Prerequisites: STAT GR5205 Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.
Prerequisites: STAT GR5205 Statistical inference without parametric model assumption. Hypothesis testing using ranks, permutations, and order statistics. Nonparametric analogs of analysis of variance. Non-parametric regression, smoothing and model selection.
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.
Change is a necessary and constant part of any organization. The change may be expected, or it may be in reaction to unanticipated external and/or internal factors. In fact, organizations that do not change do not last.
Change initiatives can be exceedingly complex and disorienting, however. The success of a given changeinitiative often rests on the clarity of vision of an organization’s leaders; an accurate and sensitiveunderstanding of the organization’s culture; the involvement, input and buy-in of multiple internal andexternal stakeholders to the change objectives and process; leaders’ ability to leverage technology tocommunicate and drive change; and an organization’s analytical capabilities to document and measureprogress, and continue to iterate and improve.
In light of these requirements, this course seeks to ask: What is the role of the HCM leader in facilitatingchange within an organization? The aims of this course are not abstract. This course will help studentsdevelop skills to support actual organizations (their own and/or others) through change. Lectures, readings,videos, in-class and asynchronous discussions, and assignments will all focus on the practical application ofchange theory and empirical research to real-world organizational contexts.
This course is an advanced elective within the Master of Science in Human Capital Management program.Prerequisites include “HCMPS5100: Introduction to Human Capital Management,” and “HCMPS5150:Integrated Talent Management Strategies.” Some familiarity with people analytics and digital approaches toHuman Capital Management will also be helpful.
Prerequisites: STAT GR5205 Survival distributions, types of censored data, estimation for various survival models, nonparametric estimation of survival distributions, the proportional hazard and accelerated lifetime models for regression analysis with failure-time data. Extensive use of the computer.
Prerequisites: STAT GR5205 Statistical methods for rates and proportions, ordered and nominal categorical responses, contingency tables, odds-ratios, exact inference, logistic regression, Poisson regression, generalized linear models.
Prerequisites: STAT GR5204 Introductory course on the design and analysis of sample surveys. How sample surveys are conducted, why the designs are used, how to analyze survey results, and how to derive from first principles the standard results and their generalizations. Examples from public health, social work, opinion polling, and other topics of interest.
Diversity, equity, and inclusion (DEI) is an increasingly salient practice in the charitable sector. Done well, DEI practice – such as more diverse recruitment policies, more inclusive organizational culture, and greater attention to the equitable distribution of programmatic outcomes – helps nonprofit and foundation managers and leaders attract and retain talent, improve programmatic outcomes, and lend greater credibility to the work of the charitable sector.
The need for such practice is evident: most nonprofits and foundations are not representative of the communities they serve; the accumulation of wealth that enables large private foundations to exist exacerbates the very issues they may seek to combat; and in seeking to help those affected by inequality, nonprofits and foundations may reproduce the same patterns of inequality within their own organizations.
Despite the growing need for effective DEI practice, much of the knowledge of it is diffuse and disconnected. At times, practitioners can’t even agree on the basic terms. Yet in this disagreement lies a clue: pursued deeply, a DEI analysis leads one to conclude that mainstream institutions, and the broader society of which they are a part, are ultimately designed to make DEI difficult to understand, much less enact. This means that DEI practice eventually names and pushes back on the very power relations and institutional dynamics that surround us in the charitable sector and make our work possible. To reckon fully with DEI means to question the very assumptions and relationships on which our sector is based.
This course aims to equip students with critical faculties and practical tools to be informed and ethical practitioners of DEI in the charitable sector while remaining alive to the tensions between DEI and current sector practice.
Diversity, equity, and inclusion (DEI) is an increasingly salient practice in the charitable sector. Done well, DEI practice – such as more diverse recruitment policies, more inclusive organizational culture, and greater attention to the equitable distribution of programmatic outcomes – helps nonprofit and foundation managers and leaders attract and retain talent, improve programmatic outcomes, and lend greater credibility to the work of the charitable sector.
The need for such practice is evident: most nonprofits and foundations are not representative of the communities they serve; the accumulation of wealth that enables large private foundations to exist exacerbates the very issues they may seek to combat; and in seeking to help those affected by inequality, nonprofits and foundations may reproduce the same patterns of inequality within their own organizations.
Despite the growing need for effective DEI practice, much of the knowledge of it is diffuse and disconnected. At times, practitioners can’t even agree on the basic terms. Yet in this disagreement lies a clue: pursued deeply, a DEI analysis leads one to conclude that mainstream institutions, and the broader society of which they are a part, are ultimately designed to make DEI difficult to understand, much less enact. This means that DEI practice eventually names and pushes back on the very power relations and institutional dynamics that surround us in the charitable sector and make our work possible. To reckon fully with DEI means to question the very assumptions and relationships on which our sector is based.
This course aims to equip students with critical faculties and practical tools to be informed and ethical practitioners of DEI in the charitable sector while remaining alive to the tensions between DEI and current sector practice.
Whether alone with ourselves, or in close relationships with important people in our lives, dominant narratives shape our encounters by bringing certain aspects of our experience to the fore and marginalizing others. Narrative Therapy is a school of thought developed by Michael White, the Australian psychotherapist and social activist. Influenced by Social Constructionism and the writings of Michel Foucault (among others), White sought to understand the ways in which systems of power and control on the societal level shape our most intimate experiences. There is a price we pay for the hegemony of dominant narratives (as Foucault would say) as other aspects of our experience become marginalized and pushed out of awareness in this process. But by analyzing the dynamics by which certain narratives come to hold sway over us, and by considering what goes missing from our experience, Narrative Therapy seeks to undo this price by re-evaluating the stories we live by so that they can be more expansive and less limiting.
In this course we will look at the basic concepts and theoretical underpinnings of Narrative Therapy, and then begin to understand the essential techniques and areas of application of this important therapeutic school. This course does not train students to practice therapy. Our emphasis instead will be on developing ideas for ways in which the concepts and techniques introduced by Narrative Therapy can inform the practice of Narrative Medicine.
Questions we will address include:
● What can we learn from Narrative Therapy about the ways people structure stories about themselves, and how does this affect their relationship with their bodies, with illness and their conceptions of healing?
● What are the mechanisms by which dominant narratives from the social sphere are integrated into an individual’s self concept, and how does this then influence power relations in the clinical encounter?
● Theorists within Narrative Therapy strive to foster a non-hierarchical, non-expert stance in the clinical encounter. What are the possibilities and the challenges inherent in maintaining this?
Prerequisites: STAT GR5206 or the equivalent. The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.
Provides a global review of ERM requirements of regulators, rating agencies, and shareholders. Addresses three industry sectors: (1) insurance; (2) banking; and (3) corporate.
The required “The Art and Craft of Practice
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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.
Data Analytics
Once known as the arsenal of Democracy, the birthplace of the automobile assembly line, and the model city of America, 21st Century Detroit was emblematic of deindustrialization, decay, and insolvency. Following the largest municipal bankruptcy in US history, Detroit is now being reframed in both local and national media as a comeback city with opportunity and possibility for all - urban pioneers, global investors, a creative class of new professionals, and suburbanites seeking a return to urban grit.
Despite these narratives, Detroit remains highly segregated - racially, geographically, economically, and socially. While downtown is prospering, neighborhoods are still largely blighted and contaminated with legacy uses that remain unremediated. Over 30,000 houses and other structures have been demolished in the past 8 years, a process that is under-regulated and contributes to both environmental and infrastructure harm. To the extent new investments are improving the condition of housing and infrastructure in some strategic areas, these investments are displacing long term residents who remain at risk of eviction or foreclosure from their homes. Detroit remains one of the poorest big city in America and the poverty that remains is seemingly intractable. At present, only 36% of residents earn a living wage.
Detroit’s present condition is rooted in a protracted history of racist laws, policies, and practices that deny full citizenship to Black Detroiters, undermine Democracy, and position the city as a poor colony within a thriving metropolis. Racism has disfigured the social, physical and economic landscape of Detroit to produce profound levels of neglect, abuse, and exploitation of its residents, resulting in wealth extraction, housing insecurity, healthy food and water scarcity, educational malpractice, and environmental destruction, all within the framework of wealth attraction, tax incentives, subsidized growth and capital accumulation in the greater downtown.
Through this course, we will examine the thesis that sustainability and racism cannot co-exist; that sustainability is rooted in inclusive social wellbeing now and in future generations, whereas racism is rooted in hoarding of power and resources for one dominant group. This hoarding of resources for a favored population impairs preservation for future generations. Furthermore, environmental racism disconnects the consequences of environmental destruction from its beneficiari
Once known as the arsenal of Democracy, the birthplace of the automobile assembly line, and the model city of America, 21st Century Detroit was emblematic of deindustrialization, decay, and insolvency. Following the largest municipal bankruptcy in US history, Detroit is now being reframed in both local and national media as a comeback city with opportunity and possibility for all - urban pioneers, global investors, a creative class of new professionals, and suburbanites seeking a return to urban grit.
Despite these narratives, Detroit remains highly segregated - racially, geographically, economically, and socially. While downtown is prospering, neighborhoods are still largely blighted and contaminated with legacy uses that remain unremediated. Over 30,000 houses and other structures have been demolished in the past 8 years, a process that is under-regulated and contributes to both environmental and infrastructure harm. To the extent new investments are improving the condition of housing and infrastructure in some strategic areas, these investments are displacing long term residents who remain at risk of eviction or foreclosure from their homes. Detroit remains one of the poorest big city in America and the poverty that remains is seemingly intractable. At present, only 36% of residents earn a living wage.
Detroit’s present condition is rooted in a protracted history of racist laws, policies, and practices that deny full citizenship to Black Detroiters, undermine Democracy, and position the city as a poor colony within a thriving metropolis. Racism has disfigured the social, physical and economic landscape of Detroit to produce profound levels of neglect, abuse, and exploitation of its residents, resulting in wealth extraction, housing insecurity, healthy food and water scarcity, educational malpractice, and environmental destruction, all within the framework of wealth attraction, tax incentives, subsidized growth and capital accumulation in the greater downtown.
Through this course, we will examine the thesis that sustainability and racism cannot co-exist; that sustainability is rooted in inclusive social wellbeing now and in future generations, whereas racism is rooted in hoarding of power and resources for one dominant group. This hoarding of resources for a favored population impairs preservation for future generations. Furthermore, environmental racism disconnects the consequences of environmental destruction from its beneficiari
Course Overview
Investors in residential and commercial real estate, those in infrastructure and supply-chain, to name a few examples, are exposed to risks of flooding, droughts and forest fires as a consequence of the reverberations of climate change on environmental factors and weather. Such risks are higher for stakeholders with properties close to the coast or in regions where drought and forest fires are increasing (e.g., the Western U.S.) as well as for financial institutions that finance their purchases and hold their securities. Risks associated with sea level rise, flooding, inundation and other extreme events have generally not been properly assessed nor quantified and it is currently hard for investors to assess the risks that they now face, and will face in the future, from climate change. Moreover, the consequences of climate change go beyond the financial and economic ones, as in the case of climate justice, in which the social cost of the climate change impacts is paid by those who are the least responsible and that are the most vulnerable from a socio-economic perspective.
The course will focus on fundamentals on economic and financial impacts of climate change. We will discuss the major impacts of climate change from a financial and climate perspective. This work will be spread throughout the semester through presentations by the teacher, guest speakers and in-class discussions from the readings. The class will also focus on specific topics for the required final project. Students will be able to use the SEPHER dataset, developed at Lamont and focusing on real estate, socio-vulnerability of people exposed to climate change impacts, with emphasis on racial issues, economic wealth and phenomena such as climate gentrification and housing. The students will be exposed to the dataset at the beginning of the course and will be taught how to visualize the data without any computer science knowledge.
Students will explore the state of the art of current literature on the topics described above and discuss in class about the most updated findings and their economic drivers or implications. Then, students will be exposed to the use of Geographic Information System (GIS) to map quantities of interest using SEPHER 2.0. With this powerful and yet simple tool, students will be able to visualize variables to analyze maps to develop ideas and support hypothesis integration and growth. The students will be exposed to training when they will be doing practical hands-on exercises to create
Course Overview
Investors in residential and commercial real estate, those in infrastructure and supply-chain, to name a few examples, are exposed to risks of flooding, droughts and forest fires as a consequence of the reverberations of climate change on environmental factors and weather. Such risks are higher for stakeholders with properties close to the coast or in regions where drought and forest fires are increasing (e.g., the Western U.S.) as well as for financial institutions that finance their purchases and hold their securities. Risks associated with sea level rise, flooding, inundation and other extreme events have generally not been properly assessed nor quantified and it is currently hard for investors to assess the risks that they now face, and will face in the future, from climate change. Moreover, the consequences of climate change go beyond the financial and economic ones, as in the case of climate justice, in which the social cost of the climate change impacts is paid by those who are the least responsible and that are the most vulnerable from a socio-economic perspective.
The course will focus on fundamentals on economic and financial impacts of climate change. We will discuss the major impacts of climate change from a financial and climate perspective. This work will be spread throughout the semester through presentations by the teacher, guest speakers and in-class discussions from the readings. The class will also focus on specific topics for the required final project. Students will be able to use the SEPHER dataset, developed at Lamont and focusing on real estate, socio-vulnerability of people exposed to climate change impacts, with emphasis on racial issues, economic wealth and phenomena such as climate gentrification and housing. The students will be exposed to the dataset at the beginning of the course and will be taught how to visualize the data without any computer science knowledge.
Students will explore the state of the art of current literature on the topics described above and discuss in class about the most updated findings and their economic drivers or implications. Then, students will be exposed to the use of Geographic Information System (GIS) to map quantities of interest using SEPHER 2.0. With this powerful and yet simple tool, students will be able to visualize variables to analyze maps to develop ideas and support hypothesis integration and growth. The students will be exposed to training when they will be doing practical hands-on exercises to create
Whether through a speech to key donors, a published op-ed column, an annual report or media interview, leaders of nonprofit organizations must be compelling storytellers. Although other courses in the Nonprofit Management M.S. program helpfully concentrate on the strategy and tactics of communications outreach and social media engagement, the intensive focus of this elective will be on developing students’ capacity for literate writing and speaking across a range of public forums and institutional challenges that face nonprofit organizations. Through a combination of readings, discussion and, most importantly, a diverse range of writing assignments and creative exercises, students will emerge with a new level of editorial proficiency in creating the kind of written and spoken communications that support a nonprofit’s development, promote its public service mission, and manage difficult political, legal and institutional issues that distract organizations from achieving their mission-driven goals. Students will learn best practices for crafting persuasive communications in an increasingly complex and time-sensitive media environment.
This course covers programming with applications to finance. The applications may include such topics as yield curve building and calibration, short rate models, Libor market models, Monte Carlo simulation, valuation of financial instruments such as options, swaptions and variance swaps, and risk measurement and management, among others. Students will learn about the underlying theory, learn coding techniques, and get hands-on experience in implementing financial models and systems.
Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.
Prerequisites: STAT GR5264 Available to SSP, SMP. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates.
This course is for leaders who want to challenge and transform existing ways of working for a greater positive impact on society. You will build the technical skills needed to bring Human-Centered Design (HCD) and innovation to projects and programs through a combination of lectures and assignments. At a higher level, you will also better understand what is needed to launch and manage innovation strategies and projects at NGOs and INGOs. This course builds a foundational understanding of innovation strategies, tools, and ecosystem in the social impact sector. Together, we will also heavily critique the status quo – including power dynamics, innovation methods and consider the importance of ethics, diversity, equity, inclusion, and accessibility (DEIA) – all with the motivation to build an improved practice of innovation. The course will bring together perspectives and guest speakers from across the globe who are diverse ecosystem actors, including innovators and implementers, funders, consultants, and
conveners.
This course has three phases. Phase 1 will provide a foundational understanding of innovation strategy, methodology, and tools, including human-centered design, user personas, journey mapping, etc. In Phase 2, you will be able to better contextualize innovation in the social impact sector, particularly from the perspective of NGOs, INGOs, and U.N. agencies. We will also dive into how DEIA, power, and creative capacities intersect with designing for social impact and learn practical skills for structuring an innovation project. Finally, in Phase 3, the instructor will share perspectives and lessons from practicing innovation for over a decade and help you identify areas of opportunity and entry points for your careers.
As future leaders and innovators in the social impact sector, you will be encouraged to think beyond how thingscurrently operate and expected to explore where and how the innovation sector itself needs to evolve. You will
complete this course with more clarity on your journey in innovation with coaching from the instructor and engaging
conversations with guest speakers.
The global knowledge economy, cross-border market permeability, and worldwide talent mobility have accelerated the rise of multinational and domestic organizations comprised of individuals from many different cultural and linguistic backgrounds. As these trends strengthen, so, too, does the likelihood that the 21st-century worker will spend a significant part of her/his professional career in a multicultural workplace. While such diversity affords great benefits to organizations, their employees and clients, it is often accompanied by a rise in communication misfires and misunderstandings that can undermine individual, team, and organizational performance.
This course takes a short, intensive dive into the narratives that story our experience of and with dementia. “Dementia Narratives” will use the literary genres of film, fiction, memoir, and graphic novels to excavate dementia stories using three framing tools. First, we will consider the relationship between the storyteller and the person with dementia, and the positioning of the person with dementia in the context of the story. Second, we will attend to these stories as they are framed by metaphors. And third, as we attend to these narratives we will also connect them to implications for practice and policy. In Narrative Medicine we focus on story and its importance in understanding the experience of illness for the individual, for the family or community, and for society. In this course we explore the elephant in that room: the importance of the illness experiences that cannot be narrated. Can we use the skills we gain in close reading and reflective writing to better understand the relationship between memory and self, when memory is inconsistent, free-floating, and riddled with holes? The purpose of this exploration is to better serve the needs of those whose stories do not fit the expected arcs of coherence, to understand the world of the caregivers for those with dementia, and to consider how narrative and policy inform each other in this growing arena of societal need. These questions and topics hover at the edges of current courses such as “Illness/Disability Narratives,” but are generally not directly addressed.
To make informed decisions about communication, we need a clear understanding of our audience and its motivations. We begin by asking the right questions and interpreting the results. This course covers essential market research methods, including quantitative and qualitative techniques. Students gain direct experience in collecting and analyzing data, developing insights and choosing research-driven communication strategies that meet client objectives.
Prerequisites: W4315 and either another statistics course numbered above the 4200 or permission of instructor. Required for the major in statistics. Data analysis using a computer statistical package and selected exploratory data analysis subroutines. Topics include editing of data for errors, exploratory and standard techniques for one-way analysis of variance, linear regression, and two-way analysis of variance. Material is presented in case-study format.
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.
Workshop-like course that addresses a variety of communication skills, including listening skills, presentation skills, leadership communications, conflict resolution, management interactions, and professional communication techniques.
The Investment Planning course explores the essential principles of investing and how to apply them wisely as
wealth advisors. Students will examine how investment wisdom and theory has evolved – from the insights of
Benjamin Graham to Modern Portfolio Theory, the Capital Asset Pricing Model, factor-based investing and more --
and identify how these theories can be utilized as a framework for understanding and using investments of the present and future. Students will calculate and apply mathematical formulas to learn how to manage risk and return in investment portfolios. This course will compare and contrast each of the major asset classes, ranging from cash and near-cash investments to public and private equity, debt and alternative investments. Students will learn how to apply investment skills to deliver and demonstrate value to clients, net of fees and adjusted risk. In addition, this course will emphasize the parallel development of investment knowledge and communication and counseling skills to conduct investment relationships with clients effectively.
This course will provide an in-depth discussion of state-of-the-art methodological concepts and approaches for analysis of molecular data, with a focus on sequencing data. The first part of the course will focus on key concepts in sequencing data analysis in the microbiome realm, including the challenges inherent to the field, such as compositionality and bias, recent advances in reference-free metagenomic analyses, and analyses of metagenomic plasticity. The second part of the course will touch upon a variety of topics related to computational genomics and biology, including mathematical modeling of infectious diseases, cancer genomics, and protein molecular modeling. The course will comprise of frontal and guest lectures, as well as presentation of research papers by students. Students will also complete a group project.
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How do organizational leaders invest in digital technologies and capabilities to catalyze digital transformation? Moreover, how do corporations and institutions create an effective portfolio of digital investments that are aligned — continuously over time — with the organization’s mission and strategy? This course provides an introduction to digital transformation, and the modern (digital) “place” of work, such as intranets, search appliances, analytic dashboards, enterprise social media, mixed reality, and content management. Feeding the digital workplace are “sources of record,” including Enterprise Resource Planning (ERP), HR systems, Customer Relationship Management (CRM), IoT sensors, and digital marketing. Finally, we look at likely future scenarios for work and how organizations can prepare for digital transformation and beyond.
IKNS PS5304: Business Analytics
IKNS PS5304: Business Analytics
This dual course is part of a partnership between Sciences Po and Columbia University. It brings together students from both institutions into a virtual environment to learn together from multiple perspectives in an English language course. In an era of unprecedented wealth, technological advancement, and global interdependence, we find ourselves confronted with global problems in which the different sectors (government, nonprofit and for profit) cannot adequately address broad societal issues on their own. What is needed is a cross-sectoral approach that recognizes the importance of a shared sense of the common good. Students will analyze how the pursuit of the common good requires addressing public attitudes, policy frameworks and institutional forms that shape the outcomes of critical societal issues.
The sessions will be divided into two main blocks. The first part (five sessions) will provide the students with a solid theoretical and conceptual background to a cross-sectoral and transnational notion of the common good, its actors and their role in the social change landscape. A special focus will be placed on those organizations at the intersection of the nonprofit and for-profit sectors, including hybrid organizations, B Corporations, corporate social responsibility efforts as well as nonprofit organizations and philanthropists. The second part of the course focuses on in-depth analysis of the difficulty of addressing truly global challenges because of different cross-cultural understanding and interests among various institutional actors. This part of the course focuses topically on 1) racial and social justice and 2) climate change and the environment. Each will include a definition of the problem, a simulation, and a discussion of practical steps to advance better outcomes.
Key to this dual course will be the use of cross geographical and cross-cultural examples. Interactive working group activities, simulations and group research work will be programmed through the sessions integrating Sciences Po and Columbia members in teams. Given the nature of the dual course it will be 100% virtual. This course will especially appeal to students interested in social change, global movements, and experience working with teams situated on different continents. This is an elective course with no prerequisites.
In contemporary bioethics, we find ourselves grappling with practically important, and at the same time, philosophically fundamental questions such as: When does someone’s life begin and how should it end? What is the proper role of physicians, nurses and other health care providers and what are the rights of their patients? What is a just and fair way to provide access to health-care services and resources? Which potential uses of new genetic and reproductive technologies would represent a legitimate advance in medicine and which would signify the beginning of a humanly degrading "brave new world"? Indeed, in a society committed to protecting a diversity of lifestyles and opinions, how can citizens resolve significant policy controversies such as whether there should be public funding of human embryonic stem cell research, or a legally protected right to physician assistance in ending one’s life?
The aims of this course are to identify the fundamental ethical questions that underlie contemporary biomedical practice; develop skill in analyzing and clarifying key concepts such as autonomy, justice, health and disease; critically assess the healthcare implications of different ethical outlooks; explore how citizens can reasonably address controversial bioethical issues in a mutually respectful and constructive way.
The course meets once a week for an hour and a half. Live-session interaction and post-session discussion forums play a key role as students explore, in a give-and-take spirit, the pros and cons of each position.
This course is designed for medical students, nursing students, and other healthcare professionals, as well as for students at the graduate or advanced undergraduate level in biology, philosophy, political science, public health, law, and related fields.
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.
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.
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.
This course provides a comprehensive set of financial management tools for nonprofit professionals, including managers and staff, whether they oversee financial statements and reporting or need to translate financial statements and reporting across stakeholders. This course emphasizes the requirements for nonprofits in recording and budgeting the financials to support the organization’s mission. Additionally, the course will provide students with the ability to analyze financial statements and answer financial questions typically asked by stakeholders such as the governing board, donors, the public, beneficiaries, media, and regulators. Finally, the course will identify the risks and opportunities found in an organization's financial information to increase the public's confidence in and understanding of the organization's mission and operations.
This course provides a comprehensive set of financial management tools for nonprofit professionals, including managers and staff, whether they oversee financial statements and reporting or need to translate financial statements and reporting across stakeholders. This course emphasizes the requirements for nonprofits in recording and budgeting the financials to support the organization’s mission. Additionally, the course will provide students with the ability to analyze financial statements and answer financial questions typically asked by stakeholders such as the governing board, donors, the public, beneficiaries, media, and regulators. Finally, the course will identify the risks and opportunities found in an organization's financial information to increase the public's confidence in and understanding of the organization's mission and operations.