MACROECONOMIC ANALYSIS I-DISC

Corequisites: ECON G5215 Discussion Section for Economics MA Course Macroeconomics Analysis I.

• Department: Economics
• M 2:30 p.m.-4 p.m.
• F 10 a.m.-11:30 a.m.
• Instructor: Susannah Scanlan
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• Instructor: Akshat S Gautam
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• 0 points

PROFESSIONAL COMMUNICATION IN ENGLISH

PROFESSIONAL COMM IN ENGL

• Department: Engineering
• T 1 p.m.-2:40 p.m.
• Instructor: Hyoseon Lee
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• 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: School of Professional Studies (DVSP)
• F 2:10 p.m.-4 p.m.
• T 8:10 p.m.-10 p.m.
• F 2:10 p.m.-4 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: John D Van Ness
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• Instructor: Kevin Sweeney
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• Instructor: John D Van Ness
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• Instructor: Kevin Sweeney
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• 3 points

ECONOMETRICS I-DISCUSSION

Corequisites: ECON G5411 Discussion Section for Economics MA Course Econometrics I.

• Department: Economics
• F 2 p.m.-3:30 p.m.
• F noon-1:30 p.m.
• Instructor: Gabriel Gonzalez Sutil
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• Instructor: Martsella Davitaya
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• 0 points

ACADEMIC WRITING

• Department: Engineering
• S 9 a.m.-10:40 a.m.
• Instructor: Hyoseon Lee
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• 0 points

FNDN EXCELLENCE DENTAL PRACTICE I

• Department: Dental and Oral Surgery
• 0 points

MATH METHODS FOR ECONOMISTS-DISC

Corequisites: ECON GR5410 Discussion Section for Economics MA Course Math Methods for Economists.

• Department: Economics
• M 4:10 p.m.-5:40 p.m.
• T 12:10 p.m.-1:40 p.m.
• Instructor: Aris Valasiou
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• Instructor: Cesar Barilla
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• 0 points

INTRO-STAT-ECOLOGY & EVOL BIOL

Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended. An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.

• Department: Ecology, Evolution, and Environmental Biology
• M 6:10 p.m.-7:25 p.m.
• Instructor: Steffen Foerster
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• 3 points

OPTIONS AND FUTURES

• Department: School of Professional Studies (DVSP)
• W 6:10 p.m.-8 p.m.
• Instructor: Christos I Giannikos
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• 3 points

OPTIONS AND FUTURES

• Department: Auditing
• W 6:10 p.m.-8 p.m.
• Instructor: Christos I Giannikos
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• 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: School of Professional Studies (DVSP)
• T 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Marc Blatter
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• Instructor: Benedict O Okoh
  CULPA: 1 Info
• Instructor: Marc Blatter
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• Instructor: Rebecca Shaffer
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• Instructor: Benedict O Okoh
  CULPA: 1 Info
• Instructor: Rebecca Shaffer
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• 3 points

INDEPENDENT STUDY

• Department: Engineering
• Instructor: Hyoseon Lee
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• 0 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

Students will gain an overview of major concepts of management and organization theory, concentrating on understanding human behavior in organizational contexts, with heavy emphasis on the application of concepts to solve managerial problems. By the end of this course students will have developed the skills to motivate employees, establish professional interpersonal relationships, take a leadership role, and conduct performance appraisal.

• Department: School of Professional Studies (DVSP)
• F 12:10 p.m.-2 p.m.
• T 8:10 p.m.-10 p.m.
• F 12:10 p.m.-2 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Jacqueline Strayer
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• Instructor: John Bockstoce
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• Instructor: Jacqueline Strayer
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• Instructor: John Bockstoce
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• 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 4:10 p.m.-6 p.m.
• Instructor: Joseph A Howley
  CULPA: 7 Info
• 2 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

MNG HUMAN BEHAVIOR IN THE

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Carol Russo
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• Instructor: Patti Ippoliti
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• 3 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 4:10 p.m.-6 p.m.
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• T 4:10 p.m.-6 p.m.
• M 10:10 a.m.-noon
• Instructor: Mike Z He
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• Instructor: Jingyan Yang
  h-index: 19 Info
• Instructor: Marco A Morales Barba
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• Instructor: Nicole C Dicrecchio
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• Instructor: Marco A Morales Barba
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• 3 points

CLIMATE SCI FOR DEC MAK: MOD, ANL & AP

MODELING ANALYSIS AND APPLS

Both human and natural systems are growing more vulnerable to climate variability (e.g., the anomalous weather induced by the El Nino-Southern Oscillation, or the increase in hurricanes that occurs when ocean currents warm the Atlantic) and to human-induced climate change, which manifests itself primarily through increases in temperature, precipitation intensity, and sea level, but which can potentially affect all aspects of the global climate. This course will prepare you to estimate climate hazards in your field thereby accelerating the design and implementation of climate-smart, sustainable practices. Climate models are the primary tool for predicting global and regional climate variations, for assessing climate-related risks, and for guiding adaption to climate variability and change. Thus, a basic understanding of the strengths and limitations of such tools is necessary to decision makers and professionals in technical fields. This course will provide a foundation in the dynamics of the physical climate system that underpin climate models and a full survey of what aspects of the climate system are well observed and understood and where quantitative uncertainties remain. Students will gain a fundamental understanding of the modeling design choices and approximations that distinguish Intergovernmental Panel on Climate Change (IPCC)-class climate models from weather forecasting models and that create a diversity of state-of-the-art climate models and climate projections. This course will provide an overview of the ways in which climate model output and observations can be merged into statistical models to support applications such as seasonal and decadal projections of climate extremes, global and regional climate impacts, and decision-making. Students will develop the skills to visualize, analyze, validate, and interpret climate model output, calculate impact-relevant indices such as duration of heat waves, severity of droughts, or probability of inundation, and the strategies to characterize strengths and uncertainties in projections of future climate change using ensembles of climate models and different emission scenarios.

• Department: Sustainability Technology
• R 6:10 p.m.-8 p.m.
• Instructor: Yutian Wu
  h-index: 15 Info
• 3 points

INTRO-STAT-ECOLGY/EVOL BIO-LAB

Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended. An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.

• Department: Ecology, Evolution, and Environmental Biology
• M 7:40 p.m.-8:55 p.m.
• W 7:40 p.m.-8:55 p.m.
• Instructor: Steffen Foerster
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• 0 points

CINEMA HIST II: 1930-1960

• Department: Film
• W 2:10 p.m.-4:55 p.m.
• Instructor: Richard A Pena
  CULPA: 16 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 11:10 a.m.-1 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

TIME SERIES PANEL DATA A

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
• F 9:10 a.m.-11 a.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

INTRODUCTION TO MARKETING

Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.

• Department: School of Professional Studies (DVSP)
• M 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Beth Hirschhorn
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• Instructor: Lauri Harrison
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• 3 points

CINEMA HIST III:1960-1990

• Department: Film
• R 2:10 p.m.-6 p.m.
• Instructor: Annette Insdorf
  CULPA: 10 Wikipedia Info
• 3 points

CLOSE READING: GIVING AND RECEIVING ACCO

CLOSE READING: GIVING + R

• Department: Narrative Medicine
• M 12:10 p.m.-3 p.m.
• T 6:10 p.m.-9 p.m.
• 4 points

PRED EFFCT CLIMATE CHNGE ON GLOB FORESTS

Forests are often called the lungs of the earth, for their role in converting atmospheric CO2 into the life-sustaining Oxygen that we all breathe. Collectively, the global forests contribute to roughly 40% of the annual global carbon sink, and yet little is known about the drivers of terrestrial carbon sequestration, and the processes involved in these systems response to changes in climate. Forested landscapes also comprise some of the most critical habitats on planet Earth, by serving as refuge to diverse and often endangered flora and fauna, and as regulators of water and soils. These services are particularly important for highland regions where forests are heavily exploited and are often the primary source of water and food for marginalized human populations. This course takes an in-depth look into the current, primary literature on the direct and indirect effects of climate change on forest ecosystems around the globe, and examines some of the primary policy solutions to forest loss mitigation and sustainability. Because the instructor is from the LDEO Tree Ring Lab there will be an emphasis on using dendrochronology for understanding changes in biomass for forest environments, with emphasis on the broadleaf forests of eastern North America and the largely coniferous, fire-prone forests of the American West. Students will have access to multiple sources of data, including satellite, forest inventory, tree rings and eddy-flux measurements. The course will have a field component that will take place at the Black Rock Forest (BRF), about two hours north of NYC. Students will conduct primary research for a final project, with the goal being to develop a set of group projects related to forests and climate change. This course will prepare students to assess the impacts of climate extremes on forest systems and to understand the complexities of response possibilities from diverse ecosystems. This course will combine lectures and assigned course readings to develop the framework for understanding global forest response to climate change. Each class will begin with a 5-question mini-quiz based upon the assigned readings and the previous lecture. This class will discuss the questions asked, techniques used and key findings of the papers, with discussions led by the students. The class includes a field trip to Black Rock Forest (dates TBD) where students will collect data for use in a class project, thereby providing the opportunity to develop skills in field research and data analysis.

• Department: Sustainability Technology
• R 6:10 p.m.-8 p.m.
• Instructor: Brendan Buckley
  h-index: 40 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 8:10 p.m.-10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 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

RES SEMINAR 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
• R 8:10 p.m.-10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 3 points

MARKETING STRATEGY

Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and a team based projects. By the end of this course you will be able to develop a marketing strategy based market assessments and company needs.

• Department: School of Professional Studies (DVSP)
• M 6:10 p.m.-8 p.m.
• Instructor: Sandy Becker
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• 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
• R 10:10 a.m.-noon
• R 6:10 p.m.-8 p.m.
• R 4:10 p.m.-6 p.m.
• R 2:10 p.m.-4 p.m.
• Instructor: Cheryl Fenelle-Dixon
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• Instructor: Don Waisanen
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• Instructor: Gabriel Amor
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• 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
• R 2:10 p.m.-4 p.m.
• R 10:10 a.m.-noon
• None None-None
• Instructor: Gabriel Amor
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• Instructor: Cheryl Fenelle-Dixon
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• Instructor: Alexandra M Merceron
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• 3 points

ILLNESS/DISABILITY NARRATIVES

• Department: Narrative Medicine
• W 10 a.m.-12:50 p.m.
• Instructor: Sayantani T Dasgupta
  CULPA: 2 Info
• 4 points

CORPORATE SUSTAINABILITY REPORTING AND S

CORP SUST REPRTNG & STRAT

The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Celine S Ruben-Salama
  Info
• 3 points

CORPORATE SUSTAINABILITY REPORTING AND S

CORP SUST REPORTING & STR

The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.

• Department: Sustainability Management
• T 2:10 p.m.-4 p.m.
• Instructor: Celine S Ruben-Salama
  Info
• 3 points

ENTREPRENEURSHIP: DEVELOP/IMPLEMENT NEW

DEVELOP/IMPLEMENTING NEW

This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.

• Department: School of Professional Studies (DVSP)
• R 6:10 p.m.-8 p.m.
• Instructor: Michael E Jr McGuire
  Info
• 3 points

ENTREPRENEURSHIP: DEVELOP/IMPLEMENT NEW

DEVELOP/IMPLEMENTING NEW

This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.

• Department: Auditing
• R 6:10 p.m.-8 p.m.
• Instructor: Michael E Jr McGuire
  Info
• 0 points

CAREER DEVELOPMENT

This seminar is designed for senior graduate students to learn about various career options. The speakers are generally graduates from our programs or comparable programs, who will discuss how they ended up in their present positions. The seminar is designed to give the students plenty of opportunities to interact with the speakers and ask questions or ask for advice on how to pursue these career options.

• Department: Cellular, Molecular, and Biophysical Studies
• 1 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
• Instructor: Michael A Perrino
  Info
• 0 points

GHG EMISSIONS: MEASURING AND MINIMIZING

GHG EMISSIONS CARBON FOOT

Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams.  This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms.  We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field.  Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Jonathan C Dickinson
  CULPA: 1 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: School of Professional Studies (DVSP)
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Perry Beaumont
  h-index: 4 Info
• 3 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
• W 10:10 a.m.-12:55 p.m.
• Instructor: James A Schamus
  CULPA: 8 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

DESCRIPTING AFRICAN AMERICAN BODIES

DESCRIPT AFRICAN AMRCN BO

This course explores representations of the impact of structural racism on health and health outcomes. In this endeavor, this course examines historical issues and theories, emphasizes critical analysis and the application of knowledge, and asks critical questions about authors’ decisions to depict illness and health in specific ways. Scholarly readings in the areas of narrative and critical race theory will not only illuminate the relationship between social conditions and health outcomes but also provide the necessary insights and concepts to articulate how authors and directors represent health risks and outcomes in cultural contexts. Written and visual texts will provide a context for reflecting on specific personal and cultural experiences with structural racism and the narrative strategies that authors employ to depict the effects of structural racism on African American bodies.

• Department: Narrative Medicine
• M 3:10 p.m.-5 p.m.
• Instructor: Aaron Oforlea
  Info
• 3 points

INDUSTRY INSIDER

This course gives students visibility into the rapidly changing communication industry and the wide range of careers available. Curated site visits take us inside world-class agencies and corporate/nonprofit organizations to see how they use strategic communication in the real world. Students gain firsthand exposure to leading practitioners while learning the dynamics of collaboration between internal and external stakeholders. Relevant coursework provides additional perspective.

• Department: Strategic Communication
• W 10:10 a.m.-noon
• Instructor: Matthew Sawyer
  Info
• 3 points

INDUSTRY INSIDER

INDUSTRY INSIDER - CEU

This course gives students visibility into the rapidly changing communication industry and the wide range of careers available. Curated site visits take us inside world-class agencies and corporate/nonprofit organizations to see how they use strategic communication in the real world. Students gain firsthand exposure to leading practitioners while learning the dynamics of collaboration between internal and external stakeholders. Relevant coursework provides additional perspective.

• Department: Strategic Communication
• W 10:10 a.m.-noon
• Instructor: Matthew Sawyer
  Info
• 3 points

INDUSTRY INSIDER

This course gives students visibility into the rapidly changing communication industry and the wide range of careers available. Curated site visits take us inside world-class agencies and corporate/nonprofit organizations to see how they use strategic communication in the real world. Students gain firsthand exposure to leading practitioners while learning the dynamics of collaboration between internal and external stakeholders. Relevant coursework provides additional perspective.

• Department: Strategic Communication
• W 4:10 p.m.-6 p.m.
• W 12:10 p.m.-2 p.m.
• Instructor: Juli Falkoff
  Info
• Instructor: Matthew Sawyer
  Info
• 3 points

INDUSTRY INSIDER

INDUSTRY INSIDER - CEU

This course gives students visibility into the rapidly changing communication industry and the wide range of careers available. Curated site visits take us inside world-class agencies and corporate/nonprofit organizations to see how they use strategic communication in the real world. Students gain firsthand exposure to leading practitioners while learning the dynamics of collaboration between internal and external stakeholders. Relevant coursework provides additional perspective.

• Department: Strategic Communication
• W 12:10 p.m.-2 p.m.
• Instructor: Matthew Sawyer
  Info
• 3 points

ILLNESS-THOUGHT-ACTIVISM

• Department: Narrative Medicine
• F 2:10 p.m.-5 p.m.
• Instructor: Lisa Diedrich
  Info
• 1 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

CRITICAL URBAN INFRASTRUCTURE FOR SUSTAI

What are urban infrastructures that promote sustainability? Such infrastructure must reduce environmental pollution at all scales, provide necessary urban services efficiently and enhance urban resilience to multiple potential crises. Sustainable infrastructure also must promote social and economic equity and environmental justice. And sustainable infrastructure must be economically feasible. This class will use these concepts to evaluate urban infrastructure and identify challenges to making urban infrastructure sustainable. Importantly, the course will use theories of urban transitions to help identify the drivers of potential change in infrastructure development and envision the emergence of sustainable infrastructure. This class will examine these notions across the energy, transportation, water supply and waste water treatment, buildings, health and open space urban sectors.

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• Instructor: Peter J Marcotullio
  Info
• 3 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
• M 10:10 a.m.-noon
• Instructor: Ryan A Hagen
  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
• M 8 a.m.-10 a.m.
• Instructor: Aracelis Z Torres
  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
• M 8:10 a.m.-10 a.m.
• Instructor: Aracelis Z Torres
  Info
• 3 points

INTERNSHIP IN SOCIAL III

Internship in Social Rese

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 Large-Scale Data Analysis a

PRACTICUM IN DATA ANALYSI

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.
• Instructor: Charlie Riemann
  Info
• 3 points

Practicum in Large-Scale Data Analysis a

PRACTICUM IN DATA ANALYSI

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: Charlie 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
• T 8:10 p.m.-10 p.m.
• Instructor: Benjamin K Goodrich
  Info
• 3 points

SUSTAINABLE FASHION AND STARTUP STRATEGY

SUST FASHION & STARTUP ST

Fashion’s consistent ranking among the top 3 global polluters has become a decades old fact struggling to gain a proportionate response among the brand startup and sourcing community. With industry revenues set to exceed $1 trillion, there is an opportunity to critically address existing revenue models predicated on traditional metrics, such as constant growth, and singular bottom lines. The course attempts to create a nexus between the fashion entrepreneur and systems thinker to explore strategic solutions that address sustainability though an environmental, social and economic lens. The aim is to foster a mindful, yet critical discourse on fashion industry initiatives, past and present, and to practice various tools that help transition existing organizations and incubate new startups towards sustainable outcomes.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Ammar Belal
  Info
• 3 points

STATISTICS, DATA ANALYSIS, AND CODING FO

STATS, DATA, ANLYS&CODING

Students in the Master of Science in Sustainability Science will encounter a range of scientific problems throughout their Science-specific courses that require a strong foundational level of mathematical and statistical knowledge.  In addition, course-work will involve computer coding to read, analyze, and visualize data sets.  This course provides an overview of essential mathematical concepts, an introduction to new concepts in statistics and data analysis, and provides computer coding skills that will prepare students for coursework in the Master of Science in Sustainability Science program as well as to succeed in a career having a sustainability science component.  In addition to an overview of essential mathematical concepts, the skills gained in this course include statistics, and coding applied to data analysis in the Sustainability Sciences. Many of these skills are broadly applicable to science-related professions, and will be useful to those having careers involving interaction with scientists, managing projects utilizing scientific analysis, and developing science-based policy. Students enrolled in this course will learn through lectures, class discussion, and hands-on exercises that address the following topics: Review of mathematical concepts in calculus, trigonometry, and linear algebra; Mathematical concepts related to working on a spherical coordinate system (such as that for the Earth); Probability and statistics, including use of probability density functions to calculate expectations, hypothesis testing, and the concept of experimental uncertainty; Concepts in data analysis, including linear least squares, time-series analysis, parameter uncertainties, and analysis of fit; Computer coding skills, including precision of variables, arrays and data structures, input/output, flow control, and subroutines, and coding tools to produce basic X-Y plots as well as images of data fields on a global map.

• Department: Sustainability Technology
• M 6:10 p.m.-8 p.m.
• Instructor: James L Davis
  h-index: 57 Info
• 3 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
• M 4:10 p.m.-6 p.m.
• Instructor: Denise Milstein
  CULPA: 9 h-index: 5 Info
• 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 10 a.m.-11 a.m.
• Instructor: Denise Milstein
  CULPA: 9 h-index: 5 Info
• 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 10:10 a.m.-noon
• Instructor: Denise Milstein
  CULPA: 9 h-index: 5 Info
• 3 points

NATURAL LANG PROCESSING SOCIAL SCIENCES

NATURAL LANG PROC SOC SCI

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
• W 8:10 a.m.-10 a.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
• Instructor: Kevin Visconti
  Info
• 3 points