Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students
Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students
Prerequisites: the instructors permission. Individual research in all divisions of anthropology and in allied fields for advanced graduate students
Prerequisite: Statistics G6105 (real analysis and probability theory), or the equivalent. A general introduction to mathematical statistics and statistical decision theory. Elementary decision theory, Bayes inference, Neyman-Pearson theory, hypothesis testing, uniformity, most powerful unbiased tests, confidence sets. Estimation: methods, theory, and asymptotic properties. Likelihood ratio tests, multivariate distribution. Elements of general linear hypothesis, invariance, nonparametric methods, sequential analysis.
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.
What is realism and how does it relate to objectivity? In this course, we will consider a range of answers, with special attention to problems of value. We will begin by clarifying the nature of realism about a subject matter and arguments that might support it. We will then look at limitations of realism per se, and the need to supplement it with a distinct notion of objectivity. Next, we will consider arguments that “realist objectivism”, while attractive, is an untenable package. This will lead us to discuss anti-objectivist forms of realism and their deflationary methodological ramifications. Finally, we will look at the prospects for objectivity without realism, particularly in the evaluative case. We will conclude by sketching a neo-pragmatist metaphilosophical outlook.
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 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.
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 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.
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 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.
This is a research oriented PhD class which will cover a number of recent advances in online optimization and random optimization, and highlight open research directions. Topics will include dynamic spatial matching, the compensated coupling technique and associated algorithms for obtaining O(1) regret in network revenue management problems (Sid Banerjee and coauthors), matching secretary and matching prophet problems (Michal Feldman and coauthors), finite sample guarantees for RL (Siva Theja Maguluri and coauthors), and mirror descent based online optimization algorithms for both stochastic and worst case settings (work by Qian; Balseiro, Mirrokni, Lu; and others). Students will undertake a research project in groups or individually.
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.
Continuation of N9150.
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
Weekly seminar of presentations and discussion of current topics in cognition.
Prerequisites: the instructor's permission. At least one foundational course in moral philosophy is recommended as background for this course. In this seminar we will take up several questions about moral understanding and insight. Questions we will consider include: Can trusting moral testimony ever be rational or right? Are the reasons to be cautions about relying on moral testimony moral reasons or epistemic reasons (or both)? What assumptions about moral knowledge do critics and defenders of moral testimony make? How does moral knowledge differ, if it does, from moral understanding? Is there such a thing as moral expertise? Is there any reason to think that moral expertise is more problematic than other kinds of expertise? Can emotions inform us about value? Under what conditions, if any, can emotions contribute to our understanding of value? Under what conditions are emotions impediments to moral knowledge or understanding? Can fictions help us gain moral insight? Can pictures ever be legitimate tools of moral persuasion?
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.
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 course is restricted to PhD in Sustainable Development
Departmental colloquium in statistics.
Presentation of doctoral student research and guest speakers.
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.
Clinical and laboratory projects or field investigation related to nutrition, particularly in the area of growth and development.
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
In the summer and autumn semesters, the Workshop emphasizes management issues. Students enroll in small, faculty-advised project teams and design a detailed operational plan for addressing an important public policy problem. Each Workshop faculty member selects a piece of proposed but not yet enacted state, federal, or local environmental law (or a U.N. resolution) and students are asked to develop a plan for implementing and managing the new program. In the summer semester, the Workshop groups write reports explaining the environmental science aspects of a management problem to political decision-makers who are not scientists. During the autumn semester the Workshop completes the operational plan for implementing the program. Both the summer and autumn Workshop projects will be on issues central to the two earth systems problem themes that the cohort will focus on throughout their course of study.
In the summer and autumn semesters, the Workshop emphasizes management issues. Students enroll in small, faculty-advised project teams and design a detailed operational plan for addressing an important public policy problem. Each Workshop faculty member selects a piece of proposed but not yet enacted state, federal, or local environmental law (or a U.N. resolution) and students are asked to develop a plan for implementing and managing the new program. In the summer semester, the Workshop groups write reports explaining the environmental science aspects of a management problem to political decision-makers who are not scientists. During the autumn semester the Workshop completes the operational plan for implementing the program. Both the summer and autumn Workshop projects will be on issues central to the two earth systems problem themes that the cohort will focus on throughout their course of study.
See CLS curriculum guide.