This class is designed for the intermediate student to gain a more advanced level knowledge of Spanish vocabulary, verb conjugation, and medical terminology for use in a clinical setting. In addition to short lectures to facilitate grammar and usage patterns, class time will be used for intensive speaking practice to improve pronunciation, enhance comprehension, and build confidence in using Spanish through the use of hypothetical scenarios, student presentations, and small group discussions to improve Spanish language and Spanish language proficiency.
This seminar will expose students to classical texts in political theory relating to revolutionary action, political ethics and social militancy from the Communist Manifesto to 1968. The course will explore the idea of revolutionary ethics as conceived by Western and non-Western political philosophers and militants. The discussion will stress the connection between philosophers and revolutionary leaders and the transformation of the idea of radical politics through the dialogue between these two discourses (the philosophical and the militant) and the public reception of revolutionary events in the media and commemorative writings. Authors will be examined according to their historical context and their role in the tradition of political thought and the history of radical politics from 1848 to the mid-sixties. Students will be exposed to different discourses of political militancy and radical politics and to reflect on the ethical implications of the history of radical thought and action in comparative perspective.
Selected topics in computer science. Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science. Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.
Only for BMEN graduate students who need relevant work experience as part of their program of study. Final reports required. May not be taken for pass/fail credit or audited.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for Civil Engineering and Engineering Mechanics graduate students who include relevant off-campus work experience as part of their approved program of study. Final report and letter of evaluation required. May not be taken for pass/fail credit or audited.
Only EAEE graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. This course may not be taken for pass/ fail credit or audited. International students must also consult with the International Students and Scholars Office.
Only for ME graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. May not be taken for pass/fail credit or audited. International students must consult with the International Students and Scholars Office.
English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.
Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.
Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.
Prerequisites: enrollment in the M.A. Program in Climate and Society. During the third and final term of study for the 12-month M.A. Program in Climate and Society, students must complete an internship and simultaneously enroll in CLMT 5006. The summer internship requires a minimum of 210 hours of professional participation during the Summer Term in a position related to core issues of concern to the Program. The selected position must be approved by the Director of the M.A. Program by a specified date in the Spring Semester preceding the Summer Term. The position must be substantive in nature and must constitute a practical, professional experience. Students will be evaluated on the basis of oral and written updates on the work, a student internship report to be submitted at the end of the Summer Term, and on the basis of a supervisor report form to be submitted by the site supervisor for the internship.
In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.
In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.
In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.
In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.
In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.
The course seeks to familiarize students with the basic derivatives (futures and options contracts). Both have played a role in the markets for many-many years (before the emergence of modern derivative markets in the 70s). Following the beginning of standardization at CBOE (1973) we have witnessed a dramatic growth in options markets and options are now traded on many exchanges around the world (CBOE, PHLX, NYSE etc.) Huge volumes of options are also traded over the counter (OTC), particularly on foreign exchange and interest rates. Many options are traded daily in the markets on a wide array of underlying assets from commodities to financial instruments (stocks, bonds, indexes, currencies, futures etc.) to… weather! The appearance of exotic options has driven volumes even higher in the OTC market providing investors with even wider possibilities for customizing risks borne and hedging against risks.
Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.
Students will gain an overview of major concepts of management and organization theory, concentrating on understanding human behavior in organizational contexts, with heavy emphasis on the application of concepts to solve managerial problems. By the end of this course students will have developed the skills to motivate employees, establish professional interpersonal relationships, take a leadership role, and conduct performance appraisal.
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.
The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice. By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.
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.
This course is about cost-benefit analysis and the economic evaluations of policies and projects. Cost benefit analysis (CBA) consists of a comprehensive set of techniques used to evaluate government programs. It is now routinely applied in such program areas as transportation, water projects, health, training and education, criminal justice, environmental protection, urban policy and even in the international arena such as foreign direct investment. Many of the techniques of CBA can also be applied to private sector decision-making. The objective of CBA is to determine whether the benefits of a particular program, policy or decision outweigh its costs. The techniques used to determine this are sometimes quite simple, but on other, increasingly frequent occasions are highly sophisticated. Sophisticated cost benefit studies are based on a framework that utilizes the basic concepts of economic theory. In addition, statistical and econometric analyses are often needed to estimate program effects from diverse available data. The course has two parts: methodology and practice. The goal is for students to be practically adept to undertake an independent cost-benefit analysis.
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 team based projects. By the end of this course, you will be able to develop a marketing strategy based on market assessments and company needs.
The purpose of this course is to provide an overview of trends and best practices in corporate communications relating to sustainability, with a particular focus on global sustainability reporting frameworks and green marketing communications. It is designed for those who hold/will hold positions in organizations with responsibilities for communicating the sustainability goals, challenges and achievements, as well as accurately and honestly communicating the environmental aspects of an organization's products and services. Increasingly, large corporations are creating c-suite roles or dedicated departments to oversee this function. More typically, multiple functions contribute information such as: Corporate Communications, Marketing, Community Affairs, Public Policy, Environmental Health & Safety, R&D, Facilities, Operations and Legal. Benefits of reporting range from building trust with stakeholders, and uncovering risks and opportunities; to contributing to stronger long-term business strategy, and creating new products and services.
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.
With climate change visibly affecting communities around the world, it is essential to society to transition to renewable energy sources to minimize further climate warming. As for any generation source, installation of renewables is very capital intensive. This course will examine key “ingredients” necessary to finance a renewable project / make it economic, including but not limited to:
Ability to finance at the project level
Different forms of capital available / requirements to successfully finance
Revenue models for renewables investors and required returns
Role of government incentives in financing renewable energy / latest US legislation
Key technical issues that arise with increased renewables penetration
Global geopolitical landscape and its impact on energy transition
Equity an inclusion in the approach to building a renewable landscape
As part of the course, we will review multiple case studies and will approach the topics both from theoretical and quantitative perspectives.
The field of disaster research is relatively new in the United States, as a specific field of study, with the first disaster research center being founded in the early 1960s. The field itself is now highly multi-disciplinary, drawing from the social sciences, anthropology, political science, computer science, engineering, earth sciences, psychology, and medicine and public health. These academic fields have intersected with the practice community by informing holistic emergency planning for all members of a community. Furthermore, these research outputs have informed federal and state policy, the private sector, and community organizations to inform program design and implementation. Translating research into practice remains a constant challenge in this rapidly evolving field. The methodological approaches to disaster research are just as diverse and have become increasingly complex with the advent of big data, the ubiquity of spatial information, and novel cross-disciplinary research. As a new era of compound and cascading disasters has triggered a constant “response” mode within the field of emergency management, the need for practitioners and research with a fluency in research and evaluation methods is required to critically evaluate or generate high quality and ethically based research.
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.
Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams. This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms. We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field. Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.
Often, our progress toward the remediation of persistently accumulating human damage to our collective home, the biosphere, is attributed to large-scale entities having a rather amorphous quality. Such are the industrial revolution, the global north, capitalism, colonialism, and countless preoccupied, habituated or denialist components of the human population. Yet, the dynamics of all types of leadership and management, whether in public, civic or private organizations, frequently push back on the progress desired, in more specific ways. These dynamics are so characteristic that climate ethics, an offshoot of environmental ethics, may seem to be cornered or futile. However, looking more closely at the essential functions of leadership and management, we may find the possibilities of change for the better: change that reverses climate change, or more widely, unsustainability. Conversely, we may find inadequate possibilities for such critical change.
In this course, leadership and management are explored to determine their dynamics are and how these afflict our biospheric home—including virtually all life. The course is divided into 4 sections, the 1st is two weeks long, the 2nd and 3rd are each four weeks long, and the 4th is two weeks long. The topic of the 1st section is climate ethics, their content and context: how they work and how they are tripped by surrounding problematic discourses. The topic of the 2nd section is leadership: at its becomingly best, and how it demeans itself with incapability, irresponsibility and corruptibility. The topic of the 3rd section is management: at its operationally best, and how it degrades itself with dysfunctional hierarchy, captive systematization, and offensive behavior. The topic of the 4th section reverts to climate ethics: the necessity of accruing and maintaining value—of the right kind, and the necessity of creating and applying guidance—of the right kind. It is not only because the impacts of problematic ways of doing things are harmful to the biosphere but also because those impacts have others, which are increasingly desperate, rancorous and volatile.
The signing of the Paris Treaty in 2015 signaled a recognition by nearly all the world’s governments of the need to reduce greenhouse gas emissions to avoid the worst effects of climate change. Meanwhile, the changing climate is already having negative impacts on business assets and operations around the world. Despite evidence that climate change poses a threat to business as usual for many companies, the financial sector has yet to form a consistent view on how to value risks and opportunities associated with climate change. There are multiple reasons for this. Climate-related disclosures vary widely from company to company, as do the ways that climate risks affect different sectors and geographies. The policy landscape is varied and fast changing. Unfortunately, many financial analysts lack the technical knowledge to assess corporate disclosures and actions pertaining to climate.
This 6-week course provides a practical overview of how analysts in the financial sector can assess corporate climate risk and opportunity among publicly traded corporates, using public data. The class will begin with the concept of how business leaders and financial analysts understand climate risk – alongside other concepts such as decarbonization, transition planning and climate impacts from a policy perspective.
We will then move to focus on industry-specific analysis in four sectors – 1) oil and gas, 2) consumer staples, 3) mining, and 4) financial services. In each, we will survey the tools that investors have to assess climate risk and opportunity, taking into account policy, voluntary frameworks, and technology. For each of these elements, we will review both how these tools can assist with climate risk analysis as well as their limitations and inconsistencies. We will consider ways the analyst can work with relevant data and reconcile public corporate claims with evidence through corporate disclosures.
The application of Machine Learning (ML) to climate science and environmental sustainability has become increasingly popular in recent years, promising to revolutionize how we analyze and address critical environmental challenges. This course will introduce students to the fundamental concepts and methods of ML, emphasizing their practical applications to climate science and environmental sustainability efforts.
Students will gain both theoretical knowledge and practical skills through hands-on experience with machine learning methods and coding. The course is designed to provide familiarity with the design, implementation, and evaluation of machine learning models towards addressing specific problems in climate science and sustainability. By working with real-world datasets, students will develop a deeper understanding of both the capabilities and limitations of ML tools in climate research and for evaluating environmental sustainability solutions. This course will cover essential topics such as data preprocessing, model selection, evaluation metrics, and the ethical implications of ML in climate science.
As ML tools become increasingly important to these application areas, this course will be invaluable for those looking to interact with scientists and engineers, manage scientific projects, and develop policies in the realm of climate science and sustainability.
Globally, there are over 2 billion people suffering from moderate-to-severe food insecurity, with an estimated 600 million people projected to be chronically undernourished by 2030. One key aspect to understanding food insecurity is its spatial distribution and trends that contribute to how food secure a population is. This course will teach students how to collect and analyze spatial data related to food security, as well as touch on important topics in food insecurity. The course will focus on taking real-life food security questions and applying spatial analysis techniques to these questions. In the course, we will cover an introduction to spatial analysis, natural experiments in geography, applying remote sensing to food insecurity, climate shocks and food security, and seasonal forecasting and food security.
It will have an in-class aspect, which will mainly focus on topics in food security and how they relate to data collection, and a lab section which will be an opportunity for students to collect data directly, clean the data, and analyze the data using the R programming language with spatial research methods. Example topics in class will be climate variability and food insecurity, women’s role in agriculture and their rates of food insecurity relative to men, and population and health. These topics will then be further explored in the lab section of the class: specifically focusing on downloading weather data for time series analysis, using a convergence of datasets to map hotspots, and investigating how survey data intersects with spatial datasets.
In this course, there will be two components; a lecture and a lab. The lecture will be short and focus on relevant topics in Food Security and methodology used to quantitative analyze these topics. The lab will be a computer-based lab in R, analyzing relevant food security data using techniques discussed during the lecture to provide a practical base for quantitative analyses.
Computing and data analysis have become an indispensable tool for researchers and industry professionals working in virtually any aspect of the modern world. This course will introduce students to the fundamental concepts and methods that are broadly applicable to any data science project, with a thematic focus on climate and environmental data. This includes an introduction to Unix, programming, common data formats, analysis, and visualization. The primary focus will be to teach students the foundations of Python in a climate data science context, which is of the most widely used and accessible programming languages today. Students will also be introduced to cloud computing, which will be the primary tool for in class assignments and projects.
The course is designed to be accessible for any students with an interest in being able to ask and answer questions using data. This course will also be invaluable for those looking to interact with scientists and engineers, manage scientific projects, and develop policies in the realm of climate science and sustainability.
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.
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.
Artificial intelligence (AI) and generative AI – like ChatGPT, MidJourney, and Gemini – are poised to change the world for everyone. It is critical that students understand (and utilize) this new technology at several levels. In this class – through readings and a dozen hands-on activities – students will come to deeply understand AI. Specifically, students will construct (using Python) some of the basic building-blocks of AI, like machine learning (like recommendation systems), natural language processing (like word embeddings) and chatbots. They will test out AI’s capabilities and refine prompts in real-world settings, whether in art, video, writing or Internet-of-Things. They will learn about how generative AI fits into the history of technology adoption and the diffusion of innovation, answering questions like: Will AI be able to replace whole jobs? And if so, when? They will use the lenses of psychology and economics to explore the impact of AI in people’s lives, including in the context of algorithmic fairness, regulation and intellectual property. They will be pushed to take human creativity in new directions, augmented by AI’s “weirdness.” Lastly, students will be pushed to further develop their own uniquely-human skills – like in critical thinking and empathy – in response to the power of generative AI to mimic humans. As best-selling author Seth Stephen-Davidowitz has recently (Dec. 2023) written, “So far, my newest book has higher ratings than either of my previous two books -- even though it was written in 1/36th of the time, thanks to AI. AI is wild!" By the end of this class, students will feel empowered technically and philosophically to handle all new generative AI developments. There are no specific prerequisites for this class.
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.
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.
Design-based Innovation is a set of perspectives and processes that organizations of all kinds, in any kind of industry or context, can use to navigate ambiguity to find the best possible opportunities to create change. It is also a well-developed set of practices to devise and deliver solutions for those potential audiences that result in valuable product, service, and other experiences that customers, consistent, and others respond to with satisfaction, delight, and a sense of value.
This class is a journey into the “fat edge” of technological innovations that could transform our economy and society over the coming years. We will tackle big questions: How do innovations redefine jobs and industries? What is the real impact of these changes from the C-suite to citizens? This course is about igniting a passion for change, a realization of its risks, and equipping you to lead with vision and principle.
This course provides a comprehensive examination of modern software product development, focusing on creating solutions that address clear user needs and challenges. A “product” in this context refers to a software program that instructs computer hardware to operate, solve problems, and manage tasks effectively.
Modern product development benefits from systematic practices that enhance efficiency, sustainability, and continuity. These practices, including flexibility, iterative development, customer feedback, and efficient project management, are essential for adapting quickly to rapidly evolving market and technology landscapes.
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With the advent of generative AI and the impending arrival of quantum computing, risks to organizations and individuals have grown exponentially. Innovation in offensive and defensive tools and technologies continues to increase. How does a leader keep up? Leaders must know how to work with internal experts and to manage these issues internally, with Boards, and for the public. Proficiency in strategies and principles, some of which date back to the ancient Greeks and Chinese, prevail over tools.
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.
Java is a versatile and powerful programming language widely used to build scalable, secure, and reusable applications. It is invaluable for processing large datasets, automating data workflows, and integrating analytical models with enterprise systems. Java’s extensive libraries and frameworks, combined with platform independence, make it an essential tool for creating robust data-driven solutions. From building data pipelines to creating APIs that connect analytical models to operational systems, Java equips students with the skills needed to tackle real-world analytical challenges.
This elective course introduces graduate students to Java programming with the overall goal of technical fluency in the programming language. Through a practical and application-focused approach, students will learn to write, compile, and execute Java programs while mastering foundational programming concepts. Key topics include object-oriented programming (OOP) principles, Java's role in modern software development, and the essential tools, libraries, and frameworks.
The course emphasizes developing problem-solving skills through hands-on programming assignments. It blends conceptual learning with practical experience in one of the most widely used programming languages in enterprise software development.
This course examines how international nongovernmental organizations (INGOs) can and often do contribute to social change, confronting and addressing various problems such as poverty, human rights violations, conflict, and climate change, among others. Students will leave with a deep appreciation of what it means to work in or with an advocacy-based NGOs. The course will help prepare them for future careers as an NGO leader, staff person, consultant, analyst, donor, or manager. Students will understand how NGOs are structured and the definition and differences between key concepts such as strategy, theory of change, governance, leadership, management, and program design.
The course will bring a scholar-practitioner perspective focusing on debates about strategy development, measuring impact, donor strategies, theories of change, institutional representation, diversity and equity, ethics, research methodologies, partnerships, networks, venues of engagement, campaigning, capacity-building, fundraising, resilience, sustainability, and external and internal communications.
The course will explore distinctions, similarities, and relationships among nongovernmental (national and international), government, and private actors as they seek to solve problems and have impact and create a better world. Throughout this exploration, we will identify major ethical issues raised by the very notions of charity, philanthropy and nonprofits. As a focus, the course will especially draw on examples from the international human rights movement, and often critically employ a “donor perspective” to draw out the hard strategic choices that INGOs (and their donors) are compelled to make. The course will also use documentary film about INGOs and their work, and various media produced about and by INGOs to help provide additional understanding.
The course will be discussion intensive and require students to utilize and reflect critical and analytical thinking; students will write individual papers, participate in group presentations, write occasional reflection papers, actively participate in discussion both in class and through postings on Canvas and present material to classroom colleagues.
This is an elective course in the M.S. Nonprofit Management Program and will be open, space permitting, to cross-registrants.
The course will draw on material from the management course offered as part of the core curriculum. It is not a prerequisite for taking the course but the syllabus ass
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).