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.
Prerequisites: the instructors permission. Individual research and tutorial in archaeology for advanced graduate students.
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.
Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students
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.
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.
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.
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).
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.
Analytics and e-commerce have drastically increased the sophistication both in how goods are sold to customers, and how these goods are fulfilled. Examples of the former include dynamic pricing, recommending product assortments, and personalized coupons, and are studied in the area of Revenue Management; examples of the latter include flexible products and dynamic warehouse selection, and are studied in the area of Supply Chain Management. This research-oriented course will review recent developments in both of these areas and discuss open directions; there will also be a slant toward learning how to apply the techniques of linear and integer programming, analysis of online algorithms, and mechanism design. This course is meant for Ph.D. students in operations research, industrial engineering, computer science, or related departments who are familiar with optimization and probability at the introductory graduate level.
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.
May be repeated for credit. Selected topics in applied physics. Topics and instructors change from year to year.
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
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.
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.
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
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.
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.
This is the third and final full-time clinical education experience.
Students in good academic standing who have satisfactorily completed all prerequisite professional courses for a total of 18 weeks of full-time clinical education. Students may be placed in 1 or 2 different clinical practice areas depending on interests related to projected practice post-graduation. This final clinical education experience provides students with an opportunity to further develop skills used in Clinical Education I and II as well as practice new skills in conjunction with the advanced seminar course and electives taken in preparation for entry- level practice. Students are required to give an in-service or project presentation in partial fulfillment of the requirements of this experience.
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This course is restricted to PhD in Sustainable Development
Departmental colloquium in statistics.
Presentation of doctoral student research and guest speakers.
In the spring semester, new groups are formed to undertake analytic projects for real-world clients in government and nonprofit agencies. These teams, working under the supervision of faculty members, write a report analyzing an actual environmental policy or management problem faced by their clients. Again, projects selected will be relevant to the cohort’s two earth systems problem themes.