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).
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.
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.
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.
This course is restricted to PhD in Sustainable Development
Departmental colloquium in statistics.
Presentation of doctoral student research and guest speakers.
This capstone workshop serves as the culminating experience for students in the MPA in Environmental Science and Policy. Working in teams, students conduct applied policy analysis on real-world environmental and sustainability challenges for public and nonprofit sector clients. Project topics are selected to reflect current global and domestic policy needs, with recent clients including The Nature Conservancy, the World Bank, the Wildlife Conservation Society, and philanthropic initiatives supporting sustainable workforce housing.
Under faculty supervision, students develop project control plans, conduct fieldwork and stakeholder interviews, analyze data, and prepare professional-quality final reports and briefings for clients. The workshop emphasizes practical experience with multidisciplinary policy design and implementation, stakeholder engagement, and collaborative project management. Students sharpen their research, writing, and communication skills while contributing to actionable policy solutions.
This capstone workshop serves as the culminating experience for students in the MPA in Environmental Science and Policy. Working in teams, students conduct applied policy analysis on real-world environmental and sustainability challenges for public and nonprofit sector clients. Project topics are selected to reflect current global and domestic policy needs, with recent clients including The Nature Conservancy, the World Bank, the Wildlife Conservation Society, and philanthropic initiatives supporting sustainable workforce housing.
Under faculty supervision, students develop project control plans, conduct fieldwork and stakeholder interviews, analyze data, and prepare professional-quality final reports and briefings for clients. The workshop emphasizes practical experience with multidisciplinary policy design and implementation, stakeholder engagement, and collaborative project management. Students sharpen their research, writing, and communication skills while contributing to actionable policy solutions.
When externalities go uncorrected, and public goods go undersupplied, the reason is not that the market fails; the reason is that governments are unable or unwilling to intervene effectively. The biggest problem is with transnational externalities and regional and global public goods. This is partly because of the scale of these problems, but it is also because the institutional arrangements at this level make effective intervention difficult. There is no World Government. Instead, there are around 200 sovereign states. To support sustainable development globally, states must cooperate, and yet states' self-interests often conflict with their collective interests. This is why all countries agree that collective action must be taken to limit climate change, and yet, though they try and try again, countries seem unable to muster the individual action needed to meet their own collective goal. The aim of this course is to develop an apparatus for understanding international collective action for sustainable development. By an apparatus, I mean a theory, a structured way of looking at and understanding the world. Rather than just present the theory, my aim is to show you why theory is needed, how it has been constructed, and what its strengths and weaknesses are. Basically, in addition to teaching you principles and tools, I want you to come to see how this field has developed, what it has achieved, and where it has fallen short. Throughout the course, we shall also be looking at tests and applications of the theory-empirical and experimental papers in addition to case studies. The course draws from a number of disciplines, especially economics, game theory (analytical and experimental), and international relations-but also international law, philosophy, history, the natural and physical sciences, and engineering. The focus will be on institutions, and the way that they restructure the relations among states to cause states to behave differently-that is, to cause them to undertake collective action. In terms of applications, the course will address not only climate change but also depletion of the ozone layer, trans-boundary air pollution, pollution of the oceans, over-fishing, biodiversity loss, and the emergence and spread of infectious diseases.
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 14-week workshop designed for the students in the PhD program in Sustainable Development covers the fundamental theory and techniques of causal inference. Specifically tailored to students trained in econometrics and positioned to conduct interdisciplinary research, it systematically ties back the econometrics approaches covered to the underlying statistical framework and provides the students with the tools to conduct rigorous empirical analyses, and share and defend their approach in front of both economics and non-economics audiences. Lower-year students learn the fundamental methods for observational studies, upper-year students discuss how they employ them in their own current research. Participants are presented with the most common methods in the field, their limitations, and best practices, and introduced to underused statistical methods for causal inference.
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.
Critical Thinking and Analysis in Environmental Health Sciences is a culminating experience for EHS students in which they will synthesize the knowledge and experiences they have gained in their MPH core, department specialization and certificate coursework. The primary objective of this course is to enable students to critically examine and analyze a body of scientific knowledge and to effectively communicate such knowledge to lay and scientific audiences. An interactive, highly participatory experience, it typically focuses, in depth, on one or two topics within the field of Environmental Health Science that are of current national and international interest and represent a major human public health concern. The Capstone course will reinforce fundamental concepts acquired through prior departmental and certificate based coursework related to the underlying scientific basis of human health concerns arising from environmental exposure. The pedagogical approach of this course will utilize a combination of outside reading, didactic instruction, engaging class discussion and team-based learning. Students will be required to critically evaluate current knowledge and present, both orally and in writing, the broad outlines and specific aims of a research proposal to address critical gaps in understanding. At the completion of this course, students are expected to be able to critically evaluate and assess scientific evidence as well as successfully conceptualize, create and defend a research proposal. The ability to communicate research concepts and clear, cogent and well thought out research proposals, either orally and written, are essential for many students preparing entry into the workforce, whether in government service, profit or non-profit corporations, academia, scientific research, policy and planning, administration or regulatory affairs. Graduating EHS MPH students are expected to have considerable facility in public speaking skills, interpretation of scientific literature, critical thinking and analysis of published research findings. Each semester, in consultation with the class, a relevant and timely topic is selected to examine in depth. Creation of a NIEHS-style grant application concerning a previously unaddressed topic is an important component of this class.