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
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• 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

INDEPENDENT STUDY-GRADUATE

• Department: African American and African Diaspora
• Instructor: Brandi Summers
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• Instructor: Kellie Jones
  CULPA: 3 Wikipedia Info
• Instructor: Farah Griffin
  CULPA: 10 Wikipedia Info
• Instructor: Edwidge Danticat
  Wikipedia Info
• Instructor: Rachel Grace Newman
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• Instructor: Jafari S Allen
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• Instructor: Nyle Fort
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• 1-4 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
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• 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

MASTERS SEMINAR

Prerequisites: Departments permission. This course (required for all first-year graduate students in the English Department) introduces students to scholarly methodologies in the study of literature and culture. The Masters Seminar operates in tandem with the Masters Colloquium ENGL G5005, and requires short writing assignments over the course of the semester and extensive in-class participation. There are two sections of this course.

• Department: English and Comparative Literature
• M 4:10 p.m.-6 p.m.
• M 2:10 p.m.-4 p.m.
• Instructor: Alan Stewart
  CULPA: 14 h-index: 13 Info
• Instructor: Jennifer Wenzel
  CULPA: 3 h-index: 15 Info
• 4 points

Evidence Based Dentistry

• Department: Dental and Oral Surgery
• 0 points

INTRODUCTION TO FINANCE

Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.

• 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

Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.

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

OPTIONS AND FUTURES

The course seeks to familiarize students with the basic derivatives (futures and options contracts).  Both have played a role in the markets for many-many years (before the emergence of modern derivative markets in the 70s).  Following the beginning of standardization at CBOE (1973) we have witnessed a dramatic growth in options markets and options are now traded on many exchanges around the world (CBOE, PHLX, NYSE etc.) Huge volumes of options are also traded over the counter (OTC), particularly on foreign exchange and interest rates.  Many options are traded daily in the markets on a wide array of underlying assets from commodities to financial instruments (stocks, bonds, indexes, currencies, futures etc.) to… weather! The appearance of exotic options has driven volumes even higher in the OTC market providing investors with even wider possibilities for customizing risks borne and hedging against risks.

• 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

Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Melissa Hall
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• 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

STRATEGIC STORYTELLER

The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice.  By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.

• Department: Strategic Communication
• R 10:10 a.m.-noon
• 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

STRATEGIC COMMUNICATION MANAGEMENT

STRATEGIC COMMUNICATION MGMT

This course examines the strategic role for communication in driving organizational outcomes. It covers key aspects of communication management, including how to plan, implement and measure strategic communication initiatives. Students learn to assess organizational needs, identify stakeholders and draft messaging that speaks credibly to a variety of constituencies, both internal and external. We also emphasize fundamental business skills, such as interpreting financial reports and understanding the language of business.

• Department: Strategic Communication
• W 10:10 a.m.-noon
• W 12:10 p.m.-2 p.m.
• W 10:10 a.m.-noon
• 3 points

STRATEGIC COMMUNICATION MANAGEMENT

STRATEGIC COMMUNICATION MGMT

This course examines the strategic role for communication in driving organizational outcomes. It covers key aspects of communication management, including how to plan, implement and measure strategic communication initiatives. Students learn to assess organizational needs, identify stakeholders and draft messaging that speaks credibly to a variety of constituencies, both internal and external. We also emphasize fundamental business skills, such as interpreting financial reports and understanding the language of business.

• Department: Strategic Communication
• W 10:10 a.m.-noon
• W 4:10 p.m.-6 p.m.
• R 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• 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

Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.

• 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

THE COMPELLING COMMUNICATOR

The ability to communicate effectively is a key competency for professionals. As emerging industry leaders, understanding the audience, framing the message, and using media channels to achieve specified objectives are critical skills, whether written or spoken. Through a variety of written and oral assignments, students learn to apply foundational communication theory to inform and engage stakeholders. The first part of the course focuses on written deliverables, emphasizing audience-framed messaging and developing simple, clear and persuasive content. The second part transitions to enhancing spoken delivery and presentation skills where students gain experience in speechwriting, storytelling and using data visualization to motivate an audience to act.

• Department: Strategic Communication
• T 10:10 a.m.-noon
• T 2:10 p.m.-4 p.m.
• T 10:10 a.m.-noon
• 3 points

THE COMPELLING COMMUNICATOR

The ability to communicate effectively is a key competency for professionals. As emerging industry leaders, understanding the audience, framing the message, and using media channels to achieve specified objectives are critical skills, whether written or spoken. Through a variety of written and oral assignments, students learn to apply foundational communication theory to inform and engage stakeholders. The first part of the course focuses on written deliverables, emphasizing audience-framed messaging and developing simple, clear and persuasive content. The second part transitions to enhancing spoken delivery and presentation skills where students gain experience in speechwriting, storytelling and using data visualization to motivate an audience to act.

• Department: Strategic Communication
• T 10:10 a.m.-noon
• R 4:10 p.m.-6 p.m.
• M 6:10 p.m.-8 p.m.
• 3 points

THE COMPELLING COMMUNICATOR

The ability to communicate effectively is a key competency for professionals. As emerging industry leaders, understanding the audience, framing the message, and using media channels to achieve specified objectives are critical skills, whether written or spoken. Through a variety of written and oral assignments, students learn to apply foundational communication theory to inform and engage stakeholders. The first part of the course focuses on written deliverables, emphasizing audience-framed messaging and developing simple, clear and persuasive content. The second part transitions to enhancing spoken delivery and presentation skills where students gain experience in speechwriting, storytelling and using data visualization to motivate an audience to act.

• Department: Strategic Communication
• M 6:10 p.m.-8 p.m.
• 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.
• Instructor: Mazen Asaad
  Info
• 3 points