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:
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:
David D Yao
CULPA: 5
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Instructor:
Yi Zhang
CULPA: 2 Info -
Instructor:
Xunyu Zhou
h-index: 54 Info -
Instructor:
Winsor Yang
Info - 1-6 points
CLIN PRACTICE IMPLANT DENTISTRY II
CLIN PRACT IMPL DNTRTY II
- Department: Dental and Oral Surgery
- 0 points
RSRCH-LATE MDVL & RENSSNCE LIT
- Department: Italian
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Instructor:
Jo Ann Cavallo
CULPA: 13 Info - 3 points
SIGMUND FREUD-THINKNG/THEORZNG
- Department: Psychoanalytic Center
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Instructor:
W. C Tomlinson
Info - 0 points
RESEARCH IN ARCHAEOLOGY
RESEARCH IN PREHISTORIC ARCH
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:
Marco Castro
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Instructor:
Zoe Crossland
CULPA: 9 h-index: 17 Info -
Instructor:
Terence N D'Altroy
CULPA: 37 Info -
Instructor:
Severin Fowles
CULPA: 24
Info
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Instructor:
Hannah Chazin
Info - 3-9 points
RESEARCH-MODERN & CONTEMP LIT
Guided reading and research on a topic or in a field chosen by the student in consultation with a member of the faculty.
- Department: Italian
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Instructor:
Elizabeth Leake
Info - 3 points
CHILD & ADOLESCENT DEVELOPMENT
- Department: Psychoanalytic Center
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Instructor:
Pamela Meersand
Info - 0 points
Probability for Biostatisticians
Probability: Biostatistic
The biostatistical field is changing with new directions emerging constantly. Doing research in these new directions, which often involve large data and complex designs, requires advanced probability and statistics tools. The purpose of this new course is to collect these important probability methods and present them in a way that is friendly to a biostatistics audience. This course is designed for PhD students in Biostatistics. Its primary objective is to help the students achieve a solid understanding of these probability methods and develop strong analytical skills that are necessary for conducting methodological research in modern biostatistics. At the completion of this course, the students will a) have a working knowledge in Law of Large Numbers, Central Limit Theorems, martingale theory, Brownian motions, weak convergence, empirical process, and Markov chain theory; b) be able to understand the biostatistical literature that involves such methods; c) be able to do proofs that call for such knowledge.
- Department: Biostatistics
- F 1 p.m.-3:50 p.m.
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Instructor:
Bin Cheng
h-index: 32 Info - 3 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:
Naor H Ben-Yehoyada
CULPA: 5 Info -
Instructor:
John Pemberton
CULPA: 15
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Instructor:
Zoe Crossland
CULPA: 9 h-index: 17 Info -
Instructor:
Brian Boyd
CULPA: 6
Info
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Instructor:
Hannah Chazin
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Instructor:
Dilshanie Perera
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Instructor:
Terence N D'Altroy
CULPA: 37 Info -
Instructor:
Marilyn Ivy
CULPA: 11
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Info
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Instructor:
Lila Abu-Lughod
CULPA: 17 Wikipedia h-index: 48 Info -
Instructor:
Claudio Lomnitz
CULPA: 3 Wikipedia Info -
Instructor:
Brinkley Messick
CULPA: 19 Info -
Instructor:
Elizabeth Povinelli
CULPA: 14
Wikipedia
Info
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Instructor:
Ellen Marakowitz
CULPA: 1 Info - 3-9 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
- 3-9 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:
Lila Abu-Lughod
CULPA: 17 Wikipedia h-index: 48 Info -
Instructor:
Paige West
CULPA: 41
h-index: 23
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Instructor:
Lesley Sharp
CULPA: 22 Info -
Instructor:
Marco Castro
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Instructor:
Brian Larkin
CULPA: 16 Info -
Instructor:
Kaya N Williams
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Instructor:
Sheng Long
Info - 3-9 points
(PhD) Advanced Marketing Analytics
(PhD) Applied Multivariat
Multivariate statistical techniques are important tools of analysis in all fields of management. This course is designed to provide students with a working knowledge of the basic concepts underlying the most important multivariate techniques, an overview of actual applications in various fields and experience in actually using such techniques on a problem of their own choosing. The course addresses both the underlying mathematics and problems of applications. As such, a reasonable level of competence in both statistics and mathematics is needed to take this course.
- Department: Decision, Risk and Operations
- TR 6 p.m.-7:30 p.m.
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Instructor:
Kamel Jedidi
Info - 3 points
Theory of Statistical Inference I
THEORY OF STAT INFERENCE
This course offers a general introduction to essential materials in advanced statistical theory for doctoral students in biostatistics. The course is designed to prepare doctoral students in biostatistics for their written theory qualifying exam. Students in this course will learn theory of estimation, confidence sets and hypothesis testing. Specific topics include a quick review of measure-theoretic probability theory, concepts of sufficiency and completeness, unbiased estimation (UMVUE), least squares principle, likelihood estimation, a variety of estimators and their asymptotic properties, confidence sets, the Neyman-Pearson lemma and uniformly most powerful tests. If time permits, the likelihood ratio test, score test and Wald test, and sequential analysis will be covered.
- Department: Biostatistics
- TR 1 p.m.-2:20 p.m.
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Instructor:
Caleb Miles
h-index: 5 Info - 3 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
WORKSHOP IN SCRIPT REVISION
- Department: Film
- F 10 a.m.-1 p.m.
- M 6 p.m.-9 p.m.
- R 6 p.m.-9 p.m.
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Instructor:
David B Schwab
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Instructor:
Jessie Keyt
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Instructor:
Galt V Niederhoffer
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
Asymptotic Statistics
ASYMPTOTIC STATISTICS
This course will provide a comprehensive introduction to the field of asymptotic statistics. The treatment will be both practical and mathematically rigorous. The course will consist of two parts. The first will be a review of most of the standard topics of limit theory, such as the delta method and central limit theorems, while avoiding many technicalities. The second will present advanced topics such as semiparametric models, counting processes, empirical likelihood, the bootstrap, and empirical processes. These powerful research techniques are becoming increasingly important for the development of biostatistical methods to handle complex data sets. The overall goal of the course is to train students in the use of advanced asymptotic techniques for medical and public health applications. This course is intended for second-year Biostatistics Ph.D. students to provide a review of asymptotic statistics for the Ph.D. qualifying exam, and give them exposure to a variety of advanced topics.
- Department: Biostatistics
- T 1 p.m.-3:50 p.m.
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Instructor:
Ian McKeague
h-index: 43 Info - 3 points
(PhD) Foundations of Optimizat
The course is designed for entering doctoral students and provides a rigorous introduction to the fundamental theory of optimization. It examines optimization theory in continuous, deterministic settings, including optimization in Euclidean as well as in more general, infinite-dimensional vector spaces. The course emphasizes unifying themes (such as optimality conditions, Lagrange multipliers, convexity, duality) that are common to all of these areas of mathematical optimization. Applications across a range of problem areas serve to illustrate and motivate the theory that is developed. Additionally, review sessions explaining how to solve complex optimization problems using CVX and Python are offered.
- Department: Decision, Risk and Operations
- R 2:20 p.m.-5:35 p.m.
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Instructor:
Santiago R Balseiro
Info - 3 points
Topics in Statistical Learning and Data
TPCS-STAT LEARN/DATA MINI
The aim of this course is to provide students a systematic training in key topics in modern supervised statistical learning and data mining. For the most part, the focus will remain on a theoretically sound understanding of the methods (learning algorithms) and their applications in complex data analysis, rather than proving technical theorems. Applications of the statistical learning and data mining tools in biomedical and health sciences will be highlighted.
- Department: Biostatistics
- R 1 p.m.-3:50 p.m.
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Instructor:
Min Qian
h-index: 19 Info - 3 points
(PhD) Dynamic Programming
This course offers an advanced introduction Markov Decision Processes (MDPs)-a formalization of the problem of optimal sequential decision making under uncertainty-and Reinforcement Learning (RL)-a paradigm for learning from data to make near optimal sequential decisions. The first part of the course will cover foundational material on MDPs. We'll then look at the problem of estimating long run value from data, including popular RL algorithms like temporal difference learning and Q-learning. The final part of the course looks at the design and analysis of efficient exploration algorithms, i.e. those that intelligently probe the environment to collect data that improves decision quality. This a doctoral level course. Students should have experience with mathematical proofs, coding for numerical computation, and the basics of statistics, optimization, and stochastic processes.
- Department: Decision, Risk and Operations
- R 9 a.m.-12:15 p.m.
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Instructor:
Daniel J Russo
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
- W 9:30 a.m.-12:30 p.m.
- R 10 a.m.-1 p.m.
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Instructor:
Courtney M Baron
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Instructor:
Matthew R Fennell
Info - 0 points
COMPUTING FOR BUSINESS RESRCH
- Department: Decision, Risk and Operations
- W 2:20 p.m.-5:35 p.m.
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Instructor:
Kriste Krstovski
h-index: 9 Info - 3 points
EVALUATN OF PATIENTS-ANALYSIS
- Department: Psychoanalytic Center
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Instructor:
Barry L Stern
Info - 0 points
Advanced Biostatistical Method I
Adv. Biostatistical Metho
This is an advanced course for first-year Ph.D. students in Biostatistics. The aim is to provide a solid foundation of the theory behind linear models and generalized linear models. More emphasis will be placed on concepts and theory with mathematical rigor. Topics covered including linear regression models, logistic regression models, generalized linear regression models and methods for the analysis contingency tables.
- Department: Biostatistics
- M 8:30 a.m.-11:20 a.m.
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Instructor:
Zhezhen Jin
h-index: 51 Info - 3 points
Fundamentals of Case Narrative Writing f
Fund Case Narrat Writing
This course is designed to increase student knowledge of Psychiatric Nurse Practitioner Case Narrative writing, and DNP competencies. Students will use case narratives as a framework to synthesize knowledge, assessment, and clinical thinking skills. Students will explore Social Justice competency, Competency D3C3 in depth. Students will develop a treatment intervention that identify and challenge biases that contribute to health disparities.
- Department: Nursing
- M 11 a.m.-12:50 p.m.
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Instructor:
Latisha M Hanson
Info - 3 points
APPLIED PHYSICS SEMINAR
PLASMA DIAGNOSTICS
May be repeated for credit. Selected topics in applied physics. Topics and instructors change from year to year.
- Department: Applied Physics and Applied Mathematics
- TR 2:30 p.m.-4 p.m.
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Instructor:
Carlos Paz Soldan
h-index: 28 Info - 3 points
EPIDEMIOLOGY & SURVEILLANCE
- Department: Dental and Oral Surgery
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Instructor:
Kavita Ahluwalia
h-index: 10 Info - 0 points
Portfolio Film Workshop
This fourteen-week elective, open to Research Arts Screen & TV Writing students, will provide vital directing advisement to Portfolio films. It covers pre-production and director’s prep.
- Department: Film
- R 10 a.m.-1 p.m.
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Instructor:
Bogdan G Apetri
Info - 0 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
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Instructor:
Jing Dong
h-index: 11 Info - 0.5 points
Scholarly Writing and Dissemination II
SCHOLARLY WRITING II
Continuation of N9150.
- Department: Nursing
- M 4 p.m.-4:50 p.m.
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Instructor:
Adena Bargad
Info - 1 points
Master's Essay in Biostatistics: Patient
MASTER'S ESSAY-PATIENT OR
This seminar-style course will lead students through the process of writing a Master's Essay in the form of an NIH-style grant application (required for the MS/POR degree track). The essay is undertaken during the fall semester of the second year of study. At the end of the fall term, each student submits a written research proposal following NIH guidelines for either an R01 or K (career development) award. The emphasis in this course is on the quality of the proposed research. The following February, students make an oral presentation to the POR Advisory Board, summarizing the research proposal. Final grades are awarded after the presentations in February.
- Department: Biostatistics
- W 8:30 a.m.-11:20 a.m.
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Instructor:
Qixuan Chen
h-index: 27 Info - 0 points
S TRANSITIONAL JUSTICE
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
- R 6:20 p.m.-8:10 p.m.
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Instructor:
Graeme Simpson
Info - 2 points
SEM-REPRODUCTIVE RIGHTS
- Department: Law
- W 1:20 p.m.-3:10 p.m.
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Instructor:
Katherine Franke
Wikipedia Info - 2 points
S TRIAL PRACTICE
- Department: Law
- W 6:20 p.m.-9:10 p.m.
- M 4:20 p.m.-6:10 p.m.
- T 6:20 p.m.-9:10 p.m.
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Instructor:
Gail Heatherly
Info -
Instructor:
Paul B Radvany
Info - 3 points
Statistical Practices and Research for I
Stat Prac & Res for Int S
In this course, students will apply the concepts and methods introduced in Statistical Practices and Research for Interdisciplinary Science (SPRIS) I to a real research setting. Each student will be paired with a Biostatistics faculty member. The student will participate in one of the mentor’s collaborative projects to learn how to be an effective member of an interdisciplinary team. The relationship will mimic that between a medical resident and an attending physician.
The SPRIS II experience will vary depending on the assigned faculty member, but all students will gain exposure to preparing collaborative grant applications, designing research studies, analyzing real data, interpreting and presenting results, and writing manuscripts. Mentors will help to develop the student’s data intuition skills, ability to ask good research questions, and leadership qualities. Where necessary, students may replicate projects already completed by the faculty mentor to gain experience.
- Department: Biostatistics
- M 2 p.m.-3:30 p.m.
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Instructor:
Christine M Mauro
Info - 1.5 points
Tutorial in Biostatistics
TUTORIALS IN BIOSTATISTIC
For appropriately qualified students wishing to enrich their programs by undertaking literature reviews, special studies, or small group instruction in topics not covered in formal courses.
PRERESEARCH SEMINARS I
You may be asked to serve as research subjects in studies under direction of the faculty while enrolled in this course. Participation in voluntary.
- Department: Chemistry
- F 9:30 a.m.-11 a.m.
- 1 points
SEMINARS IN CMBS I
- Department: Cellular, Molecular, and Biophysical Studies
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Instructor:
Ronald Liem
Info - 1 points
Continuing Terminal Clinical Education E
CONT TERMINAL CLINICAL EX
- Department: Physical Therapy
- 0 points
PSYCHOPATHOLOGY I
- Department: Psychoanalytic Center
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Instructor:
Peter M Bookstein
Info - 0 points
SEM-THEORETICAL STATISTIC
Departmental colloquium in statistics.
- Department: Statistics
- M 4:10 p.m.-5:25 p.m.
- 3 points
ANATOMY & TECHNIC-ENDODONTICS
- Department: Dental and Oral Surgery
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Instructor:
Sahng Gyoon Kim
h-index: 21 Info - 0 points
DOCTORAL SEMINAR IN NUTRITION
Presentation of doctoral student research and guest speakers.
- Department: Human Nutrition, Institute of
- F noon-1 p.m.
- 0.5 points
(PhD) Economic Analysis
- Department: Business Economics
- W 9 a.m.-12:15 p.m.
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Instructor:
Nikhil Vellodi
Info - 1.5 points
CLINICAL PRACTICE-ENDODONTICS
- Department: Dental and Oral Surgery
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Instructor:
Sahng Gyoon Kim
h-index: 21 Info - 0 points
(PHD)ECONOMIC ANALYSIS II
- Department: Business Economics
- W 9 a.m.-12:15 p.m.
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Instructor:
Nikhil Vellodi
Info - 1.5 points
CRITICAL THINKING II
- Department: Psychoanalytic Center
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Instructor:
Ellen Rees
Info - 0 points
REVIEW OF ENDODONTC LITERATURE
- Department: Dental and Oral Surgery
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Instructor:
Sahng Gyoon Kim
h-index: 21 Info - 0 points
DIRECTING THESIS ADVISEMENT
This course will serve to provide an opportunity for Students who are Directing Concentrates to develop their thesis projects within a structured environment. The course may be taught in every week or alternating week formats. Students will be encouraged to submit ideas, treatments, scripts, rough cuts and fine cuts of their thesis films. The class is collaborative and serves as a base from which Directors can try out concepts and ideas, and receive input from fellow students as well as their thesis advisor.
- Department: Film
- W 9:30 a.m.-12:30 p.m.
- R 6 p.m.-9 p.m.
- T 2 p.m.-5 p.m.
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Instructor:
Ramin Bahrani
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Instructor:
Hilary Brougher
Wikipedia Info -
Instructor:
Bette Gordon
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Instructor:
Tom Kalin
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Instructor:
Eric Mendelsohn
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Instructor:
Bogdan G Apetri
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Instructor:
Anocha Suwichakornpong
Wikipedia Info - 0 points