NONFICTION WORKSHOP
- Department: Writing
- F 10 a.m.-1 p.m.
- W 2 p.m.-5 p.m.
- M 10 a.m.-1 p.m.
- R 10 a.m.-1 p.m.
- T 1:10 p.m.-4:10 p.m.
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Instructor:
Cristen A Beam
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Instructor:
Chloe Jones
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Instructor:
Jaquira Diaz
Wikipedia Info -
Instructor:
Ruth Franklin
Wikipedia Info -
Instructor:
Lis Harris
Wikipedia Info -
Instructor:
Susan Hartman
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Instructor:
Lars Horn
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Instructor:
Mychal Smith
Info - 6 points
Global Economic Environment
- Department: Business Economics
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Instructor:
Tommaso Porzio
h-index: 6 Info - 1.5 points
Global Economic Environment
- Department: Business Economics
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Instructor:
Tommaso Porzio
h-index: 6 Info -
Instructor:
Brett House
Info - 1.5 points
Global Economic Environment
- Department: Business Economics
- MTWRU 9 a.m.-5 p.m.
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Instructor:
Brett House
Info -
Instructor:
Faculty
h-index: 37 Info - 1.5 points
CERAMICS II
This course will focus on using ceramics as a primary art making machine by breaking out of the constraints wedded to this traditional material. Building on the foundation set in Ceramics1, this course will delve further into the technical and historical aspects of the ceramic process as well as into the conceptual ideas in artmaking.
Students will use a self-directed working process to facilitate the incorporation of ceramic materials into their existing art making while also being allowed room to go in their own conceptual direction. Rigorous group and individual critiques will be held on a regular basis.
Content is a priority in this class, along with the further understanding of ceramic processes and materials. The goal is for the student to be proficient in producing their ideas without the obstruction of technical difficulties.
- Department: Visual Arts
- R 10 a.m.-4 p.m.
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Instructor:
Patrice R Washington
Info - 3 points
Quantitative Methods - LAB
Lab section corresponding to CLMT 5002 Quantitative Methods for Climate Applications
- Department: Climate School
- R 4:10 p.m.-6 p.m.
- R 6:10 p.m.-8 p.m.
- 0 points
PROBABILITY
Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
- Department: Statistics
- MW 1:10 p.m.-3:40 p.m.
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Jingchen Liu
CULPA: 2 h-index: 19 Info -
Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
STATISTICAL INFERENCE
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
- Department: Statistics
- MW 1:10 p.m.-3:40 p.m.
- TR 7:10 p.m.-8:25 p.m.
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Instructor:
Daniel Rabinowitz
CULPA: 19 h-index: 34 Info -
Instructor:
Ashley Datta
Info - 3 points
APPLIED ANALYTICS FRAMEWORKS & METHDS II
APP AN FRAMEWORKS & METHODS II
- Department: Applied Analytics
- R 12:10 p.m.-2 p.m.
- T 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
- R 6:10 p.m.-8 p.m.
- F 10:10 a.m.-noon
- W 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
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Instructor:
Joseph Egbulefu
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Instructor:
Vishal Lala
Info - 3 points
APPLIED ANALYTICS FRAMEWORKS & METHDS II
APAN FRMWRKS & MTHDS II ONLINE
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
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Instructor:
Gurgen Hayrapetyan
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Instructor:
Zachary Kurtz
Info - 3 points
LINEAR REGRESSION MODELS
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
STAT COMP & INTRO DATA SCIENCE
STAT COMP & INTRO TO DATA SCI
Corequisites: STAT GR5204 and GR5205 or the equivalent. Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
- Department: Statistics
- F 10:10 a.m.-12:40 p.m.
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Instructor:
Yongchan Kwon
Info - 3 points
Foundations of Clinical Medicine: Tutori
FNDATION CLINICAL MED: TU
- Department: Medicine
- 0 points
Mediation: Practitioner Development
On a daily basis we may encounter conflicts and seek to resolve them through negotiations and other forms of conflict resolution. Some of these are simple and easy to resolve, while others are complex and may require the support of a third party, or
mediator
. In this course we will explore mediation from several points of view and approaches, as listed below under the session headings. We will explore the theories that underlie the field of mediation as we concentrate on building the skills necessary to practice mediation professionally.
Note: This course qualifies as the prerequisite for an apprenticeship opportunity in anticipation of
mediation certification
through a number of Community Dispute Resolution Centers statewide. This course is also Part 146A approved, which is necessary to qualify for participation on a roster in the New York State Court System.
- Department: Negotiation & Conflict Resolution
- UUSU 9 a.m.-5 p.m.
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Instructor:
Jenny Besch
Info - 3 points
ELEMENTARY STOCHASTIC PROCESSE
Corequisites: GR5203 or the equivalent. Review of elements of probability theory. Poisson processes. Renewal theory. Walds equation. Introduction to discrete and continuous time Markov chains. Applications to queueing theory, inventory models, branching processes.
- Department: Statistics
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Adam Q Jaffe
Info - 3 points
PYTHON FOR DATA ANALYSIS
- Department: Applied Analytics
- W 6:10 p.m.-8 p.m.
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Instructor:
Guilherme de Oliveira
Info - 3 points
PYTHON FOR DATA ANALYSIS
PYTHON FOR DATA ANALYSIS ONLNE
- Department: Applied Analytics
- T 8:10 p.m.-10 p.m.
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Instructor:
Max Vilenchik
Info - 3 points
CONFLICT RESOLUTION AND DYNAMICAL SYSTEM
CONF RESOLUTION/DYNAMIC S
Dynamical Systems Theory (DST) is a methodology developed in the hard sciences to understand complex systems—from the weather to the functioning of cells, using mathematical algorithms. We added the lens of social-psychological concepts and practices to better understand how to apply DST to conflict. We are now applying DST to conflict analysis and resolution for larger social problems and conflicts that are protracted, deeply embedded and have multiple complex issues. This DST approach goes beyond linear problem-solving and embraces complexity in new ways. Dynamical Systems and Conflict Resolution (NECR 5210) is a required 3-credit course in the Negotiation and Conflict Resolution Program (NECR). Students are expected to spend on average 20 hours per week on this course, including media, group work, readings, and other assignments. NECR 5210 builds on concepts from Understanding Conflict and Cooperation (NECR 5101), where students became familiar with conflict resolution frames, theories, and models, as well as a basic understanding of the DST approach. This course will further develop and advance student understanding and use of advanced DST concepts and tools that will be useful for scholar-practitioners facing situations that require a systemic approach for more highly complex conflicts. It is a complementary approach that rounds out the other concepts and skills student learn in the program. Throughout this course students will work individually and in groups on multiple case studies, to understand and apply DST methodology, while developing an appreciation for the more fluid and non-linear DST approach.
- Department: Negotiation & Conflict Resolution
- SUUS 9 a.m.-5 p.m.
- 3 points
DISASTER PHILANTHROPY
This course analyzes the ways in which philanthropists and nonprofit organizations plan for and respond to disasters. Disasters create immense need quickly. People have responded generously to many natural and human-created disasters that have led to thousands of victims either domestically or globally. The nonprofit sector has often played a leading role, functioning both on the front-lines with first responders and creating a second response that bridges the period of relief and rebuilding. New technologies have often been deployed to improve fundraising as well as disaster relief. Disasters create both a sense of community born of the common experience of suffering and exacerbate differences within communities as those of lowest means struggle the most to recover. Disaster relief and recovery is ripe with questions about who to help and how to best help, presenting ethical dilemmas for the best intentioned of nonprofit leaders. The course will focus on the United States but both readings and assignments include some international comparisons.
- Department: Non Profit Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Lonni Ryan
Info - 3 points
SOLID WASTE MANAGEMENT
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Haralambos Vasiliadis
Info - 3 points
MICROECONOMIC ANALYSIS II
- Department: Economics
- MW 10:10 a.m.-11:25 a.m.
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Instructor:
Guillaume Haeringer
CULPA: 2 Info - 3 points
MACROECONOMCS ANALYSIS II
- Department: Economics
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Irasema Alonso
CULPA: 12 Info - 3 points
ENVIRNMNT CONFL/RES STRATEGIES
The natural environment provides a wide range of goods and services on which humans depend for survival, identity, livelihoods, and physical and emotional health. Because we depend so directly on the natural environment, environmental conflicts can be extremely complex and difficult to resolve.
Students participating in this course will gain:
1)
grounding in social-ecological and environmental conflict resolution theory;
2)
analytical frameworks for environmental conflict assessment;
3)
exposure to a range of resource management techniques for pursuing environmental conflict resolution; and
4)
knowledge and skills to evaluate the effectiveness of conflict intervention strategies.
Classes will involve a mix of lecture, discussion, simulation and role-playing, and group work.
Students in this course will explore the following meta-level questions surrounding conflict and the environment:
How do environmental factors drive or affect conflict processes?
What are the short- and long-term effects of natural resource governance on social cohesion and stability?
What types of interventions are effective and appropriate for resolving conflicts with environmental drivers?
- Department: Negotiation & Conflict Resolution
- R 6:10 p.m.-8 p.m.
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Instructor:
Matt Gove
Info - 3 points
DIRECTING II
- Department: Film
- R 10 a.m.-1 p.m.
- M 6 p.m.-9 p.m.
- T 10 a.m.-1 p.m.
- M 2 p.m.-5 p.m.
- W 2 p.m.-5 p.m.
- R 6 p.m.-9 p.m.
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Instructor:
Bogdan G Apetri
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Instructor:
Ian W Olds
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Instructor:
Hilary Brougher
Wikipedia Info -
Instructor:
Darya V Zhuk
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Instructor:
Diana Peralta
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Instructor:
Carlo Mirabella-Davis
Info - 3 points
FOUNDATIONS OF SPORTS MANAGEMENT
FOUNDATIONS OF SPORTS MGM
- Department: Sports Management
- R 2:10 p.m.-4 p.m.
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Instructor:
Laurajean Holmgren
Info - 3 points
SUSTAINABLE ENTREPRENEURSHIP
- Department: Sustainability Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Jonathan Hollander
Info - 3 points
TIME SERIES ANALYSIS
Prerequisites: STAT GR5205 Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.
- Department: Statistics
- S 10:10 a.m.-12:40 p.m.
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Instructor:
Franz Rembart
Info - 3 points
NONPARAMETRIC STATISTICS
Prerequisites: STAT GR5205 Statistical inference without parametric model assumption. Hypothesis testing using ranks, permutations, and order statistics. Nonparametric analogs of analysis of variance. Non-parametric regression, smoothing and model selection.
- Department: Statistics
- MW 5:30 p.m.-6:45 p.m.
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Instructor:
Arian Maleki
h-index: 31 Info - 3 points
BAYESIAN STATISTICS
This course introduces the Bayesian paradigm for statistical inference. Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models, Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software.
Prerequisites: A course in the theory of statistical inference, such as STAT GU4204/GR5204 a course in statistical modeling and data analysis such as STAT GU4205/GR5205.
- Department: Statistics
- TR 7:40 p.m.-8:55 p.m.
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Instructor:
Dobrin Marchev
Info - 3 points
CHANGE MANAGEMENT
Change is a necessary and constant part of any organization. The change may be expected, or it may be in reaction to unanticipated external and/or internal factors. In fact, organizations that do not change do not last.
Change initiatives can be exceedingly complex and disorienting, however. The success of a given changeinitiative often rests on the clarity of vision of an organization’s leaders; an accurate and sensitiveunderstanding of the organization’s culture; the involvement, input and buy-in of multiple internal andexternal stakeholders to the change objectives and process; leaders’ ability to leverage technology tocommunicate and drive change; and an organization’s analytical capabilities to document and measureprogress, and continue to iterate and improve.
In light of these requirements, this course seeks to ask: What is the role of the HCM leader in facilitatingchange within an organization? The aims of this course are not abstract. This course will help studentsdevelop skills to support actual organizations (their own and/or others) through change. Lectures, readings,videos, in-class and asynchronous discussions, and assignments will all focus on the practical application ofchange theory and empirical research to real-world organizational contexts.
This course is an advanced elective within the Master of Science in Human Capital Management program.Prerequisites include “HCMPS5100: Introduction to Human Capital Management,” and “HCMPS5150:Integrated Talent Management Strategies.” Some familiarity with people analytics and digital approaches toHuman Capital Management will also be helpful.
- Department: Human Capital Management
- T 8:30 p.m.-10 p.m.
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Instructor:
Solange Charas
h-index: 4 Info - 3 points
SPECIAL TOPICS: Executive Conflict Coach
Executive Conflict Coachi
The course offers an in-depth exploration of the foundational principles and skills of conflict coaching. This rigorous curriculum is designed to equip students with the expertise necessary to assist themselves and others in cultivating perspectives, mindsets, and strategies that espouse a constructive and collaborative conflict approach. Inherent to human experience, conflict has outcomes primarily shaped by one's chosen approach.
A confrontational stance often results in hampered communication, obstructionism, and a power struggle. Conversely, a collaborative approach accentuates effective communication, amiability, assistance, trust, and coordinated endeavors. This methodology frames conflicting interests not as adversarial positions, but as shared challenges necessitating shared resolution. Central to the ethos of this course is the recognition of conflict as a conduit for growth, its potential for constructive engagement, and the imperative for adaptive and visionary leadership embodying executive presence.
Conflicts often evoke a spectrum of emotions in individuals, making them one of the most demanding challenges a coach might assist clients with. Such moments of contention serve as a litmus test for what renowned executive coach John Mattone terms the "Inner Core" of an astute leader. Properly navigated, conflicts become avenues for leaders to refine their "Inner Core" and bolster their executive maturity.
This course is specifically designed for graduate students who aim to expand their expertise in navigating and mediating conflicts within the workplace. Additionally, it is well-suited for students seeking to enhance their own interpersonal skills, develop a deeper understanding of the dynamics of conflict, and foster a more collaborative and harmonious work environment.
- Department: Negotiation & Conflict Resolution
- US 9 a.m.-5 p.m.
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Instructor:
Aldo Civico
Wikipedia Info - 1.5 points
THE EARTH'S CLIMATE SYSTEM
- Department: Sustainability Management
- T 4:10 p.m.-6 p.m.
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Instructor:
Benjamin I Cook
CULPA: 3 h-index: 56 Info - 3 points
SURVIVAL ANALYSIS
Prerequisites: STAT GR5205 Survival distributions, types of censored data, estimation for various survival models, nonparametric estimation of survival distributions, the proportional hazard and accelerated lifetime models for regression analysis with failure-time data. Extensive use of the computer.
- Department: Statistics
- F 1:10 p.m.-3:40 p.m.
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Instructor:
Zhiliang Ying
CULPA: 1 Wikipedia h-index: 62 Info - 3 points
SAMPLE SURVEYS
Prerequisites: STAT GR5204 Introductory course on the design and analysis of sample surveys. How sample surveys are conducted, why the designs are used, how to analyze survey results, and how to derive from first principles the standard results and their generalizations. Examples from public health, social work, opinion polling, and other topics of interest.
- Department: Statistics
- TR 2:40 p.m.-3:55 p.m.
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Instructor:
Rongning Wu
CULPA: 1 Info - 3 points
DIRECTING ACTORS II
- Department: Film
- T 2 p.m.-5 p.m.
- R 6 p.m.-9 p.m.
- T 2 p.m.-5 p.m.
- T 6 p.m.-9 p.m.
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Instructor:
Shira-Lee Shalit
Info -
Instructor:
Emil Benjamin
Info -
Instructor:
Jodie Markell
Wikipedia Info -
Instructor:
John Rubin
Info - 3 points
NARRATIVE THERAPY
Whether alone with ourselves, or in close relationships with important people in our lives, dominant narratives shape our encounters by bringing certain aspects of our experience to the fore and marginalizing others. Narrative Therapy is a school of thought developed by Michael White, the Australian psychotherapist and social activist. Influenced by Social Constructionism and the writings of Michel Foucault (among others), White sought to understand the ways in which systems of power and control on the societal level shape our most intimate experiences. There is a price we pay for the hegemony of dominant narratives (as Foucault would say) as other aspects of our experience become marginalized and pushed out of awareness in this process. But by analyzing the dynamics by which certain narratives come to hold sway over us, and by considering what goes missing from our experience, Narrative Therapy seeks to undo this price by re-evaluating the stories we live by so that they can be more expansive and less limiting.
In this course we will look at the basic concepts and theoretical underpinnings of Narrative Therapy, and then begin to understand the essential techniques and areas of application of this important therapeutic school. This course does not train students to practice therapy. Our emphasis instead will be on developing ideas for ways in which the concepts and techniques introduced by Narrative Therapy can inform the practice of Narrative Medicine.
Questions we will address include:
● What can we learn from Narrative Therapy about the ways people structure stories about themselves, and how does this affect their relationship with their bodies, with illness and their conceptions of healing?
● What are the mechanisms by which dominant narratives from the social sphere are integrated into an individual’s self concept, and how does this then influence power relations in the clinical encounter?
● Theorists within Narrative Therapy strive to foster a non-hierarchical, non-expert stance in the clinical encounter. What are the possibilities and the challenges inherent in maintaining this?
- Department: Narrative Medicine
- M 3:10 p.m.-5 p.m.
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Instructor:
Michael E Davidovits
Info - 3 points
BUSINESS INTELLIGENCE
BUSINESS INTELLIGENCE IN SPRTS
- Department: Sports Management
- M 6:10 p.m.-8 p.m.
- W 6:10 p.m.-8 p.m.
- 3 points
STATISTICAL MACHINE LEARNING
Prerequisites: STAT GR5206 or the equivalent. The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
- Department: Statistics
- MW 10:10 a.m.-11:25 a.m.
- MW 6:10 p.m.-7:25 p.m.
- TR 1:10 p.m.-2:25 p.m.
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Instructor:
Genevera Allen
Info -
Instructor:
Alberto Gonzalez Sanz
Info -
Instructor:
Chenyang Zhong
Info - 3 points
APPLIED DATA SCIENCE
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
- Department: Statistics
- W 6:10 p.m.-8:55 p.m.
- R 6:10 p.m.-8:55 p.m.
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Instructor:
Alex Pijyan
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Instructor:
Haiyuan Wang
Info - 3 points
APPLIED DATA SCIENCE
Climate Pred Challenges
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
- Department: Statistics
- T 4:10 p.m.-6:40 p.m.
- 3 points
APPLIED DATA SCIENCE
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
- Department: Statistics
- R 4:10 p.m.-6:40 p.m.
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Instructor:
Bianca Dumitrascu
Info - 3 points
Industrial Organization
This is a topics course in industrial organization intended for MA students. The focus of the class is to familiarize students with the way economists in academic, antitrust regulatory and private sector settings approach research questions related to topics such as conduct, pricing, competition or ownership and control in various market structures (e.g., homogenous product, differentiated product, two-sided, vertical markets). The goal of the course is threefold. For each of the market structures considered:
(i)
familiarize you with the foundational economic theories;
(ii)
provide you with the empirical tools you can apply in the future to conduct your own research; and
(iii)
introduce to you key antitrust issues regulators have been focusing on and approaches used in practice to analyze these issues by antitrust economists.
- Department: Economics
- W 6:10 p.m.-8 p.m.
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Instructor:
Ildiko Magyari
Info - 3 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
- W 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
- M 4:10 p.m.-6 p.m.
- R 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.
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Instructor:
Rich Lauria
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Instructor:
Fenton Aylmer
Info -
Instructor:
Muriel Rachid Campomizzi
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Instructor:
Rajat Baijal
Info -
Instructor:
Alan Cheung
h-index: 5 Info -
Instructor:
Michael Schidlow
Info -
Instructor:
Violet Diamant
Info -
Instructor:
Jean Michel Ngalikpima
Info -
Instructor:
Chris Lee
Info -
Instructor:
Melody Feinberg
Info -
Instructor:
Anthony Wong
Info -
Instructor:
Rich Lauria
Info -
Instructor:
R S Forston
Info - 3 points
FOUNDATIONS OF LABOR & EMPLOYMENT LAW
- Department: Human Capital Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Susan Alevas
Info - 3 points
Open Source Intelligence: Research for C
OSINT: Res for Confl Anal
The elective "Open Source Intelligence: Research for Conflict Analysis"
course is designed to introduce students to key practical insights, tips, and professional skills necessary for any successful conflict resolution practitioner. In this course, students will be required to practically apply some of the tools and techniques of NECR, and appreciate the importance of combining and reformulating the basic NECR concepts in order to serve their exact needs in the field.
Through this course, students have the opportunity to apply what they have learned in the classroom, learn additional practical research skills, and adjust them to their own very specific professional aspirations in the field. This course also helps students strategize their next professional steps in the field in a concise, methodical way.
It is important to keep in mind that the Conflict Resolution field at large is quite diverse, and our students have unique backgrounds and future aspirations. Therefore, this course is customized in coordination with each student during 1-on-1 sessions that take place at the beginning of the semester, in order for each student to be working on something that is clear, and has practical value for his/her very specific professional interests.
As with many things in life, proactiveness, creativity, and an entrepreneurial spirit are keys to success for our very challenging field. Each student will be having a required 1-on-1 session with the instructor, where the instructor will help the student explore ways to creatively strategize their next professional steps as practitioners and also develop the instructions for the final paper that match the needs of the student.
Overall, the goal is to provide students with an enriching, personal experience that helps them rethink their role as practitioners and strategize better their short/ long term goals in Negotiation and Conflict Resolution.
- Department: Negotiation & Conflict Resolution
- U 9 a.m.-11:30 a.m.
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Instructor:
Nikolas Katsimpras
Info - 1.5 points
Building a Sustainable Detroit: A Case
Once known as the arsenal of Democracy, the birthplace of the automobile assembly line, and the model city of America, 21st Century Detroit was emblematic of deindustrialization, decay, and insolvency. Following the largest municipal bankruptcy in US history, Detroit is now being reframed in both local and national media as a comeback city with opportunity and possibility for all - urban pioneers, global investors, a creative class of new professionals, and suburbanites seeking a return to urban grit.
Despite these narratives, Detroit remains highly segregated - racially, geographically, economically, and socially. While downtown is prospering, neighborhoods are still largely blighted and contaminated with legacy uses that remain unremediated. Over 30,000 houses and other structures have been demolished in the past 8 years, a process that is under-regulated and contributes to both environmental and infrastructure harm. To the extent new investments are improving the condition of housing and infrastructure in some strategic areas, these investments are displacing long term residents who remain at risk of eviction or foreclosure from their homes. Detroit remains one of the poorest big city in America and the poverty that remains is seemingly intractable. At present, only 36% of residents earn a living wage.
Detroit’s present condition is rooted in a protracted history of racist laws, policies, and practices that deny full citizenship to Black Detroiters, undermine Democracy, and position the city as a poor colony within a thriving metropolis. Racism has disfigured the social, physical and economic landscape of Detroit to produce profound levels of neglect, abuse, and exploitation of its residents, resulting in wealth extraction, housing insecurity, healthy food and water scarcity, educational malpractice, and environmental destruction, all within the framework of wealth attraction, tax incentives, subsidized growth and capital accumulation in the greater downtown.
Through this course, we will examine the thesis that sustainability and racism cannot co-exist; that sustainability is rooted in inclusive social wellbeing now and in future generations, whereas racism is rooted in hoarding of power and resources for one dominant group. This hoarding of resources for a favored population impairs preservation for future generations. Furthermore, environmental racism disconnects the consequences of environmental destruction from its beneficiari
- Department: Sustainability Management
- W 6:10 p.m.-8 p.m.
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Instructor:
Donna Givens Davidson
Info - 3 points
Fundamentals of Economic and Financial I
Course Overview
Investors in residential and commercial real estate, those in infrastructure and supply-chain, to name a few examples, are exposed to risks of flooding, droughts and forest fires as a consequence of the reverberations of climate change on environmental factors and weather. Such risks are higher for stakeholders with properties close to the coast or in regions where drought and forest fires are increasing (e.g., the Western U.S.) as well as for financial institutions that finance their purchases and hold their securities. Risks associated with sea level rise, flooding, inundation and other extreme events have generally not been properly assessed nor quantified and it is currently hard for investors to assess the risks that they now face, and will face in the future, from climate change. Moreover, the consequences of climate change go beyond the financial and economic ones, as in the case of climate justice, in which the social cost of the climate change impacts is paid by those who are the least responsible and that are the most vulnerable from a socio-economic perspective.
The course will focus on fundamentals on economic and financial impacts of climate change. We will discuss the major impacts of climate change from a financial and climate perspective. This work will be spread throughout the semester through presentations by the teacher, guest speakers and in-class discussions from the readings. The class will also focus on specific topics for the required final project. Students will be able to use the SEPHER dataset, developed at Lamont and focusing on real estate, socio-vulnerability of people exposed to climate change impacts, with emphasis on racial issues, economic wealth and phenomena such as climate gentrification and housing. The students will be exposed to the dataset at the beginning of the course and will be taught how to visualize the data without any computer science knowledge.
Students will explore the state of the art of current literature on the topics described above and discuss in class about the most updated findings and their economic drivers or implications. Then, students will be exposed to the use of Geographic Information System (GIS) to map quantities of interest using SEPHER 2.0. With this powerful and yet simple tool, students will be able to visualize variables to analyze maps to develop ideas and support hypothesis integration and growth. The students will be exposed to training when they will be doing practical hands-on exercises to create
- Department: Sustainability Science
- M 4:10 p.m.-6 p.m.
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Instructor:
Marco Tedesco
Wikipedia h-index: 47 Info - 3 points
DATA ANALYSIS AND VISUALIZATION IN SUSTA
DATA ANALYSIS & VIS IN SU
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Gregory G Yetman
Info - 3 points
VALUE OF BRAND
This course introduces students to the economic importance of brand building activities based on the proven link between brand equity and business performance. Students examine the role that strategy and communication play in building brand equity, and explore how the changing media landscape is causing companies to rethink traditional brand-building practices. Students will use critical thinking, case-analysis, market research, and strategic presentations to persuade a business decision maker to invest in brand building efforts. For students who are interested in building stronger brand cultures within their organizations (for both the profit and nonprofit sectors) and/or for pursuing careers on the brand side of strategy, this course answers the question: Why should businesses and institutions care about branding?
- Department: Strategic Communication
- W 8:10 p.m.-10 p.m.
- 3 points
ORGANIZATIONAL STRATEGY AND LEARNING
ORG STRAT AND LEARNING
- Department: Human Capital Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Sara Daly-Padron
Info - 3 points
PROG FOR QUANT & COMP FINANCE
This course covers programming with applications to finance. The applications may include such topics as yield curve building and calibration, short rate models, Libor market models, Monte Carlo simulation, valuation of financial instruments such as options, swaptions and variance swaps, and risk measurement and management, among others. Students will learn about the underlying theory, learn coding techniques, and get hands-on experience in implementing financial models and systems.
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
- S 10:10 a.m.-12:40 p.m.
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Instructor:
Zhiliang Ying
CULPA: 1 Wikipedia h-index: 62 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
- MW 4:10 p.m.-5:25 p.m.
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Instructor:
Steven Campbell
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
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Graeme Baker
Info - 3 points
PRACTITIONER'S GUIDE TO GLOBAL INNOV
PRACT GUIDE TO GLOBAL INN
This course is for leaders who want to challenge and transform existing ways of working for a greater positive impact on society. You will build the technical skills needed to bring Human-Centered Design (HCD) and innovation to projects and programs through a combination of lectures and assignments. At a higher level, you will also better understand what is needed to launch and manage innovation strategies and projects at NGOs and INGOs. This course builds a foundational understanding of innovation strategies, tools, and ecosystem in the social impact sector. Together, we will also heavily critique the status quo – including power dynamics, innovation methods and consider the importance of ethics, diversity, equity, inclusion, and accessibility (DEIA) – all with the motivation to build an improved practice of innovation. The course will bring together perspectives and guest speakers from across the globe who are diverse ecosystem actors, including innovators and implementers, funders, consultants, and
conveners.
This course has three phases. Phase 1 will provide a foundational understanding of innovation strategy, methodology, and tools, including human-centered design, user personas, journey mapping, etc. In Phase 2, you will be able to better contextualize innovation in the social impact sector, particularly from the perspective of NGOs, INGOs, and U.N. agencies. We will also dive into how DEIA, power, and creative capacities intersect with designing for social impact and learn practical skills for structuring an innovation project. Finally, in Phase 3, the instructor will share perspectives and lessons from practicing innovation for over a decade and help you identify areas of opportunity and entry points for your careers.
As future leaders and innovators in the social impact sector, you will be encouraged to think beyond how thingscurrently operate and expected to explore where and how the innovation sector itself needs to evolve. You will
complete this course with more clarity on your journey in innovation with coaching from the instructor and engaging
conversations with guest speakers.
- Department: Non Profit Management
- R 6:30 p.m.-8 p.m.
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Instructor:
Chandani Punia
Info - 3 points
GLOBAL COMMUNICATION FOR PROFESSIONALS
GLOBAL COMM FOR PROFESSIONALS
The global knowledge economy, cross-border market permeability, and worldwide talent mobility have accelerated the rise of multinational and domestic organizations comprised of individuals from many different cultural and linguistic backgrounds. As these trends strengthen, so, too, does the likelihood that the 21st-century worker will spend a significant part of her/his professional career in a multicultural workplace. While such diversity affords great benefits to organizations, their employees and clients, it is often accompanied by a rise in communication misfires and misunderstandings that can undermine individual, team, and organizational performance.
- Department: Strategic Communication
- MTWRF 9 a.m.-5 p.m.
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Instructor:
Kristine Billmyer
Info - 3 points