FINANCE FOR EFFECTIVE HCM

• Department: Human Capital Management
• W 6:30 p.m.-8 p.m.
• Instructor: Solange Charas
  h-index: 4 Info
• 3 points

APPLIED BUSINESS INTEL FRAMEWORKS IN SPR

APPL BUS INTEL FRAMEWORKS

This course will build on the topics and tactics covered in Business Intelligence in Sports to create a real-life learning lab where students can apply key concepts and expand their techniques against real data from a partner professional sports team. More advanced skills around SQL, Tableau, and R will be developed and applied to relevant scenarios using available data such as customer demographics, behaviors, tickets, attendance, social media, marketing, surveys, and sponsorships. Students will leave the class prepared to join a team’s business intelligence department and make immediate contributions.

• Department: Sports Management
• W 6:10 p.m.-8 p.m.
• Instructor: Jordan Rutner
  Info
• 3 points

INTEGRATIVE CAPSTONE WORKSHOP

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• 3 points

AI/ML for Leaders

Generative AI represents a pivotal technological evolution with profound implications for the global economy and modern society. This course delves into the decades-long development of AI and machine learning, emphasizing its emergence as a critical economic and strategic force. As we explore this technology, we will assess its potential to revolutionize industries, enhance capabilities, and introduce complex challenges related to security, identity, and ethical considerations.

In this dynamic landscape, both incumbent businesses and governmental bodies face the urgent need to adapt to this disruption and the transformative changes it heralds. This course seeks to unpack the catalysts of this technological surge, its foundational principles, and the critical knowledge required for modern leadership in the AI era.

• Department: Technology Management
• M 6:10 p.m.-8 p.m.
• Instructor: Raghvender Arni
  Info
• 3 points

APPLIED CONFLICT RESOLUTION: FROM THEORY

This course explores the intersection of theory and practice in conflict resolution, giving students the opportunity to apply theories, models, and frameworks to real world scenarios. Students will analyze case studies, review current events, and bring to bear their own experiences in international, organizational, community and interpersonal conflicts in an interactive setting as they continue to develop and hone their critical thinking and conflict analysis skills. 

Drawing from the disciplines of social and clinical psychology, political and organizational sciences, and international relations, conflict resolution practitioners have at their disposal a wealth of research that can inform their analysis of a situation and how to assist parties to mitigate, de-escalate and prevent conflict.

Participants in this class engage with the course readings, instructors, and each other to critically analyze and deconstruct complex conflicts in a variety of contexts. A focus on the actors, issues, structures, strategies, and processes inherent in a conflict will be used to identify opportunities to change conflict dynamics. Applying conflict resolution constructs and frameworks such as interdependence, intergroup conflict, social identity, bias, peacebuilding, power dynamics, culture, and negotiation frameworks, are among the key learnings integrated into the course.

The competencies advanced in this class are intended to be applicable beyond the program into other areas of life. Students will be empowered to reflect critically on texts, select relevant data, understand the applicability of a theory, and offer results-based recommendations in contexts ranging from global to personal.

• Department: Negotiation & Conflict Resolution
• R 6:10 p.m.-8 p.m.
• Instructor: Christine D Straw
  Info
• 3 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: Summer Session (SUMM)
• MTWR 4:30 p.m.-6:05 p.m.
• Instructor: Young S Kim
  CULPA: 5 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: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Ashley Datta
  Info
• 3 points

APPLIED ANALYTICS FRAMEWORKS & METHDS II

APP AN FRAMEWORKS & METHODS II

• Department: Applied Analytics
• R 8:10 p.m.-10 p.m.
• Instructor: David Shilane
  Info
• 3 points

APPLIED ANALYTICS FRAMEWORKS & METHDS II

APAN FRMWRKS & MTHDS II ONLINE

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Gurgen Hayrapetyan
  Info
• 3 points

ADVANCED NEGOTIATION

• Department: Negotiation & Conflict Resolution
• MTW 9 a.m.-5 p.m.
• Instructor: Beth Fisher-Yoshida
  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.

• Department: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Daniel Rabinowitz
  CULPA: 19 h-index: 34 Info
• 3 points

STAT COMP & INTRO DATA SCIENCE

Prerequisites: STAT GU5204 and STAT GU5205 Open to MA students in Statistics only 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: Summer Session (SUMM)
• MTWR 4:30 p.m.-6:05 p.m.
• Instructor: Dobrin Marchev
  Info
• 3 points

ADVANCED MEDIATION FOR BIOETHICS

ADV MEDIATION FOR BIOETHI

• Department: Bioethics
• WRFMT 9 a.m.-5 p.m.
• Instructor: Jenny Besch
  Info
• 3 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
• SSUU 9 a.m.-5 p.m.
• Instructor: Jenny Besch
  Info
• 3 points

PYTHON FOR DATA ANALYSIS

• Department: Applied Analytics
• R 6:10 p.m.-8 p.m.
• Instructor: Helga Hartelt Baez
  Info
• 3 points

PYTHON FOR DATA ANALYSIS

PYTHON FOR DATA ANALYSIS ONLNE

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• 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
• MTW 9 a.m.-5 p.m.
• Instructor: Camilo Azcarate
  Info
• 3 points

SUSTAINABLE ENTREPRENEURSHIP

• Department: Sustainability Management
• M 6:10 p.m.-8 p.m.
• Instructor: Jonathan Hollander
  Info
• 3 points

SOCIAL JUSTICE: NARRATIVES OF INEQUITY (

• Department: Narrative Medicine
• 3 points

Time Series Analysis

Open to MA students in Statistics only Prerequisites: STAT GU4205 or the equivalent. 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: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Rongning Wu
  CULPA: 1 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: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Benjamin K Goodrich
  Info
• 3 points

PRACTICUM IN PEACEBUILDING

• Department: Negotiation & Conflict Resolution
• MTWRUMT 9 a.m.-5 p.m.
• 3 points

SUSTAINABLE AGRICULTURE

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Bruce Kahn
  Info
• 3 points

STATISTICAL MACHINE LEARNING

Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only 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: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Alex Pijyan
  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
• T 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Anthony Wong
  Info
• Instructor: Rajat Baijal
  Info
• 3 points

FOUNDATIONS OF LABOR & EMPLOYMENT LAW

FND OF LABOR & EMP LAW

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• Instructor: Lori B Rassas
  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.-11:15 a.m.
• Instructor: Nikolas Katsimpras
  Info
• 1.5 points

EMERGING AND NICHE SPORTS LEAGUES

EMERGING & NICHE SPORTS L

The creation and maintenance of sports leagues is a nuanced and complex endeavor. This course examines the format, hierarchy, membership, governance, and operational efficiencies of several sports leagues that have been launched with varying levels of success. Through a combination of lectures, case studies and guest speakers, students will learn about the ideation, funding, legal aspects, marketing, media strategy and monetization of these businesses, both domestically and globally. Students will gather data about emerging sports leagues of the past and present and conduct research on the leagues of their choice. The culminating project in this course will be an original proposal by student groups of a new sports league, addressing all of the aforementioned dimensions in a formal presentation to potential ‘investors.’ Students will present their proposal via online video conference for instructor feedback following the block week. This course is ideal for students who have an interest in the structural and operational decisions that affect the success and sustainability of sports leagues and their members.

This is an elective course for the M.S. program in Sports Management; students in the program may take this course when allowed by their curriculum requirements. Students outside of the Sports Management program may take this course upon approval of the Academic Program Director.

• Department: Sports Management
• MTWRF 9 a.m.-5 p.m.
• Instructor: Scott Rosner
  Info
• 3 points

CLINIC ON CONFLICT AND COLLABORATION IN

NATURAL RESOURCE MANAGEME

• Department: Negotiation & Conflict Resolution
• FSMTWRF 9 a.m.-5 p.m.
• Instructor: Joshua Fisher
  h-index: 8 Info
• 3 points

WORKS OF ART

• Department: Narrative Medicine
• F 6:10 p.m.-8 p.m.
• Instructor: Rika Burnham
  Info
• 3 points

STATISTICAL METHODS FOR FINANCE

Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. Open to MA students in Statistics only 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: Summer Session (SUMM)
• TR 9 a.m.-12:10 p.m.
• Instructor: Hammou El Barmi
  CULPA: 8 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
• FMW 4:10 p.m.-6 p.m.
• Instructor: Diego Kolsky
  Info
• 3 points

CONTENT STRATEGY

CONTENT STRATEGY (ONLINE)

Sitting at the intersection of business strategy, digital development, user experience, communication, and publishing, content strategy has emerged over the last few years as a discipline examining the purpose behind content (in all manifestations) and how it supports business, organizational, and user goals. While it originated in digital web design and user experience, content strategy now encompasses a much broader set of considerations and addresses content creation, distribution, and governance across multiple channels, especially the interplay among digital, social, and traditional media. Content strategy provides a holistic approach for unlocking the value behind content and for increasing its effectiveness in achieving business and organizational objectives. This course will present the fundamentals of content strategy and explore the discipline’s approaches, techniques, and tools that course participants can apply directly to the content situation in their own organization. It will draw parallels with – and highlight distinctions among – traditional communication strategy, publishing, and content strategy, and provide students with a framework to create a sustainable program grounded in meaningful, actionable content.

• Department: Strategic Communication
• W 8:10 p.m.-10 p.m.
• Instructor: Jenny M Fernandez
  Info
• 3 points

Social Justice and Conflict Resolution i

Social Justice & Conflict

NECR 5270 is a three-credit summer practicum course designed to expose students to the role of social justice in conflict resolution analysis and practice, using New York City as our laboratory. Each summer, we will focus on a single, challenging question facing NYC at the intersection of conflict resolution and social justice, including how to respond to gang violence, how to address inequality, how to manage immigration and more. Within the chosen topic, we will explore the historical and theoretical intersections between the fields of social justice and conflict resolution, drawing on our conflict analysis and resolution skills to explore concrete policy options and community strategies. The course builds on the historical connection between conflict resolution and social justice, particularly as it emerged during the civil rights movement, where nonviolent resistance and negotiation were used to challenge systemic oppression. It also draws on the foundational work of Morton Deutsch at Columbia University, whose research on cooperation, competition, and social justice highlights how power imbalances can perpetuate conflict. Through critical dialogue, case study analysis, and practitioner-led workshops, students will develop culturally sensitive, sustainable, and community-centered.

We will focusing on needs-based strategies for addressing gang violence in New York City, while critically examining the role of bias in our work as conflict resolution scholars and practitioners. Students will analyze the social, economic, and psychological factors that drive individuals toward gang involvement, and learn about gang structures and the role of gang rivalries in driving crime. In addition to classroom learning, students will participate in fieldwork designed to expose them to experts, policymakers, activists, and practitioners working directly on issues related to gang violence in New York City. These immersive experiences will offer opportunities to engage with real-world challenges while critically reflecting on how biases—both personal and systemic—affect the implementation of violence prevention strategies and conflict resolution efforts. Fieldwork activities may include visits to local violence prevention programs, meetings with law enforcement officials focused on reducing bias in community engagement, and discussions with activists leading restorative justice initiatives. By integrating theoretical knowledge with practical experiences, students will be equipped to design innovative, needs

• Department: Negotiation & Conflict Resolution
• M 6:10 p.m.-8 p.m.
• Instructor: Peter Dixon
  Info
• 3 points

LEADING CROSS CULTURAL GLOBAL ORGANIZATI

LDNG CROSS CULTURAL GLOBA

We would like to offer this course online as well as on campus.

• Department: Human Capital Management
• R 8:30 p.m.-10 p.m.
• Instructor: Janet Walsh
  Info
• 3 points

RESEARCH DESIGN

RESEARCH DESIGN ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: David Shilane
  Info
• 3 points

PRACTICUM

• Department: Strategic Communication
• R 6:10 p.m.-8 p.m.
• 3 points

CAPSTONE SEMINAR

• Department: Human Capital Management
• W 6:10 p.m.-8 p.m.
• W 8:30 p.m.-10 p.m.
• Instructor: Sam Liu
  Info
• Instructor: Edna B Chun
  Info
• 3 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
• W 6:30 p.m.-8 p.m.
• Instructor: James W Lauckhardt
  Info
• Instructor: Jessie H Lee
  Info
• 3 points

Physical Assessment

PHYSICAL ASSESSMENT: LEC

This course will develop the knowledge and skills necessary for conducting comprehensive and focused health assessments for individuals with emphasis placed on interviewing skills, health histories, and physical and psychosocial findings in the well person. Communication and record keeping skills are developed.

• Department: Nursing
• T 1 p.m.-4:50 p.m.
• Instructor: Laura J Graafland
  Info
• 3 points

Strategic Consulting for Knowledge-based

STRATGIC CONSLTNG FOR KNW

The primary objective of this course is to become familiar with the typical phases of an internal or external consulting project. The course is designed to provide a deep understanding of the typical challenges, opportunities,  phases, and methods for conducting a successful consulting assignment for knowledge-based organizations. A  typical strategic consulting assignment includes the following phases: organization assessment, sponsor/client  relationship, gathering data, diagnosis issues, implementation, and measurement. Drawing on examples from a  variety of organizations, this course will focus directly on strategies for building a successful knowledge service or  product for organizations or institutions. We will provide knowledge of foundational frameworks and theories and  the need for tailored approaches for different clients. Students will get hands-on experience diagnosing and  proposing knowledge strategies for improving organizational effectiveness and competitiveness.

Successful consulting, whether internal or external, requires many capabilities and, at heart, is dependent on the  client-consultant relationship. Students will be engaged in working on a simulated consulting assignment based on  the current organization in which they work. Alternatively, students may discuss with the faculty to be assigned to  work with a voluntary organization seeking student input. During the term, each student will complete individual  and team assignments that build on the deliverables needed for an actual consulting assignment. By developing  expertise in strategic leadership consulting, students will gain credibility, competence, and confidence in their ability  to communicate, design, develop, and provide knowledge and change services to an organization and society.  During the semester, students will learn strategies for building knowledge services, including the models, methods,  processes, and social factors that promote successful change.

This course is designed for students who are or will be working in positions that require internal or external  organizational consulting skills or in positions that require managing organizational change initiatives. No  prerequisites.

• Department: Information & Knowledge Strat
• T 8:10 p.m.-10 p.m.
• Instructor: Edward J Hoffman
  Info
• 3 points

NARRATIVE ETHICS (CERT)

• Department: Narrative Medicine
• 3 points

NARRATIVE ETHICS (CERT)

• Department: Narrative Medicine
• 3 points

SQL

SQL & RELATIONAL DB

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: Day Yi
  Info
• 3 points

SQL

SQL & RELATIONAL DB ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Nikolaos Machairas
  Info
• 3 points

EMPIRICAL METHODS IN BIOETHICS

• Department: Bioethics
• TR 5:30 p.m.-7:30 p.m.
• Instructor: Nora Jacobson
  Info
• 3 points

STRATEGIC WORKFORCE PLANNING

• Department: Human Capital Management
• T 8:30 p.m.-10 p.m.
• Instructor: Mark S Baker
  Info
• 3 points

Special Topics in Philosophical Bioethic

Advanced Philosophical BI

This course is designed to afford students significant opportunity to explore fundamental bioethical issues in a philosophically searching way. For example, it is generally thought that health matters. But then what is health? And how does it matter? What is justice in respect to health-care and the other social determinants of health? Do competing theories of justice (e.g., liberal, libertarian, utilitarian) offer incompatible solutions to the question of healthcare justice? Or can a workable “overlapping consensus” at the public policy level nevertheless be achieved?

Should a healthcare professional be permitted, on grounds of conscience, to refuse to provide a healthcare service to which people are lawfully permitted? Indeed, what should count as “conscience”? In the aftermath of the recent Supreme Court decision concerning abortion, some have argued for a right to conscientiously insist on providing reproductive services that have been legally prohibited. How are we to sort through and resolve this complicated set of issues?

Could a meaningful personal understanding of what it means for someone to have died nevertheless not be suitable as the basis for a legal declaration of death? Why not? Should there be a “conscience clause” option whereby someone can specify in advance the conception of death to be applied in that individual’s own case? Would every possible criterion be available or would certain criteria have to be excluded? Which? Why?

The population in this and many other societies is aging and putting increasingly significant demands on the healthcare delivery system. Should healthcare be rationed according to age?  Would it be unfair to young people not to give weight to that factor—lest they lose out on a fair chance to live as long as society’s seniors already have? What is healthcare justice across the generations?

As researchers gain a fuller understanding of the aging process, it may soon be possible to genetically engineer a significant extension (even doubling?) of human life-span. Is this an appropriate objective for healthcare science to be pursuing?  Is the point of healthcare to extend human life as far as possible by whatever means? Is aging a kind of “disease” in its own right? Would life so dramatically extended be beneficial or burdensome?

The topics for this course have been selected in view of (i) how fundamental they are to bioethical thinking (e.g., What is health?

• Department: Bioethics
• MW 6 p.m.-8 p.m.
• Instructor: Arthur Kuflik
  Info
• 3 points

STRATEGIC RISK MANAGEMENT

Review of the types of strategic risks, such as a flawed strategy, inability to execute the strategy, competitor risk, supply chain risk, governance risk, regulatory risk, M&A risk, international risk, etc. Includes case studies, research, and common mitigation techniques, such as strategic planning practices, management techniques, governance practices, supply-chain management, etc.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Joe Calandro
  Info
• Instructor: Celia Kapsomera
  Info
• Instructor: Yvonne Pytlik
  Info
• 3 points

BASKETBALL ANALYTICS

In this course, students will develop a working knowledge of the practical application of analysis and models used to make management decisions within an organization and a professional league. Basketball Analytics will explore the use of data and statistics to inform decision making in the National Basketball Association (NBA). Utilizing data made available through the NBA and other publicly available resources, students will learn to use analytics to ask and answer the right questions and provide best practice solutions through critical thinking.

• Department: Sports Management
• M 8:10 p.m.-10 p.m.
• Instructor: Joshua Orenstein
  Info
• 3 points

MACHINE LEARNING: CONCEPTS & APPLICATION

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Adrian Heilbut
  h-index: 13 Info
• 3 points

OPERATIONAL RISK MANAGEMENT

Review of the types of operational risks, such as technology risk (e.g., cyber-security), human resources risk, disasters, etc. Includes case studies, risk analysis frameworks and metrics, and common mitigation techniques, such as insurance, IT mitigation, business continuing planning, etc.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Lisa Broomer
  Info
• Instructor: Penny Cagan
  Info
• 3 points

INCLUSIVE LEADERSHIP

This course seeks to introduce students to the latest theory, research and practice of “Inclusive Leadership,” an evolving framework, for understanding the role of people leaders, teams, and individual contributors in cultivating diverse, equitable, and inclusion environments in companies and organizations. This interactive, intensive course will leverage insights, research, and experiences of leading scholars and practitioners in the fields of leadership, diversity, and inclusion. The content covered is grounded in inclusive leadership development, diversity management, team effectiveness, organization development, and intergroup relations. Students will learn hands-on strategies for fostering inclusion at every level of the organization, and how and why it matters on the overall culture and climate of the organization in a systematic way. Class discussions, assignments, and readings will pose questions such as: How to foster a culture of inclusion? How do we know when inclusion is actually taking place?

• Department: Human Capital Management
• MTWRFS 9 a.m.-5 p.m.
• Instructor: Cindy R Pace
  h-index: 1 Info
• 3 points

Behavioural Finance

• Department: Finance
• 3 points

WRITING NARRATIVE MEDICINE

• Department: Narrative Medicine
• TR 10:10 a.m.-noon
• Instructor: Catherine G Rogers
  Info
• 3 points

Leading with Purpose: Advocacy and Strat

In an era defined by unprecedented global challenges and opportunities, nonprofit advocacy serves as a powerful force for systemic reform and public innovation. This course immerses students in the intersection of theory and practice through an
advocacy practicum
approach—designed to equip future nonprofit leaders with the skills to influence policy, mobilize communities, and drive systemic change.

In the context of the ever evolving policy landscape of New York City and providing a global lens, this course offers an in-depth exploration of advocacy fundamentals within the nonprofit sector. Through real-world case studies, hands-on projects, and interactive fieldwork, students have the opportunity to examine how advocacy efforts in New York City—a hub of civic engagement—can expand broader policy frameworks and cross into international contexts.

Over the term, students will explore the theoretical foundations of advocacy, including social movement theory, policy influence, and public opinion formation. They will engage in stakeholder analysis, coalition-building, and the creation of advocacy strategies tailored to shifting political, economic, and social dynamics. Central to this course will be discussions on how traditional advocacy approaches are being redefined in response to growing inequalities and systemic challenges, emphasizing the need for adaptable, intersectional strategies to confront global disparities.

The framework emphasizes practical application: students will have the opportunity to develop and implement real advocacy plans, leveraging digital tools, media, and virtual organizing strategies to enhance their impact. Fieldwork, simulations, and collaborative projects will allow students to apply theoretical knowledge to tangible issues, empowering them to lead efforts that address pressing social challenges, whether locally in New York City or globally in areas such as international development and human rights.

Key topics include:


Crafting advocacy strategies that influence public policy in divided political environments;

Building and managing coalitions across stakeholders;

Engaging marginalized communities to ensure inclusive and equitable advocacy efforts;

Navigating the digital advocacy landscape to design impactful campaigns.


By the end of the course, students should be prepared to plan critically and act decisively in the fast-changing world of advocacy, with the tools, s

• Department: Non Profit Management
• T 6:30 p.m.-8 p.m.
• Instructor: Shaba Keys
  Info
• 3 points

Physical Assessment: Lab

PHYSICAL ASSESSMENT: LAB

Students will utilize the knowledge and skills learned to perform a comprehensive or focused health assessment including history and physical examination in a supervised laboratory. Students will record findings in an approved manner and demonstrate utilization of holistic, region-cultural, and ethical approaches to individuals and families.

• Department: Nursing
• 1 points

CODING FOR RISK MANAGEMENT

Equips students with the ability to adopt the programming culture typically present in the ERM/risk areas of most financial organizations. By studying Python, SQL, R, git, and AWS, students gain exposure to different syntaxes. Students apply these skills by coding up market risk and credit risk models. Students also gain familiarity with working in the cloud.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: David Weltz
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

A survey of market, credit, liquidity, and systemic risk. Includes case studies, risk quantification methods, and common mitigation techniques using portfolio management, hedging, and derivatives. Also addresses traditional risk management practices at banking institutions.

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Amit Matta
  Info
• Instructor: Justin Hon
  Info
• 3 points

GRANT WRITING

GRANT WRITING ONLINE

This course provides a comprehensive overview of the grants process, with specific reference to the research, writing, and managing of a range of grant types. The grants process is considered within the context of an institution’s total fundraising strategy as well as its overall mission-based goals. The course covers the range of possible grant-giving institutions, including government, corporate, and foundation, as well as the various types of grants, such as challenge, and their respective considerations for the fundraiser and nonprofit institution. Emphasis is placed on developing competitive proposals, accurate budgets, and appropriate systems of administration.

Prerequisite: Fundraising Fundamentals: NOPM PS5370

• Department: Non Profit Management
• MR 6:30 p.m.-8 p.m.
• Instructor: John Hicks
  Info
• 3 points

HOPE, MEANING AND ETHICS IN CLINICAL CAR

• Department: Bioethics
• TR 5:30 p.m.-7:30 p.m.
• Instructor: Linda S Golding
  Info
• 3 points

Pharmacology

PHARMACOLOGY

This is an introductory pharmacology course, and, since pharmacology is an applied science, it builds on several foundational concepts of biology, chemistry, microbiology, anatomy, and physiology in the context of nursing practice. Principles of pharmacology will be discussed, including pharmacokinetics, pharmacodynamics, and toxicities. Major pharmacologic agents used in treating more common disease states will be discussed with emphasis on relating the mechanism of action to the therapeutic use.

• Department: Nursing
• F 9 a.m.-12:50 p.m.
• Instructor: Ana Kelly
  Info
• 3 points

INTERNATIONAL SPORTS MANAGEMENT

• Department: Sports Management
• MTWRF 9 a.m.-5 p.m.
• Instructor: Cataldo Ruta
  Info
• 3 points

CAPSTONE

Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.

• Department: Non Profit Management
• W 4:10 p.m.-6 p.m.
• W 6:30 p.m.-8 p.m.
• Instructor: Elizabeth Angeles
  Info
• Instructor: Kimberly A McCall
  Info
• 3 points

SPORTS REVENUES STRATEGIES & ANALYSIS

Digital, social, and mobile media continue to heavily impact every aspect of sports business, often in profound and unanticipated ways, particularly in managing and optimizing revenue streams. All revenue line items are fully intertwined and integrated with each other, media, sponsorship, ticketing, hospitality, concessions and licensing, etc. Students of this course will learn to analyze and optimize the ecosystem of sports business including content rights, ticketing, sponsorship, merchandising, marketing, etc., as well as make business analytics decisions by leveraging business analytics software to run scenario analysis.

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• Instructor: Craig Swaisgood
  Info
• 3 points

MA Mentored Research

MA MENTORED RESEARCH

This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.

• Department: Statistics
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 0-3 points

Statistical Fieldwork

Prerequisites: GR5203; GR5204 &GR5205 and at least 4 approved electives This course is an elective course for students in the M.A. in Statistics program that counts towards the degree requirements. To receive a grade and academic credits for this course, students are expected to engage in approved off-campus internships that can be counted as an elective. Statistical Fieldwork should provide students an opportunity to apply their statistical skills and gain practical knowledge on how statistics can be applied to solve real-world challenges.

• Department: Statistics
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 1 points

MANAGING DATA

MANAGING DATA ONLINE

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: Amreeta Choudhury
  Info
• 3 points

Science of Nursing Practice

SCIENCE OF NURSING PRACTI

This fundamental course introduces students to core concepts of nursing science including taxonomy, philosophies of caring, nursing process, and evidence-based care. Concepts from the biological, physical, epidemiological, and behavioral sciences will be utilized as students begin the study of adults experiencing major biophysical health problems. The course is an introduction to the role of the professional nurse in medical/surgical nursing care of the adult client in context of populations.

• Department: Nursing
• T 8 a.m.-11:50 a.m.
• Instructor: Ashley Graham-Perel
  Info
• 3 points

Sustainability and Resilience of Tropica

Tropical Coastal Ecosyste

COURSE OVERVIEW

The proposed graduate-level fieldwork course, Sustainability and Resilience of Tropical Coastal Ecosystems, is designed for students interested in learning more about the interconnections between tropical coastal ecosystems, focusing on the nexus between coral reef, seagrass, and mangrove systems. This course will discuss the importance and value of these vital tropical coastal ecosystems.  We will specifically concentrate on the stewardship, conservation, and restoration of these systems in light of the multiple assaults associated with global climate change that impact these systems and put them at risk of complete collapse. This includes reviewing the most critical issues in tropical marine biodiversity, resource sustainability, ecosystem resilience, and global change biology. Three (3) Lecture 

ACADEMIC GOALS

This course offers students a hands-on understanding of tropical coastal ecosystem management and sustainability challenges. Participants will engage with local experts and communities, fostering skills in field research and sustainability practices.

• Department: Sustainability Science
• MTWRFSU 9 a.m.-5 p.m.
• Instructor: Brendan Buckley
  h-index: 40 Info
• 3 points

Technology as a System

Technology’s complexity becomes intricately detailed and beautiful when viewed as a system —its components, though diverse, work in symbiosis underpinned by shared communication protocols and governance structures. This system enables machines to operate with increasingly minimal human intervention. 

This survey course offers a broad and holistic exploration of technology as an integrated system, emphasizing the seamless integration that characterizes modern technological frameworks. Students will delve into the core components that constitute digital environments—such as the Internet, networks, hardware, and software—and understand how these elements collectively drive and shape today’s IT infrastructure.

• Department: Technology Management
• R 6:30 p.m.-8 p.m.
• Instructor: Christy Fernandez-Cull
  Info
• 3 points

MARKET RISK MANAGEMENT

This course provides the tools to measure and manage market risk in the context of large financial institutions. The volume and complexity of the data itself, at large institutions, makes it a challenge to generate actionable information. We will take on this challenge to master the path from data to decisions.

We cover the essential inputs to the engines of financial risk management: VaR, Expected Exposure, Potential Exposure, Expected Shortfall, backtesting, and stress testing as they apply to asset management and trading. We explore the strengths and weaknesses of these different metrics and the tradeoffs between them. We also cover how regulatory frameworks impact both the details and the strategy of building these engines. Lastly, we cover counterparty-credit methodologies, mainly as they apply to Trading Book risk.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Peter L Russo
  Info
• Instructor: Marcus Eich
  Info
• 3 points

ANOMALY DETECTION

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: Christopher Kuo
  Info
• 3 points

CREDIT RISK ANALYTICS

The field of credit risk management is undergoing a quiet revolution as subjective and manually-intensive methods give way to digitization, algorithmic management, and decision-making. This course provides a practical overview and hands-on experience with different methods, and it also provides a view of future technologies and discussions of potential future directions. Participants in this course should be well-positioned to take entry-level analytic positions and help drive strategic decisions.

The first half of the course explores analytics used today for credit risk management. You will learn to create rating and scoring models and a macro scenario-based stress testing model. In the second half of the course, we explore more advanced tools used by the more prominent organizations and fintech firms, including neural net and XGBoost decision tree models.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Christopher Mann
  Info
• 3 points

QUALITATIVE EVALUATION METHODS FOR NARRA

QUALTV EVALUATION METHODS

TBA

• Department: Narrative Medicine
• 3 points

QUALITATIVE EVALUATION METHODS FOR NARRA

QUALTV EVALUATION METHODS

TBA

• Department: Narrative Medicine
• 3 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLD TXT & NAT LANG AN ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Javid B Huseynov
  Info
• 3 points

LIQUIDITY RISK MANAGEMENT

Indicators of companies running into hard times typically include revenue volatility, loss of key personnel, reputational damage, and increased litigation. However, company failures are frequently marked by insufficient liquidity, or the lack of cash to meet obligations. Liquidity risk is the unexpected change in a company’s cash resources or demands on such resources that results in the untimely sale of assets, and/or an inability to meet contractual demands and/or default. In extreme cases, the lack of sufficient cash creates severe losses and results in company bankruptcy.

An institution’s cash resources and obligations can and must be managed. Indeed, the field of liquidity risk management is an established part of treasury departments at sizable institutions. The regularity of cash flows and the turbulence of business and markets must be assessed and quantified. This course provides students the tools and techniques to manage all types of liquidity challenges including the need to sell assets unexpectedly in the market, or work through ‘‘run‐on-the‐bank’’ situations for financial services companies.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Joseph Dziwura
  Info
• 3 points

WRITING CREATIVELY: CRAFT LAB & WORKSHOP

• Department: Narrative Medicine
• 3 points

WRITING CREATIVELY: CRAFT LAB & WORKSHOP

• Department: Narrative Medicine
• 3 points

ST Leadership, Ethics & Drug Development

Special Topics in Leadership, Ethics and Drug Development

In Ethical leadership decisions regarding drug development, regulation and delivery is a multi-dimensional process with varied stakeholders, each having their own objectives.  This course will provide students with a look at how leaders in health care faced with real-life decisions utilized ethics to determine an outcome. The course is designed as a one week intensive in-person course, with two guest lecturers per day from industry, government, funding organizations, HCPs and patient organizations to help students gain a greater understanding of all stakeholders involved in health care decision making. 

Through posted and classroom discussion, speakers will address and students will be challenged to consider the following questions:


Who are the relevant stakeholders?  What are their preferences and do they conflict?  If so, how is this conflict best resolved?

How do we apply a bioethical framework – the principles of beneficence, nonmaleficence, autonomy and justice -- to this problem?

When understanding how a new medicine is developed, how are the long and short term risks, large and small, weighed and evaluated against potential benefits?

Does industry consider justice– such as access and affordability – when deciding what products to develop?

What would you advise if you were an ethics consultant?

What do you think about the actions taken to address the issue?

How are ethical questions handled within organizations?  Are consultants used formally or informally to ensure outside perspectives?


This course is for anyone with an interest in learning from leaders in the field and exploring real-life cases of bioethical decisions that impact all of us.

• Department: Bioethics
• MTWRF 10 a.m.-4 p.m.
• 3 points

BLOCKCHAIN AND ERM

Using Blockchain, decisions can be made without relying on a single centralized authority, allowing for greater transparency and trust between participants. By using smart contracts and distributed ledgers, users can easily create, modify, and manage agreements between stakeholders, ensuring that all parties have access to the same information and can make informed decisions. As a result, Blockchain technology reduces the risks associated with decision-making, and improves efficiency and accuracy. This course first examines the risks and rewards of implementing Blockchain at large organizations engaging in decentralized decision-making processes. The course then explores the Blockchain as a tool for risk management.

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Ivan Bakrac
  Info
• 3 points

CLOUD COMPUTING

Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.

This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al.  Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.

The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.

The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Mohamed Mneimneh
  Info
• 3 points

Science of Nursing Practice: Practicum

PRAC: SCI OF NURSING PRAC

This fundamental course provides the student with clinical experience to implement patient-centered care that reflects an understanding of the concepts of human growth and development, health promotion, nursing management of illness, and patient safety. Philosophies and scientific theories of nursing will serve as a foundation for the development of critical thinking and skill acquisition. Key elements of culture, spirituality, heredity, and ethics will be integrated into the planning and provision of nursing care to individuals and populations.

• Department: Nursing
• Instructor: Candice Smith
  Info
• 1 points

Science of Nursing Practice: Skills Lab

SCI NURS PRAC: Skills Lab

Students will gain competency by practicing skills in a supportive and supervised environment in the simulation laboratory. This fundamental course provides the student with practical application of nursing skills and the scientific rationale for performing procedures correctly in order to provide patient-centered care that reflects an understanding of the concepts of human growth and development, health promotion, nursing management of illness, and patient safety. Philosophies and scientific theories of nursing will serve as a foundation for the development of critical thinking and skill acquisition. Key elements of culture, spirituality, heredity, and ethics will be integrated into the planning and provision of nursing care to simulated patients.

• Department: Nursing
• Instructor: Mary B Moran
  Info
• 1 points

PRIVACY RISK MANAGEMENT

In today’s digital age, with the collection and usage of personal  information growing at an exponential rate, the study of privacy risk management is crucial. As organizations grapple with the dual challenge of monetizing technological innovation without running afoul of regulatory and legal restrictions, the ERM professional who understands how to identify, assess, and manage privacy risk is in high demand. In this course, students will develop an understanding of the legal frameworks governing data usage, the ethical issues associated with the use of personal information, and how to develop robust privacy frameworks and controls in order to manage privacy risk.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: Heather McArn
  Info
• 3 points

Special Topics: AI and the Future of Str

The field of Artificial Intelligence (AI) has rapidly evolved to become a transformative global force across various industries, with particular significance for strategic communication. This elective course provides a comprehensive exploration of AI’s foundations, its current landscape, and its profound impact on media, journalism, public relations, and marketing communications. The course also addresses critical issues surrounding AI such as ethics, policy, and risk management associated with adoption, while offering practical insights into implementing common AI tools and developing essential AI skills for communication professionals.

• Department: Strategic Communication
• T 8:10 p.m.-10 p.m.
• Instructor: Irene Papajohn
  Info
• 3 points

CIRCULAR ECONOMY FOR SUSTAINABILITY PROF

CIRC ECON FOR SUST PROFS

Throughout history, societies have discovered resources, designed and developed them into textiles,

tools and structures, and bartered and exchanged these goods based on their respective values.

Economies emerged, driven by each society’s needs and limited by the resources and technology

available to them. Over the last two centuries, global development accelerated due in large part to the

overextraction and use of finite resources, whether for energy or materials, and supported by vast

technological advancements. However, this economic model did not account for the long-term impacts of

the disposal or depletion of these finite resources and instead, carried on unreservedly in a “take-make’-

waste” manner, otherwise known as a linear economy. Despite a more profound understanding of our

planet’s available resources, the environmental impact of disposal and depletion, and the technological

advancements of the last several decades, the economic heritage of the last two centuries persists today;

which begs the question: what alternatives are there to a linear economy?

The premise of this course is that through systems-thinking, interdisciplinary solutions for an alternative

economic future are available to us. By looking at resources’ potential, we can shape alternative methods

of procurement, design, application, and create new market demands that aim to keep materials,

products and components in rotation at their highest utility and value. This elective course will delve into

both the theory of a circular economy - which would be a state of complete systemic regeneration and

restoration as well as an optimized use of resources and zero waste - and the practical applications

required in order to achieve this economic model. Achieving perfect circularity represents potentially

transformative systemic change and requires a fundamental re-think of many of our current economic

structures, systems and processes.

This is a full-semester elective course which is designed to create awareness among sustainability

leaders that those structures, systems and processes which exist today are not those which will carry us

(as rapidly as we need) into a more sustaining future. The class will be comprised of a series of lectures,

supported by readings and case-studies on business models, design thinking and materi

• Department: Sustainability Management
• MW 4:10 p.m.-6 p.m.
• Instructor: Diana A Trushell
  Info
• 3 points

Blockchain, Crypto, and Web 3.0

Blockchain, Crypto, & Web

In this course, students will comprehend the fundamental principles of these new technologies and how to strategically apply them to drive innovation, create efficiencies, and generate new opportunities in a rapidly evolving digital landscape. It offers students the opportunity to understand the factors fueling the adoption of these technologies including the exponential growth of data, the decline in trust post-financial crisis, the desire for data ownership, growing regulatory transparency requirements, the need for greater efficiencies, and the required protection of sensitive data. The evolution goes beyond the implementation of new processes, decentralized business models and technologies. The convergence of new technologies and interdisciplinary innovation drive the requirement for changes in regulatory processes, governance, and ethics. 

This course is designed for graduate students who aspire to lead in the era of digital transformation. It is ideal for those who seek to understand the strategic applications of blockchain, AI, and Web 3.0 technologies to drive innovation within their organizations. Whether planning to advance in a career in technology management or a professional in data and knowledge-driven industries, this course will enable the acquisition of knowledge and skills necessary to navigate and leverage the opportunities presented by the Fourth Industrial Revolution.

• Department: Technology Management
• W 5 p.m.-6:30 p.m.
• Instructor: Tejwansh Anand
  h-index: 20 Info
• 3 points

MARKET RESEARCH

Market research is the way that companies identify, understand and develop the target market for their products.  It is an important component of business strategy, and it draws on the research and analytics skills you have learned thus far in the program. Often market research consists of generating your own data, through quantitative and qualitative methodologies, in pursuit of the market research question.

This course is an elective that will expand on quantitative and qualitative methodologies that have been introduced previously, provide an introduction to other methodologies that are more specific to market research, and provide hands-on practice in defining a market research plan from start to finish. Students will also learn about particular types of market research studies and when and how they should be deployed. Students will generate and test their own research instruments. Through the use of case studies and simulations, students will learn how market research fits into an overarching marketing plan for a company.

This course is designed for students who have completed the Research Design and Strategy and Analytics core courses, and who are exploring how research fits into product marketing. You will leave this class understanding the essential aspects of market research, when and how they should be deployed, and the role you could play in small and large companies directing and executing on market research opportunities.

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Diahanna L Post
  Info
• 3 points

GENDER AND COMMUNICATION IN THE WORKPLAC

GENDER & COMM IN THE WORKPLACE

Gender and Communication in the Workplace offers professionals across sectors and industries the knowledge and skills needed to identify the social and linguistic practices enacted at work, and the opportunity to advance the interests of those who run up against barriers to advancement as a result of prejudice and stereotyping.

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