ADVANCED DATA SCIENCE AND ARTIFICIAL INT
APPLIED DATA SCIENCE
Project-based topics course in data science and artificial intelligence. Students build a portfolio by implementing and applying modern data science methods.
- Department: Statistics
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Instructor:
Bianca Dumitrascu
Info - 3 points
Unsupervised Learning
Description.
Unsupervised Learning is a masters level course on foundations, methods, practice, and applications in machine learning from data without associated labels or outcomes. This course will focus on dimension reduction and clustering techniques while also covering graphical models, missing data imputation, anomaly detection, generative models, and others. The course will also emphasize conceptual understanding and practical applications of unsupervised learning in data visualization, exploratory data analysis, data pre-processing, and data-driven discovery.
Prerequisites.
STAT GR 5206 Statistical Computing and Intro to Data Science
STAT GR 5241 Statistical Machine Learning (strongly recommended)
STAT GR 5205 Linear Regression (recommended)
STAT GR 5203 Probability (recommended)
Students should also be familiar with linear algebra.
- Department: Statistics
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Instructor:
Genevera Allen
Info - 3 points
THE BUSINESS OF NONPROFITS
This Business of Nonprofits course is designed to prepare students to identify, understand, consider, and manage common business and related legal issues arising in the operation of a nonprofit organization. Operational legal issues are pervasive in every aspect of nonprofit management and governance, including: (1) decisions on organizational structures, (2) the design of collaborative relationships, (3) entering into contracts, (4) human resource issues, (5) the creation and use of intellectual property, and (6) the assessment and management of risks. Because of the increasingly complex legal environment nonprofits face, managers knowledgeable about the topics covered in this course will be better equipped to contribute to the structuring of external business arrangements and relationships, as well as to manage internal operational matters. This elective course is intended to provide a solid foundation of practical business and business law basics to managers, board members, and consultants working for nonprofit organizations.
- Department: Non Profit Management
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Instructor:
Astrid Andre
Info - 3 points
Python for Deep Learning
This course is an optional companion lab course for GR5242 Advanced Machine Learning. The aim of this course is to help students acquire the basic computational skills in a python-based Deep Learning library (such as Troch, TensorFlow) to implement deep learning models. lab class materials will be aligned closely with the topics covered in GR5242. Google Colab will be used as the main tools for the hands-on lab exercises.
Python for Deep Learning
This course is an optional companion lab course for GR5242 Advanced Machine Learning. The aim of this course is to help students acquire the basic computational skills in a python-based Deep Learning library (such as Troch, TensorFlow) to implement deep learning models. lab class materials will be aligned closely with the topics covered in GR5242. Google Colab will be used as the main tools for the hands-on lab exercises.
Smart Agriculture for a Changing Climate
Agriculture is highly dependent on stable climate conditions to produce the world’s food with sufficient nutritional quality at an affordable cost. Climate change is threatening the breadbaskets of the world with shifting rainfall, pests, and weather patterns. Farmers face enormous challenges in adapting to this volatility that is affecting their livelihoods and communities locally, and threatens the global food systems stability. Adaptation to these changes has become a high priority for policy makers, corporations, and investors around the world. Climate smart agriculture presents solutions to the existential threat to the global food supply by utilizing a range of tech enabled methods for producing more food with less resources. The challenge is daunting because there is no “one size fits all” solution. Instead, localized solutions that meet the social, environmental, and economic realities of farmers need to be developed, accelerated, and implemented.
- Department: Sustainability Management
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Instructor:
Henry A Gordon-Smith
Info - 3 points
Applied Integrative Seminar for Duals I
The Applied Integrative Experience for Duals (1 credit) is a year-long, pass/fail program requirement that supports the integrative learning goals of students pursuing dual degrees between the MS in Climate and either the MS in Carbon Management (SEAS) or the MS in Architecture and Urban Design (GSAPP). Students engage in cross-school experiences and guided written reflections to deepen their understanding of how their dual programs intersect and support their professional aspirations.
Students are expected to work closely with their respective faculty advisors throughout the year to identify appropriate events and ensure that their integrative experiences and reflections align with their academic and professional goals. Advisor consultation is essential for shaping meaningful engagement during your time at the Climate School.
- Department: Climate School
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Instructor:
Alix Schroder
Info - 0.5 points
EXTERNAL STAKEHOLDER REQUIREMENTS
Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.
- Department: Enterprise Risk Management
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Instructor:
Melody Feinberg
Info -
Instructor:
R S Forston
Info - 3 points
FUNDAMENTALS OF EDITING
This online class explores the creative and narrative principals of editing through the editing of students' 8-12 minute films and / or other footage. Instructors are professional editors who will provide lecture and individual based instruction.
- Department: Film
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Instructor:
Joshua Lee
Info -
Instructor:
Elizabeth Kling
Info - 1.5 points
FUNDAMENTALS OF EDITING
This online class explores the creative and narrative principals of editing through the editing of students' 8-12 minute films and / or other footage. Instructors are professional editors who will provide lecture and individual based instruction.
- Department: Film
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Instructor:
Elizabeth Kling
Info - 1.5 points
DATA ANALYSIS AND VISUALIZATION IN SUSTA
DATA ANALYSIS & VIS IN SU
Data science is an exciting new field of applied research that takes advantage of the ever-growing volume of data being collected to support of decision-making in both the public and private sectors. Similar to traditional statistical analysis, these new approaches have limits and issues that are important to understand before application to problem solving. This is a full semester course taught in person. It aims to introduce the common methods used in data science, best practices in data management, and the basic scripting skills required to start analyzing data in R and Python. After introducing foundational scripting and data analysis methods, a case study approach will be used to highlight both what can be accomplished with data analysis and the limits of the data and methods used. Lab exercises will teach basic skills in scripting in Python and R and then move to a common approach for data analysis: adapting existing scripts and software libraries to solve applied data problems.
The requirement to understand the interaction of social and natural systems requires data-driven policy decisions, and the ongoing assessment of policies requires rigorous, reproducible assessments of effectiveness for promoting sustainability. Both requirements can be met in part by data science approaches that are applicable to the natural and social sciences and reproducible in academic and applied settings. Data science techniques have been developed to derive insight from large volumes of available data that are often collected for purposes other than the interests of the data scientist. This flexibility in approach means that the techniques used in data science are well adapted to support gaining insights from data relevant for sustainability science. This course has been designed to introduce these techniques in anticipation of increased use in promoting sustainability.
- Department: Sustainability Management
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Instructor:
Tavis M Barr
Info - 3 points
ORGANIZATIONAL STRATEGY AND LEARNING
ORG STRAT AND LEARNING
- Department: Human Capital Management
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Instructor:
Sara Daly-Padron
Info - 3 points
CORPORATE, PRIVATE, COMMUNTY FOUNDATIONS
- Department: Auditing
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Instructor:
John Tyler
h-index: 3 Info - 0 points
CORPORATE, PRIVATE, COMMUNTY FOUNDATIONS
- Department: Non Profit Management
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Instructor:
John Tyler
h-index: 3 Info - 3 points
STATISTICAL METHODS IN FINANCE
Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.
- Department: Statistics
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Instructor:
Hammou El Barmi
CULPA: 8
Info
- 3 points
STAT INF/TIME-SERIES MODELLING
Available to SSP, SMP Modeling and inference for random processes, from natural sciences to finance and economics. ARMA, ARCH, GARCH and nonlinear models, parameter estimation, prediction and filtering.
- Department: Statistics
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Instructor:
Alberto Gonzalez Sanz
Info -
Instructor:
Franz Rembart
Info - 3 points
STOCHASTC PROCSSES-APPLICTNS I
Prerequisites: STAT GR5203 or the equivalent. Basics of continuous-time stochastic processes. Wiener processes. Stochastic integrals. Ito's formula, stochastic calculus. Stochastic exponentials and Girsanov's theorem. Gaussian processes. Stochastic differential equations. Additional topics as time permits.
- Department: Statistics
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Instructor:
Graeme Baker
Info -
Instructor:
Jaehyuk Choi
Info - 3 points
VISUAL COMMUNICATION & DESIGN
This course provides strategic communication students with the foundational notions and methods of design needed to collaborate with designers and amplify their work. It examines the impact technology and social transformations are having on design: the application of digital and generative technology, the redirection toward human-centric approaches, and the discipline’s standing in embracing social and ethical concerns related to ensuring inclusivity and preventing cultural bias. The course begins with a historical overview of design’s evolution and contemporary methods, setting the stage for an in-depth exploration of visual perception principles and key design elements like shape, form, color, typography, imagery, and layout. Students will apply the knowledge gained by experimenting with design practices and developing design strategies and applications through serial hands-on, collaborative assignments and workshops.
- Department: Strategic Communication
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Instructor:
Diego Kolsky
Info - 3 points
STOCHASTIC METHODS IN FINANCE
Prerequisites: STAT GR5264 Available to SSP, SMP. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates.
- Department: Statistics
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Instructor:
Steven Campbell
Info - 3 points
TRANSFORMING TOTAL REWARDS
- Department: Human Capital Management
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Instructor:
Solange Charas
h-index: 4 Info -
Instructor:
Edna B Chun
Info - 3 points
Navigating conflict: Diverging stakehold
This course will explore ways in which the shifting relationship between the human economy and our physical environment drive divergent, often conflicting, responses from different segments of society, including distinct economic classes, communities, nations, industries, etc. For the sustainability professional, such conflicts are important in the development of equitable solutions. They are also critical pragmatic issues in implementation of any new policies. The relative strength of different stakeholders, and the tactics they deploy to pursue their goals can determine what actually happens “on the ground”. We will take a case study approach, looking at how specific socio-economic impacts of environmental change generate calls for social change, shift alignments, deepen stakeholder entrenchment, and influence sustainability policy. Our cases include impacts of global warming, land-use changes, and expanded material throughputs as a result of growing demand in agriculture, fishing, forestry, mining and manufacturing.
- Department: Sustainability Science
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Instructor:
Robert Newton
h-index: 9 Info - 3 points
Navigating conflict: Diverging stakehold
This course will explore ways in which the shifting relationship between the human economy and our physical environment drive divergent, often conflicting, responses from different segments of society, including distinct economic classes, communities, nations, industries, etc. For the sustainability professional, such conflicts are important in the development of equitable solutions. They are also critical pragmatic issues in implementation of any new policies. The relative strength of different stakeholders, and the tactics they deploy to pursue their goals can determine what actually happens “on the ground”. We will take a case study approach, looking at how specific socio-economic impacts of environmental change generate calls for social change, shift alignments, deepen stakeholder entrenchment, and influence sustainability policy. Our cases include impacts of global warming, land-use changes, and expanded material throughputs as a result of growing demand in agriculture, fishing, forestry, mining and manufacturing.
- Department: Auditing
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Instructor:
Robert Newton
h-index: 9 Info - 0 points
CAPITAL MARKETS & INVESTMENTS
Risk/return tradeoff, diversification and their role in the modern portfolio theory, their consequences for asset allocation, portfilio optimization. Capitol Asset Pricing Model, Modern Portfolio Theory, Factor Models, Equities Valuation, definition and treatment of futures, options and fixed income securities will be covered.
- Department: Mathematics
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Instructor:
Alexei Chekhlov
CULPA: 3
h-index: 10
Info
- 3 points
THE NONPROFIT SECTOR: SCOPE & IMPACT
NONPROFIT SECTOR: SCOPE&I
This course introduces students to the roles the nonprofit sector plays in providing for social needs, such as healthcare, education, and basic needs. Throughout this course, we will also grapple with the ethical questions inherent in these pursuits, including the challenge of tainted money, participatory grantmaking, social impact, and the politicization of nonprofit organizations. The course will also explore distinctions, similarities and relationships among the nonprofit, government, and for-profit sectors. The course examines the parameters of the United States’ nonprofit sector and philanthropic practice, with some opportunity for global comparison.
The course will require students to utilize and reflect critical and analytical thinking; students will write individual papers, actively participate in discussion both in class and through postings on Canvas and present material to classroom colleagues. This full-semester course is required the first semester of study.
- Department: Non Profit Management
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Instructor:
Erwin Vincent S de Leon
Info -
Instructor:
Thomas W Watson
Info -
Instructor:
Jill Lalonde
Info -
Instructor:
Thomas W Watson
Info -
Instructor:
Jill Lalonde
Info - 3 points
COMMUNICATION RESEARCH & INSIGHTS
COMM RESEARCH & INSIGHTS
To make informed decisions about communication, we need a clear understanding of our audience and its motivations. We begin by asking the right questions and interpreting the results. This course covers essential market research methods, including quantitative and qualitative techniques. Students gain direct experience in collecting and analyzing data, developing insights and choosing research-driven communication strategies that meet client objectives.
- Department: Strategic Communication
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Instructor:
Laura Milewczik
Info - 3 points
ADVANCED DATA ANALYSIS
Course Description
STAT GR5291 Advanced Data Analysis serves as one of the required capstone experiences for MA students in statistics. This course is project-based and covers advanced topics in traditional data analysis. Students are presented with a mix of theory and application in homework assignments. The final project is a major contribution to the final grade and is arguably considered the capstone project for the MA in Statistics Program.
Students will learn a myriad of topics related to data analysis and hypothesis testing, and are responsible for application through statistical packages or manual programming. Topics include, exploratory data analysis & descriptive statistics, review of sampling distribution, point estimation, review of hypothesis testing & confidence interval procedures, non-parametric tests, computational methods (Monte Carlo, bootstrap, permutation tests), categorical data analysis, linear regression, diagnostics & residual analysis, robust regression, model selection, non-linear regression & smoothers, aspects of experimental design (ANOVA, two-way ANOVA, blocking, multiple comparisons, ANCOVA, semi-parametric procedures, random effects models, mixed effects models, nested models, repeated measures), and general linear models (logistic regression, penalized logistic, multinomial regression, link functions).
Also, time permitting the class covers:
survival analysis (hazard function, survival curve), time series analysis (stationarity, ACF/PACF, MA, AR, ARMA, ARIMA, order selection, forecasting).
- Department: Statistics
-
Instructor:
Demissie Alemayehu
h-index: 14 Info - 3 points
ADVANCED DATA ANALYSIS
Course Description
STAT GR5291 Advanced Data Analysis serves as one of the required capstone experiences for MA students in statistics. This course is project-based and covers advanced topics in traditional data analysis. Students are presented with a mix of theory and application in homework assignments. The final project is a major contribution to the final grade and is arguably considered the capstone project for the MA in Statistics Program.
Students will learn a myriad of topics related to data analysis and hypothesis testing, and are responsible for application through statistical packages or manual programming. Topics include, exploratory data analysis & descriptive statistics, review of sampling distribution, point estimation, review of hypothesis testing & confidence interval procedures, non-parametric tests, computational methods (Monte Carlo, bootstrap, permutation tests), categorical data analysis, linear regression, diagnostics & residual analysis, robust regression, model selection, non-linear regression & smoothers, aspects of experimental design (ANOVA, two-way ANOVA, blocking, multiple comparisons, ANCOVA, semi-parametric procedures, random effects models, mixed effects models, nested models, repeated measures), and general linear models (logistic regression, penalized logistic, multinomial regression, link functions).
Also, time permitting the class covers:
survival analysis (hazard function, survival curve), time series analysis (stationarity, ACF/PACF, MA, AR, ARMA, ARIMA, order selection, forecasting).
- Department: Statistics
-
Instructor:
Demissie Alemayehu
h-index: 14 Info - 3 points
ADVANCED DATA ANALYSIS
Course Description
STAT GR5291 Advanced Data Analysis serves as one of the required capstone experiences for MA students in statistics. This course is project-based and covers advanced topics in traditional data analysis. Students are presented with a mix of theory and application in homework assignments. The final project is a major contribution to the final grade and is arguably considered the capstone project for the MA in Statistics Program.
Students will learn a myriad of topics related to data analysis and hypothesis testing, and are responsible for application through statistical packages or manual programming. Topics include, exploratory data analysis & descriptive statistics, review of sampling distribution, point estimation, review of hypothesis testing & confidence interval procedures, non-parametric tests, computational methods (Monte Carlo, bootstrap, permutation tests), categorical data analysis, linear regression, diagnostics & residual analysis, robust regression, model selection, non-linear regression & smoothers, aspects of experimental design (ANOVA, two-way ANOVA, blocking, multiple comparisons, ANCOVA, semi-parametric procedures, random effects models, mixed effects models, nested models, repeated measures), and general linear models (logistic regression, penalized logistic, multinomial regression, link functions).
Also, time permitting the class covers:
survival analysis (hazard function, survival curve), time series analysis (stationarity, ACF/PACF, MA, AR, ARMA, ARIMA, order selection, forecasting).
- Department: Statistics
-
Instructor:
Demissie Alemayehu
h-index: 14 Info - 3 points
ADVANCED DATA ANALYSIS
Course Description
STAT GR5291 Advanced Data Analysis serves as one of the required capstone experiences for MA students in statistics. This course is project-based and covers advanced topics in traditional data analysis. Students are presented with a mix of theory and application in homework assignments. The final project is a major contribution to the final grade and is arguably considered the capstone project for the MA in Statistics Program.
Students will learn a myriad of topics related to data analysis and hypothesis testing, and are responsible for application through statistical packages or manual programming. Topics include, exploratory data analysis & descriptive statistics, review of sampling distribution, point estimation, review of hypothesis testing & confidence interval procedures, non-parametric tests, computational methods (Monte Carlo, bootstrap, permutation tests), categorical data analysis, linear regression, diagnostics & residual analysis, robust regression, model selection, non-linear regression & smoothers, aspects of experimental design (ANOVA, two-way ANOVA, blocking, multiple comparisons, ANCOVA, semi-parametric procedures, random effects models, mixed effects models, nested models, repeated measures), and general linear models (logistic regression, penalized logistic, multinomial regression, link functions).
Also, time permitting the class covers:
survival analysis (hazard function, survival curve), time series analysis (stationarity, ACF/PACF, MA, AR, ARMA, ARIMA, order selection, forecasting).
- Department: Statistics
-
Instructor:
Demissie Alemayehu
h-index: 14 Info - 3 points
TOPICS IN MODERN STATISTICS
APP MACH LEARN COMP VIS
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
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Instructor:
Xiaofu He
h-index: 21 Info - 3 points
TOPICS IN MODERN STATISTICS
STAT ANALYSIS-NEURAL DATA
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
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Instructor:
Liam M Paninski
CULPA: 4 Info - 3 points
TOPICS IN MODERN STATISTICS
Decode AI w/Info Theory
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
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Instructor:
Ori Shental
Info - 3 points
TOPICS IN MODERN STATISTICS
ML Engineering for Stats
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
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Instructor:
Iordan I Slavov
Info - 3 points
STRATEGIC COMMUNICATIONS FOR RISK PROFES
STRATEGIC COMM FOR RISK P
Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.
- Department: Enterprise Risk Management
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Instructor:
Rich Lauria
Info -
Instructor:
Neil Barman
Info - 3 points
STRATEGIC COMMUNICATIONS FOR RISK PROFES
STRATEGIC COMM FOR RISK P
Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.
- Department: Enterprise Risk Management
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Instructor:
Neil Barman
Info -
Instructor:
Alan Cheung
h-index: 5 Info -
Instructor:
Joseph Cina
Info -
Instructor:
Yana Parfenyuk
Info -
Instructor:
Beth Goldberg
Info -
Instructor:
Mark Jankiewicz
Info -
Instructor:
Anthony Wong
Info -
Instructor:
Alan Cheung
h-index: 5 Info -
Instructor:
Alison L Bird
Info -
Instructor:
Saba Zahid
Info -
Instructor:
Sim Segal
Info - 3 points
STRATEGIC COMMUNICATIONS FOR RISK PROFES
STRATEGIC COMM FOR RISK P
Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.
- Department: Enterprise Risk Management
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Instructor:
Sim Segal
Info -
Instructor:
Rod Aday
Info - 3 points
CAPSTONE SEMINAR
- Department: Human Capital Management
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Instructor:
Solange Charas
h-index: 4 Info - 3 points
FOUNDATIONS FOR THE KNOWLEDGE-DRIVEN ORG
FOUND. FOR KNWLDGE-DRIVEN
Note: This course starts with a multi-day, on-campus Residency in late Aug./early Sept. and continues online thereafter.
Knowledge-driven organizations increasingly dominate the economy. What are their attributes? What vision and strategy guides their development? How are they designed? What are the jobs necessary for this new workplace? This course has been designed to give students a grounding that will be important for their future working career. It will focus on how the global economy and all its subsequent ramifications has evolved from a predominantly industrial base to one based on knowledge.
The Foundations course will begin by giving students a historical perspective as to how the "knowledge" economy specifically came about. We will be using historical and economic data and models which offer a clear understanding as to how the global economy and organizations evolved into their current state-where value is produced by knowledge and ideas significantly more than the earlier industrial processes and operations.
The course will then present detailed and comprehensive treatments of how societies, organizations and individual lives have been changed due to this great shift in the factors of production. The course will also focus on how networks, communities and practices work and have evolved to focus more on knowledge production and transfer than on the more industrial factors of production such as land, labor and capital. In addition, the course will examine the critical role of intangibles such as culture, trust and missions in the workings of organizations in this new era. Insights from anthropology, psychology and sociology as well as economics will be incorporated into the course curriculum.
A complex and comprehensive case study on NASA and their knowledge operations will be one of the key learning tools for this course as it proceeds.
- Department: Information & Knowledge Strat
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Instructor:
Edward J Hoffman
Info - 3 points
CLAIMS MANAGEMENT
IMGT5300PS
- Department: Insurance Management
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Instructor:
Richard Woollams
Info - 3 points
HEDGE FUNDS STRATEGIES & RISK
The hedge fund industry has continued to grow after the financial crisis, and hedge funds are increasingly important as an investable asset class for institutional investors as well as wealthy individuals. This course will cover hedge funds from the point of view of portfolio managers and investors. We will analyze a number of hedge fund trading strategies, including fixed income arbitrage, global macro, and various equities strategies, with a strong focus on quantitative strategies. We distinguish hedge fund managers from other asset managers, and discuss issues such as fees and incentives, liquidity, performance evaluation, and risk management. We also discuss career development in the hedge fund context.
QUALITATIVE METHODS & RESEARCH
The NMED PCC approved reducing the credits for QRM from 4 to 3 and in shifting this course from a core course to a program elective.
- Department: Narrative Medicine
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Instructor:
Carlos Decena
Info - 4 points
SOCIAL IMPACT & PERFORMANCE MEASUREMENT
SOCIAL IMPACT & MEASUREME
Nonprofit organizations compete for scarce philanthropic and government funding and are expected to account for how these resources are utilized for the greater good. However, understanding how well nonprofit programs and services produce their desired outcomes can be a challenge. This course is designed to provide a broad – yet rigorous – overview of the knowledge and tools available to evaluate the effects of nonprofit and social impact programs and policies.
- Department: Non Profit Management
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Instructor:
Jessie H Lee
Info -
Instructor:
Erwin Vincent S de Leon
Info -
Instructor:
Jessie H Lee
Info - 3 points
SCULPTURE I
- Department: Visual Arts
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Instructor:
Jon Kessler
CULPA: 5 Wikipedia Info -
Instructor:
Sasha E Fishman
Info - 3 points
POETRY WORKSHOP
- Department: Writing
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Instructor:
Mark Bibbins
Wikipedia Info -
Instructor:
Timothy B Donnelly
Info -
Instructor:
Shane McCrae
Wikipedia Info -
Instructor:
Emily F Skillings
Info -
Instructor:
Lynn Xu
Info -
Instructor:
Thea Matthews
Info - 6 points
Foundations of Valuations
Foundations of valuation is an introductory finance course required for all MBA students. It is designed to cover those areas of finance that are important to all managers, whether they specialize in finance or not. At the end of the course, you will be familiar with the most common financial instruments (stocks, bonds, options) and the methods to value them. More specifically, we will cover the following topics:
1. General framework for valuation (present value formula)
2. Bond and bond valuation (spot rates, yield to maturity, duration, convexity)
3. Stocks (stock valuation, dividend growth model)
4. Basic concepts of risk and return and the CAPM
5. Options (Black-Scholes formula)
The course will be a mix of lectures and cases. Students are expected to come prepared to class since the course relies on several in-class exercises students will solve in excel.
- Department: Finance
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Instructor:
Yiming Ma
h-index: 4 Info -
Instructor:
Bruno Pellegrino
Info -
Instructor:
Faculty
h-index: 37 Info - 1.5 points
INTERNATIONAL ENVIRONMENTAL LAW
INTL ENVIRONMENTAL LAW
International Environmental Law is a fascinating field that allows students to consider some of the most important questions of the 21st century – questions that have profound ramifications for the quality of life for our generation as well as future generations. Global environmental problems are real and urgent. Their resolution requires creative and responsible thought and action from many different disciplines.
Sustainability practitioners must understand global environmental issues and their effects on what they are charged to do. At one level, this course will consider the massive challenge of the 21st century: how to alleviate poverty on a global scale and maintain a high quality of life while staying within the bounds of an ecologically limited and fragile biosphere -- the essence of sustainable development. From a more practical perspective, the course will provide students with an understanding of international environmental policy design and the resulting body of law in order to strengthen their ability to understand, interpret and react to future developments in the sustainability management arena.
After grounding in the history and foundational concepts of international environmental law and governance, students will explore competing policy shapers and the relevant law in the areas of stratospheric ozone protection, climate change, chemicals and waste management, and biodiversity. The course satisfies the public policy course requirement for the M.S. in Sustainability Management program.
- Department: Sustainability Management
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Instructor:
Richard Horsch
CULPA: 2 Info - 3 points
PRE-CLINICAL OPPERATIVE DENT
PRE-CLINICAL OP DENT
- Department: Dental and Oral Surgery
- 0 points
Corporate Finance (Half-Term)
Corporate finance is an introductory course required for all MBA students. It is designed to cover those areas of finance that are important to all managers, whether they specialize in finance or not. At the end of the course, you will be able to value a firm. To reach this goal, the course covers the following topics:
1. Introduction to frameworks for firm valuation (enterprise DCF and multiples)
2. Multiple valuations
3. Free cash flows (definition, projections)
4. Residual value
5. Weighted average cost of capital
6. Optimal capital structure
The course will consist of approximately one‐half lecture and one‐half in‐class case discussions, for which students should prepare carefully. The course aims to provide students with an understanding of sound theoretical principles of finance and the practical environment in which financial decisions are made.
Corporate Finance (Half-Term)
Corporate finance is an introductory course required for all MBA students. It is designed to cover those areas of finance that are important to all managers, whether they specialize in finance or not. At the end of the course, you will be able to value a firm. To reach this goal, the course covers the following topics:
1. Introduction to frameworks for firm valuation (enterprise DCF and multiples)
2. Multiple valuations
3. Free cash flows (definition, projections)
4. Residual value
5. Weighted average cost of capital
6. Optimal capital structure
The course will consist of approximately one‐half lecture and one‐half in‐class case discussions, for which students should prepare carefully. The course aims to provide students with an understanding of sound theoretical principles of finance and the practical environment in which financial decisions are made.
Corporate Finance (Half-Term)
Corporate finance is an introductory course required for all MBA students. It is designed to cover those areas of finance that are important to all managers, whether they specialize in finance or not. At the end of the course, you will be able to value a firm. To reach this goal, the course covers the following topics:
1. Introduction to frameworks for firm valuation (enterprise DCF and multiples)
2. Multiple valuations
3. Free cash flows (definition, projections)
4. Residual value
5. Weighted average cost of capital
6. Optimal capital structure
The course will consist of approximately one‐half lecture and one‐half in‐class case discussions, for which students should prepare carefully. The course aims to provide students with an understanding of sound theoretical principles of finance and the practical environment in which financial decisions are made.
- Department: Finance
- 0 points
PRECLINICAL OPERATIVE DENTISTRY LAB
PRECLIN OPERTV DENT LAB
- Department: Dental and Oral Surgery
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Instructor:
Roseanna Graham
h-index: 4 Info - 0 points
Special Topics Course: Ethical AI in Hum
Ethical AI Conflict Resol
Artificial intelligence (AI) is rapidly reshaping our society, including concepts of global affairs, social justice, and human rights. While AI technologies offer the potential to improve our institutions, lives, and decision-making, they also have myriad negative effects, including perpetuating biases, reinforcing discrimination, and creating new challenges for conflict resolution. This course explores the ways in which AI interacts with ethics, including human rights frameworks and social justice. Students will analyze how AI systems impact communities, shape policymaking, and influence the distribution of power and resources.
This intensive weekend course is designed to provide a deep dive into the ethical implications of AI in our complex world. Students will engage in reflections and simulations to assess real-world dilemmas at the intersection of AI and societal issues. Through interactive discussions, theoretical explorations, and strategic exercises, students will critically examine issues such as bias in AI decision-making, algorithmic accountability, and the role of AI in peacebuilding efforts.
- Department: Negotiation & Conflict Resolution
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Instructor:
Flynn Coleman
Info - 1.5 points
NARRATIVE ETHICS (CERT)
- Department: Narrative Medicine
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Instructor:
Lauren A Mitchell
Info - 3 points
Oral Health Considerations for Patients
Special Health Care Needs
- Department: Dental and Oral Surgery
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Instructor:
Emily R Byington
Info - 0 points
Oral Health Considerations for Patients
Special Health Care Needs
- Department: Dental and Oral Surgery
- 0 points
SQL
SQL & RELATIONAL DB
- Department: Applied Analytics
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Instructor:
Michael J Coakley
Info - 3 points
SQL
SQL & RELATIONAL DB ONLINE
- Department: Applied Analytics
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Instructor:
Nikolaos Machairas
Info - 3 points
EMPIRICAL METHODS IN BIOETHICS
- Department: Bioethics
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Instructor:
Joanne E Mantell
Info - 3 points
ETHICAL DECISION MAKING FOR COMMUNICATOR
- Department: Strategic Communication
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Instructor:
Khalid Azim
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Instructor:
Jane M McManus
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Instructor:
Skye Cleary
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Instructor:
Roberto Lara Aranda
Info - 3 points
Conflict Analysis at International Devel
Confl Analysis Intl Dev O
Understanding the root causes and drivers of conflict and peace are essential when designing international development interventions of any kind and at all levels. In international development organizations that operate in the fragile and conflict-affected areas of the world, the objective of conflict analysis is a dual one: 1) to improve the effectiveness of international development policy and programming in their contribution to conflict prevention, mitigation, and/or peacebuilding; and 2) to ensure principles of conflict sensitivity and “do no harm” are applied in order to prevent inadvertently worsening existing conflicts or creating new tensions. However, each organization has their own way of undertaking such analysis, which may include an initial literature and desk review, consultations in the field with relevant stakeholders, discussion with the relevant target audience including the Country Director/Resident Coordinator, and final preparation and integration into country strategies and programming. This course will introduce students to the different frameworks and approaches for conflict analysis used within various international development organizations, most significantly within multilaterals like the World Bank (WB) and the United Nations (UN) and its various agencies and entities; as well as government departments and bilateral organizations including the United Kingdom’s Foreign Commonwealth Development Office (FCDO) and the United States Department of State; and finally international non-governmental organizations like Collaborative Learning Projects (CDA). Students will learn how to conduct a conflict analysis (also sometimes called a conflict assessment) at an international organization and will get a chance to work through the issues faced by policymakers in a country-level scenario simulation where they will put the theory and methodologies they have learned to the test. The course will include assigned readings and assignments due before class begins; group and individual assignments for each of the days; and assignments after the active class session ends. During the second day, there will be a discussion with a panel of experts who have conducted conflict assessments at these institutions. Students will leave the course with practical knowledge that will lend itself to conducting conflict assessments at international development organizations and beyond.
- Department: Negotiation & Conflict Resolution
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Instructor:
Catalina Quintero
Info - 1.5 points
Foundations and Social Change: Theories,
This course explores the evolving field of philanthropy by examining its historical foundations and the rationale for the continued existence of philanthropic organizations, like foundations, today. From the industrial-era legacies of figures like Rockefeller and Ford to the modern innovations driven by today's billionaires, students will analyze how generational and societal shifts have shaped the strategies and impact of philanthropy over time.
A key focus of the course is on how philanthropic organizations respond to complex societal issues such as racial justice, climate change, healthcare, and human rights. Through centering diverse perspectives and critical engagement with power structures, this course equips students with the tools to navigate, critique, and influence the philanthropic sector in impactful ways. Students will appraise both the catalytic role philanthropy can play in driving social change and instances where such efforts have backfired and reinforced systematic inequities. The course will further explore how foundations’ missions, values, and goals shape their decisions on funding, project duration, grantee expectations, and impact evaluation methods.
The course will examine different approaches to grantmaking, including social entrepreneurship, effective altruism, social justice grantmaking, and strategic philanthropy. Students will learn the differences across these conceptual frameworks and understand how they influence the ways in which foundations operate. By exploring both the conceptual and pragmatic dimensions of across these frameworks, students will understand the tensions and debates within the philanthropic sector and be well prepared to identify those foundations most likely to support their work.
Students will also analyze the role of foundation program officers as change agents who navigate power, influence, and institutional constraints to drive change. Through case studies, guest speaker sessions, and real-world examples, participants will learn how these professionals influence funding priorities and partnerships in response to societal needs.
Students will develop and pitch a concept for a new funding initiative to a mock foundation board. This exercise will require them to demonstrate an understanding of the foundation’s mission and approach while proposing improvements to its strategic direction. The final assignment will require the student to pull together their funding concept into a Transformative Phil
INTRODUCTION TO PHILOSOPHICAL BIOETHICS
INTRO TO PHILOSOPHICAL BI
In contemporary bioethics, we find ourselves grappling with practically important, and at the same time, philosophically fundamental questions such as: When does someone’s life begin and how should it end? What is the proper role of physicians, nurses and other health care providers and what are the rights of their patients? What is a just and fair way to provide access to health-care services and resources? Which potential uses of new genetic and reproductive technologies would represent a legitimate advance in medicine and which would signify the beginning of a humanly degrading "brave new world"? Indeed, in a society committed to protecting a diversity of lifestyles and opinions, how can citizens resolve significant policy controversies such as whether there should be public funding of human embryonic stem cell research, or a legally protected right to physician assistance in ending one’s life?
The aims of this course are to identify the fundamental ethical questions that underlie contemporary biomedical practice; develop skill in analyzing and clarifying key concepts such as autonomy, justice, health and disease; critically assess the healthcare implications of different ethical outlooks; explore how citizens can reasonably address controversial bioethical issues in a mutually respectful and constructive way.
The course meets once a week for an hour and a half. Live-session interaction and post-session discussion forums play a key role as students explore, in a give-and-take spirit, the pros and cons of each position.
This course is designed for medical students, nursing students, and other healthcare professionals, as well as for students at the graduate or advanced undergraduate level in biology, philosophy, political science, public health, law, and related fields.
- Department: Bioethics
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Instructor:
Arthur Kuflik
Info - 3 points