In the 2015 Paris Agreement, the international community vowed to “reach global peaking of greenhouse gas emissions as soon as possible,” and to achieve “rapid emissions reductions thereafter.” Despite that, however, global emissions continue to increase. The lack of progress has spurred interest in the possibility of removing greenhouse gases directly from the atmosphere. Modelling by the Intergovernmental Panel on Climate Change suggests that atmospheric greenhouse gas removal (GHGR) could help to combat climate change in three ways. First, GHGR could be used to reduce net emissions in the short-term, while countries are in the process of decarbonizing. Second, GHGR could be used to offset residual emissions from hard-to-decarbonize sectors (e.g., aviation) and thus achieve net-zero emissions. Third, in the longer-term, GHGR could be used to achieve net-negative emissions if deployed at levels exceeding residual emissions.
Scientists have proposed a variety of GHGR techniques, but questions remain about their efficacy, benefits, and risks. Technical feasibility is not the only consideration as large-scale deployment of GHGR could raise a host of social, ethical, and governance issues. For example, some climate activists have argued GHGR may discourage action to reduce emissions, and further entrench fossil fuel use. Others have expressed concern about the equity and justice implications of deploying GHGR, arguing
that it could exacerbate existing inequalities and place the most vulnerable at greater risk. Existing governance frameworks may not be effective in preventing these negative outcomes nor maximizing the benefits of GHGR.
This course will explore possible technique for large-scale GHGR. We will discuss the feasibility of deploying different techniques, with a particular focus on the ethical, social, and governance issues that large-scale deployment could raise. We will also consider strategies for advancing just and equitable deployment and explore the role of different actors (e.g., governments, the private sector, and civil society) in ensuring that occurs.
Disaster management is a continuum that is affected by decisions, investments and dynamics that occur before, during and after disasters. The issue of equity in disaster management is emerging from an abundance of evidence that shows that societal inequities often translate into inequitable outcomes and disproportionate impacts from disasters. Community engagement strategies are often touted as a solution to the inequities, but many aspects of community participation are complex, with additional
effort and investments required for working with vulnerable and marginalized communities. Further, power dynamics between disaster experts and vulnerable communities may bias approaches to disaster management as well as representation within relevant power structures. This seminar is designed to provide an introduction to some of the variables that impact vulnerability and inequity in disaster management, ultimately leading to inequitable outcomes. It also provides an overview of current and emerging strategies in community engagement designed to foster a “whole of community” approach to disaster management.
The purpose of this course is to prepare those entering the climate policy and practice workforce for addressing these challenges by providing an overview of issues of equity and building community partnerships in disaster management. At the end of this course learners will be able to:
Describe social determinants of disaster vulnerability and resilience
Describe how governance and financial structures can drive inequity in the disaster cycle
Identify whole community approaches for disaster management
Identify mechanisms to develop partnerships with underserved communities and emergent partners in disaster management
Demonstrate the ability to develop strategies for disaster management based on best practices for community engagement and addressing equity concerns.
This course is meant to provide an introduction to regression and applied statistics for the social sciences, with a strong emphasis on utilizing the Python software language to perform the key tasks in the data analysis workflow. Topics to be covered include various data structures, basic descriptive statistics, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, data visualization, models for binary outcomes, models for ordered data, first difference analysis, factor analysis, and cluster analysis. Through a variety of lab assignments, students will be able to generate and interpret quantitative data in helpful and provocative ways. Only relatively basic mathematics skills are assumed, but some more advanced math will be introduced as needed. A previous introductory statistics course that includes linear regression is helpful, but not required.
Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that there are separate online and in-person versions of the course, and the modalities offered may vary by semester. Be sure to check the modalities of the sections offered and enroll in the correct modality for your situation.
Life Cycle Assessment (LCA), a methodology to assess the environmental impact of products, services, and industrial processes is an increasingly important tool in corporate sustainability management. This course teaches both the theoretical framework as well as step-by-step practical guidelines of conducting LCAs in companies and organizations. Particular emphasis is placed on separating the more academic, but less practically relevant aspects of LCA (which will receive less focus) from the actual practical challenges of LCA (which will be covered in detail, including case studies). The course also covers the application of LCA metrics in a companies’ management and discusses the methodological weaknesses that make such application difficult, including how these can be overcome. Product carbon footprinting (as one form of LCA) receives particular focus, owing to its widespread practical use in recent and future sustainability management.
Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and a team based projects. By the end of this course you will be able to develop a marketing strategy based market assessments and company needs.
This course is designed for students interested in entrepreneurship and becoming CEO/Founders or leaders in industry as innovators and operators. The class is appropriate for those with a strong interest in new ventures or innovation at the corporate level, or for those who want to develop an entrepreneurial mindset even if you have no plans to start a business. This includes potential entrepreneurs, those interested in the financing of new ventures, working in new ventures, or a portfolio company, or in broader general management of entrepreneurial firms. Entrepreneurial topics include: the entrepreneurial journey, founders & co-founders, the art of the pitch, shaping opportunities, traditional business models, business models for the greater good, the lean startup method and the hypothesis-driven approach, technology strategy, product testing, marketing strategy, entrepreneurial marketing, venture financing and emerging developments. Academic readings, analysis of case studies, class discussions, independent exercises, reading assessments, team work, guest speakers, investor panels, weekly deliverable options and a final investor pitch are the main modalities used to help you learn and assist you on your entrepreneurial path. There are no prerequisites for this course.
This course provides an introduction to computer-based models for decision-making. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing. Applications will include advertising planning, revenue management, asset-liability management, environmental policy modeling, portfolio optimization, and corporate risk management, among others. The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces. Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked “experts only.” The rise of personal computers, friendly interfaces (such as spreadsheets), and large databases has made modeling far more accessible to managers. Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.
Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future.
Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries, data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices.
This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.
Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.
The topic of health care continues to capture the attention of the nation in ongoing debates fueled by rising costs, overutilization and the implementation of much needed reforms (Affordable Care Act). As the healthcare industry continues to rapidly evolve, it provides immense opportunities for learning and applying concepts, theories and research related to negotiation and conflict resolution in procurement of medical devices and difficult conversations such as advanced directives to name a few. This course is applicable not only to students pursuing careers in health care, but is also designed for students who are interested in applying negotiation skills that they have learned in an environment that can be emotionally charged and conceptually complex.
Throughout this course students will be given the opportunity to apply the skills they have learned from previous classes as well as solidify key concepts including but not limited to negotiation preparation, quantitative/qualitative analysis, influence, social cognition, asymmetrical information, and conflict resolution in a healthcare context. This course is designed to challenge each student to harness their critical thinking skills, uncover nuances and recognize the complexities associated with multiparty negotiations in healthcare. This course aims to enable students to develop and implement strategic processes that help bring parties together and promote new perspectives that will bridge the gap between the classroom and real-life scenarios.
During the course, students will gain insight into the history of the US healthcare system as well as the changing dynamics associated with the Health Care Reform, and end of life discussions. This course will emphasize the role of negotiations from multiple perspectives and will utilize an expert panel videos of such subject matter experts as hospital administrators/executives, physicians and medical device manufacturers in order to provide historical case studies as well as review real-life negotiations. Students will actively engage in negotiation planning and role plays, read case studies and other materials about negotiation and the healthcare field, as well as, use industry software to help them prepare for negotiations.
This course is structured around class-wide and individual exercises that introduce students to the key principles of entrepreneurial thinking, such as identifying problems and opportunities, thinking creatively, developing minimally viable products (MVPs) and low fidelity prototypes, creating a reliable workflow, pivoting and course-correcting, finding valuable help, and developing productive habits. In addition, students are introduced to the key tools of quantitative reasoning, including surveys, observational data, experiments, simulation and projections, data analysis, statistical reasoning, organized researching, and persuasive and authoritative writing – and how those tools support entrepreneurial projects. Students should leave the class equipped with the sense that they themselves can produce constructive change in their world, along with a blueprint for how to go about getting it started.
Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.
This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. (It should also give students a flavor of what would be expected of them in a typical data science interview.) Each week will have simple, moderate and complex examples in class, with code to follow. Students will then practice additional exercises at home. The end point of each project would be to get the data organized and cleaned enough so that it is in a data-frame, ready for subsequent analysis and graphing. Therefore, no analysis or visualization (beyond just basic tables and plots to make sure everything was correctly organized) will be taught; and this will free up substantial time for the “nitty-gritty” of all of this data wrangling.
Prerequisites: basic probability and statistics, basic linear algebra, and calculus This course will provide a comprehensive overview of machine learning as it is applied in a number of domains. Comparisons and contrasts will be drawn between this machine learning approach and more traditional regression-based approaches used in the social sciences. Emphasis will also be placed on opportunities to synthesize these two approaches. The course will start with an introduction to Python, the scikit-learn package and GitHub. After that, there will be some discussion of data exploration, visualization in matplotlib, preprocessing, feature engineering, variable imputation, and feature selection. Supervised learning methods will be considered, including OLS models, linear models for classification, support vector machines, decision trees and random forests, and gradient boosting. Calibration, model evaluation and strategies for dealing with imbalanced datasets, n on-negative matrix factorization, and outlier detection will be considered next. This will be followed by unsupervised techniques: PCA, discriminant analysis, manifold learning, clustering, mixture models, cluster evaluation. Lastly, we will consider neural networks, convolutional neural networks for image classification and recurrent neural networks. This course will primarily us Python. Previous programming experience will be helpful but not requisite. Prerequisites: basic probability and statistics, basic linear algebra, and calculus.
Digital media opens new opportunities for increasingly targeted communications across a variety of channels, which rapidly expands the importance of analytics in tracking and measuring key performance indicators (KPIs). This course prepares students to work within data- and model-driven environments with an emphasis on using analytics to develop insights and support strategic decisions.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
This required NECR course will introduce the concepts and skills of mediation, a type of third-party conflict intervention. This course will provide students with theory, research, and practice to effectively use mediation skills in a wide variety of contexts. Mediation practices are frequently applied to a variety of conflicts and are employed in conflict resolution strategies. Thus it is imperative for a conflict resolution practitioner to develop knowledge and skills of this practice. In this course students will be introduced to mediation philosophies, approaches, applications, and skills through readings, scholarly reflections, role-plays, a collaborative group project, and a term paper. This course will provide a deeper understanding of problem-solving and relational styles of mediation and the goals aligned with each. Students will learn to identify when mediation is appropriate, prepare for a mediation, employ communication skills, deal with negative emotions, address ethical dilemmas, and consider the cultural influences surrounding the parties and conflict.
Prerequisite: NECR 5105 Introduction to Negotiation
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In this course, we will explore negotiation from several points of view and approaches. We will also look at characteristics that impact the quality of our negotiations and the outcomes, such as the role of emotions, cultural considerations, effectiveness of our communication, and opportunities to seek out negotiation to transform relationships. The course will be a blend of concepts and skills, theory and practice. On some occasions, you will be introduced to a concept and then asked to apply those concepts in an experiential activity. At other times, you will be asked to engage the activity or simulation and then the concepts will be elicited based on your experience. You will have several opportunities to practice developing your skills throughout the course, in terms of enhancing your practice and honing your analytical and conceptual understanding.
This course provides an opportunity for students in the Economics Master of Arts Program to engage in off-campus internships for academic credit that will count towards their requirements for the degree. The internships will facilitate the application of economic skills that students have developed in the program and prepare them for future work in the field.
An in-depth study of the intricacies of managing technical personnel and management teams in a fast paced and evolving business environment. Emphasis is placed on key challenges including the management of multiple technology projects, software development processes, and communications among technology managers and senior managers, developers, programmers, and customers.
This course explores key knowledge management and organizational learning concepts and techniques that are critical to business, individual, and organizational performance. As technology and the network economy drive businesses to compete under continuously accelerating rates of change in technology, business leaders must incorporate knowledge management and learning into their organization’s activities in ways that support and propel their business goals. They must also be proactive in recognizing and responding to the influence of technology on these goals and environment(s) in which they are accomplished. Class sessions encompass a set of topics including purpose, planning, success measurement, and implementation of knowledge management initiatives and organizational learning techniques. Through lectures and individual and collaborative work, students explore how they can use these techniques to improve business performance and strengthen their leadership and management capabilities.
An in-depth understanding of how to market a business plan and raise capital to launch new ventures. Topics include capital alternatives, confidentiality, meeting analysis, finalizing agreements, and shareholder alternatives. The course requires the design of a venture that contains multiple approaches for investment. Workshop exercises cover methods of negotiating initial investment, management control, and forecasted return-on-investment.
Competition, espionage, theft, sabotage, and warfare, traditionally carried out “in the field” have erupted online. State-sponsored cyber-attacks target critical infrastructure, financial systems, government agencies, political adversaries, retail, and consumer databases, and the intellectual property of technology firms. This course covers the defensive techniques that address perimeter and data security. Business model relationships to security architecture are examined, in particular managing vulnerability introduced through mergers and acquisitions, and Active Directory migrations. Service and Administrative account management and other aspects of network design will be analyzed. Students will investigate recent newsworthy cases and devise countermeasures aimed at both incident prevention and effective CIRT (Cyber Incident Response) management.
Cybersecurity Strategy and Executive Response
This course examines how to develop realistic market plans, forecast schedules, and build effective sales teams for new and ongoing business operations, covering the basic rules of pricing, the positioning of technology products and services for market, how to determine life cycles of new products, and the sales management of complex technology-based teams.
The idea of a “multiverse” is derived from Big Bang and Black Hole cosmology. It posits an infinite set of alternative universes in the space/time continuum — in other words, what we identify as reality. Scientific theory aside, this is precisely what has occurred in the entertainment sphere as a result of advances in entertainment technology. We see how technology has obfuscated the demarcation and delineation lines between entertainment media. Rather than perceiving this as a problem or challenge, this course approaches such an evolution from the point-of-view of infinite possibilities. The breadth of content covered in this course ranges from Creative Commons licenses to the various interactive entertainment development technology platforms used to create games, virtual worlds, social media arenas, and cross-disciplinary initiatives as diverse as online gaming, media, branding, enterprise, government, military, and educational solutions.
Existing energy sources and the infrastructures that deliver them to users around the world are undergoing a period of rapid change. Limits to growth, rapidly fluctuating raw material prices, and the emergence of new technology options all contribute to heightened risk and opportunity in the energy sector. The purpose of this course is to establish a core energy skill set for energy students and prepare them for more advanced energy courses by providing a basic language and toolset for understanding energy issues.
Using theoretical and practical understanding of the process by which energy technologies are developed, financed, and deployed, this course seeks to highlight the root drivers for change in the energy industry, the technologies that are emerging, and the factors that will determine success in their commercialization. Understanding these market dynamics also informs good policy design and implementation to meet a broad range of social welfare goals.
Upon completing the course, students should not only understand the nature of conventional and emerging energy generation and delivery, but also the tools for determining potential winners and losers and the innovative pathways to drive their further deployment.
This course is designed either for students who wish to embark on or further careers in politics and for those interested in exploring the dynamic field of political communication. Three themes anchor the course material: 1.) strategic communication, or deliberate and goal-oriented communication, which enables professionals to analyze and execute political strategy; 2.) message, which enables the crafting and critique of more or less effective political communication; and 3,) research, which political professionals use to formulate, shift and optimize their strategies.
This introductory core course examines the central role of marketing and communications in fulfilling the mission of nonprofit institutions of all types and at all stages of development. The programmatic objective of this course is to build a shared set of competencies and understandings around the power, practices, ethical applications, and desired outcomes of nonprofit marketing and communications.
Dramatic changes across civil society in recent years, including the evolving role of nonprofits in democratic discourse and the rise of new forms of communications technologies, means that nonprofit leaders today must have a fundamental understanding of the principles of marketing and communications in order to ensure organizational success both internally and externally. While outreach technologies and trends change rapidly in our era, true excellence in the field is based upon a core group of basic skills that are hardly novel: strong writing and analysis, strategic planning, and the ability to connect disparate individuals across a wide range of disciplines and diverse backgrounds to build an inclusive community around shared goals.
This course is designed to help students gain these skills through engaging with the strategic frameworks and tactical applications needed to create and leverage a range of communications and marketing activities. The course will introduce students to multiple communications and marketing practices designed to engage key stakeholders, including donors, the media, volunteers and advocates, and additional internal and external influencers and sector leaders. Throughout the semester, the principles of diversity, equity, and inclusion in all forms of outreach (written and oral; digital and print) will be foregrounded.
No prior marketing or communications experience is necessary.
This is an interdisciplinary workshop for scientists, future NGO workers and journalists seeking skills in communicating 21st-century global science to the public. Scientists will be given journalism skills; journalists will learn how to use science as the basis of their story-telling. The course is designed to give students exercises and real-world experiences in producing feature stories on global science topics. While most scientists and international affairs professionals have been trained to write in the style of peer-reviewed journals, we will focus on journalism techniques, learning how to translate global science into accessible true stories that reach wide audiences.
Science is performed by passionate individuals who use their intelligence and determination to seek answers from nature. By telling their histories and uncovering the drama of discovery, we believe that there are ways for science to be successfully communicated to readers who might otherwise fear it.
Effective dialogue is one of the single most important activities of leaders today. Whether you are confronting a team member who is not keeping commitments, critiquing a colleague’s work, disagreeing with a spouse about financial decisions, or telling someone no, critical conversations are often avoided or handled in clumsy ways. This course will provide the theory underpinning these conversations, diagram their structure, and provide specific strategies for approaching them successfully.
This course is designed to provide students with working knowledge on how to make successful investments in sustainable companies and to prepare students to be conversationally literate in financial reporting. As you leave the school and become leaders of organizations financial literacy will be a skill set that will be vital to success no matter what career path you go down. It starts with a strong foundation in accounting and corporate finance, then moves on to ESG/Impact screening of potential investments, along with valuation techniques used to arrive at a purchase price. It will explore financial models that can aggregate multiple variables used to drive investment decisions.
To understand and lead a transition to a sustainability-aware business, managers must first be familiar with the terminology, practices and consequences of traditional accounting and finance. Students will learn traditional financial and accounting methods and tools. We will examine how these methods and tools are changing to improve product and service design, resource efficiency and allocation, employee productivity and sustainability performance outcomes. Students will learn how value is created in a company and the different methods employed to create that value, conduct due diligence, discuss optimal capital structure to finance a transaction, execute a transaction, and implement a Sustainability-based value-added operating plan to the target company. The course will conclude with students preparing a persuasive investment memo and accompanying financial model to the investment committee of an impact investing asset management firm. The course also provides a practical introduction to selected non-financial accounting topics including sustainability reporting standards, ESG corporate performance indicators and corporate social responsibility report (CSR Reporting).
This course will build on the topics and tactics covered in Business Intelligence in Sports to create a real-life learning lab where students can apply key concepts and expand their techniques against real data from a partner professional sports team. More advanced skills around SQL, Tableau, and R will be developed and applied to relevant scenarios using available data such as customer demographics, behaviors, tickets, attendance, social media, marketing, surveys, and sponsorships. Students will leave the class prepared to join a team’s business intelligence department and make immediate contributions.
Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
Prerequisites: STAT GU5204 and STAT GU5205 Open to MA students in Statistics only Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Open to MA students in Statistics only Prerequisites: STAT GU4205 or the equivalent. Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.
This course provides a rigorous analysis for the design and management of a major, leadership and campaign fundraising program in most nonprofit organizations. This class will examine the strategic skills to incorporate these initiatives into a balanced philanthropic program. From donor acquisition in an Annual Giving Campaign to The Ask for a Leadership Gift in a Capital Campaign, there will be an emphasis on understanding the donor and developing relationships. Students will learn how to identify major gift prospects from a strong annual giving program, build a major gift program, organize fundraising campaigns, establish a timeline, introduce explicit leadership expectations, and develop strategies to maximize the collective resources of volunteer leaders, donors, and colleagues. Students will also explore how to position special gift opportunities within the context of a long-range strategic planning process.
Critical thinking will be encouraged and ethical concepts central to the performance of philanthropic practices will be explored throughout the semester. Finally, the course examines qualities and skill sets of successful major gift officers and campaign fundraising, helping students become familiar and comfortable with the process of working with all development staff to build a strong major gift program, facilitating, and managing the leadership ask, and participating in a comprehensive fundraising campaign.
Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
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 elective “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.
The creation and maintenance of sports leagues is a nuanced and complex endeavor. This course examines the format, hierarchy, membership, governance, and operational efficiencies of several sports leagues that have been launched with varying levels of success. Through a combination of lectures, case studies and guest speakers, students will learn about the ideation, funding, legal aspects, marketing, media strategy and monetization of these businesses, both domestically and globally. Students will gather data about emerging sports leagues of the past and present and conduct research on the leagues of their choice. The culminating project in this course will be an original proposal by student groups of a new sports league, addressing all of the aforementioned dimensions in a formal presentation to potential ‘investors.’ Students will present their proposal via online video conference for instructor feedback following the block week. This course is ideal for students who have an interest in the structural and operational decisions that affect the success and sustainability of sports leagues and their members.
This is an elective course for the M.S. program in Sports Management; students in the program may take this course when allowed by their curriculum requirements. Students outside of the Sports Management program may take this course upon approval of the Academic Program Director.
This course focuses on the duties, responsibilities, and challenges of managing IT project managers in complex organizations. It offers a holistic presentation of the key issues a program manager – and their respective project managers – will need to consider when planning, implementing, and reporting on a suite of projects (i.e., a program). It introduces executive students to the multifaceted realities that supervisors of project managers deal with in the context of technology systems. It pays especially close attention to crisis management in the context of programs, and provides students with best practices for addressing corollary concerns. The course will introduce students to multiple frameworks for managing programs – offering students perspectives from global project managers.
Some assignments in this class mimic the kinds of deliverables a program manager will be expected to produce throughout the course of managing a suite of projects. Students must therefore develop an approach to program management based on actual projects within their company or industry. Other assignments in this class will have to do with case studies, allowing students the ability to reflect on how they will respond in a number of common situations, such as interpersonal issues, calendaring failures, and legal risk.
Sitting at the intersection of business strategy, digital development, user experience, communication, and publishing, content strategy has emerged over the last few years as a discipline examining the purpose behind content (in all manifestations) and how it supports business, organizational, and user goals. While it originated in digital web design and user experience, content strategy now encompasses a much broader set of considerations and addresses content creation, distribution, and governance across multiple channels, especially the interplay among digital, social, and traditional media. Content strategy provides a holistic approach for unlocking the value behind content and for increasing its effectiveness in achieving business and organizational objectives. This course will present the fundamentals of content strategy and explore the discipline’s approaches, techniques, and tools that course participants can apply directly to the content situation in their own organization. It will draw parallels with – and highlight distinctions among – traditional communication strategy, publishing, and content strategy, and provide students with a framework to create a sustainable program grounded in meaningful, actionable content.
This elective course that will enable Technology Management Master’s students to develop the confidence and skills
in communication, self-reflection, emotional intelligence, and decision-making that are at the core of executive
presence. More specifically, honing executive presence in today’s work environments requires leaders to actively
engage with issues of difference, inclusion, and diversity and develop a working knowledge of power dynamics,
personal and organizational identities, and articulation of one’s vision and values. This course situates executive
presence alongside diversity equity and inclusion issues that arise in the technology management workplace. Core
topics in Executive Presence Today include: 1) establishing trust and credibility as an executive; 2) interpreting and
disrupting racism, exclusion, and bias; 3) communicating authentically; 4) driving internal and external change; and
5) making sound decisions in ambiguous, complex, high-stakes contexts.
Throughout the course, you will study executive presence through the lens of technology professionals, learning
from case studies and executives in the field from varied technology industries in corporate, mission-driven or non-
profit, and education contexts. You will explore how to lead with poise and confidence in a technology management
context where constant digital innovation and disruption are the norm. You will examine issues of cyber security
decision-making where establishing credibility among senior officials may present conflicts to your values,
identities, and closely held relationships. You will articulate a vision for how technology can be leveraged to
innovate and improve products, services, and company bottom lines while deepening your communication skills.
In this course, you will be learning about yourself as a leader and hone the skills of executive presence
through work in the field with mentor executives and peers, in-class collaborative learning experiences, regular
reflective writing, weekly public speaking assignments with immediate feedback, and written assignments.
This course will develop the knowledge and skills necessary for conducting comprehensive and focused health assessments for individuals with emphasis placed on interviewing skills, health histories, and physical and psychosocial findings in the well person. Communication and record keeping skills are developed.
The primary objective of this course is to become familiar with the typical phases of an internal or external consulting project. The course is designed to provide a deep understanding of the typical challenges, opportunities, phases, and methods for conducting a successful consulting assignment for knowledge-based organizations. A typical strategic consulting assignment includes the following phases: organization assessment, sponsor/client relationship, gathering data, diagnosis issues, implementation, and measurement. Drawing on examples from a variety of organizations, this course will focus directly on strategies for building a successful knowledge service or product for organizations or institutions. We will provide knowledge of foundational frameworks and theories and the need for tailored approaches for different clients. Students will get hands-on experience diagnosing and proposing knowledge strategies for improving organizational effectiveness and competitiveness.
Successful consulting, whether internal or external, requires many capabilities and, at heart, is dependent on the client-consultant relationship. Students will be engaged in working on a simulated consulting assignment based on the current organization in which they work. Alternatively, students may discuss with the faculty to be assigned to work with a voluntary organization seeking student input. During the term, each student will complete individual and team assignments that build on the deliverables needed for an actual consulting assignment. By developing expertise in strategic leadership consulting, students will gain credibility, competence, and confidence in their ability to communicate, design, develop, and provide knowledge and change services to an organization and society. During the semester, students will learn strategies for building knowledge services, including the models, methods, processes, and social factors that promote successful change.
This course is designed for students who are or will be working in positions that require internal or external organizational consulting skills or in positions that require managing organizational change initiatives. No prerequisites.
For-profit and nonprofit organizations, alike, are embracing networks to share insights and data, act as a voting block, serve customers, foster pluralism, and innovate. For example, realtor COMPASS, the World Health Organization, the World Bank, and electric cooperatives are all leveraging networks. The ideas of “open” and “collective” are no longer seen as a rarified university experiment. Now these present a viable means for a growing number of purposes: get to market faster, thwart climate change, clean the oceans, and find cures to intractable diseases.
“The Science of Communities and Networks” presents the structure, impacts, and practical work of networks. There are many different forms of network, varying in size, shape and purpose. Yet there are some common practices and behavior models that trace their origins back to the science of the human brain, evolution and social and behavioral psychology. We will use the Knowledge Network Effectiveness Framework, a logic model flowing backwards from outcomes, to individual and social behavior, to dynamics, to design. Our lenses will also include social network analysis (SNA), complex spreading phenomena, behavioral insights, and cooperation. These lenses we bring to discuss practical cases in each of several network forms:
social networks
communities of practice (or knowledge-networks),
open source,
open data, and
open innovation.
Students will envision, diagnose and design networks for “cooperative advantage.” We will do that while considering that networks operate in the context of human bias, social influence, sustainability challenges, and technology advancement.
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.