Advanced study in a specialized field under the supervision of a member of the department staff. Before registering, the student must submit an outline of the proposed work for approval of the supervisor and the department chair.
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.
Prerequisites: the instructors permission. Individual research and tutorial in archaeology for advanced graduate students.
Prerequisites: the instructors permission. Individual research and tutorial in physical anthropology for advanced graduate students.
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.
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.
This 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 familiarity with professional journals and conferences, utilization of electronic resources for literature searches and citation management, writing process and organizational skills, identification of predatory journal and conference enterprises, and academic integrity and the continuum of plagiarism. The course culminates in an annotated bibliography on a topic of the student’s choosing that allows for the synthesis and application of the skills and resources developed over the course. In conjunction with part two of the course, students are prepared for a lifelong approach to integrating scholarship into clinical practice.
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 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
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.