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
• R 4:10 p.m.-6 p.m.
• Instructor: Gil Hochberg
  CULPA: 1 Wikipedia h-index: 14 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)
• T 6 p.m.-9:15 p.m.
• R 6 p.m.-9:15 p.m.
• Instructor: Valentin Dimitrov
  Info
• 3 points

PHARMACOLOGY TECHNIQUES I

Open only to Ph.D. candidates in the pharmacological sciences training program. Students are assigned to selected research laboratories to learn current fundamental laboratory techniques.

• Department: Pharmacology
• Instructor: Nihkil Sharma
  Info
• 4-6 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)
• FM 2:20 p.m.-5:35 p.m.
• T 9 a.m.-12:15 p.m.
• 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: Chunhua Weng
  h-index: 37 Info
• Instructor: Gamze Gursoy
  Info
• 2 points

Catullus in Context

This class considers the work of Catullus in the context of the history of Latin personal poetry.A master of multiple genres and meters, Catullus wrote poems ranging in length from two to 408 lines and in topic from love to political invective to mythological narrative and beyond. Of profound influence on subsequent Latin poetry, Catullus was also part of a vibrant literary scene in mid-first-century BCE Rome, of whose productions (with the exception of Lucretius) only fragments survive. We will read Catullus in tandem with his predecessors, his contemporaries (including notably the so-called Neoterics), and his immediate successors, in order to gain a sense of his significance and place within the development of Latin literature. The class is open to graduate students, as well as to advanced postbaccalaureate and
undergraduate students with the permission of the instructor.

• Department: Classics
• M 10:10 a.m.-noon
• Instructor: Katharina Volk
  CULPA: 7 Info
• 3 points

CHILD DYNAMIC PSYCHOTHERAPY I

• Department: Psychoanalytic Center
• Instructor: Wendy L Turchin
  Info
• 0 points

ASTROPHYSICS II

Prerequisites: Prerequisites; GR6011, another introductory astrophysics course or the instructor's permission; basic General Relativity or familiarity with tensors in flat space. A continuation of G6011. Likely topics include shocks and their application to supernovae; pulsar wind nebulae; atomic physics of astrophysical plasmas; accretion onto magnetized neutron stars and white dwarfs; thick accretion disks, non-thermal X-ray generation processes; particle acceleration and propagation; gravitational wave radiation; magnetars.

• Department: Physics
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Charles J Hailey
  CULPA: 42 Wikipedia Info
• 3 points

Reading Greco-Roman Egypt

Who read the Iliad in antiquity (and how much of it)? Which plays of Euripides did people read the most? They say that the Greek novel was a popular genre: was it? And if so, which ones were people reading? What can we say about how people read Greek literature from the manuscripts that remain, as well as the various summaries, glosses, and commentaries that were read alongside them? It should go without saying that people did not read only what survived to be canonized in later periods as the “classics” of ancient Greek literature: how did all the other literary texts they read affect the way we think they read our “classics,” or, conversely, how and to what extent did our “classics” influence the literature that they read but failed to make the leap to our subsequent manuscript tradition?

One can look on the papyri that survive from Greco-Roman Egypt as a literary Burgess Shale: it preserves an entire literary ecosystem, including both the ancestors of medieval manuscripts and a mass of textual fossils--and even whole genres--that were, from a literary history perspective, evolutionary dead-ends. This class explores the literary and sub-literary texts that survive from Greco-Roman Egypt with the aims of (1) reconstructing something of the literary ecology of the Hellenistic and Roman worlds, and (2) reintegrating canonical classical Greek authors and works in the context of that ecology in which they were copied, read, studied, taught, and performed. In its fully realized expression, such a project of reconstruction and reintegration would take into account not only Greek literary and sub-literary production, but also all the texts in other languages and scripts (e.g., Egyptian, Latin, Aramaic, etc.) that once roamed the literary landscape, including Christian theological and documentary texts. There is, however, good reason to believe that the Greek literary graphomene of Egypt (as well as other regions of the
Greek East) was in fact relatively self-contained, almost an island sub-ecology, and as such represents a coherent and profitable object of study.

The course will begin with an introduction to Greco-Roman Egypt and what we know about books, book production, literacy, education, libraries, and the reading culture(s) of the region. We will then take the case of the Homeric epics as a case study in reconstructing how a specific author, text or genre was read in antiquity, before devoting individual sessions to some of the following topics: occasional

• Department: Classics
• R 4:10 p.m.-6 p.m.
• Instructor: David M Ratzan
  h-index: None Info
• 3 points

Practicum: Advanced Clinical Management

PRAC ADV CLIN MGMT & LDRS

Students will work with their faculty advisor and hospital preceptor to implement their individual quality improvement project developed in N7060.Furthermore, students will apply and synthesize the theories, competencies, and concepts of the Advanced Clinical Management and Leadership program.This will be demonstrated through assignments and experiences with precepted nurse leaders. The process will allow the student to take part in summative assessment on work done throughout the program.

• Department: Nursing
• 5 points

S PUB EDUC POLICY SEM & PRACT

• Department: Law
• Instructor: Kimberly Austin
  Info
• 5 points

S PUB EDUC POLICY SEM & PRACT

• Department: Law
• 6 points

S PUB EDUC POLICY SEM & PRACT

• Department: Law
• 2 points

MASTERS THESIS

Research in an area of mechanical engineering culminating in a verbal presentation and a written thesis document approved by the thesis adviser. Must obtain permission from a thesis adviser to enroll. Recommended enrollment for two terms, one of which can be the summer. A maximum of 6 points of master’s thesis may count toward an M.S. degree, and additional research points cannot be counted. On completion of all master’s thesis credits, the thesis adviser will assign a single grade. Students must use a department-recommended format for thesis writing.

• Department: Mechanical Engineering
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Homayoon Beigi
  Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Michael Burke
  h-index: 22 Info
• 1-3 points

Applied Fundamental Analysis with Altern

Applied Fund Analysis Alt

Finding the ground truth regarding the positioning, operations, and prospects of a company, country, resource pool, or investment opportunity is challenging. It is imperative to go beyond the numbers in financial statements with alternative data and information. In this course, we will learn to accept that no predefined formula exists to identify, quantify, and project a complex organization operating in a constantly evolving global environment.
We will highlight the importance of sufficiently framing questions for intelligence gathering and analysis. The act of questioning serves as the very foundation of any investigation, project, or research endeavor. It sharpens our focus, guides our inquiry, and lays the groundwork for meaningful and actionable answers. The power to shape our understanding of the world, businesses, consumers, and individual actors lies in the answers and data we gather and the quality and direction of the questions we pose.
The confidence to ask the right questions and break down the subject of the analysis and associated materials will be a vital component of the learning. The student will work with real datasets and benefit from direct advice, experience, and practical insights from portfolio managers, research analysts, consulting data analysts, and others to derive value from the world of information within their reach.
The combination of traditional and alternative data with the right real-world questions serves to forecast future outcomes. The overarching framework for applied learning will be:
• Collection: Framing the appropriate questions and sourcing information and data in context of the subject being evaluated.
• Evaluation: Understating the reliability of the data and validity of the information value as presented.
• Analysis: Applying methodologies and frameworks, including financial frameworks to transform the data for concise decisions.
• Reporting: Frameworks for pushing the data to subject models, including financial models, presenting the derived intelligence in a useable format.
• Distribution: Informing user, including oneself and integrating feedback on the outcomes.
This course guides the student in acquiring alternative data, extracting insight from it, using it for projections, contextual business model evaluation, and determining “unknown unknowns”. The learning journey is intended to be insightful, engaging, empowering, and supplement traditional data, such as financial statements for st

• Department: Accounting (ACCT)
• FM 2:20 p.m.-5:35 p.m.
• Instructor: Matthew M Dell Orfano
  Info
• 1.5 points

Historiography in Early Medieval China

Hist. Early Medieval Chin

This graduate seminar studies the culture of historiography in early medieval China, exploring topics such as the politics of history writing, modes of historical narration, narratology, historiographical thinking, and history (shi) as a bibliographic category and a field of knowledge.

• Department: East Asian Languages and Cultures
• T 4:10 p.m.-6:40 p.m.
• Instructor: Lu Kou
  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

INTIMACY DIRECTION FOR SM

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

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

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

Navigating DEAIB: Strategies for Stage M

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

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

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

S FIN TECH INNOVATION & TRANS OF FIN SER

• Department: Law
• Instructor: Todd H Baker
  Info
• 2 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

DIR RSCH 20TH-C RUSSIAN LIT I

Prerequisites: the department's permission.

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

VISITING ARTISTS

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

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

S PATENT LITIGATION

• Department: Law
• Instructor: Timothy Demasi
  Info
• 2 points

THEATRE PRACTICUM II

IMPULSE/STIMULUS/SPECIFICITY

TBD

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

Beyond the Objectivity Wars

From the time American journalists began to proclaim “objectivity” as their guiding value, skeptics and critics have attacked it as a pledge and a boast impossible to achieve and thereby plainly misguided. In this course, we will examine the concept of objectivity in journalism, its origins, and the views of its critics. Moreover, the course will examine the variety of alternative values that journalists also take seriously and work to uphold. Apply: https://fs8.formsite.com/cjdos/CR/

• Department: Journalism
• W 10 a.m.-noon
• Instructor: Michael Schudson
  Wikipedia h-index: 65 Info
• 3 points

THEATRE PRACTICUM III

SELF TO PERFORMANCE

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

THEATRE PRACTICUM III

EARLY CAREER PREP

• Department: Theatre Arts
• T 10 a.m.-1 p.m.
• 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.
• Instructor: Ryan Murphy
  Info
• 3 points

C JURISPRUDENCE OF WAR

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

• Department: Law
• Instructor: George P Fletcher
  Wikipedia Info
• 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

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

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

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

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

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

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

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

M.A. ESSAY DIRECTION

• Department: French
• Instructor: Eliza Zingesser
  CULPA: 10 h-index: 3 Info
• 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: 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.
• Instructor: Prakash Gorroochurn
  Info
• 3 points

Healthcare Management, Design, and Strat

Healthcare Mgmt Design &

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

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

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

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

Academic Careers Workshop

This course is open to all graduate students in English and Comparative Literature in year 5 and beyond. The course, which students may take for R-credit, has several aims. It will help you: sharpen the focus of your dissertation and clarify the nature of its contribution; expand your scholarly profile, illuminating the breadth of what you have to offer academic life; and launch activities that can make your potential contributions visible and legible. We will look closely at the kinds of materials you will circulate on the job market: cover letters, 
CVs
, teaching statements, research statements, portfolios showing “evidence of teaching effectiveness,” and more. We will workshop these in the seminar, while also practicing the oral forms you will encounter in the job market: interviews, presentations, job talks. At the same time, one of the central aims of the seminar is to help you develop your sense of who you are as a scholar, teacher, and member of the profession more broadly, expand the universe of professional possibilities, and highlight the richness of your potential contributions.
        Preparing yourself for the academic job market can be emotionally wrenching, but it can also be exciting. The seminar will serve not only as a workshop but as a supportive community of scholars, teachers, readers, and writers helping one another envision the work they might do and, at the same time, remember why it matters.

• Department: English and Comparative Literature
• R 2:40 p.m.-4:30 p.m.
• Instructor: Julie S Peters
  CULPA: 5 Info
• 4 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

Agentic AI & Data Economy

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.
• Instructor: Agostino Capponi
  h-index: 19 Info
• 3 points

ADVANCED TOPICS IN IEOR

Algo Predictions

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

• Department: Industrial Engineering and Operations Research
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Eric Balkanski
  h-index: 13 Info
• 3 points

ADVANCED TOPICS IN IEOR

Algorithmic GameTheory OR

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

• Department: Industrial Engineering and Operations Research
• MW 10:10 a.m.-11:25 a.m.
• 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

Queues & Stoch Netwks

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

ADVANCED TOPICS IN IEOR

Agentic AI & Data Economy

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

• Department: Video Network
• Instructor: Agostino Capponi
  h-index: 19 Info
• 3 points

ADVANCED APPLICATION OF THEORY TO PRACT

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

Gross Anatomy

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

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

• Department: Physical Therapy
• 7 points

VISUAL ART LAB

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

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2 points

Ex. In-House Counsel

• Department: Law
• 2 points

Patient Oriented Research Career Develop

POR CAREER DEVELOPMENT CO

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

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

Business Analytics II: Foundations of AI

Business Analytics II: AI

Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. Modern data collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable data like text and images – are leading an explosive growth in the volume of data available for decision making. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. Many startups are based on the application of AI & analytics to large databases. With the increasing availability of broad and deep sources of information – so-called “Big Data” – business analytics are becoming an even more critical capability for enterprises of all types and all sizes. AI is beginning to impact every dimension of business and society. In many industries, you will need to be literate in AI to be a successful business leader. The Business Analytics sequence is designed to prepare you to play an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodology, studying its foundations, potential applications, and – perhaps most importantly – limitations.

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

NEUROSCIENCE AND COGNITION

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

Probability

PROBABILITY

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

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

Service Operations Management

This course examines both traditional and new approaches for achieving operational competitiveness in service businesses. Major service sectors such as health care, repair / technical support services, banking and financial services, transportation, restaurants, hotels and resorts are examined. The course addresses strategic analysis and operational decision making, with emphasis on the latter. Its content also reflects results of a joint research project with the consulting firm Booz Allen Hamilton, which was initiated in 1996 to investigate next-generation service operations strategy and practices. Topics include the service concept and operations strategy, the design of effective service delivery systems, productivity and quality management, response time (queueing) analysis, capacity planning, yield management and the impact of information technology. This seminar is intended for students interested in consulting, entrepreneurship, venture capital or general management careers that will involve significant analysis of a service firms operations.

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

Capstone One Portfolio

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

Survival Analysis

SURVIVAL ANALYSIS

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

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

SUPPLY CHAIN ANALYTICS

Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.

• Department: Decision, Risk and Operations
• TR 4:10 p.m.-5:40 p.m.
• Instructor: Will Ma
  Info
• 3 points

Supply Chain Management

Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.

• Department: Decision, Risk and Operations
• TR 9 a.m.-10:30 a.m.
• TR 2:20 p.m.-3:50 p.m.
• Instructor: Will Ma
  Info
• 1.5 points

Applied Regression II

APPLIED REGRESSION II

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

• Department: Biostatistics
• R 1 p.m.-3:50 p.m.
• Instructor: Qixuan Chen
  h-index: 27 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
• 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.
• M 10 a.m.-1 p.m.
• Instructor: David Klass
  Info
• Instructor: Blair Singer
  Info
• Instructor: Carter Bays
  Info
• Instructor: Ed Decter
  Info
• Instructor: Alice O'Neill
  Info
• 3 points

SCENE STUDY

SCENE STUDY: DIRECTORS

• Department: Theatre Arts
• F 10 a.m.-12:50 p.m.
• Instructor: Saheem Ali
  Info
• 3 points

INTRO PARENT-INFANT PSYCHOTHERAPY

INTRO PARENT-INFANT THERA

• Department: Psychoanalytic Center
• Instructor: Madrid Poultney
  Info
• 0 points

Pharmacology for Anesthesia and Critical

PHARM FOR ANES & CRITICAL

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

• Department: Nursing
• 4 points