RESEARCH
Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit.
- Department: Industrial Engineering and Operations Research
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Instructor:
Cedric Josz
CULPA: 2 h-index: 13 Info -
Instructor:
Soulaymane Kachani
CULPA: 12 Info -
Instructor:
Yaren Kaya
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Instructor:
Christian Kroer
h-index: 16 Info -
Instructor:
Daniel Lacker
CULPA: 4
h-index: 13
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Instructor:
Henry Lam
h-index: 17 Info -
Instructor:
Fabrizio Lecci
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Instructor:
Tianyi Lin
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Instructor:
Uday Menon
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Instructor:
Bento Natura
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Instructor:
Jay Sethuraman
CULPA: 10 Info -
Instructor:
Karl Sigman
CULPA: 15
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Instructor:
Eric Stratman
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Instructor:
Clifford Stein
CULPA: 31 Wikipedia h-index: 53 Info -
Instructor:
Wenpin Tang
h-index: 6 Info -
Instructor:
Kaizheng Wang
CULPA: 1 h-index: 8 Info -
Instructor:
Lily Xu
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Instructor:
David D Yao
CULPA: 5
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Instructor:
Yi Zhang
CULPA: 2 Info -
Instructor:
Xunyu Zhou
h-index: 54 Info -
Instructor:
Christine Chan
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Instructor:
Winsor Yang
Info - 1-6 points
RESEARCH IN ARCHAEOLOGY
RESEARCH-PREHISTORIC ARCHAEOL
Prerequisites: the instructors permission. Individual research and tutorial in archaeology for advanced graduate students.
- Department: Anthropology
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Instructor:
Brian Boyd
CULPA: 6
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Instructor:
Zoe Crossland
CULPA: 9 h-index: 17 Info -
Instructor:
Severin Fowles
CULPA: 24
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Instructor:
Hannah Chazin
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Instructor:
Laurel Kendall
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Instructor:
Camilla Sturm
CULPA: 2 Info -
Instructor:
Cine Ostrow
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Instructor:
Terence N D'Altroy
CULPA: 37 Info - 3-9 points
RSRCH-MEDIEVAL & RENSSNCE LIT
Guided reading and research on a topic or in a field chosen by the student in consultation with a member of the faculty. Required for Ph.D candidates, ideally during the semester when they prepare the dissertation proposal (prospectus) under the supervision of a potential sponsor.
- Department: Italian
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Instructor:
Teodolinda Barolini
CULPA: 7
Wikipedia
Info
- 3 points
SIGMUND FREUD-THINKNG/THEORIZING
FREUD THOU BEGIN EGO PSYCHOLGY
- Department: Psychoanalytic Center
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Instructor:
W. C Tomlinson
Info - 0 points
RESEARCH-MODERN & CONTEMP LIT
- Department: Italian
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Instructor:
Elizabeth Leake
Info - 3 points
CHILD & ADOLESCENT DEVELOPMENT
CHILD DEV-INTERDISCIPLNRY PERS
- Department: Psychoanalytic Center
- 0 points
RESEARCH IN SPECIAL FIELDS
Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students
- Department: Anthropology
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Instructor:
Hannah Chazin
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Instructor:
Lila Abu-Lughod
CULPA: 17 Wikipedia h-index: 48 Info -
Instructor:
Vanessa L Agard-Jones
CULPA: 3 Info -
Instructor:
Naor H Ben-Yehoyada
CULPA: 5 Info -
Instructor:
Maria Jose de Abreu
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Instructor:
Madisson Whitman
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Instructor:
Severin Fowles
CULPA: 24
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Instructor:
Elizabeth M Green
CULPA: 2 Info -
Instructor:
Marilyn Ivy
CULPA: 11
Wikipedia
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Instructor:
David Scott
CULPA: 6
h-index: 72
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Instructor:
Gina A Jae
CULPA: 1 Info -
Instructor:
Nicholas Glastonbury
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Instructor:
Rosalind Morris
CULPA: 20 Wikipedia Info -
Instructor:
John Pemberton
CULPA: 15
Wikipedia
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Instructor:
Elizabeth Povinelli
CULPA: 14
Wikipedia
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Instructor:
Kaya N Williams
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Instructor:
Paige West
CULPA: 41
h-index: 23
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Instructor:
Lashaya Howie
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Instructor:
Camilla Sturm
CULPA: 2 Info -
Instructor:
Brian Boyd
CULPA: 6
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Instructor:
Zoe Crossland
CULPA: 9 h-index: 17 Info - 3-9 points
MUSEUM ANTHROPOL INTERNSHIP I
An internship arranged through the Museum Anthropology program of 10 hrs/week (for 3 credits) or 20 hrs/week (for 6). Involves meaningful work, requires keeping a journal and writing a paper at the completion of the semester. Not to be taken without permission of the program directors, usually after completing the Museum Anthropology core courses.
- Department: Anthropology
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Instructor:
Brian Boyd
CULPA: 6
Info
- 3-9 points
Theory of Statistical Inference II
THEORY OF STAT INFERENCE
This course provides a general introduction to mathematical statistics and statistical decision theory for doctoral students in biostatistics. It covers elementary decision theory, Bayes rules, Neyman-Pearson theory, uniformly most power tests, similar tests, uniformly most powerful unbiased tests, confidence sets; basic asymptotic criteria, estimation methods and their asymptotic properties, M-estimators, U-statistics, statistical functionals; likelihood ratio tests, Wald tests, Rao's score tests, and their asymptotic properties, Pitman efficiency. This course will prepare students to their theory qualifying exam.
- Department: Biostatistics
- W 1 p.m.-3:50 p.m.
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Instructor:
Bin Cheng
h-index: 32 Info - 3 points
WORKSHOP IN SCRIPT REVISION
- Department: Film
- M 10 a.m.-1 p.m.
- M 6 p.m.-9 p.m.
- F 10 a.m.-1 p.m.
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Instructor:
Ed Decter
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Instructor:
Keith Bunin
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Instructor:
David B Schwab
Info - 0 points
MUSEUM ANTHROPOL INTERNSHIP II
An internship arranged through the Museum Anthropology program of 10 hrs/week (for 3 credits) or 20 hrs/week (for 6). Involves meaningful work, requires keeping a journal and writing a paper at the completion of the semester. Not to be taken without permission of the program directors, usually after completing the Museum Anthropology core courses.
- Department: Anthropology
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Instructor:
Brian Boyd
CULPA: 6
Info
- 3-9 points
(PhD) Foundations of Stochasti
This course covers basic concepts and methods in applied probability and stochastic modeling. The intended audience is master's and doctoral students in programs such as EE, CS, IEOR, Statistics, Mathematics, and those in the DRO division in the Business School. In terms of prerequisites, basic familiarity with probability theory and stochastic processes will be assumed (an ideal preliminary course is IEOR 6711: Stochastic Modeling I, but a more basic substitute will do as well). The topics and material covered in this course complement those covered in IEOR 6712: Stochastic Modeling II, hence the two courses can be taken simultaneously. The exposition will be (mostly) rigorous, yet intentionally skirting some measure-theoretic details; for those interested in such details they can be found in measure theoretic textbooks and other courses (e.g., Probability Theory I/II given in the statistics/math department).
- Department: Decision, Risk and Operations
- W 9 a.m.-12:15 p.m.
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Instructor:
Assaf Zeevi
h-index: 40 Info - 3 points
TV REVISION
FILM AF 9120 TV Revision
The goal of TV Revision is to bring in a completed pilot and then completely revise it in one semester. Students will initially present their full scripts for feedback in class discussion, then map a plan for rewriting with their instructor. Deadlines throughout the semester will focus on delivery of revised pages.
The work can range from an intensive page 1 rewrite to focus on selected areas in a script. Reading of all scripts in the workshop and participation in class discussion is required.
There is an application process to select students for the class.
- Department: Film
- M 2 p.m.-5 p.m.
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Instructor:
Benjamin Robbins
Info - 0 points
(DRO) Topics Seminar
The purpose of the course is to broadly cover topics in Operations Management and Operations Research, as well as areas of interest to the Decision, Risk, and Operations division at CBS. It will consist of 3-hour sessions, each on a different topic, with the intent to introduce you to the topic, pique your interest, expose you to the methodologies and research areas people are working on, and help you think about what types of courses to take in the future in order to prepare yourself for this course. We will ask students to submit a one-page summary of each session or a particular paper discussed in the session. PhD students are invited to take the course and/or select certain sessions to attend. Spring 2022 Faculty instructors (each teaching one session) will be Mark Broadie, Paul Glasserman, Fanyin Zheng, Jing Dong, Will Ma, Hongyao Ma.
- Department: Decision, Risk and Operations
- T 2:20 p.m.-5:35 p.m.
- 1.5 points
DROM Preseminar Discussion
Students get together to discuss the paper which will be presented at the IEOR-DRO seminar. One group of students (~2 students) presents. A faculty member is present to guide and facilitate the discussion. Students are evaluated on their effort in leading one of the discussions and participating in the other discussions
- Department: Decision, Risk and Operations
- T 9 a.m.-12:15 p.m.
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Instructor:
Hongseok Namkoong
h-index: 11 Info - 0.5 points
Scholarly Writing I
This online, self-directed course is the first of two designed to introduce students to scholarly writing and dissemination for clinicians. The course provides students with practical information, exercises, and resources for successful clinical manuscript preparation and clinical conference poster and oral presentation. The course introduces students to fundamental skills for scholarly writing including strategies for identifying topics and constructing clinical questions and understanding how different kinds of clinical questions are best answered by different approaches to scholarly writing. Students learn to differentiate among quality improvement projects, research projects, types of literature reviews, case studies and clinical practice manuscripts. Students utilize electronic resources for literature searches and citation management and develop familiarity with professional journals and conferences in their specialty areas. This course content allows for the synthesis and application of the skills and resources developed over the semester and will serve as the basis for a draft of a scholarly product (manuscript, poster, podium presentation) prepared in Scholarly Writing II. As a result, students are prepared for a lifelong approach to integrating scholarship into clinical practice.
- Department: Nursing
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Instructor:
Adena Bargad
Info - 1 points
Master's Essay in Biostatistics: Clinica
MASTER'S ESSAY I - CLIN R
This course serves as the cumulative experience for those in the Clinical Research Methods (CRM) Track in the Department of Biostatistics. By the end of the semester, students are expected to produce a submission ready manuscript to a journal appropriate to their field of study.
- Department: Biostatistics
- T 2:30 p.m.-3:50 p.m.
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Instructor:
Todd Ogden
Info - 3 points
SEM-LABOR RIGHTS IN GLOBL ECON
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
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Instructor:
Mark Barenberg
Info - 3 points
Statistical Practices and Research for I
STAT COLLABORATION FOR IN
The Statistical Practices and Research for Interdisciplinary Sciences (SPRIS, P9185) is a required course for the PhD and DrPH students in the Department of Biostatistics. The goal is to prepare doctoral students to be effective statisticians to collaborate in an interdisciplinary team and to identify novel statistical research problems with important public health and medical applications. The course aims to provide guidelines and insights of the arts and sciences of consulting, collaboration, and translation of statistical methods to medical studies. Practically useful technical skills acquired from previous coursework will be enhanced and illustrated through applications to real world problems in class projects. Important statistical issues currently undergoing extensive debate will be introduced. Examples of conducting original statistical research to develop new methods addressing real world challenges will be discussed. Career-development related topics will be covered to prepare students to become effective independent and interdisciplinary researchers. Class projects will showcase examples of how to analyze real world data.
- Department: Biostatistics
- R 1 p.m.-3:50 p.m.
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Instructor:
Yuanjia Wang
CULPA: 4 Info - 3 points
Master's Thesis in BME
This is a Pass/Fail zero credit course, “BME Master's Thesis” for MS students who are in the process of doing a thesis (BMEN E9100). It would be registered for before/during the final semester, the semester when the student will be defending the thesis. It must be approved by the faculty mentor.
- Department: Biomedical Engineering
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Instructor:
Treena L Arinzeh
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Instructor:
Elham Azizi
h-index: 10 Info -
Instructor:
Ke Cheng
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Instructor:
Santiago Correa
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Instructor:
Tal Danino
Wikipedia h-index: 18 Info -
Instructor:
X. Edward Guo
CULPA: 2 h-index: 70 Info -
Instructor:
Henry Hess
CULPA: 1 h-index: 45 Info -
Instructor:
Clark T Hung
CULPA: 5 h-index: 65 Info -
Instructor:
Lance Kam
CULPA: 7
h-index: 38
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Instructor:
Elisa Konofagou
Wikipedia h-index: 71 Info -
Instructor:
Andrew Laine
Wikipedia h-index: 43 Info -
Instructor:
Kam W Leong
h-index: 126 Info -
Instructor:
Helen Lu
CULPA: 1 h-index: 54 Info -
Instructor:
Jose McFaline-Figueroa
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Instructor:
Grace McIlvain
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Instructor:
Barclay Morrison
CULPA: 9 h-index: 42 Info -
Instructor:
Nandan L Nerurkar
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Instructor:
Elizabeth Olson
h-index: 28 Info -
Instructor:
Nuttida Rungratsameetaweemana
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Instructor:
Paul Sajda
CULPA: 3 h-index: 47 Info -
Instructor:
Samuel Sia
CULPA: 1 h-index: 39 Info -
Instructor:
John T Vaughan
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Instructor:
Gordana Vunjak-Novakovic
Wikipedia h-index: 132 Info -
Instructor:
Qi Wang
h-index: 24 Info -
Instructor:
Megan Heenan
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Instructor:
Parisa Yousefpour
Info - 0 points