Graduate Independent Research

Independent Study with Faculty Advisor must be registered for every semester after first academic year

• Department: Statistics
• Instructor: Ming Yuan
  h-index: 45 Info
• Instructor: Tian Zheng
  CULPA: 13 Wikipedia h-index: 25 Info
• Instructor: Genevera Allen
  Info
• Instructor: Christopher Harshaw
  Info
• 3 points

Graduate Independent Research

Independent Study with Faculty Advisor must be registered for every semester after first academic year

• Department: Statistics
• 3 points

GRAD STUDENT & FACULTY COLLOQ

FEMINIST PEDAGOGY

This is a course is oriented to graduate students who are thinking about issues in teaching in the near and distant future and want to explore forms of pedagogy. The course will ask what it means to teach “as a feminist” and will explore how to create a classroom receptive to feminist and queer methodologies and theories regardless of course theme/content. Topics include: participatory pedagogy, the role of political engagement, the gender dynamics of the classroom, modes of critical thought and disagreement. Discussions will be oriented around student interest. The course will meet 4-5 times per SEMESTER (dates TBD) and the final assignment is to develop and workshop a syllabus for a new gender/sexuality course in your field. Because this course is required for graduate students choosing to fulfill Option 2 for the Graduate Certificate in Feminist Studies at IRWGS, priority will be given to graduate students completing the certificate.

• Department: Women's and Gender Studies
• Instructor: C. Riley Snorton
  Info
• 1 points

ASTROPHYSICAL FLUID DYNAMICS

• Department: Astronomy
• Instructor: Lorenzo Sironi
  h-index: 39 Info
• 3 points

FNDN EXCELLENCE DENTAL PRACTICE IV

FNDNL EXCELLENCE DENT PRA

• Department: Dental and Oral Surgery
• 0 points

DISSERTATION COLLOQUIUM

The dissertation colloquium is a non-credit course open to MESAAS doctoral students who have completed the M.Phil. degree. It provides a forum in which the entire community of dissertation writers meets, bridging the departments different fields and regions of research. It complements workshops outside the department focused on one area or theme. Through an encounter with the diversity of research underway in MESAAS, participants learn to engage with work anchored in different regions and disciplines and discover or develop what is common in the departments post-disciplinary methods of inquiry. Since the community is relatively small, it is expected that all post-M.Phil. students in residence will join the colloquium. Post M.Phil. students from other departments may request permission to join the colloquium, but places for non-MESAAS students will be limited. The colloquium convenes every semester, meeting once every two weeks. Each meeting is devoted to the discussion of one or two pre-circulated pieces of work (a draft prospectus or dissertation chapter). Every participant contributes at least one piece of work each year.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Timothy Mitchell
  Wikipedia h-index: 34 Info
• 0 points

Financial Statement Analysis a

This course will provide students with hands-on experience analyzing financial statements. Students will learn about the general tools, theoretical concepts, and practical valuation issues of financial analysis. By the end of the course, students should be comfortable using firms' financial statements (along with other information) to assess firm performance and make reasonable valuation estimates.
Course content and organization In the first half of the course, we will develop a valuation framework that integrates a firm’s strategy, its financial performance, and the credibility of its accounting. The framework consists of the following steps:
1. Understand the firm’s strategy. We will assess the firm’s value proposition and identify its key value drivers and risks.
2. Accounting Analysis. We will assess earnings quality and evaluate whether the firm's accounting policies capture the underlying business reality. If not, we will adjust the accounting to eliminate GAAP issues and management biases.
3. Financial Analysis. We will evaluate current performance with accounting data and financial ratios.
4. Prospective Analysis: Forecasting. We will assess whether current firm performance is sustainable, and we will forecast future performance. In our forecasts, we will consider growth, profitability, and future competitive advantage.
5. Prospective Analysis: Valuation. We will convert our forecasts of future earnings and book values into an estimate of the firm’s current value.
In the second half of the course, we will apply the above framework to a variety of business valuation contexts, including IPOs, mergers, and equity-investment analyses.

• Department: Accounting (ACCT)
• Instructor: Valentin Dimitrov
  Info
• 3 points

Financial Statement Analysis a

This course will provide students with hands-on experience analyzing financial statements. Students will learn about the general tools, theoretical concepts, and practical valuation issues of financial analysis. By the end of the course, students should be comfortable using firms' financial statements (along with other information) to assess firm performance and make reasonable valuation estimates.
Course content and organization In the first half of the course, we will develop a valuation framework that integrates a firm’s strategy, its financial performance, and the credibility of its accounting. The framework consists of the following steps:
1. Understand the firm’s strategy. We will assess the firm’s value proposition and identify its key value drivers and risks.
2. Accounting Analysis. We will assess earnings quality and evaluate whether the firm's accounting policies capture the underlying business reality. If not, we will adjust the accounting to eliminate GAAP issues and management biases.
3. Financial Analysis. We will evaluate current performance with accounting data and financial ratios.
4. Prospective Analysis: Forecasting. We will assess whether current firm performance is sustainable, and we will forecast future performance. In our forecasts, we will consider growth, profitability, and future competitive advantage.
5. Prospective Analysis: Valuation. We will convert our forecasts of future earnings and book values into an estimate of the firm’s current value.
In the second half of the course, we will apply the above framework to a variety of business valuation contexts, including IPOs, mergers, and equity-investment analyses.

• Department: Accounting (ACCT)
• Instructor: Valentin Dimitrov
  Info
• 3 points

Fundamental Analysis for Inves

Most of the decisions of analysts, consultants, entrepreneurs, investors and managers require us to look ahead and assess an uncertain future. In this class, you will learn a unique approach to decision making that will help you consider the fundamentals of enterprises and how to link these fundamentals to underlying measures, which in turn will help you make better investment or management decisions. Students who have taken this course often comment on how it has transformed their thinking and understanding of companies. It also serves as a useful “capstone” to the MBA program as we draw on what was taught in most core courses.
In developing this line of reasoning and performing the analysis, we consider how to think about a new business as well as a publicly traded company. Having considered the basic building blocks, we next examine how the business resources and activities are translated into financial statements (whether for an early stage or public company) and consider what we learn from financial statements. We consider the extensive information increasingly available from outside sources, including various websites as well as Bloomberg and CapIQ. We also consider how certain accounting measures and practices impact the measures of the key elements of the business.
Focusing on the future, we take a different approach to many topics/concepts that are covered in various ways in other financial statement analysis, earnings quality, and security analysis and valuation classes. Many students take this course as well as other seemingly similar courses, and we have never received any feedback that the coverage in this course is redundant, irrespective of the other courses taken by students.
We will focus on understanding how entities create or destroy value for various stakeholders and what it would take to change this, how to consider uncertainty more explicitly in plans, and whether this fundamental value is reflected in the price or not (for entities that it applies to).
We will also take some time each week to address any topics that are in the financial press that bear on the subjects and the approach.

• Department: Accounting (ACCT)
• Instructor: Shivaram Rajgopal
  Wikipedia h-index: 50 Info
• 3 points

M.PHIL TEACHING EXPERIENCE

Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.

• Department: Biomedical Informatics
• Instructor: Harry Jr. Reyes
  Info
• Instructor: Chunhua Weng
  h-index: 37 Info
• Instructor: Tara V Anand
  Info
• 2 points

ADV KOREAN IN MIXED SCRIPT

This course is designed to provide both M.A. and Ph.D. students in Korean studies with the necessary skills for reading and understanding Korean mixed script and to provide them with reading materials focusing on period from the late-19th century to the mid-20th century. Readings from this period feature a strong mixture of Chinese and Korean characters, so a wide choice of materials is available which represents all subject areas. This course will be part of the graduate program in Korean studies.

• Department: East Asian Languages and Cultures
• Instructor: Hyunkyu Yi
  CULPA: 8 Info
• 4 points

MASTER CLASS

• Department: Executive Classes in HPM
• Instructor: Rebecca R Sale
  Info
• 3 points

GRAD SEM IN MOD JAPANESE LIT

Prerequisites: JPNS W4017-W4018 and the instructors permission. Selected works in modern Japanese fiction and criticism.

• Department: East Asian Languages and Cultures
• 4 points

Homer s Odyssey: Ruse and Narration

Homers Odyssey

A reading of Homer’s Odyssey with a focus on seminal episodes having to do with the
construction of the plot, and the intricate relationship between the Homeric narrator, his
characters, and internal and external audiences.

The Odyssey famously contains comparisons of its polytropos character (var.
reading polykrotos) to a poet, both explicitly (11.363ff.) and implicitly (19.203 with Hesiod,
Theogony 26-9). We will consider how the quality of being polytropos (including a tendency
towards ambiguity and indirection) factors into the ethics of narration in the poem, at every level
of the narrative. We will also consider the ethics of narration in the poem in relation to its
importance in the subsequent Greek rhetorical tradition. Archaic poetry, and the Homeric
poems, often suffer from the implicit bias associated with being the earliest extant Greek
literature, leading to the view that their content is naïve when compared against the literary
developments of the fifth century and the Hellenistic period. This seminar will approach
the Odyssey as a foundational text for Greek rhetorical culture, with particular attention to what it
offered the rhetorical culture of classical Athens.

• Department: Classics
• Instructor: Elizabeth K Irwin
  CULPA: 7 Info
• 3 points

Seneca Tragedy: Models, Motivations, Mea

This seminar aims to introduce students to the range and complexity of the tragedies composed by the eminent philosopher-politician, Lucius Annaeus Seneca (
c
. 2 BCE-65 CE). The course will combine intensive linguistic analysis of individual dramas with a focus on their political, philosophical and cultural meanings in the 1st century CE. Beyond our shared study of these highly allusive texts, a main goal will be to demonstrate that Seneca does not just write within a received tradition, but also uses remarkable artistic strategies by which to give new life to that tradition.

• Department: Classics
• Instructor: Gareth Williams
  CULPA: 7 Info
• 3 points

PRE-MODERN CHINESE FICTION

• Department: East Asian Languages and Cultures
• Instructor: Wei Shang
  CULPA: 4 Wikipedia h-index: 96 Info
• 4 points

Dissertation Research

Full time research for doctoral students.

• Department: Graduate School of Arts and Sciences
• Instructor: Richard Slusarczyk
  Info
• 12 points

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
• 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)
• 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
• Instructor: Erin Dunlevy
  Info
• 3 points

VISITING ARTISTS

• Department: Theatre Arts
• Instructor: Anne Bogart
  Wikipedia Info
• 0-3 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
• Instructor: Zeynep Celik Alexander
  Info
• 4 points

QUANTUM FIELD THEORY II

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

• Department: Physics
• 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

SELF TO PERFORMANCE

• Department: Theatre Arts
• 0-3 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
• Instructor: Ryan Murphy
  Info
• 3 points

ADVANCED SCIENTIFIC COMPUTING

• Department: Physics
• Instructor: Robert D Mawhinney
  CULPA: 6 h-index: 49 Info
• 3 points

CONDENSED MATTER PHYSICS II

• Department: Physics
• 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
• 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
• 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
• 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
• 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
• 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
• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• Instructor: Yuri Faenza
  h-index: 11 Info
• Instructor: Jay Sethuraman
  CULPA: 10 Info
• Instructor: Antonius B Dieker
  CULPA: 10 h-index: 19 Info
• 3 points

VISUAL ART LAB

• Department: Visual Arts
• 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
• Instructor: Charles R Guetta
  Info
• 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
• Instructor: Timothy Mitchell
  Wikipedia h-index: 34 Info
• 4 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
• 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
• Instructor: Charles R Guetta
  Info
• 1.5 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
• Instructor: Charles R Guetta
  Info
• 1.5 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
• 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
• Instructor: Arthur Jeff Goldsmith
  Info
• 3 points

SEM-HISTROCL MUSICLGY-BAROQUE

• Department: Music
• Instructor: Giuseppe Gerbino
  CULPA: 12 Info
• 3 points

Operations Strategy

• Department: Decision, Risk and Operations
• Instructor: Medini Singh
  Info
• 3 points

Operations Strategy

• Department: Decision, Risk and Operations
• Instructor: Medini Singh
  Info
• 3 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
• Instructor: Todd Ogden
  Info
• 3 points

Service Operations Management

• Department: Decision, Risk and Operations
• Instructor: Medini Singh
  Info
• 3 points

Service Operations Management

• Department: Decision, Risk and Operations
• Instructor: Medini Singh
  Info
• 3 points

Service Operations Management

• Department: Decision, Risk and Operations
• Instructor: Medini Singh
  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
• 3 points

GROUP THEORY

• Department: Chemistry
• Instructor: Jack R Norton
  CULPA: 6 Wikipedia Info
• 2.5 points

Supply Chain Management

• Department: Decision, Risk and Operations
• Instructor: Nicole Dehoratius
  Info
• 1.5 points

Supply Chain Management

• Department: Decision, Risk and Operations
• 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
• 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
• Instructor: David Klass
  Info
• Instructor: Blair Singer
  Info
• Instructor: Carter Bays
  Info
• Instructor: Blair Singer
  Info
• 3 points

SCENE STUDY

SCENE STUDY: THE GREEKS

• Department: Theatre Arts
• 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
• Instructor: Daniel Luban
  Info
• 4 points

Applied Regression Analysis

• Department: Decision, Risk and Operations
• Instructor: Paul Glasserman
  Info
• 1.5 points

Leading Sustainable Operations

• Department: Decision, Risk and Operations
• Instructor: Nicole Dehoratius
  Info
• 1.5 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
• Instructor: Helen Li
  Info
• 3 points

Business Analytics III: Modern AI, Deep

Business Analytics III: A

• Department: Decision, Risk and Operations
• Instructor: Charles R Guetta
  Info
• 1.5 points

Business Analytics III: Modern AI, Deep

Business Analytics III: A

• Department: Decision, Risk and Operations
• Instructor: Charles R Guetta
  Info
• 1.5 points

Transforming the Delivery of H

• Department: Decision, Risk and Operations
• 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
• 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
• 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
• Instructor: Elizabeth Hayes
  Info
• 2 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
• Instructor: Linda Valeri
  h-index: 24 Info
• 3 points

Intro to Biology Course (T3ST)

Test Course for Vergil Launch Demonstration

• Department: OFFC OF THE REGISTRAR
• 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
• Instructor: Daniel S Malinsky
  Info
• 3 points

DIGITAL LITERACY-DECISION MKRS

• Department: Decision, Risk and Operations
• Instructor: Marco A Morales Barba
  Info
• 1.5 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

Sports Analytics

• Department: Decision, Risk and Operations
• Instructor: Mark N Broadie
  Info
• 3 points

Digital Health Startups

• Department: Decision, Risk and Operations
• Instructor: Halle Tecco
  Wikipedia Info
• 1.5 points

Intro to Databases for Busines

• Department: Decision, Risk and Operations
• Instructor: Mattan Griffel
  Info
• 1.5 points

Intro to Databases for Busines

• Department: Decision, Risk and Operations
• Instructor: Mattan Griffel
  Info
• 1.5 points

Antiquity in the Museum: Archaeology, Cu

The seminar introduces graduate students to works of ancient art and architecture held in museum collections. It explores the modern history of their study as antiquities, a category which required a detailed connoisseurship set within a framework of newly arising aesthetic and racial theories and classifications that accompanied imperial archaeological endeavour. The seminar’s focus is on Mesopotamian, Anatolian, Egyptian and Greek antiquities, as ancient works in their original context and as extracted objects that mark an imperial trail. Students will also be introduced to the development of archaeological field methods within the colonial context, and archaeology’s varied forms of visual documentation which became instrumental to imperial knowledge production: architectural and scientific illustrations, excavation images, and archaeological photography, and by the early twentieth century, the introduction of aerial photography as a way of visualizing sites and ruins. Taking ancient works and their display as a starting point, the seminar also explores the ways in which archaeology and the collecting of antiquities were inextricably linked to the technologies and economies of empire and colonialism. Reading and discussions include museum histories and theories of collecting, as well as the history and theories of archaeology and ancient art. Permission of the instructor is required before registration. Please submit a seminar application to the Department of Art History and Archaeology.

• Department: Art History and Archaeology
• Instructor: Zainab Bahrani
  CULPA: 11 Wikipedia Info
• 4 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
• 3 points