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

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

Students without a strong math background will require significant additional time and effort to achieve the learning objectives and work through the course assignments. This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python. This course is a required prerequisite for registering for the following courses: Financial Risk Management, Insurance Risk Management, ERM Modeling.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• Instructor: David J Romoff
  Info
• 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.
• R 8:10 p.m.-10 p.m.
• Instructor: David Weltz
  Info
• Instructor: Marcus Eich
  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

CREDIT RISK MANAGEMENT

Credit Risk Management requires business acumen, the monitoring of internal and external data, disciplined execution, and organizational intelligence. A solid understanding of this enables a credit risk manager to help organizations achieve their objectives. Through readings, case studies, and modeling projects, students learn how risk managers decide on credit risk management strategy applied throughout the client lifecycle.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: Igor Axenov
  Info
• Instructor: Sudeep Arora
  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: Mohamed Mneimneh
  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: Deniz Ozenbas
  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
• 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

AI USER INTERFACES FOR ANALYTICS

AI UI FOR ANALYTICS

In recent years, data analytics and artificial intelligence (AI) have become essential to business intelligence and informed decision making. But to realize the impact of analytics and AI, effective visual communication of data insights via user interfaces (UI), such as web pages and app dashboards, is equally critical. Building effective UIs requires mastering the user experience (UX) design principles and certain front-end development technologies. Furthermore, the recent rise of multimodal Generative AI offers unprecedented opportunities for simplifying, automating, and scaling UX/UI development.

This course provides a comprehensive understanding of UX design principles and best practices for developing UIs while emphasizing ethical considerations and inclusivity. Students will learn to create intuitive and visually engaging websites and dashboards that leverage AI-generated insights, also considering data privacy, diversity, and accessibility. Key topics include the design, implementation, and evaluation of UIs, with hands-on experience in web development technologies like HTML, CSS, and JavaScript, as well as related cloud services. Students will apply state-of-the-art AI technologies to create intelligent and interactive UIs, all while critically assessing data sources and AI models for potential biases.

The course content comprises a blend of conceptual learning and practice assignments. Weekly lectures and reading materials will cover the fundamentals of data visualization and user experience designs. Students will put the gained knowledge into practice through individual design and coding assignments and a group term project.

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

PEDAGOGY: GOALS, METHODS, CONTEXTS (CER

• Department: Narrative Medicine
• 3 points

PEDAGOGY: GOALS, METHODS, CONTEXTS (CER

• Department: Narrative Medicine
• 3 points

RETIREMENT PLANNING AND INSURANCE

RETIREMENT PLANNG & INSUR

This course addresses two key components of financial planning: retirement and
insurance. Students will be exposed to the various options available for clients
planning for retirement and the benefits and costs of various insurance
plans. Students will learn how to conduct a requirement needs analysis as they
explore the various types of retirement plans and the rules, options, regulatory and
taxation considerations that impact those plans. The course will also provide
overviews of the Social Security, Medicare, and Medicaid systems. The course will
also provide an analysis and evaluation of risk exposure types for which a client
might want insurance, including liability, automobile, homeowner’s, health,
disability, long-term care, and life risks. Students will learn how to conduct
insurance needs analysis and to select appropriate insurance policies and
companies for their clients.

• Department: Wealth Management
• 3 points

Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

Supervised Research in Biotechnology

Students enrolled in the MA in Biotechnology Program have the opportunity to receive academic credit while conducting Supervised Research under the guidance of a faculty mentor within the University (S5502) or a biotech business-specific Supervised Internship outside the University (S5503) within the New York City Metropolitan Area unless otherwise approved by the Program. Credits received from this course are used to fulfill the Practical Training requirement for the MA degree.

• Department: Summer Session (SUMM)
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points

COMPANY FAILURES

Examination of areas critical to an organization’s success from strategic, operational, financial, and insurance perspectives, and examines why many companies fail in spite of the vast knowledge of factors driving success. Several case studies examined in depth.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Tom Williams
  Info
• Instructor: Steve Lindo
  Info
• 3 points

MAFN FIELDWORK

Prerequisites: all 6 MAFN core courses, at least 6 credits of approved electives, and the instructors permission. See the MAFN website for details. This course provides an opportunity for MAFN students to engage in off-campus internships for academic credit that counts towards the degree. Graded by letter grade. Students need to secure an internship and get it approved by the instructor.

• Department: Summer Session (SUMM)
• 1-3 points

GLOBAL FINANCIAL SERVICES IN THE 21ST CE

GLOBAL FIN SERV IN THE 21

With an orientation more towards practical application, the intent of this course is to provide a strategic framework with which students can evaluate and understand the global financial services industry of both today and tomorrow. In this course we are defining global financial services as encompassing central banks, commercial and investment banks, asset/wealth management institutions and financial regulators. Via case studies, proprietary materials, class based problem solving exercises, and guest lectures, we will examine and discuss the i) current and future role of the major financial service participants, (ii) key drivers influencing an industry that has always been characterized by significant change (e.g., regulatory, technology, risk, globalization, and client needs), and (iii) challenges and opportunities facing today's financial services' CEOs post the 2008/09 financial crisis. Furthermore, this course is designed for students who want to be financial “architects and leaders”, not financial “technicians”.

• Department: Enterprise Risk Management
• R 4:10 p.m.-6 p.m.
• Instructor: Richard Goldberg
  Info
• 3 points

MATHEMATICS FOR AI

This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. After a brief introduction to the historical and social context that numbers arise in, students will learn about:
- Linear Algebra: Matrices, matrix-vector multiplication, linear models, change of basis, dimensionality, spectral decomposition, and principal component analysis (PCA).
- Calculus: Rates of change, derivatives, optimization techniques like gradient descent, with a brief touch upon linear approximation.
- Probability and Statistics: Mathematically deriving complex probability distributions out of simpler ones, mathematically deriving statistical testing methods
- Graph Theory: How graphs are used to find relationships between data as well as being a setting for AI-driven problem solving.
- Problem Solving and Algorithms: Applying mathematical concepts to find problem solutions.
Students will learn about search methods like uninformed search, informed search with the A* algorithm, and greedy algorithms.
- Computational Theory and Automata: Answering questions about what is computable, what is needed in order to compute something, and using this framework to state how much “information” is contained in a mathematical object.
By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms.

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

RACE AND BIOETHICS

• Department: Bioethics
• TR 8 p.m.-10 p.m.
• Instructor: Harriet A Washington
  Wikipedia Info
• 3 points

RISK REGULATIONS IN FINANCE

This course examines post-financial crisis regulations including Basel III, Fundamental Review of the Trading Book (FRTB), Dodd-Frank Act, Supervision and Regulation Letter 11-7 (SR 11-7), and others.  Case studies will explore the technical details of these new rules; and guest lectures from industry experts will bring the material to life.  Areas of focus include: model risk management, stress testing, derivatives, and insurance.  By the end of this course students will be able to:


Evaluate the purpose and limitations of risk regulations in finance.

Identify and communicate weaknesses in a financial firm.

Communicate with regulators.

Understand Recovery and Resolution Plans or “Living Wills” for a financial firm.

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

ESG AND ERM

ESG will be a driving force in risk management in upcoming years. ERM / Risk professionals need a solid understanding of emerging ESG trends and regulations and how they apply to day-to-day job responsibilities. The ESG and ERM course begins with an overview of the ESG landscape and framework. After a foundational understanding is established, the course focuses on incorporating ESG into enterprise risk management, including identification, quantification, decision making, and reporting of ESG-related risks.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Harish Dakshina
  Info
• Instructor: R S Forston
  Info
• 3 points

ANALYTICS FOR BUSINESS OPERATIONS MANAGE

Operations Management (OM) is responsible for the efficient production and delivery of goods and services, serving as a cornerstone of successful organizations. This course emphasizes how analytical techniques, such as forecasting, queuing theory, and linear programming, provide critical tools for optimizing operational decision-making, improving efficiency, and addressing real-world challenges in operations management. In this course, you will gain essential skills to optimize processes, manage resources, and enhance productivity across various industries. The course will be delivered through a combination of interactive lectures, case studies, and hands-on coding exercises to ensure a balance between conceptual learning and practical application.

Through lectures, you will gain a solid foundation in OM principles and analytical techniques. Case studies will help illustrate real-world applications of OM in industries such as manufacturing, healthcare, retail, and logistics, allowing you to see how the concepts are applied in diverse contexts. This course will integrate the principles of OM with hands-on analytical techniques using Python, allowing you to model and solve real-world OM problems. You will learn to run simulations, perform optimizations, and analyze data to make data-driven decisions that enhance efficiency and overall performance.

OM practices are tailored to meet the specific needs of various sectors. In manufacturing, OM helps streamline production lines and minimize waste; in healthcare, it enhances patient flow and optimizes resource allocation; in retail, it improves inventory management and supply chain operations; and in logistics, it ensures timely deliveries while reducing transportation costs. This course will equip you with the skills to apply OM practices effectively in different industries.

Analytics for Business Operations Management is an elective that is intended for students who are interested in pursuing a career using analytics and operational insights to drive organizational success in a competitive global marketplace across various industries.

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: Andy W Chen
  Info
• 3 points

DERIVATIVES RISK MANAGEMENT

This course explores financial derivatives across different asset classes with in-depth analysis of several popular trades including block trades, program trades, vanilla options, digital options, and variance swaps. Their dynamics and risks are explored through Monte Carlo simulation using Excel and Python. The daily decisions and tasks of a frontline risk manager are recreated and students have the opportunity to see which trades they would approve or reject. Students will gain a working knowledge of financial derivatives and acquire technical skills to answer complex questions on the trading floor.

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

FINANCIAL SEC ANALYSIS AND PORTFOLIO MGT

FIN SEC ANALYSIS AND PORT

Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. Part I of the course lays the theoretical foundation by introducing the Portfolio Theory and Equilibrium Asset Pricing models. Part II covers the valuation models and analysis of major asset classes: equity, fixed-income, and derivatives. Topics include bond valuation and interest rate models, equity valuation and financial statement analysis, options valuation, other derivatives, and risk management. Part III of the course focuses on the practice of active portfolio management.

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

TOOLS FOR RISK MANAGEMENT

Tools for Risk Management examines how risk technology platforms assess risks. These platforms gather, store, and analyze data; and transform that data to actionable information. This course explores how the platforms are implemented, customized, and evaluated. Topics include business requirements specification, data modeling, risk analytics and reporting, systems integration, regulatory issues, visualization, and change processes. Hands-on exercises using selected vendor tools will give students the opportunity to see what these tools can offer.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Barney Baldwin
  Info
• Instructor: Viktor Ziskin
  Info
• 3 points

ERM MODELING

Equips students with the basics of risk measurement and simulation using a hands-on approach to ERM modeling. Using industry-standard simulation software, students build systems of risk drivers for finance and insurance companies. Topics include risk correlations, VaR and TVaR, capital modeling, capital allocation, and parameter, process, and model Risk. Students acquire both quantitative experience building models and qualitative appreciation for model weaknesses.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Julian Horky
  Info
• Instructor: Tom Passante
  Info
• 3 points

MACHINE LEARNING FOR RISK MANAGEMENT

The exponentially increasing availability of data and the rapid development of information technology and computing power have inevitably made Machine Learning part of the risk manager’s toolkit. But, what are these tools? This class provides the driving intuitions for machine learning. Students will see how many of the algorithms are extensions of what we already do with our human minds. These algorithms include regularized regression, cluster analysis, naive bayes, apriori algorithm, decision trees, random forests, and boosted ensembles.

Through practical and real-life applications of ML to Risk Management, students will learn to identify the best technique to apply to a particular risk management problem, from credit risk measurement, fraud detection, portfolio selection to climate change, and ESG applications.

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

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MANAGEMENT

Students will learn how to better identify and manage a wide range of IT risks as well as better inform IT investment decisions that support the business strategy. Students will develop an instinct for where to look for technological risks, and how IT risks may be contributing factors toward key business risks. This course includes a review of IT risks, including those related to governance, general controls, compliance, cybersecurity, data privacy, and project management. Students will learn how to use a risk-based approach to identify and mitigate cybersecurity and privacy related risks and vulnerabilities. No prior experience or technical skills required to successfully complete this course.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Rod Aday
  Info
• Instructor: Adam Ely
  Info
• 3 points

CYBERSECURITY RISK MANAGEMENT

TBA

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Corey Hirsch
  Info
• 3 points

THIRD-PARTY RISK MANAGEMENT

As organizations increasingly rely on external vendors and service providers, managing third-party risks becomes paramount to ensure operational resilience, regulatory compliance, and strategic success. Challenges include:


The evolving nature of technology risks.

The impact of geopolitical tensions.

The lessons learned from disruptive events like pandemics.


By offering a comprehensive curriculum covering everything from the basics of vendor management to advanced predictive TPRM models and emphasizing regulatory requirements specific to the financial services sector, the course equips professionals with the knowledge and tools needed to navigate the intricate web of third-party relationships. 
Students taking this course are prohibited from taking Supply Chain Risk Management for Non-Financials (ERMC PS5585) at any time. Contact your advisor for more information.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Leslie Weinstein
  Info
• Instructor: Tahmina Day
  Info
• 3 points

SUPPLY CHAIN RISK MANAGEMENT FOR NON-FIN

SUPPLY CHAIN RM FOR NON-F

The Pandemic made us all aware of the fragility of supply chains and how significant the consequences of failure of our supply chains can be. It is paramount to note that global and local economies can break down, and scarcity of essential resources can foment wars. Risk professionals must know what best practices bring security to supply chains and related companies, governments, and other institutions. 
Students taking this course are prohibited from taking Third-Party Risk Management (ERMC PS5575) at any time. Contact your advisor for more information.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Sunil Tandon
  Info
• Instructor: Bryce Wolf
  Info
• 3 points

COGNITIVE BIAS & ERM

Explores key concepts of behavioral economics and cognitive psychology, how to identify key cognitive biases in ERM activities, and how to apply techniques to address these, enhancing the quality and integrity of an ERM program. The course also includes best practices in leveraging analytic models to improve decision making.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Tatiana Dmitrieva
  Info
• Instructor: Rich Lauria
  Info
• Instructor: Zava Aydemir
  Info
• 3 points

STRATEGY AND ANALYTICS

n/a

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

STRATEGY AND ANALYTICS

STRATEGY AND ANALYTICS ONLINE

n/a

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Lisa Godek
  Info
• 3 points

CAPSTONE

The Capstone Project is an opportunity for students to synthesize and apply learnings from throughout the Strategic Communication program. Under the guidance of expert advisers, you’ll investigate a real-world communication issue, devising solutions and strategies that bridge the gap between theory and practice.

• Department: Strategic Communication
• T 5:10 p.m.-8 p.m.
• R 6:10 p.m.-9 p.m.
• Instructor: Elyse Hoelzer
  Info
• Instructor: Mark Truss
  Info
• 3 points

Communication and the Client Experience

This course focuses on the 3C’s of wealth management: communications,
counseling and client relationship management. The first half of the course will
focus on both the theoretical foundations as well as best practices associated with
client communication and counseling. The overall objective is for the learner to
develop a variety of tools to develop deeper relationships with clients through a
variety of different communication tools. This case-based course blends both
theory and active learning, where students will observe and demonstrate effective
oral and written communication within a client-planner interaction.
The second half of the course will focus on client relationship management over
the entire life-cycle of the client, from business development to generational
transfer of wealth. Students will develop the necessary skills to both attract new
clients as well as to develop deeper relationships throughout the wealth
management process. Students will also learn to analyze their clients and structure
persuasive, ethical, and compelling messages in written and verbal channels. In
addition, this course will discuss how technology is utilized to better connect with
clients including the ability to integrate reporting, analytics and performance to
provide more sophisticated and customized advice.

• Department: Wealth Management
• Instructor: Aaron E Alley
  Info
• 3 points

SOLAR PROJECT DEVELOPMENT

TBA

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Daniel J Giuffrida
  Info
• 3 points

ANALYTICS & LEADING CHANGE

ANALYTICS & LEADING CHNG

• Department: Applied Analytics
• S 10:10 a.m.-noon
• Instructor: Paul J Bailo
  Info
• 3 points

ANALYTICS & LEADING CHANGE

ANALYTICS & LEADNG CHNG ONLINE

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: David Kreutter
  Info
• Instructor: Zachary Kornhauser
  Info
• 3 points

DATA, TECHNOLOGY AND AI IN INSURANCE

DATA, TECH & AI IN INSURA

Data AI and Technology in Insurance

• Department: Insurance Management
• Instructor: Alejandro Zarate Santovena
  Info
• 3 points

INTERCOLLEGIATE ATHLETICS ADMIN

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

STORYTELLING WITH DATA AND AI

STORYTELLING WITH DATA ONLINE

Data does not have meaning without context and interpretation. Being able to effectively present data analytics in a compelling narrative to a particular audience will differentiate you from others in your field. This course takes students through the lifecycle of an analytical project from a communication perspective. Students develop written, verbal, and visual deliverables for three major audiences: data experts (e.g., head of analytics); consumer and presentation experts (e.g., chief marketing officer); and executive leadership (e.g., chief executive officer).

Students get ample practice in strategic interactions in relevant social and professional contexts (e.g., business meetings, team projects, and one-on-one interactions); active listening; strategic storytelling; and creating persuasive professional spoken and written messages, reports, and presentations. Throughout the course, students create and receive feedback on data storytelling while sharpening their ability to communicate complex analytics to technical and nontechnical audiences with clarity, precision, and influence.

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Bum Chul Kwon
  h-index: None Info
• 3 points

EMERGING RISK & INSURANCE TOPICS

EMERGING RSK & INSURNCE T

Review current trendds in risk management and insurance.

• Department: Insurance Management
• Instructor: Teresa W Chan
  Info
• 3 points

Topics in Nursing Practice

TOPICS IN NURSING PRACTIC

This course is designed to introduce pre-licensure students to relevant and emergent topics which affect the practice of nursing in the national and international healthcare system. The focus will be on issues confronting professional nurses including global health, cultural awareness, gender identity, and evidence-based wellness. State mandated topics for licensure will be covered.

• Department: Nursing
• F 8 a.m.-8:50 a.m.
• R 9 a.m.-9:50 a.m.
• 0-1 points

EQUITY, ENERGY AND THE BUILT ENVIRONMENT

EQUITY, ENERGY AND BUILT

• Department: Sustainability Management
• TR 4:10 p.m.-6 p.m.
• 3 points

Applications of AI & ML in Business

• Department: Business
• MTWRF 9 a.m.-5 p.m.
• Instructor: Faculty
  h-index: 37 Info
• 3 points

PUBLIC RELATIONS AND CORPORATE COMMUNICA

PR & CORPORATE COMMUNICATION

This elective is designed for students looking to launch careers in public relations and corporate communications across organizations, from corporate, non-profit, start-up and/or governmental institutions. Course content will provide students with a broad overview of the PR and corporate communications function and foundational communication theory, along with hands-on, tactical training in modern public relations practice. Topics covered include strategic messaging and storytelling, working with the press to generate media coverage, leveraging social media and managing reputations online, crisis communication, public relations ethics and media law, engaging internal and external audiences, and evaluating corporate communications efforts.

• Department: Strategic Communication
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Kaye
  Info
• 3 points

Interpersonal Dynamics: Collaboration, F

Interpersonal Dynamics: Collaboration, Facilitation and Reflective Practice

develops students’ capacity to act as reflective practitioners of

collaborative conflict resolution. Building on theories presented in

Introduction to Negotiation, the course provides students with many

opportunities to understand the interpersonal dynamics of conflict and to

practice the skills of negotiation, mediation, and facilitation.
 

To intervene as skilled practitioners, conflict-resolution professionals

need to understand how their worldview shapes the lens through which they

view and respond to conflict. Likewise, they need to grasp their

counterpart’s worldview and understand how the dynamics of these differing

narratives influence both sides’ perception, emotions, and responses. As a

result of their reflective practice, students can learn to make more

strategic choices as negotiators, mediators, and facilitators.
 

Students bring their own unique experiences, insights, and communicative

strengths to the learning process. This course seeks to build on these

contributions, providing (1) tools for deepening self-awareness as a means

of advancing connection to others, (2) opportunities for strengthening

their face-to-face communication skills as negotiators and as mediators,

and (3) techniques for developing their skills as third-party facilitators.

• Department: Negotiation & Conflict Resolution
• TWRF 9 a.m.-5 p.m.
• Instructor: Robert Anderson
  h-index: 77 Info
• 3 points

ERM CAPSTONE

Teams will work through a case assignment, demonstrating mastery of key learnings gained throughout the program on an integrated basis. A simulated case study is used: this is a combination of publicly-available information of an actual company and simulated ERM program details, based on a blend of current ERM programs and practices in the marketplace. Each team will assess the case study and recommend enhancements.

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