The goal of this course is to provide students with practical experience in building and analyzing regression models to address business problems.
The course picks up where the core course in Managerial Statistics left off. We will begin with a brief review of regression analysis as covered in the core and then move on to new topics, including model selection, interaction effects, nonlinear effects, classification problems, and forecasting.
All material will be covered through examples, exercises, and cases. In addition, students will work in groups on a final project of their choosing. The goal of the project is to address a specific business problem through statistical analysis.
The importance of designing, building, and leading sustainable organizations is indisputable. Sustainability encompasses not only the environmental footprint of an organization but also the way in which firms treat workers and customers both within their firm and supply chain network. Understanding the role of operational excellence and strategic supply chain management in achieving sustainability is critical for effective leadership.
This course examines a variety of approaches to designing sustainability into an organization’s operations and how to measure and reduce a firm’s operational environmental impact. We also explore themes of risk, accountability, and sustainability within global supply chains. What challenges do firms face in being socially responsible when managing globally distributed supply chains? Three themes comprise this course: (1) designing sustainable operations, (2) drivers and consequences of sustainability, and (3) global sourcing and social responsibility.
• Designing Sustainable Operations. Sample cases include – REI Rentals, All Birds, IndigoAg, Supply Chain Hubs in Humanitarian Logistics.
• Drivers and Consequences of Sustainability. Sample cases include – Fiji Water, Aspen Ski Company.
• Global Sourcing & Social Responsibility. Sample cases include – IKEA, Ready Made Garment Industry, Roche & Tamiflu.
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
This 13-week course during the first term of the DPT curriculum provides students with a theoretical basis for understanding the body's physiological responses to exercise. Emphasis will be placed upon the practical application of exercise physiology principles in physical therapy practice.
This course is designed to provide an integrative view of human exercise physiology. This class will cover the acute and chronic adaptations to exercise including the cardiovascular, respiratory, neuromuscular and metabolic systems in relation to acute and chronic exercise.
This course covers the fundamental principles and techniques of experimental designs in clinical studies. This is a required course for MS, DrPH and Ph.D. in Biostatistics. Topics include reliability of measurement, linear regression analysis, parallel groups design, analysis of variance (ANOVA), multiple comparison, blocking, stratification, analysis of covariance (ANCOVA), repeated measures studies; Latin squares design, crossover study, randomized incomplete block design, and factorial design.
Business analytics refers to the ways in which enterprises such as businesses, non-profits, and
governments use data to gain insights and make better decisions. Business analytics is applied
in operations, marketing, finance, and strategic planning among other functions. Modern data
collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable
data like text and images – are leading an explosive growth in the volume of data available for
decision making. The ability to use data effectively to drive rapid, precise, and profitable
decisions has been a critical strategic advantage for companies as diverse as Walmart, Google,
Capital One, and Disney. Many startups are based on the application of AI & analytics to large
databases. With the increasing availability of broad and deep sources of information – so-called
“Big Data” – business analytics are becoming an even more critical capability for enterprises of
all types and all sizes.
This course provides an advanced, critical analysis of the delivery and payment of healthcare services in the U.S. It will analyze the attractiveness and feasibility of new approaches to address the challenges facing providers, payors and patients operating in an inefficient, misaligned, and fragmented healthcare system. Particular focus will be given to the impact of the 2009 HITECH Act as well as the Affordable Care Act (ACA) of 2010. There will be guest lectures by some of a variety of major leaders in healthcare business and policy. Students with limited knowledge of healthcare payment and delivery systems are unlikely to benefit from the course given the advanced nature of the material that will be covered."
A comprehensive overview of methods of analysis for binary and other discrete response data, with applications to epidemiological and clinical studies. It is a second level course that presumes some knowledge of applied statistics and epidemiology. Topics discussed include 2 × 2 tables, m × 2 tables, tests of independence, measures of association, power and sample size determination, stratification and matching in design and analysis, interrater agreement, logistic regression analysis.
This course continues the actor’s work of experiencing voice and text in a free body as a means to develop versatile and transformative speech. Students will deepen and refine their knowledge of the phonemes of the International Phonetic Alphabet (IPA), as well as the ability to categorize and utilize Lexical Sets in pursuit of a dialect/accent. Students will demonstrate their ability to notate texts and transcribe dialects and accents into both IPA and practically apply the framework of the Four Pillars and the Voice Recipe.
The student will use these tools, supplemented by handouts, video & audio resources and independent research, to study several accents/dialects in class as well as at least one additional independently researched accent/dialect. The goal of the class is to expand upon the actor’s choices of speech and vocal expression and to acquaint her/him with the resources necessary to truthfully portray an individual utilizing a dialect/accent on stage or screen.
Students will develop their own unique process for learning accents and dialects
, as well as efficiently and effectively applying their progression to texts via a combination of practice sentences, scene work, conversation, improvisation, cold readings, and a prepared monologue. Students will complete the course having created a personal, in-depth method for researching and performing a role in which an accent or dialect is required.
Students will do self-directed and supported research as part of their study. They will consciously and intelligently assimilate this contextual research into their embodiment choices. The final project is a presentation of their research and the sharing of a monologue that is ideally
written in the student’s selected dialect or accent
.
Proseminar for Graduate Students only.
This is an applied statistical methods course. The course will introduce main techniques used in sampling practice, including simple random sampling, stratification, systematic sampling, cluster sampling, probability proportional to size sampling, and multistage sampling. Using national health surveys as examples, the course will introduce and demonstrate the application of statistical methods in analysing across-sectional surveys and repeated and longitudinal surveys, and conducting multiple imputation for missing data in large surveys. Other topics will include methods for variance estimation, weighting, post-stratification, and non-sampling errors. If time allows, new developments in small area estimation and in the era of data science will also be discussed.
This is a course at the intersection of statistics and machine learning, focusing on graphical models. In complex systems with many (perhaps hundreds or thousands) of variables, the formalism of graphical models can make representation more compact, inference more tractable, and intelligent data-driven decision-making more feasible. We will focus on representational schemes based on directed and undirected graphical models and discuss statistical inference, prediction, and structure learning. We will emphasize applications of graph-based methods in areas relevant to health: genetics, neuroscience, epidemiology, image analysis, clinical support systems, and more. We will draw connections in lecture between theory and these application areas. The final project will be entirely “hands on,” where students will apply techniques discussed in class to real data and write up the results.
COURSE DESCRIPTION
Unrelenting technological progress demands entrepreneurs, executives, and managers to continually upgrade their skills in the pursuit of emerging opportunities. As “software eats the world”, executives from all industries are increasingly called upon to be “Full Stack”: capable of making competent decisions across domains as diverse as digital technology, design, product, and marketing.
In this course, we begin with primers on code, design, and product management. Once the foundation is laid, we examine the best practices for building great products and exceptional teams. We conclude with an overview of how technology is changing the way products are marketed, distributed, and monetized. Our goal is to equip “non-technical” executives with the terminology, tools, and context required to effect change in a software and internet-driven world.
COURSE LEARNING OBJECTIVES
To provide an understanding of the technologies that we encounter everyday, and how history can inform the technology decisions executives face today.
To become familiar the concepts that underpin modern computer programming, empowering managers to engage with engineers credibly and confidently.
To shed light on the processes and tools designers use to solve user-facing design and architecture challenges.
To clarify what product managers do, walk through the nitty-gritty of managing software development, and equip executives with the best practices for evaluating and improving their products.
To prepare managers to identify, recruit, and nurture the technical talent they will need to succeed in today’s highly competitive labor market.
To familiarize students with the dynamic context in which technology products live, ensuring the profitable and widespread delivery of those products.
This 16-week course during the first term of the DPT curriculum is the first of a 2-part series. This is a comprehensive lecture/laboratory course in the first semester of the DPT curriculum, which establishes foundational knowledge of normal human movement and an introduction to aberrant human movement. Fundamental biomechanical and kinesiological principles, including kinematics and kinetics, of human movement are integrated with knowledge of anatomical structures under normal and pathological conditions. Each joint complex of the human body is scrutinized and integrated with a regional interdependence approach to human movement.
This course begins with an introduction to the biomechanical properties of connective tissue and muscle mechanics, followed by a discussion of the integral principles of biomechanics (i.e., gravity, friction, leverage, composition, and resolution of internal and external forces in producing movement). These topics are integrated throughout the kinesiology analyses of the human body, organized by anatomical region. Specific attention will be given to the relationship between anatomical structure and kinesiological function, joint classification, osteokinematics, arthrokinematics, muscle and ligament function, kinematic chains, and alignment. There is an emphasis on kinematics and muscle function in normal functional movements, while pathological movement is introduced. The laboratory component highlights surface anatomy palpation with emphasis on structure identification, positioning, body mechanics and hand placement. Additionally, the laboratory component will emphasize the identification of osteokinematics, arthrokinematics, and muscle actions during simple and multiple-joint movement assessments. Both lecture and laboratory incorporate observation and analysis of normal movement of the limbs and trunk, utilizing patient-specific case studies and selected examples. Optional open lab and lecture review sessions are small group review sessions and/or case discussions, organized by 3rd year DPT teaching practicum students. First year DPT students, who wish to attend, may utilize this time to review their lab/lecture material with their peers and 3rd year DPT students, while asking questions pertaining to the course material.
Though psychedelic plants and compounds have been used in a wide-spectrum of healing practices throughout human history, they have quickly been gaining recognition and acceptance in conventional western healthcare in recent years, along with a growing interest in underground, international, and ceremonial plant medicine work. This course is designed to provide foundational knowledge of contemporary psychedelic healing and integration practices, as is relevant to medical management of patients seeking psychedelic treatment, in order to prepare students for prescription of legal medications into their practices.
This one-semester course introduces basic applied descriptive and inferential statistics. The first part of the course includes elementary probability theory, an introduction to statistical distributions, principles of estimation and hypothesis testing, methods for comparison of discrete and continuous data including chi-squared test of independence, t-test, analysis of variance (ANOVA), and their non-parametric equivalents. The second part of the course focuses on linear models (regression) theory and their practical implementation.
The purpose of this course is to provide a comprehensive and in-depth background in acute and critical care pharmacotherapy. This course will address the pharmacology and appropriate clinical use of agents used in the treatment of selected acute disorders found in acutely/critically ill patients. Recent advances in pharmacotherapy, personalized management strategies, and controversial issues will be included and emphasized.
MFA acting students will tackle verse drama and heightened language. We will spend much of our time investigating Shakespeare’s writing, with a focus on King Lear and Much Ado about Nothing, and will weave in contemporary heightened language texts throughout the semester.
Goals
To develop students into keen interpreters of heightened theatrical language, both classical and contemporary
To enable students to express their instinctive emotional responses to the rhythms, sounds and the mysteries contained in great language texts
To bring character and the specific imaginative world of each play alive thru the language
To foster each actor’s unique voice
Sports analytics refers to the use of data and quantitative methods to measure performance and make decisions to gain advantage in the competitive sports arena. This course builds on the Business Analytics core course and is designed to help students to develop and apply analytical skills that are useful in business, using sports as the application area. These skills include critical thinking, mathematical modeling, statistical analysis, predictive analytics, game theory, optimization and simulation. These skills will be applied to sports in this course, but are equally useful in many areas of business.There will be three main topics in the course: (1) measuring and predicting player and team performance, (2) decision-making and strategy in sports, and (3) fantasy sports and sports betting. Typical questions addressed in sports analytics include: How to rank players or teams? How to predict future performance of players or teams? How much is a player on a team worth? How likely are extreme performances, i.e., streaks? Are there hot-hands in sports performances? Which decision is more likely to lead to a win (e.g., attempt a stolen base or not in baseball, punt or go for it on fourth down in football, dump and chase or not in hockey, pull the goalie or not in hockey)? How to form lineups in daily fantasy sports? How to manage money in sports betting? How to analyze various ``prop'' bets?The main sports discussed in the course will be baseball, football, basketball, hockey, and golf. Soccer, tennis, and other sports will be briefly discussed.
Students are welcome to pursue any sport in more detail (e.g., cricket, rugby, auto racing, horse racing, Australian rules football, skiiing, track and field, or even card games such as blackjack, poker, etc.) in a project. Class sessions will involve a mixture of current events, lecture, discussion, and hands-on analysis with computers in class. Each session will typically address a question from a sport using an important analytical idea (e.g., mean reversion) together with a mathematical technique (e.g., regression). Because of the "laboratory" nature of part of the sessions, students should bring their laptops to each class.
Healthcare represents 18% of the U.S. economy, yet it is one of the last sectors to undergo technology-based transformation. Digital health represents the convergence of healthcare and technology, with the aim to improve access to care, reduce inefficiencies in healthcare delivery, lower costs, enhance the quality of patient care, make treatments more targeted and personalized, and empower consumers to better manage their own health and well-being.
In recent years there has been an explosion of new digital health startups focused on these key objectives. Digital health has become the bellwether of venture funding, outgrowing both traditional healthcare and technology sectors. Venture funding in this category exceeded $29 billion in 2021, double the previous year and a 2,325% increase from 2011.
This course will analyze the unique characteristics and strategies of digital health companies as students form groups to act as venture capitalists and develop investment memos for real companies that are pitched by their founders. Past companies that have been pitched in this course— Maven Clinic, Grand Rounds (Included Health), and Simple Health— have gone on to become high-growth, billion-dollar companies.
Students will analyze key objectives of new businesses and determinants of success including unit economics, product differentiation, go-to market strategies, customer acquisition, marketing tactics, scale-up/growth opportunities, and other business optimization approaches. The course will allow students to hone their investment skills including questions to ask during an entrepreneur’s pitch, developing an investment thesis, and how to structure and write an investment memo. This course will address these issues through a mixture of lectures, case studies, and guest speakers (entrepreneurs and investors) from the digital health sector.
We don’t think about databases much, right? At least not when they’re working right. But they’re all around us. They’re in every product we use. And when they don’t work (think about the iCloud, LinkedIn, or Ashley Madison data breaches in which hundreds of millions of emails and passwords were exposed) the consequences can be extreme.
Every modern company stores their data in a database (it’s like a really big version of Excel), and if you want to analyze the data, you may be expected to know how to access it yourself. In fact, at many companies are requiring even their business leaders to have an understanding of databases. At the very least, knowing how to set up and interact with databases will improve your ability to GSD (get stuff done), strengthen your understanding of how technology works, and make you less of a pain for developers to work with.
In this class, we’ll explore basic SQL (the most common database language) for business analytics. At the end of the course, students should have a deeper understanding of how databases work, how they fit into the general technology stack, how to connect to databases, and know how to browse and exporting data from databases.
We don’t think about databases much, right? At least not when they’re working right. But they’re all around us. They’re in every product we use. And when they don’t work (think about the iCloud, LinkedIn, or Ashley Madison data breaches in which hundreds of millions of emails and passwords were exposed) the consequences can be extreme.
Every modern company stores their data in a database (it’s like a really big version of Excel), and if you want to analyze the data, you may be expected to know how to access it yourself. In fact, at many companies are requiring even their business leaders to have an understanding of databases. At the very least, knowing how to set up and interact with databases will improve your ability to GSD (get stuff done), strengthen your understanding of how technology works, and make you less of a pain for developers to work with.
In this class, we’ll explore basic SQL (the most common database language) for business analytics. At the end of the course, students should have a deeper understanding of how databases work, how they fit into the general technology stack, how to connect to databases, and know how to browse and exporting data from databases.
Clinical trials are the pilars of clinical research. The main objective of this course is to prepare researchers to design and conduct complex clinical trials that yield valid and reliable results. The course emphasizes on several methodological and practical issues related to the design and analysis of clinical experiments. The course builds on the knowledge and skills gained in the course Randomized Clinical Trial (P8140). The objective of this course is to provide students with working knowledge of certain methodological issues that arise in designing a Clinical Trial. Topics include: Design of small studies (Phase I and II studies), Interim analyses and group sequential methods, Design of survival studies, Multiple outcome measures, Equivalency Trials, Multi-center studies, and trials with multiple outcome measures.
This course is designed to enhance the clinical reasoning and decision-making skills of Family Nurse Practitioner (FNP) students through case-based learning, evidence-based practice application, and faculty-guided small group discussions. Students will engage in peer collaboration, critical thinking exercises, and case presentations to refine their approach to patient evaluation, diagnosis, and management. Students will develop effective documentation and interprofessional communication skills.
The clinical practicum builds upon knowledge obtained in Diagnosis and Management II. This practicum is designed to expand the role of the nurse practitioner student to provide primary care to complex patients, families and communities, in an outpatient setting across the lifespan. The goal of the practicum is to prepare the students for the delivery of comprehensive primary care. The practicum focuses on chronic physical and mental illness causing various complications.
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation. - Week 1 - Introduction to R - RMarkdown - Week 2 - Data Manipulation with dplyr - Creating Visualizations - Week 3 - Reading Data - Iterate Over Lists with purrr - Reshaping Data - Week 4 - Linear Models - Generalized Linear Models - Assessing Model Quality - Week 5 - Cross-Validation - Penalized Regression - Boosted Trees - Week 6 - Shiny Basics - Shiny Dashboard
DROMB8145
This course provides students the opportunity to learn business analytics and data science by working on a set of company sponsored applied projects. Students teams of 5-6 people, with 3-4 MBA students and 1-2 engineering (SEAs) students, will work hand in hand with the instructors and company representatives to achieve company goals through the practical application of data analytics.
It is highly recommended that before taking this class, students take the basic python qualification exam (see gsb.columbia.edu/courses/python). It is also highly recommended that students take DROMB8101, Business Analytics II, as a co-requisite.
Prerequisites listed below.
A good grasp of the fundamentals of Population Genetics is crucial for an understanding of any field of human genetics. This is precisely the aim of this course: to provide to students the key elements of Population Genetics with a view to equip them with the right tools to understand the field of genetics in general and to pursue further studies in human genetics. The course uses various evolutionary principles to explain key population genetics concepts.
From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. This course is an introduction to business uses of Python for MBA students. In this course, well be learning how to write Python code that automates tedious tasks, parses and analyzes large data sets, interact with APIs, and scrapes websites. This might be one of the most useful classes you ever take. Required Course Material Students must have a laptop that they can bring to class - Mac or PC is fine, as long as your operating system is up to date (at least Windows 10 and Mac OS 11). This course does not require a textbook. (Optional Reading: Python for MBAs, Griffel and Guetta) Any required readings will be provided via Canvas. Slides and files will be uploaded to Canvas after each class.
Students will need to complete an introductory Python class (https://courseworks2.columbia.edu/courses/152704) and pass the Basic Python Qualification exam (https://www8.gsb.columbia.edu/courses/python#basic_qual) before the first day of classes.
The course will introduce students to statistical models and mthods for longitudinal data, i.e., repeatedly measured data over time or under different conditions. The topics will include design and sample size calculation, Hotelling's T^2, multivariate analysis of variance, multivariate linear regression (Generalized linear models), models for correlation, unbalanced repeated measurements, Mixed effects models, EM algorithm, methods for non-normally distributed data, Generalized estimating equations, Generalized linear mixed models, and Missing data.
N/A
In this course, you will learn to design and build relational databases in MySQL and to write and optimize queries using the SQL programming language. Application of skills learned in this course will be geared toward research and data science settings in the healthcare field; however, these skills are transferable to many industries and application areas. You will begin the course examining the pitfalls of using Excel spreadsheets as a data storage tool and then learn how to build properly-designed relational databases to eliminate the issues related to spreadsheets and maintain data integrity when storing and modifying data. You will then learn two aspects of the SQL programming language: 1) the data manipulation language (DML), which allows you to retrieve data from and populate data into database tables (e.g., SELECT, INSERT INTO, DELETE, UPDATE, etc.), and 2) the data definition language (DDL), which allows you to create and modify tables in a database (e.g., CREATE, ALTER, DROP, etc.). You will additionally learn how to optimize SQL queries for best performance, use advanced SQL functions, and utilize SQL within common statistical software programs: R and SAS.
Concern about the retreat of democracy, democratic recession and/or democratic backsliding are proliferating in the political theoretical and comparative politics literature. While domestic and external threats to democracy and reverse waves are not new, there is widespread agreement that today even long-consolidated, wealthy democracies are now at risk and that new dynamics of de-democratization are at play. This course will involve an in-depth study of the political theory and comparative politics literature on the relevant concepts and dynamics: transition, democratization, de-democratization, democratic backsliding, hybridization, “post-democracy” and the assumptions undergirding them. We will discuss the various concepts of democracy and regime used or presupposed in the relevant literature and assess how these have evolved. The purpose of the first part of the course is to rethink the basic concepts and theories regarding democracy breakdown, transitions to democracy, democratic consolidation, backsliding and hybridization of democratic regimes and to clarify the conceptual and political issues regarding thresholds, cycles, and the like. The last third of the course will focus on cycles of democratization, de-democratization and re-democratization in the case of the U.S.: the oldest representative constitutional democracy and the one most typically taken as the exemplar of a consolidated democratic regime.
This is the second of three Diagnosis and Management courses designed to educate students on the assessment, diagnosis, treatment and evaluation of common acute and critical illnesses via a systems-based approach. Pathophysiologic alterations, assessment, diagnostic findings, and multimodal management will be discussed. The course will examine social determinants of health and health disparities that may impact patients and family outcomes. Focus will be on the differential diagnosis and comprehensive healthcare management of commonly encountered acute and chronic physical illnesses using didactic lectures, case studies and simulation.
This course equips mid-career professionals with actionable frameworks, tools, and insights to lead organizational change, drive performance, and manage complex challenges in the public and nonprofit sectors. Across 12 highly interactive sessions, students examine case-based scenarios that explore how managers conceive and implement value-driven strategies, navigate organizational dynamics, and deliver measurable results.
Key themes include strategic planning, performance management, people development, operational platforms, and using power and persuasion to implement change. Through analysis of real-world cases, structured reflection, and applied learning, students will strengthen their ability to frame policy decisions, mobilize resources, and lead through uncertainty.
This course builds leadership capacity for professionals seeking to lift performance, transform services, and create public value. Students will leave with a set of durable management tools and lessons applicable across roles, organizations, and stages of their careers.
General aspects of normal human growth and development from viewpoints of physical growth, cellular growth and maturation, and adjustments made at birth; the impact of altered nutrition on these processes. Prenatal and postnatal malnutrition, the role of hormones in growth; relationships between nutrition and disease in such areas as anemia, obesity, infection, and carbohydrate absorption.
Data is most useful when it can tell a story. Health analytics merges technologies and skills used to deliver business, clinical and programmatic insights into the complex components that drive medical outcomes, costs and oversight. By focusing on business intelligence and developing tools to evaluate clinical procedures, devices, and programs, organizations can use comparative and outcomes data to strengthen financial performance. This information can improve the way healthcare is evaluatedand delivered for better outcomes across the spectrum of health industries.
In this course, students will learn SAS as a tool to manipulate and analyze healthcare data and begin to understand what clinical and public health interventions work best for improving health, for example. Students will learn how to organize and analyze data to inform the practices of healthcare providers and policymakers to make evidence-based resource allocation decisions.Comparative & Effectiveness Outcomes Research (CEOR) certificate students will take this course inpreparation for the capstone class.SAS basics (e.g., creating SAS datasets and new variables, sorting, merging, reporting) and advanced statistics (e.g., using a logistical regression to create propensity scores for matched cohort analyses) will be covered.
Fall: Review of current literature providing complementary information pertinent to other nutrition areas, with a view to developing a critical approach to the assimilation of scientific information. Spring: Obesity: Etiology, Prevention, and Treatment. Controversies involving regulation of weight and energy balance. Interaction between genetics and the environment are considered as well as clinical implications of our current knowledge.
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Applications of behavioral insights are expanding rapidly across civic, medical, social, corporate, educational, and economic professions. This class covers the underlying theories for behavioral insights, using scientific and real-world examples of applications from multiple disciplines and locations. The course will also cover methods for behavioral implementation and evaluation, focusing particularly on healthcare policy perspectives. Students will learn a broad range of strategies through a highly interactive format, taught partially in a classroom setting in addition to remote asynchronous and synchronous sessions. Students will gain experience designing and developing their own evidence- based behavioral interventions as a part of a semester-long project.
The course is taught in three phases. The first phase will introduce fundamentals of behavioral science and evidence-based policy. Students will then spend the majority of the course on examples of behavioral insights such as nudges in practice, in a healthcare context and beyond. The course will end with sessions on practical applications, where students will learn to identify appropriate situations for behavioral interventions and produce a final project in a chosen context.
This is the third required course in the advanced practice sequence. Focuses on exploration of the knowledge bases and research issues for the understanding and supply of (1) the transactions between people and their environment and (2) related practice.
Aspects of carbohydrate, lipid, protein, and energy metabolism relevant to the understanding of nutrition at cellular and organism levels. Biochemical and physiological aspects of vitamin and mineral metabolismand action during both normal conditions and deficiency toxicity states.
This semester’s colloquium focuses on new (and not-so-new) literature on the eighteenth century in Russia, Ukraine, the Baltic and Black Sea regions, and Siberia. Problems that have attracted a growing international community of scholars include: economic development and corresponding intellectual currents such as mercantilism or physiocratism; language and translation, both in a literal sense and in terms of political concepts; natural resources and environmental issues; agricultural and industrial labor and peasant mobility; relations of church and state, sacred and secular, from the
Spiritual Regulation
to Catherine II’s secularization of church property; the court society and diplomatic representation, ceremony, and ritual; scientific expeditions and exploration of Siberia; the Seven Years’ War. Such questions transcend an older focus on the two “great” rulers and their reforms.
This course covers a subject that is crucial for management success in the future: how government policy and regulation affect the online-based industry and its users, and how the industry in turn can affect government action. The skills needed to navigate this interaction are critical for managers in the emerging digital economy, as well as to forward-looking policy making. This course takes an innovative approach, bringing together several strands of the MBA program, together with public policy and technology management, and applies them to the online media and information sector. It aims to give students the MBA tools to run or use digital and online businesses in an environment full of government initiatives and restrictions. The course is valuable for future entrepreneurs, investors, creators, marketers, advertisers, users, and public officials.
This is the first in a series of 4 courses designed to educate students about the multiple dimensions of professional practice in contemporary physical therapy. These courses will explore the professional roles of the physical therapist as a clinician, educator, and advocate. This will be the first in a series of courses that will address trans-curricular themes including leadership, service, health promotion, advocacy, teaching & learning, interprofessional collaboration and teamwork, cultural humility, and self-reflection, culminating in the creation of a digital portfolio. The course series will include broad exposure to a variety of professional and personal development experiences and expect more in-depth engagement in the student’s chosen area of focus.
This first course in the professional leadership and practice series will explore the process of professional identity formation, including exploration of attitudes and biases, personality, self-awareness, emotional intelligence, authentic leadership, health & well-being practices, and inclusive excellence. The course will also explore structural and racial barriers to health and healthcare. Students will broaden their understanding of physical therapy practice, structure, and governance of the American Physical Therapy Association (APTA), the APTA vision and core values, and legislative action at the national, state, and local levels. Students will be introduced to the core competencies for interprofessional education and collaborative practice. Students will have the opportunity to reflect on personal strengths and goals and develop a personal development and professional leadership plan. An overview of the Digital Professional Portfolio project will be included.
This course builds on the core Global Economic Environment curriculum to equip students with toolkits for applying open-economy macro frameworks to the analysis of the fundamental forces shaping economic turning points and the development of public-market trading strategies around them.
Key concepts in global macro investing are delivered through a mix of interactive lectures, case-study discussions, and directed conversations with practitioners. The course is structured in three sections: (1) a review and extension of core macroeconomic principles, an annotated discussion of key macroeconomic indicators, a structured look at the principal features of major risk assets (i.e., equities, currencies, fixed income, and commodities), and the development of templates for global macro trading strategies and risk management; (2) case studies around recent, disruptive major global macro inflection points; and (3) the application of the course’s key learning objectives to the development of broad global macro trading strategies around prevailing macroeconomic conditions, special cases, and instances of asset mispricing.
This course will provide introductory knowledge and skills for students wishing to pursue activities in markets-focused macroeconomic research and strategy, global tactical asset allocation, the application of macroeconomic overlays on a wide range of investment platforms, strategic planning, and policy development.
Microeconomics and Policy Analysis
introduces mid-career professionals to the core analytical tools of microeconomics and their application to real-world policy and management decisions. The course emphasizes how individuals, firms, and governments make decisions under constraints, and how markets function and sometimes fail. Topics include supply and demand, consumer and producer behavior, market structure, welfare analysis, externalities, public goods, and government interventions.
Students will develop a working understanding of microeconomic principles and apply them to evaluate policies and regulations. The course combines lectures, recitations, and problem sets to build both conceptual understanding and practical problem-solving skills. No prior background in economics is required, though comfort with basic mathematics and algebra is expected.
Designed specifically for Executive MPA students, the course prepares professionals to critically analyze economic arguments, collaborate across diverse teams, and make informed, data-driven decisions in public service contexts.
The objective of Microeconomics and Policy Analysis I is to ensure that students can use an economic framework to analyze policy choices, including those related to the environment. Students will be expected to understand, apply, and critique microeconomic models that inform economic and environmental policy. By the end of the semester, students will be expected to use economic concepts fluently to advocate various public policy positions.
We will begin with the big picture: how did economics evolve, what a capitalist economy is, and how do we think about it? We will then focus on tools for understanding core institutions such as markets, individual workers and consumers, and firms. We describe simple supply-demand relationships and apply these to economic problems. We introduce the concepts of opportunity cost and choice, which are fundamental to an economic framework for public policy. We then examine basic tools used by economists. We examine in detail the underlying theory of consumers and producers necessary to derive supply and demand relationships. This detailed analysis facilitates an intelligent application and critique of these basic economic tools.
We will incorporate environmental examples throughout the class, but this is not a class on environmental economics. It will introduce you to microeconomics more generally, and give you a view of the economy interacting with lots of other political, social, and environmental factors.
From 1970 until today, America’s prison and jail population has increased sevenfold, from some 300,000 to around 2.2 million adults and children behind bars. Accounting for less than 5 percent of the world’s inhabitants, but about 25 percent of the world’s incarcerated inhabitants, the United States is the most incarcerating society in human history. The U.S. federal and state governments imprison more people and at higher rates than do any other governments on the planet, and they do so today more than they did at any other period in American history.
This astounding amount of human confinement (commonly called “mass incarceration”) disproportionately impacts the polity’s poorest communities of color—especially young Black males—which suffer from chronic conditions and infectious disease; face higher mortality rates; and experience, because of criminal records, less opportunity to secure gainful employment, stable housing, access to safety net programs, and education. Female incarceration over the past few decades has grown at twice the rate of male incarceration, and black women, specifically, are twice as likely as white women to serve time. Imprisonment exposes people to a wide range of circumstances proving detrimental to long-term physical and mental health, like inadequate sanitation, poor ventilation, and solitary confinement. And most formerly incarcerated people return to their communities with deep wounds and new traumas resulting from incarcerated life and from isolation through long separations from families and social supports.
This course sits at the intersection of public health, policy, and law. The course will explore the full spectrum of causes and costs of mass incarceration as a public health crisis. This course will examine how exposures to different structures of the American criminal punishment apparatus (e.g., law enforcement, jail, prison, or detention centers, community supervision) shape the health of people, families, and society. Observing mass incarceration as an epidemic, this course will adopt a useful public-health model of prevention to contemplate a concerted approach consisting of primary, secondary, and tertiary strategies for unwinding mass human imprisonment while advancing enhanced public health for the nation’s most disempowered members. This course will pay special attention to acutely at-risk populations, including detained youth and youth of incarcerated adults, pregnant incarcerated people, and the elderly. And the role that
The Course introduces students to the fundamentals of case competitions and prepares them to compete in select case competitions over the course of the year. Case competitions afford students the opportunity to apply classroom learning to dynamic health care organizational and industry problems. The Course covers topics ranging from the framework for breaking down cases to common analytical techniques and presentation skills. We will build the foundational skills for students to prepare and deliver comprehensive, professional analyses in competitive settings.
This course examines the underlying economics of successful business strategy: the strategic imperatives of competitive markets, the sources and dynamics of competitive advantage, managing competitive interactions, and the organizational implementation of business strategy.
The course combines case discussion and analysis (approximately two thirds) with lectures (one third). The emphasis is on the ability to apply a small number of principles effectively and creatively, not the mastery of detailed aspects of the theory. The course offers excellent background for all consultants, managers and corporate finance generalists.
This course will introduce the theory and frameworks that ground advocacy and community organizing with the aim of enabling such practices within public health and beyond. Students will deepen their understanding of the strategies behind effective advocacy, capacity building, and organizing, both in the field and within institutions. In learning history, power structures, power relations, and pre-existing models, students will learn not only about changemaking but how to affect systemic change themselves. They will learn frameworks to understand social problems and alter power relations including theory of change, relational power building, and power mapping. By examining epidemics, social movements, community health, institutional failures, and public policy, this course will provide students the ability to understand the “why” and the “how” of becoming an advocate and organizer.
This 14-week course, during the third year of the DPT curriculum, is the final in a series of 4 courses designed to educate students about the multiple dimensions of professional practice in contemporary physical therapy. These courses will explore the professional roles of the PT as a clinician, educator and advocate and address trans-curricular themes including leadership, service, health promotion, advocacy and health policy, teaching & learning, interprofessional teamwork, management of the practice, and self-reflection, culminating in the creation of a digital portfolio. The course series includes broad exposure to a variety of professional and personal development experiences.
PLP IV will cover three intersecting content areas of the practicing clinician: Business Management, Health Care Policy, and Professional Practice. This course will also include the finalization and completion of the e-portfolio started in PLP I.
Business Management
This course applies basic business, management and marketing concepts and principles to the practice of physical therapy across all settings. The course is designed to review and apply the framework of the US healthcare system within the confines of its capitalistic economy; ultimately driving the models within which patient care is provided in physical therapy. This content area is divided into four areas: 1) General Business Concepts & Organizational Capacity, 2) Entrepreneurial and Administrative Aspects of Health Care Delivery, 3) Branding & Marketing Communications, & 4) Economically Viable Plans for Sustainability of the Practice
Health Care Policy
An understanding of United States health care policy is necessary for physical therapists to participate effectively in the system. Health Care Policy introduces students to aspects of the United States health care system with an awareness of the needs and interests of the various stakeholders, including physical therapists. The content area examines both the pros and cons of select health care policies and encourages a discussion of the reasons and potential solutions for current issues in health policy and health care. The course explains the:
Historical development and current organization of the United States health care system, including the influencing social philosophies and public policies of the different time periods
Financing for and oversight of health care within the US system
Current issues in health policy an
This course inaugurates a new seminar series that moves across the pre- and post-1945 divide to address cultural forms that navigate intersections among gender, sexuality, mind, body, self, race, empire, technology, militarism (among other concerns). Working across disciplines, the present seminar will focus on the institutionalization of care as central to the idea of the modern and the empirical project of modernization. We begin with an overview on science and technology followed by an engagement with clinical psychiatry, women’s health, and literary representations that connect incarceration to broader rehabilitative praxis. Building off of the discussion of the colonial medical complex, the seminar will conclude with a consideration of the relations between the colonial modern and postcolonial developmentalism.
Who gets what and why? Policy makers and stakeholders in the healthcare space must make difficult decisions involving trade-offs that are often controversial. By exploring a series of ethical frameworks and contentious healthy policy issues, students will learn to apply a systematic process of ethical analysis to justify policies in a legitimate way. Through a dynamic teaching approach involving case studies, role playing and active discussion, we will explore how acceptability and feasibility of controversial policies can be enhanced to promote health equity using tools from distributive justice, procedural justice and bioethics. Topics of discussion include migrant health/migration policy, rationing at the VA, using algorithmic fairness in policy design and nudging in the safety-net.
POLS GR8228 is designed as a graduate-level introduction to the study of political communication. As an introduction to the field, it is structured to cover a wide range of topics and methodological approaches. No single course can provide comprehensive coverage of a fascinating subfield with as long and diverse a history as political communication. As such, this seminar will focus on relatively recent work. Students will leave this course with a strong grasp of major theories, trends, methods, findings and debates in this area of study, as well as the gaps in our knowledge and promising directions for future research.
We are currently living in a climate of apathy, collective outrage, growing distrust in public institutions, and an onslaught of dangerous dis- and misinformation, especially about science. For those of us in public health these are challenging times. How can we write about pressing issues—race, disease, poverty, women’s rights, depression, homeless—and reach an audience that is contentious or refuses to listen? How can get these same people to care? In this class, we delve into the art of storytelling through reading human centered non-fiction and essays that focus on/speak to different public health issues. We will look closely at each genre, reading with an eye toward examining its goal, the narrative structure, main character, and issue at hand. Taking what we’ve learned we will apply these techniques to our own writing, developing the storytelling skills necessary to effectively communicate and “win over” the general public, and hopefully inspire and persuade readers to listen and act.
Popular media routinely tout imminent breakthroughs that often fizzle. In this course, we examine advances that indisputably changed medical practice in the last quarter of the 20th century through case histories. The case histories suggest that protracted,
multiplayer
innovations – not solitary breakthroughs – produce transformational results. Yet venturesome individuals who do not follow the crowd remain crucial. Engaging stories make the vast number of facts presented in the case histories memorable. But the course treats learning new facts mainly as a valuable byproduct. Rather, we rely on the case histories in two more subtle ways, namely: (1) developing skills and judgment and (2) sharpening goals and aspirations.
Individual projects in composition.
Financial Empowerment Lab NYC is a new “experiential” course at Columbia University for business and law students, being developed by Stephen Zeldes and Ed Morrison that will launch in Spring 2025 (running mid-January through late April). The course will focus on financial health and empowerment in underserved
NYC communities, including Harlem and Washington Heights. Teams of 3-4 students each will partner with local non-profits and Community Development Financial Institutions (CDFIs) on a semester-long project that will culminate in a pre-specified deliverable. In the process, students will be exposed to clients of the organization, develop a better understanding of the financial and legal challenges facing underserved populations, and work on a project that will help the organization better fulfill its mission. This course emphasizes practical learning, innovative problem-solving, and strategic collaboration, enabling students to apply their skills in a meaningful context that contributes to economic justice and positive social change.
By studying healthcare innovations within the context of health reform, students can learn how novel approaches can be integrated into reform strategies to overcome systemic inefficiencies, enhance equity in healthcare delivery, and ultimately contribute to the goal of improving health systems. This approach encourages students to think creatively and practically about transforming healthcare systems to deliver improved outcomes and better serve the needs of populations, particularly in low and middle-income countries. The course is structured around the analytical framework of five policy levers of financing, payment, organization, regulation, and persuasion, as critical determinants of health system performance developed by Roberts, Hsiao, Berman & Reich.
This is the third of four didactic courses that discuss the various methods and techniques of anesthesia administration with an emphasis on the physiological basis for practice. Alterations in homeostatic mechanisms and advanced anesthetic management throughout the perioperative continuum of obstetric and pediatric care, and patients undergoing cardiac surgery are emphasized. Cultural humility will be incorporated into care plans to develop anesthetic management individualized to patient identities and cultures while including an emphasis on social and cultural health disparities.
This class is intended for students to develop composing skills for creating music “between the keys” (or “outside the keys”) of a traditionally tuned piano or organ. We will be analyzing relevant works and techniques of the present and of the past. Students compose and perform/present their own music influenced by these works and techniques. We will start with “just intonation” and with music independent from Western traditions. Students are free to enroll for “Music beyond 12 tone temperament II” before “Music beyond 12 tone temperament I”. Knowledge of the harmonic row’s intonation, at least until the 17th partial, is mandatory.
Macroeconomics is in the news every day. Anyone who pays attention to the news knows that the crash in the US housing market in 2008 caused dramatic perturbations to financial markets all around the world. This, in turn, triggered very strong responses by governments in the US (in particular the Federal Reserve and the Treasury), as well as in other countries. This meltdown in financial markets and the interventions from policymakers raise a number of key questions about the health and the future of the economy in the US and abroad, which we will address in the Global Economic Environment II course.This course is a sequel to the core course Global Economic Environment. Building on the fundamentals introduced in that course, we develop a conceptual framework to explain the complex interactions between macroeconomic policy, asset prices, and business cycle fluctuations. In particular, we examine macroeconomic forecasting, determinants, and implications of budget deficits, the conduct and implementation of monetary policy, and the determinants of inflation in the U.S. and other market economies around the world. Special attention is given to the interactions between macroeconomic forces and asset prices.Since an important goal of this course is for students to become informed and sophisticated consumers of economic news, the issues discussed in this course draw heavily from current events and real-world examples.
Note I: The core course GEE while recommended is not a pre-requisite for taking GEEII. Students who expect to exempt from the core course GEE are recommended to take GEEII instead.
Benjamin Franklin once reportedly said that “nothing can be said to be certain, except death and taxes.” Had he known about the future estate tax, he would have been able to eloquently tie these certainties together. The estate tax is but one tax we will cover in this course. Taxes play an integral role not only in our personal lives, but also in driving the determinants and consequences of nearly every business decision. This course provides a conceptual framework to understand how taxes affect optimal business decisions. Additionally, this course will provide guidance on how to determine when and whether such strategies should be utilized. Regardless of what direction your business career takes you, understanding these forces and the strategies available will prove to be a valuable asset. Using examples from a wide range of contexts including investments, capital structuring, compensation planning, and mergers and acquisitions, students will become familiar with the structure of tax law, learn to recognize tax planning opportunities, gain an understanding of how to balance tax efficiency with business needs, and gain experience using a knowledge of how tax works to appropriately improve business outcomes.
After briefly reviewing the historic basis for the function of congressional oversight, the course
will review and discuss the sources and applications of congressional powers and tools for
oversight; constitutional, statutory, rule and other limits to the power of Congress to conduct
oversight; the rights and duties of those subject to congressional oversight; parallel proceedings
when oversight occurs with criminal or federal agency investigations; and study special oversight
functions, such as impeachment and special commissions. Classes will involve reviewing actual
congressional oversight investigations and hearings (e.g., Teapot Dome, House Unamerican
Affairs Committee, Watergate, Clinton Impeachment, Trump Impeachments, 9/11 Commission)
and the legal, strategic and ethical issues raised in those proceedings. When appropriate, there
will be a guest or two (e.g. Member of Congress, subject of an oversight inquiry).
Cross-border trade, tariffs, migration, and industrial policy affect the profitability of firms and purchasing power of households. News about them affect exchange rates and other asset prices.
This course develops a series of conceptual frameworks to help the students better understand the complex effects of trade, industrial, and immigration policies on business, employment, investment, and the economy. We examine the rationales behind various policy ideas and analyze the practical implementations of such policies in both advanced economies and developing countries.
An important feature of the course is a discussion of contemporary news and real-world events at the beginning of each session. We will show how our understanding of the news can be enhanced by our frameworks. By the end of this course, the students will become better informed and more sophisticated consumers of business and economic news, with tools to translate them into possible business or investment actions.