HIST 6998 GR is a twin listings of an undergraduate History lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
First part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
Second part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.
Learn how to use the most common Python packages for data science. Become
confident in managing your own data and building data pipelines.
Required course for first-year PhD Students in the Art History Department.
Directed reading
Independent Study with Faculty Advisor must be registered for every semester after first academic year
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.
Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.
Prerequisite: instructors permission. Participation in medical informatics educational activities under the direction of a faculty adviser.
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.
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.
The goal of this course is to familiarize students with two ‘Trojan’ plays by Sophocles, his
Ajax
and
Philoctetes
, and to situate both within the very volatile period of Athenian political and cultural history to which they belonged. We will be exploring the dramas from a variety of angles, philological, cultural, political, ethical, rhetorical, and religious among them while considering the rich literary, mythological, and visual traditions from which both emerge (comparative primary readings will include portions of Homer, Hesiod, Pindar, Euripides, Sophocles’
Ichneutai
, and Thucydides). In addition to close readings of both texts, students will become acquainted with the relevant epic and lyric accounts on which the dramatists draw and will also consider the rich iconography surrounding the central protagonists. Beyond highlighting important commonalities and differences between these two plays, one considered ‘early’, the other ‘late’, the class will also discuss issues of staging, dramaturgy, dance and song, and we will pay particular attention to the different modalities of voice and of chorality (informed by its lyric background) within each text. While the focus will always be on the primary texts, through the assigned secondary reading students will also be introduced to a variety of different critical approaches and methodologies: among them we will be using ideas drawn from the ‘new materialism’, anthropology, the current fields of ‘sound studies’ and animal vocalism, genre-mixing, and dance theory. The innovative nature of Sophoclean music will also be highlighted, and students will be encouraged to explore the two plays’ reception and changing fortunes in a variety of media down to the present day.
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.
Full time research for doctoral students.
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.
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.
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.
A synoptic overview of theory and research.
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.
Prerequisites: PHYS G6037-G6038. Relativistic quantum mechanics and quantum field theory.
TBD
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
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).
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.
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
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.
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.
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.
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.
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.
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.
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.
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.