generally, and the way they study them in the context of the Arab World specifically. The course will also explore how Arab scholars have also studied their own societies. We will survey these different approaches, both theoretical and empirical, outlining their methodological difficulties and limitations. Readings will consist of theoretical elaborations of these difficulties and the methodological and empirical critiques that the field itself has generated in order to elaborate how gender and sexuality in the Arab World have been studied, or more accurately, not studied, and how many of these methodological pitfalls can be avoided.

• Department: Middle Eastern, South Asian and African Studies
• T 4:10 p.m.-6 p.m.
• Instructor: Joseph A Massad
  CULPA: 23 Wikipedia Info
• 4 points

CRITICAL ISSUES METHODOLOGIES: USE

CRIT ISSUES METHODOLOGIES

In 1964, Fluxus artist Daniel Spoerri fulfilled an unrealized wish of Marcel Duchamp’s by stretching a replica of the Mona Lisa over an ironing board. For her 2017 survey at the Yerba Buena Center for the Arts, Tania Bruguera included a photograph of a urinal she had installed in The Queens Museum, accompanied by the statement: “It’s time to return Duchamp’s urinal to the bathroom.” However we interpret these gestures, separated by more than fifty years, it’s clear that Duchamp’s “reciprocal readymade” endures as a potent model for the transvaluation of artwork and artistic practices into different states and uses.

• Department: Visual Arts
• M 10 a.m.-noon
• Instructor: Tyler S Coburn
  Info
• 3 points

Atmospheric and Climate Science for Publ

ATMOSPHERIC & CLIMATE SCI

This course introduces the fundamental physical principles that govern the behavior of the earth's atmosphere and climate. Topics to be studied include the general circulation of the atmosphere, motions on a rotating sphere, atmospheric thermodynamics, radiative transfer, the basic chemistry and physics of air pollution, the hydrologic cycle, climate dynamics and synoptic weather. The effects of these systems on public health, including mental health, rates of exercise, infectious disease, allergens and asthma, heat morbidity and mortality, will be assessed throughout the course.

• Department: Environmental Health Sciences
• TR 10 a.m.-11:20 a.m.
• Instructor: Robbie Parks
  Info
• 3 points

TOPICS IN PROBABILITY THEORY

• Department: Statistics
• T 10:10 a.m.-noon
• Instructor: Cynthia Rush
  CULPA: 1 h-index: 12 Info
• 3 points

DIGITAL STORY TELLING I: History and The

HISTORY&THEORY OF INTERACTIVIT

What does interaction have to do to storytelling? How do we tell stories within media that are non-linear, including games, virtual reality, and immersive theater? How can we craft narratives that emerge from the dynamics of interaction, narratives experienced through exploration and choice? What design strategies exist regarding an understanding of character, plot, drama, time, space, and event within interactive fictions? This course will take a close look at the mechanics of storytelling within dynamic media, exploring connections between interactivity and narrative experience. The course will examine examples ranging from the design of Live Action Role Playing games to massively multi-player experiences, from hypertext to tarot cards, from Oculus to Punchdrunk. Content will be delivered through lectures, reading, discussion, case studies, and small studio-based exercises. Elective open to all SOA students.

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Akmyrat Tuyliyev
  Info
• 3 points

Occupational and Environmental Hygiene

OCCUPATIONAL AND ENVIRONM

This course introduces students to the basic principles and practices of Occupational and Environmental Hygiene. This field encompasses the anticipation, recognition, evaluation, and control of chemical, physical, and biological hazards arising in and from the workplace, home, and ambient environments. The course content encompasses many diverse aspects of the field such as the inhalation hazards of gases and vapors, the effects of particle size and morphology on aerodynamic behavior, respiratory system deposition, and disease risk, factors influencing dermal permeation of chemicals, biological monitoring for chemicals and their metabolites, and approaches to measurement and associated instrumentation. This course is intended to provide a basic understanding of the field for students in Public Health disciplines, and is the starting point for students who may choose to pursue occupational and environmental hygiene as a career.

• Department: Environmental Health Sciences
• R 5 p.m.-7:50 p.m.
• Instructor: Christopher F Pettinato
  Info
• 3 points

Molecular Epidemiology

MOLECULAR EPIDEMIOLOGY

Molecular epidemiology is an interdisciplinary research approach that incorporates advanced laboratory methods into epidemiology to identify causes of disease and facilitate intervention. It is increasingly utilized as a tool to understand interactions between external ‘environmental’ exposures and genetic and other susceptibility factors, and to identify ‘at-risk’ populations and individuals. This course will cover conceptual and methodological issues in molecular epidemiology including the application of biomarkers to the study of disease causation, risk assessment, and prevention. The course covers principles in the selection and validation of biomarkers, study design and statistical methods in data analysis including gene-environment interactions, biological sample collection, storage, and banking, and current laboratory methods for biomarker analysis. These principles will be illustrated using examples from current molecular epidemiologic research in cancer, neurodevelopment, childhood asthma, screening, risk assessment and disease prevention. Students will gain proficiency and experience in critically evaluating key papers in molecular epidemiologic studies.

• Department: Environmental Health Sciences
• W 1 p.m.-3:50 p.m.
• Instructor: Julie B Herbstman
  Info
• 3 points

Molecular Toxicology

MOLECULAR TOXICOLOGY

This course is designed to provide students with a comprehensive mechanistic understanding of the molecular events associated with chemically-induced degenerative and proliferative diseases.

• Department: Environmental Health Sciences
• M 5:30 p.m.-8:20 p.m.
• Instructor: Greg A Freyer
  Info
• 3 points

ECONOMETRICS COLLOQUIUM

Prerequisites: ECON G6411 and G6412. Students will make presentations of original research.

• Department: Economics
• W noon-1 p.m.
• 2 points

ADV CONTINUUM MECHANICS

Review of continuum mechanics in Cartesian coordinates; tensor calculus and the calculus of variation; large deformations in curvilinear coordinates; electricity problems and applications.

• Department: Civil Engineering and Engineering Mechanics
• MR 9 a.m.-11:30 a.m.
• Instructor: Gautam Dasgupta
  CULPA: 3 h-index: 19 Info
• 4 points

Principles of Toxicology

PRINCIPLES OF TOXICOLOGY

This course explains the toxic effects of chemicals (including drugs and other agents) on living organisms. An overview of the history, principles, mechanisms and regulatory applications of toxicology is provided. Also, the absorption, distribution and excretion of toxins are described. The toxic effects of chemicals (including cancer) on the digestive (liver), respiratory, cardiovascular, nervous, hematopoetic, immune, dermal, urinary, endocrine and reproductive systems and development forms the major portion of the course. Members of chemical classes such as solvents, metals, pesticides, air pollutants (sulfur dioxide, nitrogen oxides and ozone), radiation, plants, fungi, venoms and pharmaceuticals are used as examples. Environmental toxicology form the primary emphasis, but aspects of occupational, food, pharmaceutical and clinical toxicology are also included.
An optional addition hour for credit is provided for those students needing a background in anatomy, histology, chemistry, biochemistry, cell biology, and the normal physiology of the digestive (liver), respiratory, cardiovascular, nervous, hematopoetic, immune, dermal, urinary, endocrine and reproductive systems.

• Department: Environmental Health Sciences
• M 1 p.m.-3:30 p.m.
• Instructor: Allison Kupsco
  Info
• 3 points