INTRODUCTION TO FINANCE

• Department: Auditing
• Instructor: Eleni Vrana
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• 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: School of Professional Studies (DVSP)
• R 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Mario Gonzalez-Corzo
  h-index: 8 Info
• Instructor: Eleni Vrana
  Info
• 3 points

INTRODUCTION TO FINANCE

INTRO TO FINANCE ONLINE

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: School of Professional Studies (DVSP)
• M 8:10 p.m.-10 p.m.
• Instructor: Stephen Hurley
  Info
• 3 points

MICROECONOMIC ANALYSIS I-DISC

Corequisites: ECON GR5211 Discussion Section for Economics MA Course Microeconomics Analysis I.

• Department: Economics
• T 3 p.m.-4:30 p.m.
• R 6 p.m.-7:30 p.m.
• Instructor: Lucas P de Lara
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• Instructor: Qianyang Zhang
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• 0 points

PROFESSIONAL PRESENTATION

• Department: Engineering
• WS 9 a.m.-10:40 a.m.
• Instructor: Hyoseon Lee
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• 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.
• T 4:10 p.m.-6 p.m.
• Instructor: Dennis Tenen
  CULPA: 8 h-index: 3 Info
• Instructor: Jennifer Wenzel
  CULPA: 3 h-index: 15 Info
• 4 points

INTRO TO FINANCE

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Owen K Lau
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• Instructor: Justin So
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• Instructor: Michael Zwecher
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• Instructor: Phillip E Toth
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• Instructor: Christakis Droussiotis
  Info
• 3 points

Evidence Based Dentistry

FNDTNAL ANLYTC SKLS DEN MEDIC

• Department: Dental and Oral Surgery
• Instructor: John T Grbic
  h-index: 36 Info
• 0 points

FUNDAMENTALS OF SUSTAINABILITY SCIENCE

FUND OF SUSTAINABILITY SCIENCE

This course provides an introduction to the major themes of sustainability science with a focus on the application of science to the practice of sustainability.  Basic research, especially in the environmental and social sciences, explores the Earth as a system of systems, wherein the physical, chemical and biological systems interact with each other as well as human systems to affect our future.  The results of this research are often difficult to apply in practice unless the research in translated into actionable advice for individuals, governments and private enterprise.  Even so, the actual or perceived complexities of interactions between human and “natural” systems are often seen by decision makers as barriers to long-term planning, an essential element of pursuing sustainability.  A simple definition of sustainability is based on intergenerational equity.  Thus, the relationships between the here-and-now and possible global futures need to be understood.  Students enrolled in this course will discuss: Definitions of sustainability, including environmental, cultural and socio-economic components; Technologies for observing natural systems and their impacts on human systems; Summaries of scientific understanding of global-scale climate dynamics, natural hazards, biodiversity, environmental stressors and anthropogenic inputs to coupled human-natural systems; An overview of the strengths and weaknesses of science-based prediction; An introduction to geoengineering; Developing the evidence base for sustainability decisions; An introduction to risk assessment, perception and management; Decision making under uncertainty; General principles of sustainability management. An undergraduate background in any field of science or engineering and mathematics through statistical and time-series analysis is required.  An interest in coupled natural-human systems is desirable.

• Department: Sustainability Technology
• W 6:10 p.m.-8 p.m.
• Instructor: Arthur L Lerner-Lam
  CULPA: 1 Info
• 3 points

DRAWING II

• Department: Visual Arts
• F 10 a.m.-4 p.m.
• Instructor: Diana Cooper
  Wikipedia Info
• 3 points

MA METHODS: COLLOQUIUM

• Department: Art History and Archaeology
• R 12:10 p.m.-2 p.m.
• Instructor: Frederique Baumgartner
  CULPA: 3 Info
• 4 points

MACROECONOMIC ANALYSIS I-DISC

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

• Department: Economics
• F 11:30 a.m.-1 p.m.
• M 8 p.m.-9:30 p.m.
• Instructor: Susannah Scanlan
  Info
• Instructor: Jongho Lee
  CULPA: 1 Info
• 0 points

PROFESSIONAL COMMUNICATION IN ENGLISH

PROFESSIONAL COMM IN ENGL

• Department: Engineering
• WS 11 a.m.-12:40 p.m.
• Instructor: Hyoseon Lee
  Info
• 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)
• R 6:10 p.m.-8 p.m.
• F 2:10 p.m.-4 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Hany S Guirguis
  CULPA: 3 Info
• Instructor: John D Van Ness
  Info
• Instructor: Kevin Sweeney
  Info
• 3 points

ECONOMETRICS I-DISCUSSION

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

• Department: Economics
• R 3 p.m.-4:30 p.m.
• F 8:30 a.m.-10 a.m.
• Instructor: Ruoqing Jiang
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• Instructor: Martsella Davitaya
  Info
• 0 points

FNDN EXCELLENCE DENTAL PRACTICE I

• Department: Dental and Oral Surgery
• Instructor: Stacey Whalen
  Info
• 0 points

DIRECTED READINGS

AMERICAN MONUMENT CULTURES

• Department: Art History and Archaeology
• Instructor: Elizabeth Hutchinson
  CULPA: 9 Info
• 3 points

DIRECTED READINGS

CLOTHING

• Department: Art History and Archaeology
• Instructor: Anne Higonnet
  CULPA: 31 Wikipedia Info
• 3 points

DIRECTED READINGS

ARCHITECTURE, 1550-1799

• Department: Art History and Archaeology
• Instructor: Eleonora Pistis
  Info
• 3 points

DIRECTED READINGS

IN AND AROUND ABSTRACT EXPR

• Department: Art History and Archaeology
• Instructor: Alexander Alberro
  CULPA: 12 h-index: 17 Info
• 3 points

MATH METHODS FOR ECONOMISTS-DISC

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

• Department: Economics
• M 1:30 p.m.-3 p.m.
• F 10 a.m.-11:30 a.m.
• Instructor: Cesar Barilla
  Info
• Instructor: Vinayak Iyer
  h-index: 1 Info
• 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
  Info
• 3 points

OPTIONS AND FUTURES

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

FINANCIAL ACCOUNTING

FINANCIAL ACCOUNTING ONLINE

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)
• R 8:10 p.m.-10 p.m.
• Instructor: Rebecca Shaffer
  Info
• 3 points

INDEPENDENT STUDY

PROFESSIONAL&WORKPLACE CO

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

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

• Department: Auditing
• Instructor: John Bockstoce
  Info
• 0 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

MNGNG HUMAN BEHAVIOR IN ORG

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)
• M 8:10 p.m.-10 p.m.
• F 12:10 p.m.-2 p.m.
• Instructor: Young Mi Park
  Info
• Instructor: Jacqueline Strayer
  Info
• 3 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

MNGNG HUMAN BEHAVIOR (ONLINE)

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)
• T 8:10 p.m.-10 p.m.
• Instructor: John Bockstoce
  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 4:10 p.m.-6 p.m.
• Instructor: Nancy Worman
  CULPA: 23 Wikipedia Info
• 2 points

STAT MODELING-ECOL & EVOL BIOL

STATISTICAL MODELING

• Department: Ecology, Evolution, and Environmental Biology
• TR 8:40 a.m.-9:55 a.m.
• Instructor: Maria Uriarte
  Wikipedia h-index: 56 Info
• 6 points

MANAGING HUMAN BEHAVIOR IN THE ORGANIZAT

MNG HUMAN BEHAVIOR IN THE

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Patti Ippoliti
  Info
• Instructor: Maryanne Spatola
  Info
• 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
• T 6:10 p.m.-8 p.m.
• M 10:10 a.m.-noon
• W 6:10 p.m.-8 p.m.
• Instructor: Jingyan Yang
  h-index: 19 Info
• Instructor: Michael Parrott
  Info
• Instructor: Marco A Morales Barba
  Info
• 4 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
• M 4:10 p.m.-6 p.m.
• 3 points

SELECT READ EARLY CHINESE TEXT

• Department: East Asian Languages and Cultures
• M 2:10 p.m.-4 p.m.
• Instructor: Jue Guo
  CULPA: 1 Info
• 4 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
  Info
• 0 points

CINEMA HIST II: 1930-1960

• Department: Film
• W 1:10 p.m.-3:55 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
• R 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 4 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
• R 6:10 p.m.-8 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 4 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 5:10 p.m.-9 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 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 5:10 p.m.-9 p.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 tuition is the same for online and on-campus courses, there is an additional $85 course fee for online courses.

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

CINEMA HIST III:1960-1990

• Department: Film
• W 2 p.m.-5:45 p.m.
• Instructor: Annette Insdorf
  CULPA: 10 Wikipedia Info
• 3 points

CLOSE READING: GIVING AND RECEIVING ACCO

GIVING & RECEIVING ACCOUNTS OF

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

COST BENEFIT ANALYSIS

This course is about cost-benefit analysis and the economic evaluations of policies and projects. Cost benefit analysis (CBA) consists of a comprehensive set of techniques used to evaluate government programs. It is now routinely applied in such program areas as transportation, water projects, health, training and education, criminal justice, environmental protection, urban policy and even in the international arena such as foreign direct investment. Many of the techniques of CBA can also be applied to private sector decision-making. The objective of CBA is to determine whether the benefits of a particular program, policy or decision outweigh its costs. The techniques used to determine this are sometimes quite simple, but on other, increasingly frequent occasions are highly sophisticated. Sophisticated cost benefit studies are based on a framework that utilizes the basic concepts of economic theory. In addition, statistical and econometric analyses are often needed to estimate program effects from diverse available data. The course has two parts: methodology and practice. The goal is for students to be practically adept to undertake an independent cost-benefit analysis.

• Department: Sustainability Management
• F 6:10 p.m.-8 p.m.
• Instructor: Satyajit Bose
  CULPA: 4 Info
• 3 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

THEORY & PRACTICE OF LIFE CYCLE ASSESSME

• Department: Auditing
• Instructor: Christoph J Meinrenken
  h-index: 15 Info
• 0 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
• R 8:10 p.m.-10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 2 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
• R 8:10 p.m.-10 p.m.
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 2 points

THEORY & PRACTICE OF LIFE CYCLE ASSESSME

THEORY PRAC LIFE CYCLE ASM

Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Christoph J Meinrenken
  h-index: 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
• 2 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
• 2 points

CORPORATE SUSTAINABILITY REPORTING AND S

CORP SUST REPORTING & STR

• Department: Auditing
• Instructor: Celine S Ruben-Salama
  Info
• 0 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
  Info
• 3 points

STRATEGIC COMMUNICATION MANAGEMENT

STRATEGIC COMMUNICATION MGMT

• Department: Strategic Communication
• R 4:10 p.m.-6 p.m.
• R 10:10 a.m.-noon
• R 6:10 p.m.-8 p.m.
• None None-None
• Instructor: Gabriel Amor
  Info
• Instructor: Don Waisanen
  Info
• Instructor: Cheryl Fenelle-Dixon
  Info
• Instructor: Alexandra M Merceron
  Info
• 3 points

ILLNESS/DISABILITY NARRATIVES

• Department: Narrative Medicine
• W 11:10 a.m.-2 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

INTRO TO LIFE INSURANCE

• Department: Actuarial Science
• T 7:40 p.m.-9:30 p.m.
• 3 points

DEVELOP/IMPLEMENTING NEW IDEAS

Interested in starting your own company? Do you have an idea for a new product or service? Have you come up with a way to improve something that already exists? This course tackles the central business concept of how one creates, builds and leads companies. It looks at aspects of entrepreneurship and leadership for both individuals and teams in the face of complex situations. Using the case study method as taught in business school, also known as participant-centered learning, this course puts students in the role of an entrepreneur facing critical business decisions. A selection of guest speakers will offer firsthand experience on innovation and entrepreneurship.

• Department: School of Professional Studies (DVSP)
• R 6:10 p.m.-8 p.m.
• Instructor: Michael E Jr McGuire
  Info
• 3 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
• T 5 p.m.-6:30 p.m.
• 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: Sidney Eisig
  h-index: 24 Info
• 0 points

GHG EMISSIONS: MEASURING AND MINIMIZING

GHG EMISSIONS CARBON FOOT

• Department: Auditing
• Instructor: Jonathan C Dickinson
  CULPA: 1 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.
• 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 phb2120@columbia.edu for professor 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.
• Instructor: Perry Beaumont
  h-index: 4 Info
• 3 points

DESCRIPTING AFRICAN AMERICAN BODIES

DESCRIPT AFRICAN AMRCN BO

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

CRITICAL URBAN INFRASTRUCTURE FOR SUSTAI

• Department: Auditing
• Instructor: Peter J Marcotullio
  Info
• 0 points

INDUSTRY INSIDER

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

ILLNESS-THOUGHT-ACTIVISM

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
• 2 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
• M 6:10 p.m.-8 p.m.
• Instructor: Peter J Marcotullio
  Info
• 3 points

INTERNSHIP IN SOCIAL RESEARCH II

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