IEOR students only; priority to MSBA students. Survey tools available in Python for getting, cleaning, and analyzing data. Obtain data from files (csv, html, json, xml) and databases (Mysql, PostgreSQL, NoSQL), cover the rudiments of data cleaning, and examine data analysis, machine learning, and data visualization packages (NumPy, pandas, Scikit-lern, bokeh) available in Python. Brief overview of natural language processing, network analysis, and big data tools available in Python. Contains a group project component that will require students to gather, store, and analyze a data set of their choosing.
This seminar explores the intersection of immigration, race, and politics in New York City, both from the perspective of history and in relation to contemporary realities. In this course we will discuss the ways in which immigration has reshaped the cultural, economic, and political life of New York City both in the past as well as the present. Readings will focus on the divergent groups who have settled in New York City, paying close attention to issues of gender, class, race, the role of labor markets, the law, and urban development. At several points during the semester, the class will relocate to various locations in New York City, so that the class can meet those shaping the image of immigrant life in New York in places such as the Tenement Museum as well as leaders shaping immigrants’ lived experience of the city today.
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.
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.
This course will cover the basics of game theory and market design, with a focus on how AI and optimization enables large-scale game solving and markets. We will cover the core ideas behind recent superhuman AIs for games such as Poker. Then, we will discuss how AI and game theory ideas are used in marketplaces such as internet advertising, fair course seat allocation, and spectrum reallocation. This is intended to be an advanced MS level and senior undergraduate course for students in Operations Research and Financial Engineering.
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.
In the public speech announcing his abdication, on October 25, 1555, emperor Charles V gave an impressive summary of the incessant travels that governed his political life: “I went nine times through Germany, six times to Spain, seven times to Italy, four times to France, twice to England, and twice to Africa, for a total of forty journeys or expeditions, not to mention the less important visits I paid over the years to islands and obedient provinces. I therefore have crossed the Mediterranean Sea eight times and sailed the ‘Hispanic Ocean’ three times”. Along these routes, the seminar will explore the sites of cross-cultural encounters in the world of Charles V and investigate their composite artistic productions. Retracing the cartography of the dynamic web of interconnections that was to shape the political and geographical "monster" of the Spanish Hapsburg Empire, as Fernand Braudel calls it, the seminar aims to discuss the paradigms of this early modern model of globalization. The course will be run as a seminar, with meetings devoted to discussions. Students will be responsible for the summary and introduction of the weekly readings for discussion.
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.
Buddhist arts and sciences traditionally are divided into the interconnected disciplines of ethics (śīla), wisdom/philosophy (prajñā), and “meditation” or experiential cultivation (samādhi/bhāvanā). This seminar course introduces the latter discipline, thus complementing and completing Prof. Yarnall’s Columbia seminars on Buddhist Ethics (RELI UN3500) and Indo-Tibetan Buddhist Philosophy (RELI GU4630), either of which—in addition to his introductory lecture course on Indo-Tibetan Buddhism (RELI UN2205)—are encouraged as prerequisites. This course will provide a detailed presentation of key Buddhist contemplative sciences, including: stabilizing meditation (śamatha); analytic insight meditation (vipaśyanā); cultivation of the four immeasurables, and form and formless trances; mind cultivation (lo jong); mindfulness meditation; Zen meditation; great perfection (dzogchen); and the subtle body-mind states activated and transformed through advanced tantric yoga techniques. These arts and sciences will be explored both within their traditional interdisciplinary frameworks, as well as in dialog with related contemporary disciplines, including: cognitive sciences, neuroscience, psychology, psychiatry, philosophy, epistemology, and so forth. To be conducted in a mixed lecture/seminar format (active, prepared participation required).
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.
This seminar provides an overview of sacrifice in both theory and practice. The concept of sacrifice, and its contestation, allows us to explore a range of issues and institutions related to the (often violent) act of “giving up,” or exchange. What must a sacrifice be, and how do its instantiations—for God; for country; for kin; for love; for rain; etc.—take shape? Readings are drawn from a range of sources, including Biblical texts and commentaries, the anthropological record, critical theory, comparative literature, and work on race and gender. The seminar aims to provide students with a strong foundation for relating sacrifice to broader concerns with the body, media/mediation, religion, politics, and kinship.
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.
Prerequisites: General biology or the instructors permission. Given in alternate years. Plant organismal responses to external environmental conditions and the physiological mechanisms of plants that enable these responses. An evolutionary approach is taken to analyze the potential fitness of plants and plant survival based on adaptation to external environmental factors. One weekend field trip will be required.
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.
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.
Technological breakthroughs driven change, disruption, and transformation of the business landscape/society. Course covers overview of deep learning and neural networks; AI and robotics; imaging and vision; photonics; blockchain; smart/digital cities; and the application of these technologies for creating new products and services.
This course looks at the role nuclear issues played in American history, politics and society from the instigation of the Manhattan project to the beginnings of arms control negotiations in the 1960s. As well as looking at the political, diplomatic and moral issues raised by the development and possible use of nuclear weapons, the course will also cover the influence of nuclear fears on US culture, and the domestic political controversies and grass roots activism triggered by US nuclear policies, including in such areas as nuclear testing. Classes will also feature discussion of contemporary documents from the period, as well as film clips.
This course is designed as an introductory exposure to entrepreneurial concepts and practical skills for engineering students (and others) who wish to explore entrepreneurship conceptually or as a future endeavor in their careers. The class will be a mix of lecture, discussion, team-building and in-the-field workshopping of concepts we cover.
Through a series of thematically-arranged secondary and primary source readings and research writing assignments, students in this seminar course will explore the public health, medical, political, and social histories of HIV and AIDS in Black American communities. The course’s chronological focus begins roughly two decades before the first recognition of the syndrome to the first decade of the twenty-first century. Thematically, the course will address several issues, including syndemic theory; stigma, homophobia and political marginalization; late capitalism and public health; the health effects of segregation; and mass incarceration. Please note that admission to this course is by application
Please note that students enrolling in this course must do so for a grade, and not on a pass/fail or audit basis.
The last decade of 20 th century witnessed a rapid convergence of three C’s: Communications, Computers, and Consumer Electronics. This convergence has given us the Internet, smart phones, and an abundance of data with Data Science playing a major role in analyzing these data and providing predictive analytics that lead to actionable items in many fields and businesses. Finance is a field with a large amount of information and data that can utilize the skills of Data Scientists, however, to be effective in this field a data scientist, in addition to analytic knowledge, should also be knowledgeable of the working, instruments, and conventions of financial markets that range from Foreign Exchange to Equities, Bonds, Commodities, Cryptocurrencies and host of other asset classes. The objective of this course is to provide Data Science students with a working knowledge of major areas of finance that could help them in finding a position in the Financial Industry. The wide range of topics covered in this course besides expanding the range of positions where students could be a fit, it gives them more flexibility in their job search. The course will also be of value to them in managing their own finances in the future.
A project-based course in Forecasting, predicting a time series into the future, with the aim to prepare students for real-world applications including articulating the business case, value creation, problem statement, and the iterative development of solutions including building a data pipeline, exploration, modeling, and visualizations. The course will use Statistical methods, Machine Learning, and Deep Learning to predict a time series. It will use nuggets of signal processing to augment Machine Learning models to characterize and filter orders of dynamics in the time series data.
What does a critical Buddhist studies look like; What does a critical area studies look like? Tibetan studies has long been dominated by a study of Tibetan Buddhism, a proxy for the lost nation. This class explores how Tibet entered into the circulation of knowledge across Eurasia to examine what critical Buddhist studies might look like.
This Columbia University course offers a project-based learning experience focused on systematic quantitative investment. It covers the full data science workflow, from concept to performance evaluation. Students will engage in a real-time financial forecasting competition, using open-source financial and alternative data, to make and present investment decisions. Ideally, this course suits students aspiring to careers as quants or data scientists in the financial sector.
The course focuses on a PRACTICAL study of how to quantify & predict RISK in organizations by using learnings from: Regression analysis; Monte Carlo simulation; Factor analysis; Cohort analysis; Cluster analysis; Time series analysis; Sentiment analysis. Expectation is that incoming students should have a basic understanding of such concepts and statistics. The course will offer meeting & listening to CXO's & top executives from companies who have implemented robust AI & Applied Risk solutions to solve real-world problems in their own industries.
It will give students a great opportunity to learn practical applications of predictive analytics to solve real business problems
By taking this course, students will gain the tools and knowledge to develop a comprehensive new venture that is scalable, repeatable and capital efficient. The course will help students formulate new business ideas through a process of ideation and testing. Students will test the viability of their ideas in the marketplace and will think through the key areas of new venture. The first part of the course will help students brainstorm about new ideas and test the basic viability of those ideas through of process of design and real world tests. After an idea is developed students will work
towards finding a scalable, repeatable business model. We will cover customer discovery, market sizing, pricing, competition, distribution, funding, developing a minimal viable product and many other facets of creating a new venture. The course will end with students having developed a company blueprint and final investor pitch. Course requirements include imagination, flexibility, courage, getting out of the building, and passion.
In this course, you'll leverage student engagement data to create a photo and text recommendation app similar to Instagram/Twitter. This app will utilize AI-generated photos and text and require you to recommend a feed from over 500,000 pieces of AI generated content. We'll explore various techniques to achieve this, including, but not limited to: Candidate Generation (Collaborative filtering, Trending, Cold start, N-tower neural network models, Cross-attention teachers, Distillation, Transfer learning, Random graph walking, Reverse indexes, LLMs as embedding), Filtering (Small online models, Caching, Deduplication, Policy), Prediction/Bidding (User logged activity based prediction (time-series), Multi-gate mixture of experts (MMOE), Regularization, Offline/Online evaluation (NDCG, p@k, r@k), Boosted Trees, Value Based Bidding), Ranking (Re-ranking, Ordering, Diversity, Enrich/Metadata/Personalization, Value Functions), Misc (Data Privacy and AI Ethics, Creator Based Models, Declared, Explicit and implicit topics, Explore/Exploit, Interpret/Understand/Context/Intention).
These concepts are applicable to various recommendation systems, from e-commerce to travel to social media to financial modeling. The instructor's experience at Uber Eats, Facebook, Instagram, and Google will provide valuable insights into real-world use cases.
This course will introduce students to epistemological and methodological questions about modernity, community, and artistic practice through case studies from the Middle East (particularly Lebanon, Syria, Palestine, Iraq, Iran, Egypt, Morocco, Algeria, Tunisia, and Turkey). The course bridges art history and anthropology to examine the material and imaginative ways that Middle Eastern communities produced the modern, experienced it, and became progenitors of it, yet often from its “outside.”
How did modernity become an urgent time frame and a call for social change? What did decolonizing communities want from “art,” and why was art important to many sociopolitical mobilizations of the 1920s-1960s? What new types of community, identity, economy, and spirituality did artists proffer? How do these relate to the maps, timelines, and categories we rely on to understand globalization and the contemporary today? What obstacles did artists face in their projects for social relevance, and what new entanglements did their negotiations create?
The course will provide students with original materials and non-canonical artwork to prompt discussions of how we think about modernity cross-culturally and the stakes in art research today. Thus, it will also encourage students to reflect on what modernity and art mean to them and how they locate themselves in our unequally shared political world.
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.
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.
Prerequisites: none; high school chemistry recommended. This course is open to graduate students, and juniors and seniors within DEES, Sus Dev, Engineering, Chemistry, Physics, and APAM - or with the instructors permission. Survey of the origin and extent of mineral resources, fossil fuels, and industrial materials, that are non renewable, finite resources, and the environmental consequences of their extraction and use, using the textbook Earth Resources and the Environment, by James Craig, David Vaughan and Brian Skinner. This course will provide an overview, but will include focus on topics of current societal relevance, including estimated reserves and extraction costs for fossil fuels, geological storage of CO2, sources and disposal methods for nuclear energy fuels, sources and future for luxury goods such as gold and diamonds, and special, rare materials used in consumer electronics (e.g. ;Coltan; mostly from Congo) and in newly emerging technologies such as superconducting magnets and rechargeable batteries (e.g. heavy rare earth elements, mostly from China). Guest lectures from economists, commodity traders and resource geologists will provide ;real world; input.
In August 2016, a working group of the International Geological Congress voted to acknowledge a new geological epoch, following 11,700 years of the Holocene, and that it would be called The Anthropocene. The announcement indicated a new era in the earth’s chronology marked by the consequences of human activity on the planet’s ecosystems. Closely related to discussions of sustainability, investigations into the Anthropocene tend to focus on environmental and ecological issues while ignoring its social justice dimensions. This course will investigate how Human Rights has and will be impacted by the Anthropocene, with special attention paid to the human dimensions and consequences of anthropogenic change. Do new and troubling revelations about anthropogenic mistreatment of the earth and its resources modify or amplify the kinds of responsibilities that govern activity between individuals and communities? How do we scale the human response from the urban, to the periurban, to the rural? How must the study of Human Rights evolve to address violence and mistreatment associated not just among humans but also amid human habitats? What sorts of juridical changes must occur to recognize and respond to new manifestations of social injustice that relate directly to consequences of anthropogenic changes to the Earth system? Topics will include discussions of the Environmental Justice movement, agribusiness, access to (and allocation of) natural resources, population growth; its global impact, advocacy for stronger and more accountability through environmental legal change, biodiversity in urban environments, and the growing category of environmental refugees.
A novel course on the history of understanding of global climate crisis during the Cold War period and a role of science in the agenda of global climate change aims to demonstrate the connections of present state of knowledge and policy with the trajectory of the past. How much this past (s) could and should be useful is the focus of the discussions in the class. The discussions are based on historical narratives, including the history of institutional landscape of science, impacts of individual scientists, imaginaries of the future in the past. All narratives are imbedded in a larger socio-economic and political context. The unique dimension of the course is the inclusion of Soviet climate science which is considered as a global force with a significant knowledge circulations and participation in international organizations. The course is useful for climate students as well as for history and political science students.
Risk management models and tools; measure risk using statistical and stochastic methods, hedging and diversification. Examples include insurance risk, financial risk, and operational risk. Topics covered include VaR, estimating rare events, extreme value analysis, time series estimation of extremal events; axioms of risk measures, hedging using financial options, credit risk modeling, and various insurance risk models.
Overview of robot applications and capabilities. Linear algebra, kinematics, statics, and dynamics of robot manipulators. Survey of sensor technology: force, proximity, vision, compliant manipulators. Motion planning and artificial intelligence; manipulator programming requirements and languages.
Overview of robot applications and capabilities. Linear algebra, kinematics, statics, and dynamics of robot manipulators. Survey of sensor technology: force, proximity, vision, compliant manipulators. Motion planning and artificial intelligence; manipulator programming requirements and languages.
Since the ascent of Narendra Modi as Prime Minister of India in 2014, Hindu nationalism has dominated headlines concerning India across the globe. However, the influence that Hindu nationalism has had in shaping beliefs about citizenship, belonging, religion, and the nation has a history that predates the Modi regime by around a hundred and fifty years. This class will examine the history of Hindu nationalism from the nineteenth to the twenty-first century by examining primary texts and academic analysis. This class will not only read the writings of key Hindu nationalist thinkers but will also examine how different media and technologies have affected how Hindu nationalists communicate with different publics. In particular, this class will examine topics such as space/ geography, caste and community, gender, technology and media, and diasporic Hindutva.
Principles of nontraditional manufacturing, nontraditional transport and media. Emphasis on laser assisted materials processing, laser material interactions with applications to laser material removal, forming, and surface modification. Introduction to electrochemical machining, electrical discharge machining and abrasive water jet machining.
Hands-on studio class exposing students to practical aspects of the design, fabrication, and programming of physical robotic systems. Students experience entire robot creation process, covering conceptual design, detailed design, simulation and modeling, digital manufacturing, electronics and sensor design, and software programming.
Frontiers of Justice is designed to encourage students and equip them with the skills to become active and effective “Change Agents” within their academic institutions and larger communities.. Oriented by the question,
What does justice look like?
, this course aims to raise political and social awareness and engagement with the challenges facing New York City and strengthen ties between Columbia University, disadvantaged communities, and city government agencies and community organizations. Through sharing ideas about how to make structural and systemic change in ways that integrate science, law, politics, history, narrative and community engagement, the course is intended to support students in working to break down racial and ethnic barriers and toward a more fair and just society.
(Lecture). This lecture course is intended as the first half of the basic survey in African-American literature. By conducting close readings of selected song lyrics, slave narratives, fiction, poetry, and autobiography, we will focus on major writers in the context of cultural history. In so doing, we will explore the development of the African- American literary tradition. Writers include, but are not limited to, Wheatley, Equiano, Douglass, Jacobs, Harper, Dunbar, Chestnutt, Washington, Du Bois, and Larsen. Course requirements: class attendance, an in-class midterm exam, a five-page paper, and a final exam.
Required for undergraduate students majoring in OR:FE. Characteristics of commodities or credit derivatives. Case study and pricing of structures and products. Topics covered include swaps, credit derivatives, single tranche CDO, hedging, convertible arbitrage, FX, leverage leases, debt markets, and commodities.
Required for undergraduate students majoring in OR:FE. Characteristics of commodities or credit derivatives. Case study and pricing of structures and products. Topics covered include swaps, credit derivatives, single tranche CDO, hedging, convertible arbitrage, FX, leverage leases, debt markets, and commodities.
Advanced Hindi I and II are third year courses in the Hindi-Urdu program that aim to continue building upon the existing four language skills (speaking, listening, reading and writing) along with grammar and vocabulary in a communicative approach. The objective of these courses is to strengthen students’ language skills and to go beyond them to understand and describe situations and the speech community, understand and discuss Hindi literature and films, news items, T.V. shows and current events. Students will also be given opportunities to work on their areas of interest such as popular culture, professional and research goals in the target language. Students will be expected to expand their vocabulary, enhance grammatical accuracy and develop cultural appropriateness through an enthusiastic participation in classroom activities and immersing themselves in the speech community outside. This course will be taught in the target language. All kinds of conversations such as daily life, on social/public interests’ topics as well as on academic interests, will occur in the target language. No P/D/F or R credit is allowed for this class.
This course is a broad cultural history of gender, sex, religion, and power in South Asia over the
longue durée.
Readings will examine these topics in early modern and modern Indian cultures and have been chosen not so much with a view toward comprehensiveness but for variety–– allowing us to explore gender and sexuality in diverse topics such as religion, literature, politics, visual culture, and historiography.
Prerequisites: The instructors permission. As music moves into the 21st century, we find ourselves surrounded by an ever-evolving landscape of technological capability. The world of music, and the music industry itself, is changing rapidly, and with that change comes the opening – and closing – of doorways of possibility. What does this shift mean for today’s practicing artist or composer? With big label recording studios signing and nurturing fewer and fewer artists, it seems certain that, today, musicians who want to record and distribute their music need to be able to do much of the recording and production work on their own. But where does one go to learn how to do this – to learn not only the “how to” part of music production, but the historical underpinnings and the development of the music production industry as well? How does one develop a comprehensive framework within which they can place their own artistic efforts? How does one learn to understand what they hear, re-create what they like and develop their own style? This class, “Recorded Sound,” aims to be the answer. It’s goal is to teach artists how to listen critically to music from across history and genres in order to identify the production techniques that they hear, and reproduce those elements using modern technology so they can be incorporated into the artist’s own musical works.
Prerequisites: Two years of prior study in Urdu or one year of Urdu for Heritage Speakers I&II courses at Columbia University, or approval of the professor. This is a one-semester course in advanced Urdu language. It will be taught in the fall semester. The goal of the course is to develop students’ linguistic skills i.e. listening, speaking, reading, writing and cultural skills in Urdu, and give students in-depth exposure to some of the finest works of classical and modern Urdu prose. Special emphasis will be given to developing a high-register vocabulary. Necessary grammar points will also be explained for developing an accurate and nuanced understanding of the Urdu language. After completing this course, students will be able to read and enjoy Urdu classics and critical academic texts related to various disciplines i.e. old tales, short stories, essays, history, satire, criticism, politics, current issues etc. along with effective speaking skills suited to active interaction in the speech community and a more advanced academic discussion for undergraduate and graduate students. Students will develop an in-depth understanding of South Asian society and culture as well. This course will prepare students to take MDES GU4635 Readings in Urdu Literature I.
Although a geographically small area, the Caribbean has produced major revolutionary movements, and two globally influential revolutions: the Haitian Revolution (1791-1804) and the Cuban Revolution (1959-1976). It has also produced literature and poetic discourse that has sought to revolutionize politics through language. In this course, we will examine texts that reflect on revolution and/or attempt to revolutionize by writers such as Aimé Césaire, CLR James, Derek Walcott, Alejo Carpentier, Frantz Fanon, Reinaldo Arenas, Michelle Cliff, and V.S. Naipaul, among others. We will also read essays by Hannah Arendt, André Breton, Paul Breslin, A. James Arnold, Phyllis Taoua, Robin D.G. Kelley, Brad Epps, Kimberle Lopez, Bruce King, Maria Elena Lima, Yoani Sánchez, and Audre Lorde. In addition, we will listen to a variety of music by Caribbean and African American musicians that take revolution as its theme in form and/or content.
Prerequisites: Some knowledge of Research Methods, Statistics, and Social Psychology, plus Instructors Permission. Reviews and integrates current research on three important topics of social psychology: culture, motivation, and prosocial behavior. Discussions and readings will cover theoretical principles, methodological approaches, and the intersection of these three topics. Students will write a personal research proposal based on the theories presented during the seminar.
Systemic approach to the study of the human body from a medical imaging point of view: skeletal, respiratory, cardiovascular, digestive, and urinary systems, breast and womens issues, head and neck, and central nervous system. Lectures are reinforced by examples from clinical two- and three-dimensional and functional imaging (CT, MRI, PET, SPECT, U/S, etc.).
Theory of convex optimization; numerical algorithms; applications in circuits, communications, control, signal processing and power systems.
This course is designed to introduce contemporary children’s rights issues and help students develop practical advocacy skills to protect and promote the rights of children. Students will explore case studies of advocacy campaigns addressing issues including juvenile justice, child labor, child marriage, the use of child soldiers, corporal punishment, migration and child refugees, female genital mutilation, and LBGT issues affecting children. Over the course of the semester, students will become familiar with international children’s rights standards, as well as a variety of advocacy strategies and avenues, including use of the media, litigation, and advocacy with UN, legislative bodies, and the private sector. Written assignments will focus on practical advocacy tools, including advocacy letters, op-eds, submissions to UN mechanisms or treaty bodies, and the development of an overarching advocacy strategy, including the identification of goals and objectives, and appropriate advocacy targets and tactics.
Prepares students to gather, describe, and analyze data, using advanced statistical tools to support operations, risk management, and response to disruptions. Analysis is done by targeting economic and financial decisions in complex systems that involve multiple partners. Topics include probability, statistics, hypothesis testing, experimentation, and forecasting.
This course will educate students and support effective coastal resilience planning and climate justice through social and data science learning and data acquisition and analysis, making use of emerging technologies and best practices for collaboration with environmental and climate justice practitioners.
Instruction is provided in two areas: i. Climate adaptation planning & climate justice; and, ii. Data science: acquisition, analysis and visualization. Students and instructors will work with participating community-based climate and environmental justice organizations to collect and analyze biological, geographic and socio-economic data relevant to local resilience needs. Once this data has been acquired or generated and quality-assured, the students and community partner organizations will prepare it for presentation to federal, state and local planning officials, to help ensure that the resilience goals and related concerns identified by our community partners will be fully reflected in future planning by those officials.
Upon completion of the course, students will better understand the challenges involved in creating and implementing collaborative, data-informed, multi-stakeholder plans for coastal resilience and ecosystem restoration in today’s increasingly climate-disrupted world. Successful completion of this course will partially fulfill the
Analysis and Solutions to Complex Problems
coursework requirement within the Undergraduate Major in Sustainable Development.
This course is a combination of lectures, seminar participation, and group practicums which probes the possibility of a decolonial art research practice. This course introduces students to western approaches to politics and art through a sustained engagement with critical Indigenous and anticolonial theories of human relations to the more-than-human world. It is a mixture of lectures, class discussion, and individual practicums which lead to final projects that combine image and text.
Introduction to phylogenetic relationships, evolution, and ecology of the major groups of arthropods, with emphasis on insects. Lab: indentification of common families of spiders and insects of the northeastern United States.
You will be asked to watch a lot of movies for this course. Some of the films will be assigned primarily to provide background and will receive only glancing attention in class; others (as indicated) will be the focus of our discussion. Your postings on Courseworks will draw from both categories of assigned films.
Prerequisites: Two courses in psychology, including at least one course with a focus on social and/or developmental psychology, and permission of the instructor. Review of theories and current research on moral cognition and behavior. Topics include definitions of morality, the development of moral cognition, the role that other aspects of human experience (e.g. emotion, intentions) play in moral judgments, and the relationship between moral psychology and other areas of study (e.g. religious cognition, prejudice and stereotyping, the criminal justice system).
Prerequisites: Two courses in psychology, with at least one focusing on statistics and/or research methods in psychology, and permission of the instructor. Review of basic psychological research that is relevant to questions people frequently encounter during the course of everyday life. Potential topics for this seminar include research on decision-making, emotion, and/or interpersonal relationships.
Chemical and physical aspects of genome structure and organization, genetic information flow from DNA to RNA to Protein. Nucleic acid hybridization and sequence complexity of DNA and RNA. Genome mapping and sequencing methods. The engineering of DNA polymerase for DNA sequencing and polymerase chain reaction. Fluorescent DNA sequencing and high-throughput DNA sequencer development. Construction of gene chip and micro array for gene expression analysis. Technology and biochemical approach for functional genomics analysis. Gene discovery and genetics database search method. The application of genetic database for new therapeutics discovery.
This seminar uses an open rubric of “topics in contemporary critical theory” to engage a wide range of current concepts, approaches, strands, and debates residing at the crux of social and cultural critique in the intersections of social and political theory, anthropology, literary and cultural studies. Located on these crossroads of the humanities and the social sciences, contemporary critical theory—in the broad sense used here—draws on several traditions of intellectual thought, including (post-)Marxism, ideology critique, critical ethnography, psychoanalytic theory, critical race theory, feminist and postcolonial/decolonial critique. The seminar traces such lines of inquiry in order to explore the links between knowledge, power, subjectivity, and the political. Special attention is given to the relationship between thought and praxis in various contemporary sociopolitical contexts.
Specific focus this time is the broader problem of democracy in contemporary societies, both in their national and their global dimensions. This is especially trenchant with the migration/refugee crisis in Europe, the problem of open/closed borders worldwide, and the security crisis in the aftermath of the pandemic and the war in Ukraine. The volume and intensity of human mobility from the Middle East and North Africa to Europe remains dramatically steady, despite the overall restrictions in mobility following the pandemic conditions worldwide and the resurgence of extreme nationalism. During the last decade refugee statelessness has evolved into a quasi-permanent liminal condition of being within the political body of ‘Western’ societies, especially in so called border countries of the European periphery. The continuous expansion and multiplication of internment camps in countries such as Turkey, Greece, Italy, Spain, etc. has created different states of existence within national territories, raising a wide range of issues that concern statehood, political rights, the right to equal treatment and access to public goods (i.e., health, education, safety, representation etc.).
This cascade of interior frontiers has precipitated a huge debate on questions of citizenship and democratic institutions in the broadest sense. Moreover, dissent has grown across societies, regardless of identity parameters (class, race, gender, ethnicity, religion) and across the ideological spectrum. What now seems to be a permanent crisis of democracy is paradoxically what reveals democracy’s
Prerequisite(s): IEOR E4106 or E3106. Required for undergraduate students majoring in OR:FE. Introduction to investment and financial instruments via portfolio theory and derivative securities, using basic operations research/engineering methodology. Portfolio theory, arbitrage; Markowitz model, market equilibrium, and the capital asset pricing model. General models for asset price fluctuations in discrete and continuous time. Elementary introduction to Brownian motion and geometric Brownian motion. Option theory; Black-Scholes equation and call option formula. Computational methods such as Monte Carlo simulation.
This course presents basic mathematical and statistical concepts that are essential for formal and quantitative analysis in political science research. It prepares students for the graduate-level sequence on formal models and quantitative political methodology offered in the department. The first half of the course will cover basic mathematics, such as calculus and linear algebra. The second half of the course will focus on probability theory and statistics. We will rigorously cover the topics that are directly relevant to formal and quantitative analysis in political science such that students can build both intuitions and technical skills. There is no prerequisite since this course is ordinarily taken by Ph.D. students in their first semester. The course is aimed for both students with little exposure to mathematics and those who have taken some courses but wish to gain a more solid foundation.
NOTE: This course does not satisfy the Political Science Major/Concentration research methods requirement.
Prior knowledge of Python is recommended. Provides a broad understanding of the basic techniques for building intelligent computer systems. Topics include state-space problem representations, problem reduction and and-or graphs, game playing and heuristic search, predicate calculus, and resolution theorem proving, AI systems and languages for knowledge representation, machine learning and concept formation and other topics such as natural language processing may be included as time permits.
This graduate course is only for M.S. Program in Financial Engineering students, offered during the summer session. Review of elements of probability theory, Poisson processes, exponential distribution, renewal theory, Wald’s equation. Introduction to discrete-time Markov chains and applications to queueing theory, inventory models, branching processes.
This is the required discussion section for
POLS GU4700.
This course investigates the boldly experimental world of the early modern English theater. The opening of London’s commercial playhouses in the last quarter of the sixteenth century fundamentally changed the nature of popular entertainment, offering eager spectators an array of secular drama for the first time in English history. We will read a range of playwrights and dramatic genres, asking how these plays both responded to each other and intervened in the issues of class, race, gender, sexuality, and politics that defined English early modernity. We will also spend time discussing the plays in performance, attending to the ways that conditions of early modern staging influence literary meaning. Finally, we will give attention to the performance styles and techniques of those actors who, in inspiring admiration and adoration as they realized these plays onstage, became London’s very first celebrities.
This course investigates the boldly experimental world of the early modern English theater. The opening of London’s commercial playhouses in the last quarter of the sixteenth century fundamentally changed the nature of popular entertainment, offering eager spectators an array of secular drama for the first time in English history. We will read a range of playwrights and dramatic genres, asking how these plays both responded to each other and intervened in the issues of class, race, gender, sexuality, and politics that defined English early modernity. We will also spend time discussing the plays in performance, attending to the ways that conditions of early modern staging influence literary meaning. Finally, we will give attention to the performance styles and techniques of those actors who, in inspiring admiration and adoration as they realized these plays onstage, became London’s very first celebrities.
Computational approaches to natural language generation and understanding. Recommended preparation: some previous or concurrent exposure to AI or Machine Learning. Topics include information extraction, summarization, machine translation, dialogue systems, and emotional speech. Particular attention is given to robust techniques that can handle understanding and generation for the large amounts of text on the Web or in other large corpora. Programming exercises in several of these areas.
This graduate course is only for M.S. Program in Financial Engineering students, offered during the summer session. Discrete-time models of equity, bond, credit, and foreign-exchange markets. Introduction to derivative markets. Pricing and hedging of derivative securities. Complete and incomplete markets. Introduction to portfolio optimization and the capital asset pricing model.