Basic radiation physics: radioactive decay, radiation producing devices, characteristics of the different types of radiation (photons, charged and uncharged particles) and mechanisms of their interactions with materials. Essentials of the determination, by measurement and calculation, of absorbed doses from ionizing radiation sources used in medical physics (clinical) situations and for health physics purposes.
This course will combine study of long-term historical sociology with more short term understanding of policies and their possible effects. Though its main purpose will be to provide students with an understanding of politics after independence, it will argue, methodologically, that this understanding should be based on a study of historical sociology – plotting long-terms shifts in the structure of social power. The course will start with analyses of the structures of power and ideas about political legitimacy in pre-modern India, and the transformations brought by colonialism into that order. After a brief study of the nature of political order under the colonial state, the courses will focus primarily on the history of the democratic state after independence.
This seminar will examine the history of the impact of technology and media on religion and vice versa before bringing into focus the main event: religion today and in the future. Well read the classics as well as review current writing, video and other media, bringing thinkers such as Eliade, McLuhan, Mumford and Weber into dialogue with the current writing of Kurzweil, Lanier and Taylor, and look at, among other things: ethics in a Virtual World; the relationship between Burning Man, a potential new religion, and technology; the relevance of God and The Rapture in Kurzweils Singularity; and what will become of karma when carbon-based persons merge with silicon-based entities and other advanced technologies.
This course interrogates seminal issues in the academic study of Islam through its popular representation in various forms of media from movies and television to novels and comic books. The class is structured around key theoretical readings from a range of academic disciplines ranging from art history and anthropology to comparative literature and religion.
The course begins by placing the controversies surrounding the visual depiction of Muhammad in historical perspective (Gruber). This is followed by an examination of modern portrayals of Muslims in film that highlights both the vilification of the “other” (Shaheen) and the persistence of colonial discourses centered on the “native informant” (Mamdani). Particular emphasis is given to recent pop cultural works that challenge these simplistic discourses of Islam. The second half of the course revisits Muhammad, employing an anthropological framework (Asad) to understand the controversies surrounding Salman Rushdie’s Satanic Verses. The obsession with a gendered depiction of Islam is then examined through an anthropological framework that sheds light on the problems of salvation narratives (Abu Lughod). The course ends with a look at the unique history of Islam in America, particularly the tension between immigrant and African-American communities.
This third year (or fifth semester) course in the Hindi-Urdu program aims to continue building upon the existing listening, speaking, reading, writing, and cultural skills in Hindi.Students will be exposed to a variety of authentic materials, such as stories, plays, newspapers, magazines, videos, and film clips. They will be expected to expand their vocabulary, enhance their grammatical accuracy, and develop their cultural appropriateness through enthusiastic participation in classroom activities and immersion in the speech community outside.
The objective of the course is to promote meaningful interaction with literary texts and strengthen students’ language skills to understand and describe situations and people in diverse academic settings of modern Hindi. Writing in the target language will be emphasized throughout the semester to enable students to use their diverse vocabulary and grammatical structures. This course will prepare students for “Advanced Hindi-II.”
Prerequisites: Two courses in psychology, including at least one course with a focus on research methods
and/or statistics, and permission of the instructor.
Review of theories and empirical research related to religious cognition and behavior. Topics include the
foundations of religious belief and practice, people's concepts of religious ideas, and the lack of religious
belief/identity (e.g., atheism), among others.
What is the relationship between homoeroticism and homosociality? How does this relationship form conceptions of gender and sexuality in ways that might be historically unfamiliar and culturally or regionally specific? We pursue these questions through the lens of friendship and its relationship to ideas and expressions of desire, love, and loyalty in pre-modern times. We begin by considering the intellectual basis of the modern idea of friendship as a private, personal relationship, and trace it back to earlier times when it was often a public relationship of social and political significance. Some of these relationships were between social equals, while many were unequal forms (like patronage) that could bridge social, political or parochial differences.
Thinking through the relationships and possible distinctions between erotic love, romantic love and amity (love between friends), we will draw on scholarly works from a variety of disciplinary perspectives, particularly philosophy, sociology, political theory, literature, history, and art history. We will attend to friendship’s work in constituting, maintaining and challenging various social and political orders in a variety of Asian contexts (West, Central, South and East Asian), with comparative reference to scholarship on European and East Asian contexts. Primary source materials will include philosophy, religious manuals, autobiographies, popular love stories, heroic epics, mystical poetry, mirror for princes, paintings, material objects of exchange, and architectural monuments, largely from Islamic and Asian contexts.
Prerequisites: Two years of prior study in Urdu or one year of Urdu for Heritage Speakers I&II courses at Columbia University, or approval of the professor. This is a one-semester course in advanced Urdu language. It will be taught in the fall semester. The goal of the course is to develop students’ linguistic skills i.e. listening, speaking, reading, writing and cultural skills in Urdu, and give students in-depth exposure to some of the finest works of classical and modern Urdu prose. Special emphasis will be given to developing a high-register vocabulary. Necessary grammar points will also be explained for developing an accurate and nuanced understanding of the Urdu language. After completing this course, students will be able to read and enjoy Urdu classics and critical academic texts related to various disciplines i.e. old tales, short stories, essays, history, satire, criticism, politics, current issues etc. along with effective speaking skills suited to active interaction in the speech community and a more advanced academic discussion for undergraduate and graduate students. Students will develop an in-depth understanding of South Asian society and culture as well. This course will prepare students to take MDES GU4635 Readings in Urdu Literature I.
Systemic approach to the study of the human body from a medical imaging point of view: skeletal, respiratory, cardiovascular, digestive, and urinary systems, breast and womens issues, head and neck, and central nervous system. Lectures are reinforced by examples from clinical two- and three-dimensional and functional imaging (CT, MRI, PET, SPECT, U/S, etc.).
This course is designed to introduce contemporary children’s rights issues and help students develop practical advocacy skills to protect and promote the rights of children. Students will explore case studies of advocacy campaigns addressing issues including juvenile justice, child labor, child marriage, the use of child soldiers, corporal punishment, migration and child refugees, female genital mutilation, and LBGT issues affecting children. Over the course of the semester, students will become familiar with international children’s rights standards, as well as a variety of advocacy strategies and avenues, including use of the media, litigation, and advocacy with UN, legislative bodies, and the private sector. Written assignments will focus on practical advocacy tools, including advocacy letters, op-eds, submissions to UN mechanisms or treaty bodies, and the development of an overarching advocacy strategy, including the identification of goals and objectives, and appropriate advocacy targets and tactics.
Lab fee: $50. Theory and use of alpha, beta, gamma, and X-ray detectors and associated electronics for counting, energy spectroscopy, and dosimetry; radiation safety; counting statistics and error propagation; mechanisms of radiation emission and interaction. (Topic coverage may be revised.)
While helping students advance their levels of oral and written expression, this course focuses on literature of the modern and medieval periods, with particular emphasis on the development of the modern novella and traditional and new forms of poetry. In addition to literature, students are introduced to a wide variety of genres from political and cultural essays and blogs to newspaper translations of the early 20th century. They will be further exposed to ta´rof in reference to a wide variety of socio-cultural contexts and be expected to use ta´rof in class conversations. Students will be exposed to popular artists and their works and satirical websites for insight into contemporary Iranian culture and politics. No P/D/F or R credit is allowed for this class.
The forms of domination and violence that have characterized the phenomenon of empire have always been interwoven with desire and various forms of intimacy. Personal relationships have been vectors of colonial power as well as sites of resistance. In this course we consider various ways in which love, desire and intimacy have emerged as questions in the French colonial context. The course covers a broad historical and geographic span stretching from the age of plantation slavery to the era of decolonization and from the Caribbean and Louisiana to Vietnam and Africa. We consider both the transmission of categories and practices across colonial contexts and historical transitions and regional specificities. The course methodology is interdisciplinary, drawing on insights from history, sociology and law. The primary lens is, however, be that of literature, a medium in which the personal dimensions of empire have often found expression. We consider how recurrent themes and figures of colonial desire and intimacy have taken shape across different genres and registers of writing.
Intensive study of a particular topic in Moral Psychology.
This course constitutes the first half of a year-long advanced reading course in Classical Sanskrit. In 2021-2022, the focus of Advanced Sanskrit will be the genres of literary theory (alaṅkāraśāstra) and belles-lettres (kāvya). Lending equal attention to literary theory and literary practice, this course will introduce students to iconic works of Sanskrit literature along with the interpretive frameworks whereby they were analyzed, relished, and appraised. Literary excerpts may be drawn from an array of subgenres, including courtly epic (mahākāvya), epic drama (nāṭaka), literary prose (gadya), and individual verses (muktaka). Rigorous analysis of primary texts will be supplemented by occasional discussions about what implications the disciplined reading of kāvya may hold for practices such as translation, comparative literature, and transdisciplinarity. Prerequisites: Intermediate Sanskrit II or instructor’s permission.
This course will focus on the Indo-Islamic literary traditions in South Asia, and particularly in what is now India and Pakistan, focusing on Urdu literature from the nineteenth and twentieth centuries. The course will emphasize the rhetorical and performative history of poetic forms in the subcontinent (including the forms of the
Ghazal
and
Nauha
, among others) and will consider how classical poetic tropes continue to inform contemporary mass culture in India and Pakistan—particularly in the song lyrics of Hindi/Bollywood cinema. The course will also consider more contemporary prose genres of Urdu-language writing (in English translation), including the literature of the Partition and the works of contemporary authors such as Naiyer Masud and Saima Iram.
Through a comparative study of texts in different genres and at different moments in history, students will consider questions such as: What aspects of contemporary literary culture in India and Pakistan can be traced to early establishment of Islamic culture in the region? How have the poetic conventions of Indo-Islamic poetry continued to resonate? How did the interaction of Hindu and Muslim literary, musical, visual, and religious cultures in the Mughal era help to generate the rich profusion of literature and music and cultural tolerance in this period?
Most of our readings in this course will Urdu literature in English translation. We will also, however, read some secondary sources in order to help us better understand the primary sources.
A recent American newspaper headline announced that China has become “the most materialistic country the world.” Globally circulating narratives often interpret Chinese consumers’ demand for commodities as an attempt to fill a void left by the absence of the Maoist state, traditional religious life, and Western-style democracy. But things aren’t as simple as they appear. This course explores the intertwined questions of “Chinese” desire and the desire for China. Avoiding reductionist understandings of desire as either a universal natural human attribute or a particular Chinese cultural trait, we will track the production and management of desire within a complex global field. Drawing on ethnographies, films, short stories, and psychoanalytic and postcolonial theory, this course will explore the shifting figure of desire across the Maoist and post-Maoist eras by examining how academics, government officials, intellectuals, and artists have represented Chinese needs, wants and fantasies. From state leaders’ attempts to improve the “quality” of the country’s population to citizens’ dreams of home ownership, from sexualized desire to hunger for food, drugs and other commodities, we will attend to the continuities and disjunctures of recent Chinese history by tracking how desire in China has been conceptualized and refracted through local and global encounters.
Exploration of Russias ambiguous relationship with the Western world. Cultural, philosophical, and historical explanations will be examined alongside theories of domestic political economy and international relations, to gain an understanding of current events. Select cases from the Tsarist, Soviet, and recent periods will be compared and contrasted, to see if patterns emerge.
Prerequisites: the instructors permission. Topics chosen in consultation between members of the staff and students.
Prerequisites: the instructors permission. Topics chosen in consultation between members of the staff and students.
Advanced Turkish I is designed to use authentic Turkish materials around projects that are chosen by the student in a research seminar format where students conduct their own research and share it in class in a friendly atmosphere. No P/D/F or R credit is allowed for this class.
The development of computational tools, such as artificial intelligence, has transformed daily life and many areas of research. For instance, the development of large language models such as ChatGPT, have changed the way people write and think. These computational tools also hold great potential for advancing psychological research. However, they are still unfamiliar to many students and psychologists.
In this class, you will learn about how to apply computational tools to facilitate practical problem solving in the real world and research at different stages, including before, during, and after data collection. Specifically, through a combination of lectures (which focus on the mathematical basics and developments of these computational methods), in-class engagements (which focus on translational application of the computational methods to solving new practical problems), and coding workshops (which focus on practical coding skills that implement the computational methods), I will introduce you to methods for handling complex stimuli, validating data quality, and modeling big data. Workshops will be administered via Colab using Python, so please be sure to bring a laptop to every class.
Prerequisites: the instructors permission. Please e-mail the instructor at bc14@columbia.edu. This course will examine the tension between two contradictory trends in world politics. On the one hand, we have emerged from a century that has seen some of the most brutal practices ever perpetrated by states against their populations in the form of genocide, systematic torture, mass murder and ethnic cleansing. Many of these abuses occurred after the Holocaust, even though the mantra never again was viewed by many as a pledge never to allow a repeat of these practices. Events in the new century suggest that these trends will not end anytime soon. At the same time, since the middle of the twentieth century, for the first time in human history there has been a growing global consensus that all individuals are entitled to at least some level of protection from abuse by their governments. This concept of human rights has been institutionalized through international law, diplomacy, international discourse, transnational activism, and the foreign policies of many states. Over the past two decades, international organizations, non-governmental organizations, and international tribunals have gone further than any institutions in human history to try to stem state abuses. This seminar will try to make sense of these contradictions.
This 4000-level seminar explores the Ottoman Empire with emphasis on the long nineteenth century, while also tracing how the century that followed remained profoundly marked by the afterlives of its institutions, ideas, and the disruptions it set in motion. After an overview Ottoman history and historiography, and an exploration of recent digital humanities trends in Ottoman Studies, the course proceeds in three sections: 1) imperial reconfiguration and crisis, 2) revolution, war, and genocide, and 3) afterlives of empire. Case studies spotlight the empire’s ethno-religious communities, including Arabs, Armenians, Assyrians, Greeks, Jews, Kurds, and Muslim refugees from the Balkans and the Russian Empire. Anchored in
The I.B. Tauris Handbook of the Late Ottoman Empire: History and Legacy
, the course aims to equip students with the conceptual and historiographical tools needed to critically analyze the Ottoman past and its enduring legacies across the modern Middle East.
This interdisciplinary course grapples with nation-states and cities at its margins, exploring the exclusions, oppositions, silences and, in particular, the 'Others' or 'in-betweens' of the nation-state as an organizing tool. ‘Illegal migrants’, ‘refugees’, ‘asylum seekers’, ‘exiles’, ‘nomads’, ‘aliens’, and other ‘Others’: these are all in-between figures, exceptions to a political order defined by membership in the city, borders, sovereignty and nation-states. In their very existence, they represent a challenge to this political order, as social and political theorists have long recognized. This seminar explores the dynamics, contradictions and politics surrounding nation-states and their Others with particular attention to the responses to them on the part of ostensibly liberal-democratic states. We examine the relationship between citizenship, statelessness, refugee-hood and migration as exceptions to a political order defined by membership in the city, borders, sovereignty and nation-states. Students will engage with film, fiction, visual animations and displacement maps to examine key theoretical and critical interventions by scholars who examine nation-states and cities at their margins. To this end, participants will examine key theoretical interventions by Hannah Arendt, Michel Foucault, Jacques Derrida, and Giorgio Agamben alongside scholars who have grappled with, contested, and developed their ideas, such as Étienne Balibar, Didier Bigo, Jacques Rancière, and Seyla Benhabib. With these texts, the participants will attempt to explore non-national or post-national alternatives to the nation-state and citizenship as a tool for planning and organization of people and space.
Taken together, this course provides an alternative to conventional scholarship on this subject. It engages with and provides an alternative to the mainstream literature to take for granted the inclusive and integrative character of nation-states and its respective memberships in the form of refugees, citizens and migrants.
At first glance, the course may appear highly theoretical, but not to worry—we will move slowly through the texts and concepts together. The instructor will also ensure that we apply the ideas discussed in class to concrete and tangible case studies with examples given to enable easier access and collective learning.
What is the state of anti-incarceral activism today? What visions of social transformation are available for tomorrow? Mass incarceration remains one of the most pressing human rights issues in the United States. This course explores what has been done, is being done, and can be done to rethink incarceration in the U.S. and to provoke change.
We will actively engage with prominent activists at Columbia who will visit some classes during the second half of the semester.
Incarcerated people in the Metropolitan Detention Center (MDC) in Brooklyn (a maximum-security federal prison) and in Rikers Island (a mixed security New York State detention center) regularly claim to be tortured (and show apparent evidence of torture), and yet their claims are rarely thoroughly examined. There has never been real accountability. Compare the New York cases to those in Chicago. From 1972 to 1991, former Chicago police commander Jon Burge and white detectives under his command systematically tortured at least 117 Black people in police custody. In May 2015, 43 years after clear evidence of torture, Chicago became the first municipality in the U.S. to provide reparations to those harmed by racially-motivated law enforcement violence, passing legislation for survivors of the Burge police torture regime. What is the difference between those tortured in Chicago and those who (at least claim to) have been tortured in New York? Decades of community activism.
The frontier is central to the United States’ conception of its history and place in the world. It is an abstract concept that reflects the American mythology of progress and is rooted in religious ideas about land, labor, and ownership. Throughout the nineteenth century, these ideas became more than just abstractions. They were tested, hardened, and revised by U.S. officials and the soldiers they commanded on American battlefields. This violence took the form of the Civil War as well as the series of U.S. military encounters with Native Americans known as the Indian Wars. These separate yet overlapping campaigns have had profound and lasting consequences for the North American landscape and its peoples.
This course explores the relationship between religious ideology and violence in the last half of nineteenth century. Organized chronologically and geographically, we will engage with both primary sources and classic works in the historiography of the Indian Wars to examine how religion shaped U.S. policy and race relations from the start of the Civil War through approximately 1910.
Nomads, natives, peasants, hill people, aboriginals, hunter-gatherers, First Nations—these
are just a handful of the terms in use to define indigenous peoples globally. The names these groups
use to describe themselves, as well as the varying religious practices, attitudes, and beliefs among
these populations are far more numerous and complex. For much of recorded history however,
colonial centers of power have defined indigenous peoples racially and often in terms of lacking
religion; as pagan, barbarian, non-modern, and without history or civilization.
Despite this conundrum of identity and classification, indigenous religious traditions often
have well-documented and observable pasts. This course considers the challenges associated with
studying indigenous religious history, as well as the changing social, political, and legal dimensions
of religious practice among native groups over time and in relationship to the state. Organized
thematically and geographically, we will engage with classic works of ethnohistory, environmental
history, indigenous studies, anthropology, and religious studies as well as primary sources that
include legal documentation, military records, personal testimony, and oral narrative.
This course will enable students to complete a research study of considerable length that will (i) enable them to explore a given area of research in substantive detail; (ii) put them on the path to true competence as independent researchers; and (iii) provide those who go on to apply to PhD programs with a substantial writing sample that shows off their technical abilities to the best advantage.
This course will be the first part of a two part introduction to theoretical approaches to modern social science and cultural studies in Asian and African contexts. The first course will focus primarily on methodological and theoretical problems in the fields broadly described as historical social sciences - which study historical trends, and political, economic and social institutions and processes. The course will start with discussions regarding the origins of the modern social sciences and the disputes about the nature of social science knowledge. In the next section it will focus on definitions and debates about the concept of modernity. It will go on to analyses of some fundamental concepts used in modern social and historical analyses: concepts of social action, political concepts like state, power, hegemony, democracy, nationalism; economic concepts like the economy, labor, market, capitalism, and related concepts of secularity/secularism, representation, and identity. The teaching will be primarily through close reading of set texts, followed by a discussion. A primary concern of the course will be to think about problems specific to the societies studied by scholars of Asia and Africa: how to use a conceptual language originally stemming from reflection on European modernity in thinking about societies which have quite different historical and cultural characteristics.
The Graduate Research Colloquium is a forum that offers two types of research seminars over the course of the semester. In the first, formerly the Graduate Colloquium, up to six outside speakers are invited by the graduate organizers to present research papers to an audience of graduates, faculty and others interested within the larger NYC Classics community, and afterwards to engage in discussion. The second is a Work-in-Progress seminar in which Columbia Classics graduate students present their research to their graduate peers in whatever format they deem most conducive to conveying their research to their audience and receiving feedback. The audience for these eight seminars is restricted to graduate students, the instructor who presides over the course, and any faculty the graduate student presenters choose should choose to invite. At least one semester of the Graduate Research Colloquium is required for MAO students and PhD students must attend the course in both the Fall and Spring semesters of their first year.
Prerequisites: MATH UN1102 and MATH UN1201 , or their equivalents. Introduction to mathematical methods in pricing of options, futures and other derivative securities, risk management, portfolio management and investment strategies with an emphasis of both theoretical and practical aspects. Topics include: Arithmetic and Geometric Brownian ,motion processes, Black-Scholes partial differential equation, Black-Scholes option pricing formula, Ornstein-Uhlenbeck processes, volatility models, risk models, value-at-risk and conditional value-at-risk, portfolio construction and optimization methods.
This interdisciplinary course, taken in the fall semester, is a comprehensive introduction to quantitative research in the social sciences. The course focuses on foundational ideas of social science research, including strengths and weaknesses of different research designs, interpretation of data drawn from contemporary and historical contexts, and strategies for evaluating evidence. The majority of the course is comprised of two-week units examining particular research designs, with a set of scholarly articles that utilize that design. Topics include: the “science” of social science and the role of statistical models, causality and causal inference, concepts and measurement, understanding human decision making, randomization and experimental methods, observation and quasi-experimentation, sampling, survey research, and working with archival data.
Prerequisites: One semester of undergraduate statistics The data analysis course covers specific statistical tools used in social science research using the statistical program R. Topics to be covered include statistical data structures, and basic descriptives, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, models for binary outcomes, naive Bayes classifiers, models for ordered data, models for nominal data, first difference analysis, factor analysis, and a review of models that build upon OLS. Prerequisite: introductory statistics course that includes linear regression. There is a statistical computer lab session with this course: QMSS G4017 -001 -DATA ANALYSIS FOR SOC SCI
This course will introduce students to the main concepts and methods behind regression analysis of temporal processes and highlight the benefits and limitations of using temporally ordered data. Students study the complementary areas of time series data and longitudinal (or panel) data. There are no formal prerequisites for the course, but a solid understanding of the mechanics and interpretation of OLS regression will be assumed (we will briefly review it at the beginning of the course). Topics to be covered include regression with panel data, probit and logit regression of pooled cross-sectional data, difference-in-difference models, time series regression, dynamic causal effects, vector autoregressions, cointegration, and GARCH models. Statistical computing will be carried out in R.
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
This course is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from private, government, and non-profit settings. QMSS students participate in a weekly seminar. Speakers include faculty from Columbia and other universities, and researchers from the numerous corporate, government, and non-profit settings where quantitative research tools are used. Topics have included: Now-Casting and the Real-Time Data-Flow; Art, Design - Science in Data Visualization; Educational Attainment and School Desegregation: Evidence from Randomized Lotteries; Practical Data Science: North American Oil and Gas Drilling Data.
This course has two goals. One, it is designed to expose students in the QMSS degree program to different methods and practices of social science research. Seminar presentations are given on a wide range of topics by faculty from Columbia and other New York City universities, as well as researchers from other settings. Two, it is also designed to give students important professional development skills, particularly around academic writing, research methods and job skills.
Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Prerequisites: some familiarity with the basic principles of partial differential equations, probability and stochastic processes, and of mathematical finance as provided, e.g. in MATH W5010. Review of the basic numerical methods for partial differential equations, variational inequalities and free-boundary problems. Numerical methods for solving stochastic differential equations; random number generation, Monte Carlo techniques for evaluating path-integrals, numerical techniques for the valuation of American, path-dependent and barrier options.
This seminar offers participants the opportunity to listen to practitioners discuss a range of important topics in the financial industry. Topics may include portfolio optimization, exotic derivatives, high frequency analysis of data and numerical methods. While most talks require knowledge of mathematical methods in finance, some talks are accessible to a more general audience.
This course gives students two credits of academic credit for the work they perform in such an social science oriented internships.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
This practicum will mimic the typical conditions that students would face in an internship in a
large data-intense institution. The practicum will focus on four core elements involved in most
internships:
• developing the intuition and skills to properly scope ambiguous project ideas;
• practicing organizing and accessing a variety of large-scale data sources and formats;
• conducting basic and advanced analysis of big data; and
• communicating and “productizing” results and findings from the earlier steps, in things
like dashboards, reports, interactive graphics, or apps.
The practicum will also give students time to reflect on their work, and how it would best
translate into corporate, non-profit, start-up and other contexts.
Students enrolled in the Quantitative Methods in the Social Sciences M.A. program have a number of opportunities for internships with various organizations in New York City. Over the past three years, representatives from a number of different organizations – including ABC News, Pfizer, the Manhattan Psychiatric Center, Merrill Lynch, and the Robert Wood Johnson Foundation – have approached students and faculty in QMSS about the possibility of having QMSS students work as interns. Many of these internships require students to receive some sort of course credit for their work. All internships will be graded on a pass/fail basis.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
The class is roughly divided into three parts: 1) programming best practices and exploratory data analysis (EDA); 2) supervised learning including regression and classification methods and 3) unsupervised learning and clustering methods. In the first part of the course we will focus writing R programs in the context of simulations, data wrangling, and EDA. Supervised learning deals with prediction problems where the outcome variable is known such as predicting a price of a house in a certain neighborhood or an outcome of a congressional race. The section on unsupervised learning is focused on problems where the outcome variable is not known and the goal of the analysis is to find hidden structure in data such as different market segments from buying patterns or human population structure from genetics data.
Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.
Prerequisites: Undergraduate Statistics This course introduces students to basic spatial analytic skills. It covers introductory concepts and tools in Geographic Information Systems (GIS) and database management. As well, the course introduces students to the process of developing and writing an original spatial research project. Topics to be covered include: social theories involving space, place and reflexive relationships; social demography concepts and databases; visualizing social data using geographic information systems; exploratory spatial data analysis of social data and spatially weighted regression models, spatial regression models of social data, and space-time models. Use of open-source software (primarily the R software package) will be taught as well.
This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. (It should also give students a flavor of what would be expected of them in a typical data science interview.) Each week will have simple, moderate and complex examples in class, with code to follow. Students will then practice additional exercises at home. The end point of each project would be to get the data organized and cleaned enough so that it is in a data-frame, ready for subsequent analysis and graphing. Therefore, no analysis or visualization (beyond just basic tables and plots to make sure everything was correctly organized) will be taught; and this will free up substantial time for the “nitty-gritty” of all of this data wrangling.
Prerequisites: basic probability and statistics, basic linear algebra, and calculus This course will provide a comprehensive overview of machine learning as it is applied in a number of domains. Comparisons and contrasts will be drawn between this machine learning approach and more traditional regression-based approaches used in the social sciences. Emphasis will also be placed on opportunities to synthesize these two approaches. The course will start with an introduction to Python, the scikit-learn package and GitHub. After that, there will be some discussion of data exploration, visualization in matplotlib, preprocessing, feature engineering, variable imputation, and feature selection. Supervised learning methods will be considered, including OLS models, linear models for classification, support vector machines, decision trees and random forests, and gradient boosting. Calibration, model evaluation and strategies for dealing with imbalanced datasets, n on-negative matrix factorization, and outlier detection will be considered next. This will be followed by unsupervised techniques: PCA, discriminant analysis, manifold learning, clustering, mixture models, cluster evaluation. Lastly, we will consider neural networks, convolutional neural networks for image classification and recurrent neural networks. This course will primarily us Python. Previous programming experience will be helpful but not requisite. Prerequisites: basic probability and statistics, basic linear algebra, and calculus.
Machine learning algorithms continue to advance in their capacity to predict outcomes and rival human judgment in a variety of settings. This course is designed to offer insight into advanced machine learning models, including Deep Learning, Recurrent Neural Networks, Adversarial Neural Networks, Time Series models and others. Students are expected to have familiarity with using Python, the scikit-learn package, and github. The other half of the course will be devoted to students working in key substantive areas, where advanced machine learning will prove helpful -- areas like computer vision and images, text and natural language processing, and tabular data. Students will be tasked to develop team projects in these areas and they will develop a public portfolio of three (or four) meaningful projects. By the end of the course, students will be able to show their work by launching their models in live REST APIs and web-applications.
This course examines the relationship between colonialism, settlement and anthropology and the specific ways in which these processes have been engaged in the broader literature and locally in North America. We aim to understand colonialism as a theory of political legitimacy, as a set of governmental practices and as a subject of inquiry. Thus, we will re-imagine North America in light of the colonial project and its technologies of rule such as education, law and policy that worked to transform Indigenous notions of gender, property and territory. Our case studies will dwell in several specific areas of inquiry, among them: the Indian Act in Canada and its transformations of gender relations, governance and property; the residential and boarding school systems in the US and Canada, the murdered and missing women in Juarez and Canada and the politics of allotment in the US. Although this course will be comparative in scope, it will be grounded heavily within the literature from Native North America.
This 3-credit core course in the M.S. in Technology Management program provides an overview of the strategic role of the technology function to improve business processes, drive transformations, and fuel innovation. Through lectures and applied case study work, students will learn how to develop and keep technology strategies aligned with business goals, navigate governance, regulatory, and budgetary frameworks, and evaluate risks to protect the organization’s IT investments.
Prerequisites: at least four semesters of Latin, or the equivalent. Intensive review of Latin syntax with translation of English sentences and paragraphs into Latin.
Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.
Prerequisites: Knowledge of statistics basics and programming skills in any programming language. Surveys the field of quantitative investment strategies from a buy side perspective, through the eyes of portfolio managers, analysts and investors. Financial modeling there often involves avoiding complexity in favor of simplicity and practical compromise. All necessary material scattered in finance, computer science and statistics is combined into a project-based curriculum, which give students hands-on experience to solve real world problems in portfolio management. Students will work with market and historical data to develop and test trading and risk management strategies. Programming projects are required to complete this course.
Risk/return tradeoff, diversification and their role in the modern portfolio theory, their consequences for asset allocation, portfilio optimization. Capitol Asset Pricing Model, Modern Portfolio Theory, Factor Models, Equities Valuation, definition and treatment of futures, options and fixed income securities will be covered.
The hedge fund industry has continued to grow after the financial crisis, and hedge funds are increasingly important as an investable asset class for institutional investors as well as wealthy individuals. This course will cover hedge funds from the point of view of portfolio managers and investors. We will analyze a number of hedge fund trading strategies, including fixed income arbitrage, global macro, and various equities strategies, with a strong focus on quantitative strategies. We distinguish hedge fund managers from other asset managers, and discuss issues such as fees and incentives, liquidity, performance evaluation, and risk management. We also discuss career development in the hedge fund context.
Ethical questions about museum activities are legion, yet they are usually only discussed when they become headlines in newspapers. At the same time, people working in museums make decisions with ethical and legal issues regularly and seldom give these judgments even little thought. In part, this is due to the fact that many of these decisions are based upon values that become second nature. This course will explore ethical issues that arise in all areas of a museum's operations from governance and management to collections acquisition, conservation, and deaccessioning. We will examine the issues that arise when the ownership of objects in a museum's are questioned; the ethical considerations involved in retention, restitution and repatriation; and what decolonization means for museums.
Review of types of insurance risk, such as pricing risk, underwriting risk, reserving risk, etc. Includes case studies, risk quantification methods (e.g., market-consistent economic capital models, dynamic financial analysis (DFA) models, catastrophe models, etc.), and common mitigation techniques, such as asset-liability management (ALM), reinsurance, etc. Also addresses traditional risk management at insurance companies and ERM actuarial standards of practice (ASOPs).