Analytics and Managerial Decision-Making I is the first of two required quantitative methods courses taken in sequence by all MHA students. These courses are foundational to the MHA curriculum. The two courses are fully integrated with respect to materials, exercises and cases, and by a two-term, team-based application project.
Managers are continually confronted with the need to make significant decisions concerning the organizational and financial performance of a health organization, based on a combination of strategic intention, practical experience, and interpretation and application of complex data and information. Data analysis is one tool that supports such decision-making. This course is designed to provide management students with the tools to generate and present data-driven and model-based management recommendations that are meaningful and implementable.
The course focuses on learning basic tools for the collection, analysis, and presentation of data in support of managerial/executive decision-making. Topics will include introductory data and statistical exploration from basic descriptive statistics to population and market estimation, comparison testing and decision-making, sampling design and analysis, and predicting/forecasting using linear regression. Using Excel as an additional tool, the course develops analytical skills to prepare managers to make and to present informed decisions in the overall healthcare sector.
This Human Rights practicum course focuses on the Western Balkans of the Former Yugoslavia in a contemporary context. The course focuses on war crimes and their respective consequences that have occurred during the most recent Balkan Wars 1991-1999 in the Former Yugoslav states and will include a detailed review and examination of human rights policies and practices carried out by international, regional and national bodies, laws, organizations, frameworks of transitional justice and evaluative tools employed in an effort to stabilize a post-war, post-Communist, post-conflict scenario. The course will present and examine in detail policies and practices deployed by international and national state structures to address the legacies of war crimes and the emergence of new human rights issues that are currently present in the Former Yugoslav space. The course will require students to prepare a 10-page paper on a human rights issue in the region, analyze the issues, review implementation to date and recommend policy initiatives that will address the problem (75 percent of the grade). Students are expected read weekly assignments and regularly participate and attend the class, which will constitute 25 percent of their final grade. Failure to attend class without a justifiable explanation will be penalized by a reduction of one grade letter.
In this course, we will review several case studies in which AI technologies have been (and are being) developed with the express purpose of better predicting and understanding human conflict dynamics. The course instructor will draw on his own experience developing AI tools for multilateral organizations, as well as on a wide range of literature from both academia and policy research. Ultimately, the course is designed to further students' overall understanding of the practical, policy, and ethical aspects of the introduction of AI technologies in international peacekeeping and peacebuilding efforts (in particular, the UN conflict prevention/response architecture).
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
Prerequisite: Instructor-Managed Waitlist.
How can we build peace in the aftermath of extensive violence? How can international actors help in this process? This seminar focuses on international peacemaking, peacekeeping, and peacebuilding efforts in recent conflicts. It adopts a critical, social science approach to the topic of building peace (it is not a class on how to design and implement peacebuilding programs, but rather a class on how to think about such initiatives). It covers general concepts, theories, and debates, as well as specific cases of peacebuilding successes and failures. Throughout the course, students will acquire a broad understanding of the concepts, theoretical traditions, and debates in the study of peacemaking, peacekeeping, and peacebuilding. The course also will introduce students to new issues in the field, such as the micro-foundations of peace settlements, the importance of local perceptions, and the attention to the everyday in the study of conflict-resolution. Furthermore, by the end of the semester, students should have an in-depth understanding of some of the most salient peace processes in recent years, including those in the Democratic Republic of the Congo, Rwanda, and the former Yugoslavia. Interested students should join the waitlist and make sure that they attend the first class meeting.
Fall 2024 Schedule: The class meets weekly on Tuesdays (4:10 - 6 pm) from September 3 to October 15, and then for two full Saturdays (10 am - 5 pm, including a one-hour lunch break) on October 26 and November 16.
The course brings together population genetics theory, empirical studies and genetic models of disease to provide an integrated perspective on the evolutionary forces that shape human variation and in particular disease risk. Our goals are to provide you with a basic toolbox with which to approach human variation data and in parallel, to expose you to cutting-edge research and to the forefront of knowledge in human population genetics. To this end, the course includes in-depth discussions of classic papers in these fields coupled with recent findings employing new technologies and approaches.
To organize the material, we rely heavily on population genetic models. We start with consideration of single sites, covering neutral models, forward and backwards in time; models of selection; mutation-selection balance and the nearly neutral theory. We then turn to linkage and linkage disequilibrium; population structure; linked selection and tests for positive selection. Finally, we provide a brief introduction to quantitative genetics and complex trait mapping from a population genetics perspective.
The format consists in alternating lectures and discussions of primary research papers. On most weeks, there will also be a section, led by the TA (which are compulsory, unless otherwise noted). Grades will be based on class participation (20%), five homework assignments (50%) and a final class presentation (30%). Students can work together on reading the papers for class discussion and presentation, but must work on their homework assignments alone.
Reading will consist of approximately one textbook chapter and two primary research papers per week. Papers will be provided as pdfs on the class website. Textbook reading for the course will be drawn primarily from “Population Genetics, A Concise Guide” by John Gillespie 2nd edition; the specific chapters will be provided as pdfs. Additional books that provide background for a number of topics in the class are: “Human Evolutionary Genetics” (2nd edition) by Jobling, Hurles, and Tyler-Smith, “Coalescent Theory” by Wakeley harder and “Elements of Evolutionary Genetics” by Charlesworth and Charlesworth harder.
This course deepens the actor’s working understanding of their body as “instrument” and teaches practical application of learned skill sets for professional practice and complex use.The course achieves this objective by examining current practice and providing solutions for real time obstacles and challenges actors are encountering in their daily practice in classes and rehearsals. Challenges faced are explored specifically in context of class vocabulary as well as by providing increasingly complex tasks that require use of multiple skills sets at once.The course continues the work of developing physical ease and awareness and expands each actor also to prepare body and being for work in ensemble.
This course will examine the multifaceted nature of sovereign risk, with a focus on its recent history and contemporary issues. The surge in sovereign debt caused by the Covid-19 pandemic has pushed the global debt burden to historical levels, surpassing the WWII debt peak. The course will focus on the interplay of economic, institutional, fiscal, financial, market, political and geopolitical factors that influence sovereign credit quality. It will primarily rely on country examples to analyze pivotal periods when sovereign risk spiked—namely, starting with the 1980s Latin American debt crisis, and continuing with the 1990s Nordic and Japanese financial crises, 1997 Asian financial crisis, the 2009 Greek crisis, recent cases of sovereign default and the effect of the Covid-19 shock on high and lower-middle income countries. The course will examine sovereign risk through the prism of credit rating agency methodologies (namely, Moody’s). The course will take a look at how Environmental, Social and corporate Governance (ESG) concerns fit into sovereign credit risk assessment.
This course equips students for humanitarian, human rights, foreign policy, and political risk jobs that require real-time interpretation and analysis of conflict data. The course will introduce students to contemporary open-source data about conflict events, fatalities, forced displacement, human rights violations, settlement patterns in war zones, and much more. Students will learn about how these data are generated, what they reveal, what they obscure, and the choices analysts can make to use conflict data transparently in the face of biases. Then, students will learn introductory skills to visualize conflict data in R and ArcGIS Pro. The objective is to give students the foundations to go further independently after the course using open-source training material and trouble-shooting portals. Each student will choose a conflict-related policy problem they will investigate.
In this workshop, students will create original writing that is in conversation with American theatrical traditions beyond the proscenium. We will investigate and engage theatrical forms, such as the side show, courtroom drama, violence as spectacle and performance art. The aim is to encourage students to think more expansively and non-traditionally in their approach to writing and making theatre.
Prerequisites: ECON G6211, ECON G6212. Market Design is an emerging field in economics that attempts to devise a practical scheme for allocating scarce resources to individuals who value them. Its applications involve many important real life problems ranging from allocation of government resources such as public land, fishing/mineral rights, radio spectrum licenses, allocation of school choice and transplantable human organs, assignment of workers to jobs, to placement of advertising in Internet search engines. Mechanism design underpins the field as a general methodological framework, which is in turn operationalized by two branches of theories: 1) Auction Theory and 2) Matching Theory. The course will provide a guide through these theories and discusses a few applications along the way.
Prerequisites: permission of the departmental adviser to Graduate Studies.
Presents students with critical theories of society, paying particular attention to classic continental social theory of the nineteenth and twentieth centuries. We will trace a trajectory through important French and German writings essential for any understanding of the modern discipline of anthropology: from Saussure through Durkheim and Mauss, Marx, Weber, and on to the structuralist elaboration of these theoretical perspectives in Claude Lévi-Strauss, always bearing in mind the relationship of these theories to contemporary anthropology. We come last to Foucault and affiliated theorists as successors both to French structuralism and to German social theory and its concerns with modernity, rationality, and power. Throughout the readings, we will give special care to questions of signification as they inform anthropological inquiry, and we will be alert to the historical contexts that situate the discipline of anthropology today.
A graduate-level introduction to classical and modern feedback control that does not presume an undergraduate background in control. Scalar and matrix differential equation models and solutions in terms of state transition matrices. Transfer functions and transfer function matrices, block diagram manipulations, closed loop response. Proportional, rate, and integral controllers, and compensators. Design by root locus and frequency response. Controllability and observability. Luenberger observers, pole placement, and linear-quadratic cost controllers.
Prerequisite Course: SIPAU6501 - Quantitative Analysis II.
The goal of this course is to enable students to evaluate the policy relevance of academic research. While academic research frequently considers treatments that approximate a potential public policy, such prima facie relevance alone does not inform policy. In particular, public policy is predicated on the credible estimation of causal treatment effects. For example, although researchers frequently document the strong correlation between years of schooling and better health, this tells us surprisingly little (and arguably nothing) about the health effects of public tuition assistance, compulsory school laws, or any other program that raises educational attainment. Policies guided by statistical correlations - even the regression-adjusted estimates that dominate the academic literature - will frequently have unintended and even perverse real-world effects. Policymakers must distinguish between causal estimates that should inform policy design and statistical correlations that should not. The catch is that distinguishing correlation from causation in empirical studies is surprisingly difficult. Econometric technique alone does not provide a reliable path to causal inference. Applications of instrumental variables (IV) techniques, while wildly popular, arguably obscure sources of identification more often than isolating exogenous variation. Similar concerns apply to popular panel data and fixed effects (FE) models, which can eliminate certain unobservable sources of bias. Furthermore, causal claims by a study's author should be regarded with skepticism - frequently this is merely the marketing of a non-transparent statistical correlation. Put differently, when has a researcher portrayed his empirical result as a mere correlation when in fact he/she had identified a credible causal impact? A basic theme of the course is that identification strategy - the manner in which a researcher uses observational real-world data to approximate a controlled/randomized trial (Angrist & Pischke, 2009) - is the bedrock of causal inference. Econometric technique cannot rescue a fundamentally flawed identification strategy. In other words, econometrics and identifications strategies are complements in the production of causal estimates, not substitutes. Examples of appropriate econometric technique applied to compelling identification strategies will be described to illustrate this approach (most often from health economics), along with their implic
Priority Reg: Executive MPA.
This course focuses on the development of cities and transformative initiatives, especially New York City. In this course, a wide array of economic development projects and strategies will be examined. It will take a look at the core economic goals that were set forth nearly two decades ago in an effort to diversify the economy and make it less dependent on financial services, while examining the challenges faced by cities today in light of the COVID 19 pandemic.
Land use policy, use of incentives, new developments, placemaking initiatives, and approaches to district management will also be studied. Students will get a broad understanding of how economic development tools and tactics have been leveraged to revitalize central business districts, neighborhoods, the waterfront and public spaces.
This course will review the effectiveness of public-private partnerships including business improvement districts (BIDs) local development corporations, and park conservancies. New York City is the home of the largest network of (BIDs) in the world. During the course, we will also examine how anchor institutions (
universities, hospitals, cultural organizations
) are playing an increased role in community revitalization. Students will be able to assess various economic development strategies through the use of case studies, articles, and guest speakers.
This class explores advanced topics relating to the production of music by computer. Although programming experience is not a prerequisite, various programming techniques are enlisted to investigate interface design, algorithmic composition, computer analysis and processing of digital audio, and the use of computer music in contexts such as VR/AR applications. Check with the instructor for the particular focus of the class in an upcoming semester. Some familiarity with computer music hardware/software is expected. Permission of instructor is required to enroll.
This course fosters students to challenge bias, prejudice, and forms of discrimination that operate in the lives of social workers and our clients. As a “laboratory,” learning begins with hands-on participation in a series of interactive exercises designed to elicit and deconstruct dynamics of racism, sexism, ageism, ableism, heterocentrism, classism, etc. Each activity is followed by a facilitated exploration and critical analysis of the experiential process. An emphasis is placed on professional and personal insight and skill with regards to culturally/contextually competent practice, processing of charged issues, and use of self. This course is well-suited for students who are authentic, willing to take risks, and committed to becoming effective agents of change towards social justice.
This course is conceived to assist social work practitioners identify and examine the ways various populations experience oppression and discrimination, with an eye towards the various dimensions that shape how “-isms” occur in our lives and society, including but not limited to:
Societal levels: personal, institutional, cultural
Visibility: overt, covert
Temporal: historical, periodic/occasional, everyday/ongoing
Actor: me, us, them
Dynamics of invalidation/forms of denial
Position, people, procedures, and productivity: this class will introduce first year students to the concept of the stage manager as the CE/OO (Chief Executive/Operating Officer) for a production. The primary focus will be on human resources management; organizational charts for both the commercial and not- for-profit arenas will be introduced and “best leadership practices” will be discussed. Texts and reading materials from non-theatrical sources will provide the basis for discussion. An individualized reading- writing project and presentation will spotlight the role of the stage manager within the larger context of theatrical production.
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What is genre painting in Japan? This question is the basis for a lecture course intended as an in-depth investigation of paintings produced ca. 1525–1650 that offer ostensibly straightforward representations of urban life in unification-era Japan. “Genre paintings” (
fūzokuga
) would not be defined as a modern category until the late 19th century, but a corpus of works produced by a diverse group of painters during a 125-year span nevertheless coalesces in their shared interest in such universal human experiences as work, faith, and play, and stand distinct from other categories of painting, such as imagined Chinese-style landscape, religious icons, or works depicting literary themes.
Fūzokuga
were also valorized and were the subject of theorization and reproduction after their 17th century heyday, particularly in their generative role for images of the “floating world,” ukiyo-e. The lectures will be shaped around one or two major examples each week, and will be supplemented by viewings at the Metropolitan Museum of Art and other regional museums.
Pediatric Physical Assessment and Differential Diagnosis is designed to increase the knowledge of specific physical assessment techniques to be used with pediatric patients. Using a case based approach, the student will recognize physical, psychological, and developmental problems, and begin to develop differential diagnoses. Emphasis will be placed on developmental assessment, screening tools, documentation of key history points and physical exam findings. The student will identify patterns of key history and physical points in different presentation of pediatric patients.
Theory and geometry of linear programming. The simplex method. Duality theory, sensitivity analysis, column generation and decomposition. Interior point methods. Introduction to nonlinear optimization: convexity, optimality conditions, steepest descent, and Newton’s method, active set, and barrier methods.
This course is designed to help the student develop pediatric specific history and physical assessment skills within a simulation setting. Each week, the student will have an opportunity to do hands on training regarding the subject covered in pediatric physical assessment and diagnosis using case-based simulation exercises and learning of physical assessment techniques. The weekly lab classes are designed to refine the skills of the PNP student.
Prerequisites: Instructor-Managed Waitlist, Course Application, and Quantitative Analysis II.
This course will develop the skills to prepare, analyze, and present data for policy analysis and program evaluation using R. In Quant I and II, students are introduced to probability and statistics, regression analysis and causal inference. In this course we focus on the practical application of these skills to explore data and policy questions on your own. The goal is to help students become effective analysts and policy researchers: given available data, what sort of analysis would best inform our policy questions? How do we prepare data and implement statistical methods using R? How can we begin to draw conclusions about the causal effects of policies, not just correlation? We’ll learn these skills by exploring data on a range of policy topics: COVID-19 cases; racial bias in NYPD subway fare evasion enforcement; the distribution of Village Fund grants in Indonesia; US police shootings; wage gaps by gender/race; and student projects on topics of your choosing.
Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN.
The course aims to offer students a realistic view and understanding of what is involved in maintaining a long-running commercial musical production. Through discussion with professionals and practical presentation we will explore the many and varied aspects of this collaborative industry.
Pediatric Primary Care Nursing II focuses on the delivery of primary health care to school-age children and adolescents. This includes health promotion, the prevention of illness, and the management of common episodic problems. Using the school for clinical experience, the student will assess the status, teach individuals and groups of children, and will work with teachers and parents. Students will utilize knowledge of growth and development to develop age appropriate teaching plans, and assess children and families to assume an active role as health consumers. Current courses in pediatric pathophysiology and child development contribute to the student's knowledge base. Students continue to provide primary care to their caseload of well children in their pediatric primary care sites.
Priority Reg: MPA-EPM. Prerequisite: MPA-EPM Student, or SIPAU6500 - Quantitative Analysis I.
This course introduces students to multiple regression methods for analyzing data in economics and related disciplines. Extensions include regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi-experiments, and regression with time series data. The objective of the course is for the student to learn how to conduct – and how to critique – empirical studies in economics and related fields. Accordingly, the emphasis of the course is on empirical applications. The mathematics of econometrics will be introduced only as needed and will not be a central focus.