This course offers a comparative exploration of women music practitioners from cross-cultural perspectives, examining their music, oral histories, and lived experiences as well as the impact of these experiences on their music-making in a global context. By tracing the journeys and analyzing the music of specific selected women musicians from various regions, the course investigates their participation in art music, traditional music, popular music, and sacred music from women’s perspectives. Engaging primarily with their music and interviews, the course particularly examines the comparative roles of women as active creators, performers, sponsors, and consumers of music, highlighting how their lived experiences shape their musical contributions. Students will be introduced to critical concepts for analyzing representations of gender, class, ethnicity, nationalism, race, and globalization in music while exploring these women’s sounds, identities, and performances.
This upper-level undergraduate comparative politics course applies the basic concepts of comparative political science to the political system of Ukraine. The course provides an in-depth examination of the political system, institutions, and social dynamics of Ukraine. Students will explore the historical, cultural, and geopolitical factors shaping Ukrainian politics, as well as key issues such as democratization, corruption, foreign policy, and the ongoing full-scale invasion of Ukraine. The course will also analyze the role of Ukraine in the broader context of European politics and its relationship with Russia. The assigned readings cover theories of voting, the party system development, political protests, transitions to democracy, the choice of political institutions, among other topics. Some of these topics are familiar from the Introduction to Comparative Politics course and other political science courses. In this class, students reexamine these theories in the specific context of Ukrainian politics. They also examine historical development of contemporary Ukrainian institutions and their effects on current policy decisions.
The main goal of this course is to help students develop theoretical tools for understanding political events and challenges of Ukraine. While this course covers some recent history of Ukraine, it also uses Ukraine as an example of the broader, more general issues that come along with democratization reforms. To accomplish this goal, the course draws on readings from comparative political science, economics, and sociology to introduce students to the major debates on economic and political reforms.
Team project centered course focused on principles of planning, creating, and growing a technology venture. Topics include: identifying and analyzing opportunities created by technology paradigm shifts, designing innovative products, protecting intellectual property, engineering innovative business models.
All supervisors will be Columbia faculty who hold a PhD. Students are responsible for identifying their own supervisor and it is at the discretion of faculty whether they accept to supervise independent research. Projects must be focused on Hellenic Studies and can be approached from any disciplinary background. Students are expected to develop their own reading list in consultation with their supervisor. In addition to completing assigned readings, the student must also write a Hellenic studies paper of 20 pages. Projects other than a research paper will be considered on a case-by-case basis. Hellenic Studies is an interdisciplinary field that revolves around two main axes: space and time. Its teaching and research are focused on the study of post-classical Greece in various fields: Language, Literature, History, Politics, Anthropology, Art, Archaeology, and in various periods: Late Antique, Medieval, Byzantine, Modern Greek etc. Therefore, the range of topics that are acceptable as a Hellenic Studies seminar paper is broad. It is upon each supervisor to discuss the specific topic with the student. The work submitted for this independent study course must be different from the work a student submits in other courses, including the Hellenic Studies Senior Research Seminar.
Understanding the properties and behavior of materials is critical to the mechanical design and subsequent function of any product or part – including wide-ranging applications from aircraft fuselage to robotic manipulators to flexures to telescope mirrors to flywheels to sports equipment to thermal insulators. This course provides a fundamental understanding of the microstructure of a range of materials (metals, polymers, ceramics, composites, hybrid) and the connection to design-determining or limiting properties including stiffness, expansion, thermal expansion, strength, energy storage and dissipation, toughness, and fatigue. Objective functions which are used to determine a “material index” for the selection of the best materials for use in a particular mechanical design are developed, underscoring the combined role of material properties and loading conditions in optimizing for materials selection. For example, take the case of determining a material index for selecting a best set of materials for a lightweight, stiff beam – how do the material density and elastic modulus together with the beam geometry and loading conditions factor in to determining the material index for materials selection? Note that the resulting material index for selecting best materials for a lightweight stiff beam (bending) is different than that for a lightweight stiff rod (tension). The material indices provide the framework for construction and use of materials selection charts to rapidly compare the effectiveness of wide-ranging materials for different applications.
This course will focus on the developments in jazz after 1965, particularly within its discursive formation as an art movement, a political position, and a cultural force. The course will not follow a chronological survey but will engage various critical issues that jazz has confronted since 1965. These questions focus on the definition and constitution of jazz; the music’s relationship to popular culture broadly, particularly with popular music genres; and the nature of contemporary jazz.
Introduction to methods in deep learning, focus on applications to biomedical signals and sequences. Review of traditional methods for analysis of signals and sequences. Temporal convolutional neural networks and recurrent neural networks. Long-short term memory (LSTM) models and deep state-space models. Theory and methods lectures accompanied with examples from biomedical signal and sequence analysis, including analysis of electroencephalogram (EEG), electrocardiogram (ECG/EKG), and genomics. Programming assignments use tensorflow/keras. Exams and final project required.
In what ways has religion been deployed as an analytical category in 20th century American history? Through a case study of how Jews and antisemitism have been conceptualized, theorized and narrated within the annals of American history, we will ponder what to American historians think about religion. What is the heuristic value of such a category? We will also research in Columbia’s archives to see how Jews and Judaism are discussed. This course will also introduce students to the theoretical innovations in the field of contemporary religion and to suggest ways that the study of religion intersects, intervenes and complicates the fields of American urban, cultural, and political history.
Introduction to statistical machine learning methods using applications in genomic data and in particular high-dimensional single-cell data. Concepts of molecular biology relevant to genomic technologies, challenges of high-dimensional genomic data analysis, bioinformatics preprocessing pipelines, dimensionality reduction, unsupervised learning, clustering, probabilistic modeling, hidden Markov models, Gibbs sampling, deep neural networks, gene regulation. Programming assignments and final project will be required.
This seminar provides an overview of the mechanisms and behaviors associated with neural plasticity. Students will obtain a basic working knowledge of the different types of neural plasticity, and how these affect cognition and behaviors.
Introduction to optical systems based on physical design and engineering principles. Fundamental geometrical and wave optics with specific emphasis on developing analytical and numerical tools used in optical engineering design. Focus on applications that employ optical systems and networks, including examples in holographic imaging, tomography, Fourier imaging, confocal microscopy, optical signal processing, fiber optic communication systems, optical interconnects and networks.
Introduction to optical systems based on physical design and engineering principles. Fundamental geometrical and wave optics with specific emphasis on developing analytical and numerical tools used in optical engineering design. Focus on applications that employ optical systems and networks, including examples in holographic imaging, tomography, Fourier imaging, confocal microscopy, optical signal processing, fiber optic communication systems, optical interconnects and networks.
How does law shape the way that people live together in society, and how do changes in society bring about changes in the law? How is law lived on the ground, and how did its subjects think about it and use it for their own purposes? In this class, we will read recent and significant scholarship in the history of the early American republic (c. 1776-1840) that explores these questions, drawing on the history of the law and legal sources.
Although this class will touch on some of the better-known arguments among scholars of legal history, its approach will be more practical than theoretical. Its primary focus will not be on the evolution of American law as a conceptual matter, or on philosophical arguments about the nature of the law. Rather, students in this class will read in order to become better researchers: to learn more about how law
worked
in the early American republic, about the institutions through which it operated, about how it changed over time, and how it formed (and was formed by) American society. This reading-intensive class is intended for graduate students and advanced undergraduate students who are interested in the history of the law, or in conducting research projects that draw extensively on legal sources. For undergraduates, previous coursework in US history is strongly recommended.
Introduction to use of magnetic resonance spectroscopy (MRS) with focus on brain. Covers all aspects of in vivo MRS from theory to experiment, from data acquisition to the derivation of metabolic signatures, from study design to clinical interpretation. Includes theoretical concepts, hands-on training in MRS data literacy and direct experimental experience using a 3T MR scanner.
This course aims to teach students what, if any, answers social scientists have to the questions that concern anyone with an interest in African politics: 1) Why have democratic governments flourished in some countries and not others? 2) What institutions may enable Africans to hold their leaders accountable? 3) How do people participate in politics? 4) In what ways do aspiring African political leaders build public support? 5) To what extent does persistent poverty on the continent have political causes? and 6) Why is violence used to resolve some political disputes and not others?
Prerequisites: basic background in neurobiology (for instance PSYC UN1010, UN2450, UN2460, UN2480, and GU4499) and the instructors permission. This course will provide an overview of the field of epigenetics, with an emphasis on epigenetic phenomena related to neurodevelopment, behavior and mental disorders. We will explore how epigenetic mechanisms can be mediators of environmental exposures and, as such, contribute to psychopathology throughout the life course. We will also discuss the implications of behavioral epigenetic research for the development of substantially novel pharmacotherapeutic approaches and preventive measures in psychiatry.
For almost two hundred years, people around the world have sought to perfect society through scientifically directed breeding. Though often described as a thing of the past, contemporary life is suffused with fears over declining birth rates and dreams of producing perfect “designer babies.”
In this class we will explore the long history of attempts to remake reproduction and regulate population across U.S. History (with some excursions into India and Germany), through a study of a range of interdisciplinary scholarship. Together, we will ask: why have panics around population emerged under specific circumstances, and who pushed them? How and why did eugenics explode into popularity at the turn of the century, and how was it adopted into and by various social movements? What, exactly, is (and was) eugenics? What is the relationship between it and earlier efforts to scientifically categorize and remake society? What role did it play in the development of twentieth-century politics? Why did states engage in campaigns of mass sterilization across the first half of the twentieth century? Why did they stop? How have different groups sought to remake reproduction since?
Introduces approaches for the functional genomic analysis of biological systems and their use to define genotype-phenotype relationships. Genetic variation, gene expression and regulation at the epigenome, chromatin organization level, and link between gene and protein expression covered. Case studies covered: study of cancer and cancer-associated processes, neuro-biology, and organismal development. The presented methods study these events at the genome, epigenome, transcriptome, and proteome levels.Approaches that increase the resolution of functional genomic assays to the level of individual cells, spatial profiling, integration with genetic and chemical screening methods, and their application to chemical genomic approaches also studied. Programming assignments and a final project required.
The practical application of chemical engineering principles for the design and economic evaluation of chemical processes and plants. Use of ASPEN Plus for complex material and energy balances of real processes. Students are expected to build on previous coursework to identify creative solutions to two design projects of increasing complexity. Each design project culminates in an oral presentation, and in the case of the second project, a written report.
Prerequisites: ECON UN3211 and ECON UN3213 The theory of international trade, comparative advantage and the factor endowments explanation of trade, analysis of the theory and practice of commercial policy, economic integration. International mobility of capital and labor; the North-South debate.
In this course we will read the works of one of the 20 th century’s most overlooked geniuses, H. G. Wells. This is the first time in Columbia’s history that a course has been dedicated to Wells, even though he is one of the great visionaries of the first half of the century, whose innovation and influence across different genres of writing was extraordinary (these genres include science fiction, which he helped to invent; the short story, of which he wrote some of the best in the modernist period; the social novel, to which he contributed several breathtaking examples; the essay-novel, a great genre for him which has never been sufficiently appreciated by literary critics; popular history, science, and economics, which he put on the map; and the essay as a political text for the activist citizen). We will read across the full range of his writings, including all the genres named above, covering nearly 50 years of writing, from his breakout novel The Time Machine (1895) to late works on the future (including film) in the 1930s and 40s. Still, we will only be scratching the surface for a writer whose full bibliography includes 6000 items. In reading Wells’s works, moreover, we will place them in conversation with his modernist peers (Henry James, Joseph Conrad, Virginia Woolf, T. S. Eliot, George Orwell) and with many critical topics on which he was passionately engaged, including evolution, empire, gender, social class, war, technology, education and the writing of history. We might think of our effort in this course as a rare opportunity to engage in depth, and with a totally fresh perspective, one of the most interesting, important, and unrecognized intellects of the century.
The course addresses selected issues in the protection of socio-economic rights in an international and comparative perspective. Socio-economic rights have emerged from the margins into the mainstream of human rights. The course will take this status as its starting point and examine the human rights to housing, food, water, health and sanitation in depth. We will explore conceptual issues through the lens of specific rights which will help us ground these principles and ideas in concrete cases. We will discuss developments on socioeconomic rights and examine their relevance in the United States as well as selected other countries, particularly those with progressive legislation, policies and jurisprudence. What is the meaning and scope of the rights to housing, food, water, health and sanitation? What is the impact of discrimination and inequalities on the enjoyment of socio-economic rights? How can governments be held accountable for the realization of human rights? What machinery is there at the international level to ensure that the rights are protected, respected and fulfilled? How can this machinery be enhanced? How can judicial, quasijudicial, administrative and political mechanisms be used at the domestic level? What is the role of different actors in the context of human rights, the role of States and individuals, but also (powerful) non-State actors and civil society? How have activists and policymakers responded to challenges? And what lies ahead for the human rights movement in addressing economic and social rights in a multilateral, globalized world?
We will take a hands-on approach to developing computer applications for Financial Engineering. Special focus will be placed on high-performance numerical applications that interact with a graphical interface. In the course of developing such applications we will learn how to create DLLs, how to integrate VBA with C/C++ programs, and how to write multithreaded programs. Examples of problems settings that we consider include simulation of stock price evolution, tracking, evaluation and optimization of a stock portfolio; optimal trade execution. In the course of developing these applications, we review topics of interest to OR:FE in a holistic fashion.
Prerequisites: the instructors permission. A progressive course in transcribing, proceeding from single lines to full scale sections and ensembles. Stylistic analysis based on new and previously published transcriptions.
In this course, we will explore the basic biochemistry of living systems and how this knowledge can be harnessed to create new medicines. We will learn how living systems convert environmental resources into energy through metabolism, and how they use this energy and these materials to build the molecules required for the diverse functions of life. We will discuss the applications of this biochemical knowledge to mechanisms of disease and to drug discovery. We will look at examples of drug discovery related to neurodegeneration, cancer, and the SARS-CoV-2 COVID19 pandemic. This course satisfies the requirement of most medical schools for introductory biochemistry, and is suitable for advanced undergraduates, and beginning graduate students. This course is equivalent to and replaces the prior course named UN3501, and is equivalent to the course offered in the summer.
In this course, we will explore the basic biochemistry of living systems and how this knowledge can be harnessed to create new medicines. We will learn how living systems convert environmental resources into energy through metabolism, and how they use this energy and these materials to build the molecules required for the diverse functions of life. We will discuss the applications of this biochemical knowledge to mechanisms of disease and to drug discovery. We will look at examples of drug discovery related to neurodegeneration, cancer, and the SARS-CoV-2 COVID19 pandemic. This course satisfies the requirement of most medical schools for introductory biochemistry, and is suitable for advanced undergraduates, and beginning graduate students. This course is equivalent to and replaces the prior course named UN3501, and is equivalent to the course offered in the summer.
Aimed at seniors and graduate students. Provides classroom experience on chemical engineering process safety as well as Safety in Chemical Engineering certification. Process safety and process control emphasized. Application of basic chemical engineering concepts to chemical reactivity hazards, industrial hygiene, risk assessment, inherently safer design, hazard operability analysis, and engineering ethics. Application of safety to full spectrum of chemical engineering operations.
Aimed at seniors and graduate students. Provides classroom experience on chemical engineering process safety as well as Safety in Chemical Engineering certification. Process safety and process control emphasized. Application of basic chemical engineering concepts to chemical reactivity hazards, industrial hygiene, risk assessment, inherently safer design, hazard operability analysis, and engineering ethics. Application of safety to full spectrum of chemical engineering operations.
MS IEOR students only. Introduction programming in Python, tools with the programmer's ecosystem. Python, Data Analysis tools in Python (NumPy, pandas, bokeh), GIT, Bash, SQL, VIM, Linux/Debia, SSH.
Introduction to theory and practice of computer user interface design, emphasizes software design of user interfaces in websites, automobiles, IoT, etc. Topics include basic interaction devices and techniques, human factors, interaction styles, dialogue design, and software infrastructure. Design and programming projects are required.
Zero-credit course. Primer on Python for analytics concepts. Required for MSBA students.
An interdisciplinary investigation into Italian culture and society in the years between Unification in 1860 and the outbreak of World War I. Drawing on novels, historical analyses, and other sources including film and political cartoons, the course examines some of the key problems and trends in the cultural and political history of the period. Lectures, discussion and required readings will be in English. Students with a knowledge of Italian are encouraged to read the primary literature in Italian.
Prerequisites: MDES W4501 or the instructors permission. Students must have a good familiarity with the Hebrew verb system, and the ability to read a text without vowels. This course focuses on central identities shaping Israeli society and is designed to give students extensive experience in reading Hebrew. Through selected readings of contemporary literary works and media texts, students will increase their proficiency in Hebrew and enhance their understanding of Israeli culture and society. All readings, written assignments, and class discussions are in Hebrew. No P/D/F or R credit is allowed for this class.
Intended to build familiarity with using Python for ingesting, analyzing, visualizing, and interpreting data. Includes data ingesting techniques, using libraries (pandas and numpy), data analytics, machine learning (using SciKit-Learn), visualization, and big data analytics (Spark).
Survey of frontier research in technological areas to address world's most important challenges. Areas include advanced materials, biotech, and sustainability and climate. Convergence of breakthrough research with entrepreneurship, industry, and policy.
IEOR students only. Understand digital businesses, apply scientific, engineering thinking to digital economy. Data-driven digital strategies and operating models. Sectors: ecommerce, advertising technology, and marketing technology. Automation of the marketing, sales, and advertising functions. Algorithms, patents, and business models. Business side of the digital ecosytem and the digital economy.
Prerequisites: CHNS W3302 or the equivalent. Admission after placement exam. Focusing on Tang and Song prose and poetry, introduces a broad variety of genres through close readings of chosen texts as well as the specific methods, skills, and tools to approach them. Strong emphasis on the grammatical and stylistic analysis of representative works. CC GS EN CE
Prerequisite(s): for senior undergraduate Engineering students: IEOR E3608, E3658, and E4307; for Engineering graduate students (M.S. or Ph.D.): Probability and statistics at the level of IEOR E4150, and deterministic models at the level of IEOR E4004; for healthcare management students: P8529 Analytical methods for health services management.
Develops modeling, analytical, and managerial skills of engineering and health care management students. Enables students to master an array of fundamental operations management tools adapted to the management of health care systems. Through real-world business cases, students learn to identify, model, and analyze operational improvements and innovations in a range of health care contexts.
Covers fundamental engineering design tools for creating and testing physical products. Includes basics of computer-aided design, circuit design and use of microcontrollers, Internet of Things, and computational modeling and simulation. Additional hands-on exposure to tools for high-fidelity physical prototyping in Makerspace. Mini-project design involving an engineering device or system incorporated tools.
An introduction to the strategies and fundamental bioengineering design criteria behind the development of cell-based tissue substitutes. Topics include biocompatibility, biological grafts, gene therapy-transfer, and bioreactors.
Prerequisites: 2nd Year Modern Hebrew II, Hebrew for Heritage Speakers II, or the instructor's permission. This course is designed to take students from the intermediate to advanced level. Students will further develop their reading, writing, speaking, and listening skills in Hebrew through an examination of a wide range of sources, including short stories, poems, visual arts, popular music, television shows and films. All readings, written assignments, and class discussions are in Hebrew. No P/D/F or R credit is allowed for this class.
Modeling of power networks, steady-state and transient behaviors, control and optimization, electricity market, and smart grid.
Teams of students work on real-world projects in analytics. Focus on three aspects of analytics: identifying client analytical requirements; assembling, cleaning and organizing data; identifying and implementing analytical techniques (e.g., statistics and/or machine learning); and delivering results in a client-friendly format. Each project has a defined goal and pre-identified data to analyze in one semester. Client facing class. Class requires 10 hours of time per week and possible client visits on Fridays.
Please see department for details.
The Fifth Year Chinese course is designed for advanced learners who have a proficient command of the Chinese language in all four aspects: listening, speaking, reading, and writing, regardless of whether they have Chinese heritage. The course provides a wide variety of literary genres, ranging from short stories to aesthetic essays to academic articles, to enhance students' mastery of formal written Chinese. While the primary objectives of this course lie in reading, students also have opportunities to develop their speaking competence through a variety of in-class discussions, debates, and presentations.
In this course, students will write original, independent papers of around 25 pages, based on research in both primary and secondary sources, on an aspect of the relationship between Columbia College and its colonial predecessor King's College, with the institution of slavery.
Introduction to fundamental methods used in systems engineering. Rigorous process that translates customer needs into a structured set of specific requirements; synthesizes a system architecture that satisfies those requirements and allocates them in a physical system, meeting cost, schedule, and performance objectives throughout the product life-cycle. Sophisticated modeling of requirements optimization and dependencies, risk management, probabilistic scenario scheduling, verification matrices, and systems-of-systems constructs are synthesized to define the meta-workflow at the top of every major engineering project.
Introduction to fundamental methods used in systems engineering. Rigorous process that translates customer needs into a structured set of specific requirements; synthesizes a system architecture that satisfies those requirements and allocates them in a physical system, meeting cost, schedule, and performance objectives throughout the product life-cycle. Sophisticated modeling of requirements optimization and dependencies, risk management, probabilistic scenario scheduling, verification matrices, and systems-of-systems constructs are synthesized to define the meta-workflow at the top of every major engineering project.
Introduction to the practical application of data science, machine learning, and artificial intelligence and their application in Mechanical Engineering. A review of relevant programming tools necessary for applying data science is provided, as well as a detailed review of data infrastructure and database construction for data science. A series of industry case studies from experts in the field of data science will be presented.
Introduction to the practical application of data science, machine learning, and artificial intelligence and their application in Mechanical Engineering. A review of relevant programming tools necessary for applying data science is provided, as well as a detailed review of data infrastructure and database construction for data science. A series of industry case studies from experts in the field of data science will be presented.
IEOR students only; priority to MSBA students. Practical survey of Python tools for acquiring, cleaning, and analyzing data. Techniques for obtaining data from files, web scraping, and APIs (CSV, HTML, JSON, XML); performing core data-cleaning tasks; and using data analysis, machine learning, and visualization libraries (NumPy, Pandas, Matplotlib, Seaborn, TensorFlow/Keras). Introduces foundational machine learning and deep learning concepts, including backpropagation, gradient descent, and implementation of neural networks with TensorFlow/Keras. Covers text mining using word, sentence, and document embeddings. Includes a group project requiring students to collect, store, and analyze a dataset of their choice and build a predictive model.
IEOR students only; priority to MSBA students. Practical survey of Python tools for acquiring, cleaning, and analyzing data. Techniques for obtaining data from files, web scraping, and APIs (CSV, HTML, JSON, XML); performing core data-cleaning tasks; and using data analysis, machine learning, and visualization libraries (NumPy, Pandas, Matplotlib, Seaborn, TensorFlow/Keras). Introduces foundational machine learning and deep learning concepts, including backpropagation, gradient descent, and implementation of neural networks with TensorFlow/Keras. Covers text mining using word, sentence, and document embeddings. Includes a group project requiring students to collect, store, and analyze a dataset of their choice and build a predictive model.
IEOR students only; priority to MSBA students. Practical survey of Python tools for acquiring, cleaning, and analyzing data. Techniques for obtaining data from files, web scraping, and APIs (CSV, HTML, JSON, XML); performing core data-cleaning tasks; and using data analysis, machine learning, and visualization libraries (NumPy, Pandas, Matplotlib, Seaborn, TensorFlow/Keras). Introduces foundational machine learning and deep learning concepts, including backpropagation, gradient descent, and implementation of neural networks with TensorFlow/Keras. Covers text mining using word, sentence, and document embeddings. Includes a group project requiring students to collect, store, and analyze a dataset of their choice and build a predictive model.
MS IEOR students only. Introduction to machine learning, practical use of ML algorithms and applications to financial engineering and operations. Supervised learning: regression, classification, resampling methods, regularization, support vector machines (SVMs), and deep learning. Unsupervised learning: dimensionality reduction, matrix decomposition, and clustering algorithms.
Prerequisites: extensive musical background. Analysis of instrumentation, with directional emphasis on usage, ranges, playing techniques, tone colors, characteristics, interactions and tendencies, all derived from the classic orchestral repertoire. Topics will include theoretical writings on the classical repertory as well as 20th century instrumentation and its advancement. Additional sessions with live orchestral demonstrations are included as part of the course.
To introduce students to programming issues around working with clouds for data analytics. Class will learn how to work with infrastructure of cloud platforms, and discussion about distributed computing, focus of course is on programming. Topics covered include MapReduce, parallelism, rewriting of algorithms (statistical, OR, and machine learning) for the cloud, and basics of porting applications so that they run on the cloud.
To introduce students to programming issues around working with clouds for data analytics. Class will learn how to work with infrastructure of cloud platforms, and discussion about distributed computing, focus of course is on programming. Topics covered include MapReduce, parallelism, rewriting of algorithms (statistical, OR, and machine learning) for the cloud, and basics of porting applications so that they run on the cloud.
This course will explore various topics in the History of U.S. foreign relations. Drawing on a wide range of scholarly writings, we will explore the history of the United States and the world with an eye toward the impact of American power on foreign peoples. Students will also use the semester to design, research, and write a substantial essay that draws on both primary and secondary sources on a topic chosen in consultation with the professor.
Markov Decision Processes (MDP) and Reinforcement Learning (RL) problems. Reinforcement Learning algorithms including Q-learning, policy gradient methods, actor-critic method. Reinforcement learning while doing exploration-exploitation dilemma, multi-armed bandit problem. Monte Carlo Tree Search methods, Distributional, Multi-agent, and Causal Reinforcement Learning.
Application of polymers and other materials in drug and gene delivery, with focus on recent advances in field. Basic polymer science, pharmacokinetics, and biomaterials, cell-substrate interactions, drug delivery system fabrication from nanoparticles to microparticles and electrospun fibrous membranes. Applications include cancer therapy, immunotherapy, gene therapy, tissue engineering, and regenerative medicine. Course readings include textbook chapters and journal papers. Homework assignments take format of assay responding to open-ended question. Term paper and 30-minute PowerPoint presentation required at end of semester.
The class, which is open to advanced undergraduate and graduate students, will explore silent and early sound films from the period of the Weimar Republic. Close analysis of films such as The Cabinet of Dr. Caligari, Nosferatu, Metropolis, M, Dr. Mabuse, The Blue Angel and others will be combined with a historicist exploration of the cinematic medium in the 1910s and 1920s. Specific topics of discussion include anxieties about the hypnotic power of the moving image, shell shock, spirit photography, the "New Woman," the mass ornament. All readings and class discussions are in English and all films have English sub- or intertitles.
Data visualization and how to build a story with data. Using complex data or statistics to communicate results effectively. Learn to present analysis and results conscisely and effectively.
OKR framework and different variations. Measurement techniques (A/B testing, validation, correlation, etc.) Identifying what to measure in product experience and business initiatives. Data-driven decision making.
Applied Analytics focus querying and transforming data with SQL, defining and visualizing metrics, measuring impact of products / processes. Tools and techniques to convert raw data to business decisions, statistical analysis. Be able to apply these techniques to real-world datasets.
Course covers major statistical learning methods for data mining under both supervised and unsupervised settings. Topics covered include linear regression and classification, model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. Students learn about principles underlying each method, how to determine which methods are most suited to applied settings, concepts behind model fitting and parameter tuning, and how to apply methods in practice and assess their performance. Emphasizes roles of statistical modeling and optimization in data mining.
Course covers major statistical learning methods for data mining under both supervised and unsupervised settings. Topics covered include linear regression and classification, model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. Students learn about principles underlying each method, how to determine which methods are most suited to applied settings, concepts behind model fitting and parameter tuning, and how to apply methods in practice and assess their performance. Emphasizes roles of statistical modeling and optimization in data mining.
The philosophy of Gilles Deleuze has emerged as one of the richest, most singular adventures in post-war European thought; Foucault considered it the most important in France, and more generally, in the 20th century. In all of Deleuze's work there is a search for a new 'image of thought.' But how did art figure in this search, and how did the search in turn appeal to artists, writers, filmmakers, architects, as well as curators or critics? In this seminar, we explore the complex theme of 'thinkin in art' in Deleuze, and its implications for art in the 21st century or for the global contemporary art of today.
Fundamentals of heterogeneous catalysis including modern catalytic preparation techniques. Analysis and design of catalytic emissions control systems. Introduction to current industrial catalytic solutions for controlling gaseous emissions. Introduction to future catalytically enabled control technologies.
Fundamentals of heterogeneous catalysis including modern catalytic preparation techniques. Analysis and design of catalytic emissions control systems. Introduction to current industrial catalytic solutions for controlling gaseous emissions. Introduction to future catalytically enabled control technologies.
The New York City Watershed: From Community Displacement to
Collaboration and Climate Adaptation
brings students to the Catskill Mountains in upstate New York to learn first hand from researchers and practitioners who help supply over ten million New Yorkers with safe and abundant drinking water while also working to build social, economic and environmental capital in the towns and villages located in the watershed surrounding the city’s reservoirs – all against a backdrop of increasing climate-related disruption.
The class will learn how New York City and a coalition of upstate watershed communities worked to end nearly a century of mutual resentment, displacement and extraction by entering into the
Watershed Agreement of 1997
, which has become a widely renowned model for collaborative and equitable water resources management planning in the twenty-five years since its completion. Students will engage with several of the Watershed Agreement’s original negotiators and with the local elected officials, agency staff and non-profit leaders who implement its signature “
multi-barrier
” strategy for drinking water protection through open space preservation, support for sustainable farming practices and investments in clean water infrastructure and sustainable economic growth in watershed communities. They will also learn how increases in storm intensity and warming driven by climate change threaten to upset the delicate balance between New York City’s need for safe drinking water and the socio-economic interests of upstate watershed communities.
Upon completion of the course, students will better understand the challenges involved in creating and implementing collaborative, multi-stakeholder plans for water resource management and host community benefits in today’s increasingly climate-disrupted world.
Introduction to principles, analysis, and applications of electric machines; transformers, DC machines, induction motors, and synchronous machines. Fundamentals of electromagnetic energy conversion, steady-state and dynamic machine models.
In this seminar we will read the complete published plays of August Wilson along with significant unpublished and obscurely published plays, prose, and poetry. The centerpieces of this course will be what Wilson termed his “century cycle” of plays: each work focusing on the circumstances of Black Americans during a decade of the twentieth century. As we consider these historical framings, we also will explore closely on what Wilson identified as the “four B’s” that influenced his art most emphatically: Bessie Smith (sometimes he called this first B the Blues), Amiri Baraka, Romare Bearden, and Jorge Luis Borges. Accordingly, as we consider theoretical questions of cross-disciplinary conversations in art, we will study songs by Bessie Smith (and broad questions of the music and literary form), plays, prose, and poetry of Baraka (particularly in the context of Wilson’s early Black Arts Movement works), the paintings of Bearden, and the poetry and prose (along with a few lectures and transcribed interviews) of Borges. We will use archival resources (online as well as “hard copy” material, some of it at Columbia) to explore Wilson’s pathways as a writer, particularly as they crisscrossed the tracks of his “four B’s.” Along the way we will examine several drawings and paintings (from his University of Pittsburgh archives) as we delve into the rhythmical shapes, textures, and colors he used on paper and canvas as well as in his plays. Visitors to the class will include Wilson’s musical director Dwight Andrews and at least one of his regular actors.
Examines interpretations and applications of the calculus of probability including applications as a measure of degree of belief, degree of confirmation, relative frequency, a theoretical property of systems, and other notions of objective probability or chance. Attention to epistimological questions such as Hume's problem of induction, Goodman's problem of projectibility, and the paradox of confirmation.
Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.
Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit.
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit.
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit.
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit.
or
Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.
Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.
Each offering of this course is devoted to a particular sector of Operations Research and its contemporary research, practice, and approaches. If topics are different, then course can be taken more than once for credit.
or
Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.
The IEOR Department hosts Business Analytics Practitioners Seminars throughout the Fall and Spring semesters. There are 5-6 seminars per semester, for a total of 10-12 seminars a year. These seminars feature a variety of academics and professionals in the field of Business Analytics; they are meant to educate and expose students to the latest research and practice.
First year BA students are required to attend all BA seminars during their first year
as well as submit journals about the material.
Primer on quantitative and mathematical concepts. Required for all incoming MSBA students.
Basic radiation physics: radioactive decay, radiation producing devices, characteristics of the different types of radiation (photons, charged and uncharged particles) and mechanisms of their interactions with materials. Essentials of the determination, by measurement and calculation, of absorbed doses from ionizing radiation sources used in medical physics (clinical) situations and for health physics purposes.
How do global capital flows, neoliberal rationalities, and elite-led (re)development projects shape urban space around the world—including the buildings, transit infrastructures, and campus environments that we navigate on a daily basis? To what extent are our imaginaries concerning urban space, and the places that we inhabit and traverse, similarly molded by global-capitalist dynamics? In turn, what role do cities play as privileged sites in the maintenance, reproduction, and spread of global capitalism—as well as of efforts to contest it (for example, under the framework of promoting a “right to the city”)?
This courses explores, from a critical political-economy perspective, the nexus between urban space and the global capitalist system. Specifically, we will analyze how global capitalism makes and remakes contemporary cities, including the built environment and socio-spatial dynamics therein, but also the dialectical processes through which cities and spatial logics simultaneously reshape global capitalism and its geographies of accumulation. Throughout, we will engage with diverse, transdisciplinary interlocutors, sources, and media to highlight not only the links between the contemporary city and the generation and/or perpetuation of inequalities, social hierarchies, and environmental degradation—but also alternative models for affordable housing, climate-friendly construction, and the democratization of urban space.
Naturally, our embeddedness in New York City will provide an important vantage point from which to contemplate these issues. Additionally, we will pay particular attention to cities in Brazil, Latin America more broadly—the world’s most urbanized region—and elsewhere in the Global South, where especially acute elite anxieties concerning modernity, underdevelopment, and globality have led to recurring (and often European-inspired) efforts to refashion urban space, as well as to create entirely new cities.
Moving between different languages and alphabets is a constitutive aspect of the diasporic experience. To remember or forget the mother tongue, to mix up two or more languages, to transcribe one writing system onto another are all modes of negotiating geographical displacement. This course introduces students to literature about and by Greeks of the diaspora in Europe, the Balkans and America over the past two centuries exploring questions of migration, translation and gender with particular attention to the look and sound of different alphabets and foreign accents – “It’s all Greek to me!” Authors include Benjamin, Broumas, Chaplin, Chow, Conan Doyle, Kafka, Kazan, Morrison, Papadiamantis, Queen, Valtinos and Venuti.