INTRODUCTION TO SEISMOLOGY

• Department: Earth and Environmental Sciences
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Felix Waldhauser
  h-index: 37 Info
• 3 points

HUMAN RIGHTS & HUMAN WRONGS

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.

• Department: Institute for Study of Human Rights
• W 2:10 p.m.-4 p.m.
• Instructor: Bruce L Cronin
  CULPA: 13 Info
• 3 points

The Ottoman Empire: History and Legacies

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.

• Department: Middle Eastern, South Asian and African Studies
• M 4:10 p.m.-6 p.m.
• Instructor: Khatchig Mouradian
  Wikipedia Info
• 4 points

Gender-Based Violence & Human Rights

GENDER-BASED VIOL & HUM R

The term 'gendercide' highlights a range of distinct and specific forms of violence executed against human beings based on their own gender self-identification as well as patriarchal assumptions about their gender. In this course, we will examine research discerning, movements challenging, and the adjudication, and/or lack thereof, of Gender Based Violence (GBV) in several major categories traversing spatial, temporal, and ideological contexts, including: reproductive rights and health; trafficking and migration; and disaster and pandemics. It is critical to: interrogate the ideologies that drive and sustain GBV; examine in detail the harm it presents to human beings; explore what can be done to protect the security of those experiencing GBV; and to think about measures of prevention to guard additional human beings from experiencing it. The heart of the course will involve an intersectional analysis of specific case studies; highlighting the GBV associated with each case; examining the impact of GBV on human rights; and how GBV has been addressed in society. The close study of each case will assist students in illuminating intricacies, complexities, and challenges to human security in specific contexts.

• Department: Institute for Study of Human Rights
• W 2:10 p.m.-4 p.m.
• Instructor: Julie Rajan
  Info
• 3 points

Refugees, Citizenship, Migration

Refugees Citizenship Migr

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.

• Department: Institute for Study of Human Rights
• M 10:10 a.m.-noon
• Instructor: Shourideh Molavi
  Info
• 3 points

Queer Theory

This course surveys the relationship between sociology as a discipline and the body of thought, action and critique that coheres under the term queer theory. Many people understand these two projects to be constitutionally at odds. Sociology as a discipline concerns itself with the empirical study of, as Norbert Elias wrote, “the problem of human societies.” How we do this is distinct. Sociologists have a defined set of technical skills that make use of social categories and classifications. We organize individuals by behavior and identity, document diverse cultural milieus, and even attempt to quantify the demographic details of sexual identities, practices and communities. Queer theory, on the other hand, emerged as a field of academic thought in the early 1990’s, at the apex of the HIV/AIDS epidemic. The urgency of the political moment demanded new analytical tools for thinking about gender, sexuality, medicine and bodies. Queer theorists took to task the restrictive categories of gender and sexual life that relegated gay men and lesbians to sociological studies of “deviant” people and practices, in favor of rich and pointed critiques of the organization of culture, institutions and politics that renders some people and practices deviant in the first place. Queer theorists document their suspicion of methods, of categories, and of knowledge practices themselves. Social science is often the target of such critiques.

 

So, is there actually a way to do something we might call queer sociology? Or is it, fundamentally, an oxymoron? As what we think of as data becomes “bigger” and ever more categorically precise, what use has sociology for queer theory? How can a body of thought that operates from an anti-categorical impulse inform empirical work that seeks, at least in some part, to identify and observe particular types of people and particular forms of social life? In this course, we will read a set of foundational texts in the queer theoretical tradition alongside sociology that makes use of queer phenomena, frameworks and world-making projects. Expect to cover topics like ephemera, ghosts, messy affect, political lesbianism, perversion and a variety of other things you don’t typically see on a sociology syllabus. Each week, we will survey a select set of orienting ideas from queer theory–the heterosexual matrix, heteronormativity, antidisciplinarity, and homonormativity–and examine the ways in which sociologists of sexuality aim

• Department: Sociology
• T 10:10 a.m.-noon
• Instructor: Tey Meadow
  h-index: 8 Info
• 4 points

Hum Rights, Activism & US Carceral State

HRs Activism US Carceral

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.

• Department: Institute for Study of Human Rights
• R 6:10 p.m.-8 p.m.
• Instructor: Christia Mercer
  CULPA: 56 Wikipedia Info
• 3 points

ADVANCED MASTER'S RESEARCH

Research Course for Master's Students. Students must be nominated by a faculty member. The research credits may not be counted towards the credits required for the Master’s degree.

• Department: Engineering
• Instructor: Alexis R Moore
  Info
• 0-6 points

Topics in Jewish Studies

This course approaches Jewish Studies from theoretical and pedagogical standpoints. In addition to looking back at ancient, medieval and Early Modern approaches to the study of Jewish topics and examining the theoretical, historical and religious underpinnings of Jewish Studies as a modern discipline, we will also read theoretical writings from related disciplines. The course will balance these materials with pedagogical materials and exercises. Faculty from disciplines related to Jewish Studies will visit the seminar to offer perspectives on current approaches to the field, and the class will visit the Rare Book and Manuscript Library with Jewish Studies Librarian Michelle Chesner. This course is required for students in the Jewish Studies MA program. It is open to graduate students, and advanced undergraduates may register with permission from the instructor. Please note that faculty visits will be added to the syllabus as they are scheduled.

• Department: Institute for Israel & Jewish Studies
• R 12:10 p.m.-2 p.m.
• Instructor: Isabelle C Levy
  CULPA: 5 Info
• 4 points

RELIGION AND THE INDIAN WARS

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.

• Department: Religion @Barnard
• R 12:10 p.m.-2 p.m.
• Instructor: Tiffany Hale
  CULPA: 4 Info
• 4 points

FIELDWORK

Only for BMEN graduate students who need relevant work experience as part of their program of study. Final reports required. May not be taken for pass/fail credit or audited.

• Department: Biomedical Engineering
• Instructor: Clark T Hung
  CULPA: 5 h-index: 65 Info
• 1-2 points

FIELDWORK

• Department: Chemical Engineering
• Instructor: Christopher S Chen
  Info
• 1-3 points

GLOBAL INDIGENOUS RELIGIOUS HISTORIES

GLOBAL INDIGENOUS RELIG H

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.

• Department: Religion @Barnard
• W 10:10 a.m.-noon
• Instructor: Tiffany Hale
  CULPA: 4 Info
• 4 points

MA THESIS

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.

• Department: Classics
• Instructor: Elizabeth K Irwin
  CULPA: 7 Info
• 4 points

INTRO TO AMERICAN STUDIES

This course explores the set of possibilities presented by American Studies as a comparative field of study. We begin with a brief overview of the history of the field, and then we’ll focus primarily on the range of modes in which its interdisciplinary work has been undertaken (literary, historical, legal, digital, etc.). The idea here is not to arrive a comprehensive picture of American Studies, but to think about the many ways people have produced knowledge under its aegis. We will also focus on work by Columbia faculty, and sessions of the course are built around visits by faculty in the field to Columbia’s University Seminar in American Studies. Our guiding questions include: How does one do research in a multimedia, “cultural” environment? How does one situate oneself as an “intellectual” or “critic” in relation to one’s object of study? How does one write about different media/genres? How does one incorporate different methodologies into one research project?

• Department: Ethnicity and Race, Center for
• M 2:10 p.m.-4 p.m.
• Instructor: Matthew Sandler
  CULPA: 1 Info
• 3 points

WORKPLACE COMMUNICATION IN ENGLISH

WORKPLACE COMM IN ENGLISH

English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.

• Department: Engineering
• MWF 7:50 p.m.-9:30 p.m.
• MWF 8 a.m.-9:40 a.m.
• MWF 10 a.m.-11:40 a.m.
• T 10 a.m.-11:40 a.m.
• W 1:10 p.m.-2:50 p.m.
• R 1:10 p.m.-2:50 p.m.
• R 3 p.m.-4:40 p.m.
• F 11 a.m.-12:40 p.m.
• S 10:20 a.m.-noon
• Instructor: Hyoseon Lee
  Info
• 0 points

RES SKILLS/MTHDS-INT/WRLD HIST

In the first semester a series of workshops will introduce the field of international history and various research skills and methods such as conceptualization of research projects and use of oral sources. The fall sessions will also show the digital resources available at Columbia and how students can deploy them in their individual projects. In the second semester students will apply the skills acquired in the fall as they develop their proposal for the Master's thesis, which is to be completed next year at the LSE. The proposal identifies a significant historical question, the relevant primary and secondary sources, an appropriate methodology, what preliminary research has been done and what remains to be done. Students will present their work-in-progress.

• Department: History
• F 12:10 p.m.-2 p.m.
• Instructor: Line Lillevik
  Info
• 1 points

THEORY AND METHODS I

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.

• Department: Middle Eastern, South Asian and African Studies
• M 4:10 p.m.-6 p.m.
• Instructor: Wael Hallaq
  CULPA: 9 Wikipedia Info
• 4 points

PROFESSIONAL PRESENTATION

• Department: Engineering
• T 1:10 p.m.-2:50 p.m.
• T 3 p.m.-4:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

Evidence Based Dentistry

• Department: Dental and Oral Surgery
• 0 points

INTRODUCTION TO FINANCE

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Eleni Vrana
  Info
• 3 points

PROFESSIONAL COMMUNICATION IN ENGLISH

PROFESSIONAL COMM IN ENGL

• Department: Engineering
• W 3 p.m.-4:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

ACADEMIC WRITING

• Department: Engineering
• R 11 a.m.-12:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

FNDN EXCELLENCE DENTAL PRACTICE I

• Department: Dental and Oral Surgery
• 0 points

CORPORATE FINANCE

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: John D Van Ness
  Info
• 3 points

OPTIONS AND FUTURES

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Ted Jastrzebski
  Info
• 3 points

INDEPENDENT STUDY

• Department: Engineering
• T 4:50 p.m.-6:30 p.m.
• Instructor: Hyoseon Lee
  Info
• 0 points

FINANCIAL ACCOUNTING

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Melissa Hall
  Info
• Instructor: Rebecca Shaffer
  Info
• 3 points

GRADUATE RESEARCH COLLOQUIUM

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.

• Department: Classics
• F 2:10 p.m.-4 p.m.
• TF 4:10 p.m.-6 p.m.
• Instructor: Paraskevi Martzavou
  CULPA: 2 Info
• Instructor: Katharina Volk
  CULPA: 7 Info
• 2 points

INTRO TO THE MATH OF FINANCE

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.

• Department: Mathematics
• MW 7:40 p.m.-8:55 p.m.
• Instructor: Mikhail Smirnov
  CULPA: 16 Info
• 3 points

QUANT THRY/METHODOLOGY-SOC SCI

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.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• F 10:10 a.m.-noon
• W 4:10 p.m.-6 p.m.
• T 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• M 2:10 p.m.-4 p.m.
• Instructor: Maiko Yomogida
  Info
• Instructor: Jingyan Yang
  h-index: 19 Info
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• Instructor: Mike Z He
  Info
• Instructor: Kenneth Grossberger
  Info
• Instructor: Gregory A Kossinets
  Info
• Instructor: Emma Sacks
  Info
• 3 points

DATA ANALYSIS FOR THE SOCIAL SCIENCES

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

• Department: Quantitative Methods/Social Sciences
• F 12:10 p.m.-2 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

FIFTH YEAR JAPANESE I

Prerequisites: Students must meet with the instructor prior to taking the course. This course is intended to help students increase their ability level in the four core language skills (reading, writing, listening, and speaking) from advanced to super-advanced. It serves as a bridge between mastering the overall Japanese language and using it for analysis, research, and literary criticism. This is a mandatory course for Ph.D students in Japanese Studies.

• Department: East Asian Languages and Cultures
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Miharu Nittono
  CULPA: 10 Info
• 4 points

TIME SERIES, PANEL DATA & FORECASTING

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.

• Department: Quantitative Methods/Social Sciences
• M 10:10 a.m.-noon
• R 10:10 a.m.-noon
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI I

RES SEMINAR I

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.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI I

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.

• Department: Quantitative Methods/Social Sciences
• R 6:10 p.m.-8 p.m.
• Instructor: Sandhya Kajeepeta
  Info
• 3 points

DEVELOPMENTAL BIOLOGY

• Department: Biological Sciences
• TR 1:10 p.m.-2:25 p.m.
• Instructor: Alice Heicklen
  CULPA: 15 Info
• 3 points

RES SEM IN QUANT MTHS-SOC SCI II

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.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• Instructor: Sandhya Kajeepeta
  Info
• 3 points

NUMERICAL METHODS IN FINANCE

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.

• Department: Mathematics
• M 6:10 p.m.-8:40 p.m.
• 3 points

HLTH PROM/DISEASE PREVNT CLRKSHIP I

• Department: Dental and Oral Surgery
• Instructor: Folarin Odusola
  h-index: 5 Info
• 0 points

PHYSICAL DIAGNOSIS

• Department: Dental and Oral Surgery
• 0 points

American Film: Comedy

TPCS IN AMER CINEMA

Grad section for FILM UN 2190 Topics in American Cinema.  

This course surveys the American film genre known as film noir, focusing primarily on the genre’s heyday in the 1940s and early 1950s, taking into account some of its antecedents in the hard-boiled detective novel, German Expressionism, and the gangster film, among other sources. We will consider a number of critical and theoretical approaches to the genre, and will also study a number of film noir adaptations and their literary sources.

• Department: Film
• R 10:10 a.m.-12:55 p.m.
• Instructor: Robert King
  CULPA: 7 Info
• 3 points

SECURITY ANALYSIS

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Panos Mourdoukoutas
  Wikipedia Info
• 3 points

CELL BIOLOGY

• Department: Biological Sciences
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Erin L Barnhart
  Info
• 3 points

MATH FINANCE PRACTITIONERS SEMINAR I

MATH FINANCE PRACTITION S

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.

• Department: Mathematics
• W 6:10 p.m.-7:25 p.m.
• Instructor: Jaehyuk Choi
  Info
• 1.5 points

INTERNSHIP IN SOCIAL RESEARCH

This course gives students two credits of academic credit for the work they perform in such an social science oriented internships.

• Department: Quantitative Methods/Social Sciences
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 1 points

INTERNSHIP IN SOCIAL RESEARCH II

INTERNSHIP IN SOCIAL RSRC

• Department: Quantitative Methods/Social Sciences
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 1 points

SOCIOLOGICAL THEORY

This course emphasizes the perspectives of foundational thinkers on the evolution and dynamics of social life. Readings address key sociological questions; including the configuration of communities, social control, institutions, exchange, interaction, and culture.

• Department: Sociology
• W 2:10 p.m.-4 p.m.
• Instructor: Peter Bearman
  CULPA: 19 Wikipedia h-index: 54 Info
• 4 points

PRACTICUM IN DATA ANALYSIS

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.

• Department: Quantitative Methods/Social Sciences
• T 4:10 p.m.-6 p.m.
• Instructor: Nicole C Dicrecchio
  Info
• 3 points

PRACTICUM IN DATA ANALYSIS II

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.

• Department: Quantitative Methods/Social Sciences
• T 4:10 p.m.-6 p.m.
• Instructor: Nicole C Dicrecchio
  Info
• 3 points

INTERNSHIP IN SOCIAL III

INTERNSHP III

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.

• Department: Quantitative Methods/Social Sciences
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 1 points

PRACTICUM IN DATA ANALYSIS

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.

• Department: Quantitative Methods/Social Sciences
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Charles R Riemann
  Info
• 3 points

PRACTICUM IN DATA ANALYSIS

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.

• Department: Quantitative Methods/Social Sciences
• T 6:10 p.m.-8 p.m.
• Instructor: Charles R Riemann
  Info
• 3 points

DATA MINING FOR SOCIAL SCIENCE

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.

• Department: Quantitative Methods/Social Sciences
• 4 points

PROSEMINAR I

The Proseminar fulfills two separate goals within the Free-Standing Masters Program in Sociology. The first is to provide exposure, training, and support specific to the needs of Masters students preparing to move on to further graduate training or the job market. The second goal is to provide a forum for scholars and others working in qualitative reserach, public sociology, and the urban environment.

• Department: Sociology
• F 2:10 p.m.-4 p.m.
• 1 points

FIELD WORK I

This two-semester sequence supports students through the process of finding a fieldwork site, beginning the field work required to plan for and develop a Masters thesis, and the completion of their Masters thesis.

• Department: Sociology
• F 4:10 p.m.-6 p.m.
• 1 points

THESIS SEMINAR I

This seminar gives you an opportunity to do original sociological research with the support of a faculty member, a teaching assistant, and your fellow classmates.

• Department: Sociology
• T 2:10 p.m.-4 p.m.
• R 4:10 p.m.-6 p.m.
• Instructor: Adam Reich
  CULPA: 7 Info
• 3 points

NATURAL LANG PROCESSING SOCIAL SCIENCES

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.

• Department: Quantitative Methods/Social Sciences
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Patrick Houlihan
  Info
• 3 points

GIS & SPATIAL ANALYSIS-SOC SCI

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.

• Department: Quantitative Methods/Social Sciences
• T 12:10 p.m.-2 p.m.
• Instructor: Edwin Y Grimsley
  Info
• 3 points

MODERN DATA STRUCTURES

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.

• Department: Quantitative Methods/Social Sciences
• W 6:10 p.m.-8 p.m.
• Instructor: Thomas Brambor
  h-index: 9 Info
• 3 points

MACHINE LEARNING SOC SCI

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.

• Department: Quantitative Methods/Social Sciences
• T 6:10 p.m.-8 p.m.
• F 2:10 p.m.-4 p.m.
• Instructor: Mazen Asaad
  Info
• Instructor: Kyle Horn
  Info
• 3 points

PROJECTS IN ADVANCED MACHINE LEARNING

ADV MACHINE LEARNING

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.

• Department: Quantitative Methods/Social Sciences
• R 6:10 p.m.-8 p.m.
• Instructor: Alexander Peterhansl
  Info
• 3 points

VALUE-BASED ENTERPRISE RISK MANAGEMENT

VALUE-BASED ERM

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Duncan Campbell
  Info
• Instructor: David A. Bartholomew
  Info
• 3 points

INTRODUCTION TO HUMAN CAPITAL MANAGEMENT

• Department: Human Capital Management
• 3 points

Histology & Pathology

• Department: Dental and Oral Surgery
• 0 points

PSYCHIATRIC MEDICINE

• Department: Dental and Oral Surgery
• 0 points

Molecular Mechanisms

MOLECULAR MECHANISM HLTH/DISEA

• Department: Dental and Oral Surgery
• Instructor: Jonathan M Barasch
  Info
• 0 points

CLINICAL GROSS ANATOMY

• Department: Dental and Oral Surgery
• 0 points

THE BODY IN HEALTH & DISEASE I

• Department: Dental and Oral Surgery
• 0 points

Settler Colonialism

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.

• Department: Anthropology
• F 12:10 p.m.-2 p.m.
• Instructor: Audra Simpson
  CULPA: 5 Wikipedia Info
• 4 points

Essentials for Technology Management and

Essentials for Tech Mgmt.

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.

• Department: Technology Management
• Instructor: Shahryar Shaghaghi
  Info
• 3 points

ELEMENTS LATIN PROSE STYLE

Prerequisites: at least four semesters of Latin, or the equivalent. Intensive review of Latin syntax with translation of English sentences and paragraphs into Latin.

• Department: Classics @Barnard
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Kristina Milnor
  CULPA: 21 Wikipedia h-index: 10 Info
• 4 points

WORKSHOP ON POPULATION ORAL HEALTH

WRKSHP ON POPULATION ORAL HLTH

• Department: Dental and Oral Surgery
• 0 points

TRADITIONAL ERM PRACTICES

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: H.S. Bob Kostakopoulos
  Info
• Instructor: Marianna Belyavskiy
  Info
• 3 points