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).
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.
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.
This is one of two consecutive seminars which is designed to integrate knowledge from Fundamentals of Comprehensive Care into clinical application. Using standardized case scenarios that represent common acute and chronic disease processes that are seen across the lifespan and across settings, students will work in groups to discuss the case, identify factors that impact the case, analyze clinical decision-making, and apply best evidence.
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.
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 postgraduation. This final clinical education experience provides students with an opportunity to further develop skills used in the First Clinical Education Experience and the Intermediate Clinical Education Experience 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 case study presentation in partial fulfillment of the requirements of this experience.
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 cohorts two earth systems problem themes.
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 cohorts two earth systems problem themes.
See CLS curriculum guide.
Interdisciplinary research is an approach to advancing scientific knowledge in which researchers from different disciplines work at the borders of those disciplines in order to address complex questions and problems. Successful interdisciplinary efforts require mastery of specific competencies. This seminar will introduce students to competencies in interdisciplinary research through a combination of readings, case studies, and lectures in each necessary aspect, chosen from fields essential to successful interdisciplinary research. It is intended to assist learners to understand why and how different professional disciplines must work together to generate and disseminate knowledge. We will examine: different conceptualizations of interdisciplinary; barriers to and facilitators of interdisciplinary research; approaches, benefits, and limitations of collaboration and team science; methods for measuring interdisciplinary collaboration; the intersection of translational and interdisciplinary scientific strategies; and individual researchers' experiences with and evaluations of their own interdisciplinary scientific projects. Learners will develop a set of skills to be effective members and leaders of interdisciplinary research teams.
Research work culminating in a creditable dissertation on a problem of a fundamental nature selected in conference between student and adviser. Wide latitude is permitted in choice of a subject, but independent work of distinctly graduate character is required in its handling.
All graduate students are required to attend the departmental colloquium as long as they are in residence. Advanced doctoral students may be excused after three years of residence. No degree credit is granted.
This course is intended to provide a strong foundation in the concepts of genetics and clinical applicability of genomic concepts commonly seen in advance practice nurses’ clinical practice. Both classical Mendelian and molecular genetics will be examined, in order to provide a knowledge base that will enable the advanced practice nurse to integrate genetic and genomic knowledge into clinical practice. Using a case discussion approach, clinical issues of genetics testing, genetic exceptionalism, individualized risk assessments and predictions are explored throughout their life span.
This is a Public Health Course. Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses
Required of doctoral candidates.