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.
Prerequisites: (MDES GU4510) and (MDES GU4511) 3RD Year Modern Hebrew or the instructor's permission. 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.
An interdisciplinary investigation into Italian culture and society in the years between World War I and the present. Drawing on historical analyses, literary texts, letters, film, cartoons, popular music, etc. 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.
Advanced Moving Image: Video, Film, Art & Movement
is an advanced moving image class which centers on the use of both established and emergent digital technologies as a medium for exploration and artistic expression. The focus will be on artworks that reference the body/bodies in movement, the creation of Avatars and the designing of environments and spatial narratives. Existing works from this emergent area will be shown to give cultural and historical context, seen through a personal and political lens. The course will be intensive and hands-on, the apprehension of technical and aesthetic skills will be utilized to create works based on the individual or collective expression of the artist/s.
Students are encouraged to explore areas of personal interest and to incorporate this research
into their production work. Taking an active role in class discussions and production teamwork is
required. The course is offered to both graduate and undergraduate students. It is expected that at the end of the course students will have gained an active knowledge of core concepts and techniques useful in working with performance capture within an art context.
Prerequisites: ECON UN3211 and ECON UN3213. Econ GU4505 is an
elective in the economics major. The course develops models for the
analysis of the determinants of international capital flows, trade
imbalances, and exchange rates. The models are then used as the basis
for the discussion of topics such as Global Imbalances, Uncertainty and
the Current Account, The Global Saving Glut, Purchasing Power Parity,
Sudden Stops, Real Exchange Rates and Productivity, Covered Interest
Rate Parity, Uncovered Interest Rate Parity, Borrowing Externalities and
Optimal Capital Controls, Overborrowing, Macroeconomic Adjustment under
Flexible and Fixed Exchange Rates, Twin Deficits, and Balance of
Payment Crises.
Aims to give the student a broad overview of the role of Operations Research in public policy. The specific areas covered include voting theory, apportionment, deployment of emergency units, location of hazardous facilities, health care, organ allocation, management of natural resources, energy policy, and aviation security. Draws on a variety techniques such as linear and integer programming, statistical and probabilistic methods, decision analysis, risk analysis, and analysis and control of dynamic systems.
Prerequisites: CHNS W4007 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
Students carry out a semester-long process or product design project. The project culminates with a formal written design report and a public presentation.
Management of complex projects and the tools that are available to assist managers with such projects. Topics include project selection, project teams and organizational issues, project monitoring and control, project risk management, project resource management, and managing multiple projects.
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.
Prerequisites: Third Year Modern Hebrew I or Hebrew for Heritage Speakers II Focus on transition from basic language towards authentic Hebrew, through reading of un-adapted literary and journalistic texts without vowels. Vocabulary building. Grammar is reviewed in context. A weekly hour is devoted to practice in conversation. Daily homework includes reading, short answers, short compositions, listening to web-casts, or giving short oral presentations via voice e-mail. Frequent vocabulary quizzes. No P/D/F or R credit is allowed for this class.
Prerequisites: one year of biology. This is a lecture course designed for advanced undergraduates and graduate students. The focus is on understanding at the molecular/biochemical level how genetic information is stored within the cell, how it is replicated and expressed, and how it is regulated. Topics covered include genome organization, DNA replication and repair, transcription, RNA processing, and translation. This course will also emphasize the critical analysis of the scientific literature and help students understand how to identify important biological problems and how to address them experimentally. SPS and TC students may register for this course, but they must first obtain the written permission of the instructor, by filling out a paper Registration Adjustment Form (Add/Drop form). The form can be downloaded at the URL below, but must be signed by the instructor and returned to the office of the registrar.
http://registrar.columbia.edu/sites/default/files/content/reg-adjustment.pdf
Prerequisites: advanced music major and extensive contemporary music background. Analysis of the modern repertory of contemporary music with directional emphasis on actual conducting preparation, beating patterns, rhythmic notational problems, irregular meters, communication, and transference of musical ideas. Topics will include theoretical writing on 20th-century conducting, orchestration, and phrasing.
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.
This seminar will explore the multidimensional interplay between collective memory, politics, and history in France since 1945. We will examine the process of memorializing key historical events and periods – the Vichy regime, the Algerian War, the slave trade – and the critical role they played in shaping and dividing French collective identity. This exploration will focus on multiple forms of narratives – official history, victims’ accounts, literary fiction – and will examine the tensions and contradictions that oppose them. The seminar will discuss the political uses of memory, the influence of commemorations on French collective identity, and the role played by contested monuments, statues and other “
lieux de mémoire
” (“sites of memory”). We will ask how these claims on historical consciousness play out in the legal space through an exploration of French “memorial laws”, which criminalize genocide denial and recognize slave trade as a crime against humanity. These reflections will pave the way to retracing the genesis of the “
devoir de mémoire
” (“duty to remember”), a notion that attempts to confer an ethical dimension to collective memory. The seminar will examine the multiple uses of the French injunction to remember – as a response to narratives of denial, as an act of justice towards the victims, and as an antidote to the recurrence of mass crimes and persecutions. We will examine how amnesty is used to reconcile conflicting collective memories and will evaluate the claim that the transmission
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.
MSBA students only. Groups of students will work on real world projects in analytics, focusing on three aspects: identifying client analytical requirements; assembling, cleaning, and organizing data; identifying and implementing analytical techniques (statistics, OR, machine learning); and delivering results in a client-friendly format. Each project has a well-defined goal, comes with sources of data preidentified, and has been structured so that it can be completed in one semester. Client-facing class with numerous on-site client visits; students should keep Fridays clear for this purpose.
Covers advancements in the fields of cellular and developmental biology, molecular biology and materials science towards the development of “tissue engineered” therapies. Emphasis on tissue engineering therapies applied to musculoskeletal tissues, such as bone, cartilage, and skeletal muscle, and nervous tissues (central and peripheral nervous system). Design considerations and concepts in market analysis examined.
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.
What is good sex? What, even, is sex? Who should be having it with whom, and when? Why does sex hurt sometimes? Why does it feel incredible, when it does? What makes sex healthy? Normal? Who says? How do they know? Why?
Across the past hundred and fifty years, time doctors, biologists, psychologists, feminists, phrenologists, and LGBTQ activists have spent lifetimes struggling over the answers to these questions and more. In this class, we will explore the growth and development of the field of sexology, its vast impact on U.S. and German life and its imbrications with structures of oppression and visions of (often imperfect) liberation. To do so, we will read a range of both primary and secondary sources from a variety of different schools and perspectives.
The attempt to scientifically study and define sex fundamentally reshaped both sex and science. It changed how everyday people lived their lives and helping give birth to new scientific disciplines. It also helped produce and police idea of normal, healthy sex, and provided evolutionary justifications for heterosexuality and patriarchy. The activist response – both in and outside of the field of sexology – helped build the modern feminist and LGBTQ movements and reshaped how everyday people made sex of sex, gender, and sexuality. Even if deeply flawed, sexology was also widely contentious, with major scholars having their books burned and banned in both the United States and Germany.
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.
“The possibility of pogroms,” claims Theodor Adorno, “is decided in the moment when the gaze of a fatally-wounded animal falls on a human being. The defiance with which he repels this gaze—’after all it's only an animal’—reappears irresistibly in cruelties done to human beings.” This course traces the development of Modern Hebrew literature, from its fin-de-siècle revival to contemporary Israeli fiction, through the prism of animality and animalization. We will focus on human-animal relations and animalization/dehumanization of humans in literary works by prominent Hebrew authors, including M.Y. Berdichevsky, Devorah Baron, S.Y. Agnon, Amos Oz, David Grossman, Orly Castel-Bloom, Almog Behar, Etgar Keret, and Sayed Kashua. Employing posthumanist and ecofeminist theoretical lenses, we will analyze the bio-political intersections of species and gender, as well as animalization as a process of otherization of marginalized ethnic groups. Throughout the course, we will ask questions, such as: why animals abound in Modern Hebrew literature? Are they merely metaphors for intra-human issues, or rather count as subjects? What literary devices are used to portray animals? How has the depiction of human-animal relations changed in Hebrew over the last 150 years? How do cultural and political frameworks inform representations of human-animal relations? No prior knowledge of Hebrew is required; all readings and class discussions will be in English. Course participants with reading knowledge of Hebrew are encouraged to consult the original literary texts, provided by the instructor upon request.
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.
Introduction to fundamental aspects of immunology and engineering strategies to modulate the immune system to improve human health. We will cover the innate and adaptive immune system and current methods to characterize the immune response. Applications focus on cancer, vaccines, and autoimmune disorders.
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.
This seminar explores the intersections between Ludwig Wittgenstein's philosophy and key developments in artificial intelligence. We will examine how Wittgenstein’s later philosophy challenges contemporary debates about the capabilities and limitations of machine intelligence. We will also learn how AI practitioners actively engage with Wittgenstein’s ideas, developing innovative methods in machine translation, semantic networks, or natural language processing (NLP) in general.
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.
Required for all graduate students in the Medical Physics Program. Practicing professionals and faculty in the field present selected topics in medical physics.
Design, fabrication, and application of micro-/nanostructured systems for cell engineering. Recognition and response of cells to spatial aspects of their extracellular environment. Focus on neural, cardiac, coculture, and stem cell systems. Molecular complexes at the nanoscale.
The course covers a general introduction to the theory and experimental techniques of structural biology (protein expression and purification, protein crystallography, cryo-electron microscopy, nuclear magnetic resonance) and then how to use the structural information to understand biochemical and biological processes. The first part of the course will cover the general introduction to structural biology. The second part of the course will involve discussions and explorations of various structures, led by the instructor but with substantial participation from the students, to understand the molecular mechanisms of selected biochemical and biological processes. In the final part of the course, each student will select and lead discussions on a primary structural biology paper. The overall goal of the course is to increase the understanding of how protein structures are determined, what protein structures look like, and how to use the structures to understand biology.
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.
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.
Statistical machine learning techniques and advanced mathematical concepts for analysis of high-dimensional biomedical data. Topics include optimal transport and probabilistic modeling for multi-modal genomic and imaging data integration and analysis of spatial and temporal dynamics. Programming assignments, problem sets, and a final project will be required.
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.
Fundamentals of nanobioscience and nanobiotechnology, scientific foundations, engineering principles, current and envisioned applications. Includes discussion of intermolecular forces and bonding, of kinetics and thermodynamics of self-assembly, of nanoscale transport processes arising from actions of biomolecular motors, computation and control in biomolecular systems, and of mitochondrium as an example of a nanoscale factory.
Topics include biomicroelectromechanical, microfluidic, and lab-on-a-chip systems in biomedical engineering, with a focus on cellular and molecular applications. Microfabrication techniques, biocompatibility, miniaturization of analytical and diagnostic devices, high-throughput cellular studies, microfabrication for tissue engineering, and in vivo devices.
What happens to a body stilled in space, when it takes a shape and holds it? How does its relationship to public space change? How is its transformation attenuated when the body is in formation with other bodies, a breathing still life of people and props? This performance art course will use the question of a body’s stillness as a platform to create interdisciplinary projects that exist between dance, sculpture, collaborative movement, and performance art. Through core readings and case study presentations, we will discuss unique possibilities of representation and challenges this form enables, and the prominent role it has been taking within the visual arts in recent years. Students will engage with a variety of aesthetic strategies and formal techniques such as movement workshops, sensory exercises, video, wearable sculptures, collaboration, scores, and group meditation. Studio work will focus on concrete intersections between the body and the object, and case studies chosen to encourage students to think of movement as a form of resistance, and to consider the political implication of collaborative work that unfolds over time. Performativity in the context of this class is widely defined, and no prior experience is required.
The course studies control strategies and their implementation in the discrete domain. Introduction with examples; review of continuous control and Laplace Transforms; review of continuous state-space representation and Solutions; review of difference equations, discretization in time and frequency, the WKS (aka Shannon) sampling theorem, windowing, filters, Transforms: Fourier series, Fourier transform, z-transform and their inverses; Ideal sampler, Sample-and-hold devices, zero, one, polygonal, and slewer hold; Transfer functions, block diagrams, and signal flow graphs for discrete systems; Discrete State-Space transformation, controllabililty, observability, and stability in the state-space domain. Discrete time and z domain analysis, steady state analysis, discrete-time root-locus, and pole-zero placement; Discrete Nyquist stability criterion, Bode plot, Gain and Phase Margin analysis, Nichols chart, bandwidth and sensitivity analysis; Design criteria, self-tuning regulator, Kalman filter, and simulation, followed by advanced stability analysis such as Lyapunov stability; Overview of the discrete Euler-Lagrange equations, discrete maximum and minimum principle, optimal linear discrete regulator design, optimality and dynamic programming.
Focus on capacity allocation, dynamic pricing and revenue management. Perishable and/or limited product and pricing implications. Applications to various industries including service, airlines, hotel, resource rentals, etc.
Additive manufacturing processes, CNC, Sheet cutting processes, Numerical control, Generative and algorithmic design. Social, economic, legal, and business implications. Course involves both theoretical exercises and a hands-on project.
Fundamentals of sustainable design and manufacturing, metrics of sustainability, analytical tools, principles of life cycle assessment, manufacturing tools, processes and systems energy assessment and minimization in manufacturing, sustainable manufacturing automation, sustainable manufacturing systems, remanufacturing, recycling and reuse.
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.
Introduction to industrial automation technologies. Recognizing, modeling and integration of industrial automation problems. Hands-on experiments with robots, computer vision, data management and programming. Sensors engineering and measurement tools; process control; automation hardware and software architectures; programmable logic controllers.
This course examines the transformation of natural environments, rural and urban landscapes on the Tibetan Plateau in the 20th and 21st centuries, with a special emphasis on the material and social lives of rivers, roads and infrastructure. We will draw on primary source readings (in English) and maps, as well as secondary readings in anthropology and human geography, to examine the processes of infrastructure creation, national integration, urbanization and adaptation in the Tibetan regions of China.
Prerequisites: the instructors permission; some basic knowledge of social psychology is desirable. A comprehensive examination of how culture and diversity shape psychological processes. The class will explore psychological and political underpinnings of culture and diversity, emphasizing social psychological approaches. Topics include culture and self, cuture and social cognition, group and identity formation, science of diversity, stereotyping, prejudice, and gender. Applications to real-world phenomena discussed.
This is a third year (or sixth semester) course in the Hindi-Urdu program that aims to continue building upon the existing listening, speaking, reading, writing and cultural skills in Hindi and Urdu. Students will be exposed to a variety of authentic materials, such as stories, plays, newspapers, magazines, videos and film clips. They will be expected to expand their vocabulary, enhance their grammatical accuracy and develop their cultural appropriateness through their enthusiastic participation in classroom activities and immersing themselves in the speech community outside.
The objective of the course is to promote meaningful interaction with literary texts and to strengthen students’ language skills to understand and describe situations and people in diverse academic settings of modern Hindi. Writing in the target language will be emphasized throughout the semester to enable students to use their diverse vocabulary and grammatical structures. The students will gain better understanding of the craft of creative writing in Hindi as the writers explore the innermost sentiments and compulsions of their characters to make us wonder about life, language and emotions, all in conjunction with each other.
Self-contained treatments of selected topics in soft materials (e.g. polymers, colloids, amphiphiles, liquid crystals, glasses, powders). Topics and instructor may change from year to year. Intended for junior/senior level undergraduates and graduate students in engineering and the physical sciences.
In lieu of the failure of legislatures to pass comprehensive carbon taxes, there is growing pressure on the financial system to address the risks of global warming. One set of pressures is to account for the heightened physical risks due to extreme weather events and potential climate tipping points. Another set of pressures are to find approaches to incentivize corporations to meet the goals set out in the Paris Treaty of 2015. These approaches include (1) mandates or restrictions to only hold companies with decarbonization plans, (2) development of negative emissions technologies such as direct-air capture and (3) promotion of natural capital markets that can be used to offset carbon emissions. Moreover, financial markets also provide crucial information on expectations and plans of economic agents regarding climate change. This course will cover both models and empirical methodologies that are necessary to assess the role of the financial system in addressing global warming.
This course will explore major themes in the growing field of Sound Studies with a focus on the rich history of sound and varied cultures of sound and listening in the Indian subcontinent. The main questions that we will address include: how have political, commercial, and cultural movements shaped
what
the diverse populations of South Asia listen to and
how
they listen? How have different forms of media shaped/ informed listening experiences in South Asia? How do listening practices and cultures from the subcontinent differ from those in other regions? In this class we will listen to the human voice, rumor/gossip, gramophone, loud speakers, radio, film, and mp3. We will discuss the role political speeches, film songs, and devotional songs in shaping South Asian politics and culture in the twentieth-century as the subcontinent transitioned from colonial rule to nation-states. Drawing on the interdisciplinary nature of Sound Studies, we will read works from across the disciplines—anthropology, ethnomusicology, Religious Studies, Media Studies, and history. Organized thematically, this course will focus on the twentieth century, but the readings will address earlier time periods.
This is an upper-level undergraduate and graduate (MA) seminar. Students are expected to have some background in South Asian studies/history or media/sounds studies. The class will meet once a week for discussion of readings. In addition to readings there will be a several required film screenings or listening activities.
Recording Studio Sessions places students in weekly recording sessions with guest bands and music ensembles. The course aims to give students as much hands-on recording studio experience as possible, with the end goal of developing studio skills that lead to the production of professional-level audio materials. Students explore a wide range of studio experiences, from learning both digital and analog workflows to handling varied musical groups, so that, following the course, they may either pursue further study in upper-level sound engineering programs, find work in professional studios, or simply gain a more profound understanding of the studio environment for their own creative work.
Two semesters of prior coursework in Urdu for Heritage Speakers (Urdu for Heritage Speakers I and II) or one semester of Advanced Urdu or the instructor’s permission. This course is a literary course, with in-depth exposure to some of the finest works of classical and modern Urdu poetry i.e. genres of
ghazal
and
nazm
. This course is open for both undergraduates and graduates. No P/D/F or R credit is allowed for this class.
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.
This course focuses on how to identify, evaluate, and capture business analytic opportunities that create value. The course covers basic analytic methods alongside case studies on organizations that successfully deployed these techniques. The first part of the course is on using data to develop insights and predictive capabilities with machine learning techniques. The second part focuses on the use of A/B testing, causal inference, ethics, and optimization to support decision-making.
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.
This course will explore recent histories of post-independence India, focusing on the first three decades of independence (1947-1977) following the end of British colonial rule. Until rather recently, most histories of South Asia concluded with independence, casting, perhaps unconsciously, the end of British rule as the end of history in the region. However, in recent years, we have witnessed a boom of historical writing on post-independence India. In this class, we will analyze this emerging scholarship and focus on the themes of democracy and majoritarianism. We will read about the establishment of universal franchise in 1950s India, the writing and implementation of the constitution, and the country’s experiments with various economic plans. At the same time, we will study the Indian state’s often violent integration of regions originally outside Britain’s direct domain, including the princely states of Kashmir and Hyderabad, and the development of what scholars have described as new forms of colonialism in the region after 1947. Likewise
,
we will study the growth of majoritarian ideologies and the continued struggle against caste oppression, all while considering India’s place in the larger Cold War. Throughout the class, we will remain attendant to aesthetic developments in media and literature during this period. While the course focuses on India—or more specifically on various communities’ interactions with the Indian state—we will also study developments in Pakistan (and Bangladesh after 1971) and other neighboring states, recognizing that their shared histories did not end with Partition.
Course is aimed at senior undergraduate and graduate students. Introduces fundamental concepts of Bayesian data analysis as applied to chemical engineering problems. Covers basic elements of probability theory, parameter estimation, model selection, and experimental design. Advanced topics such as nonparametric estimation and Markov chain Monte Carlo (MEME) techniques are introduced. Example problems and case studies drawn from chemical engineering practice are used to highlight the practical relevance of the material. Theory reduced to practice through programming in Mathematica. Course grade based on midterm and final exams, biweekly homework assignments, and final team project.
Geographic information systems (GIS) are powerful tools for analyzing fundamental geographic questions. GIS involves generating, linking, manipulating, and analyzing different sorts of spatial data; creating outputs commonly visualized as two- and sometimes three- dimensional maps. This course will cover major topics in GIS with applications for the broad field of biology and natural sciences, using QGIS and R. The goal of this course is to teach students a level of GIS proficiency such that they will be self-sufficient in their further learning and use of GIS.
Prerequisites: the instructors permission. Comparison of major theoretical perspectives on social behavior. The nature of theory construction and theory testing in psychology generally. Exercises comparing the predictions of different theories for the same study are designed to acquire an appreciation of how to operationalize theories and an understanding of the various features of a good theory.
Sustainable water supply, essential for life, is complex and challenging, particularly in the context of climate change. Changing climate affects the availability and quality of water globally. In turn, human use of water produces greenhouse gasses (GHGs) that further exacerbate climate change. Spanning global and individual scale, this course will examine changing interactions of climate and water, implications for human water supply, and steps toward greater sustainability.
Part 1
of the course establishes baseline understanding of natural and human water systems in the context of climate change. What it takes to transform water from its source to “fit-for-purpose” water for domestic, commercial, industrial, and agricultural uses will be examined. The implications of climate change for water systems and the impacts of water development on climate change will also be assessed. The growing challenges of water security, water quality, and water affordability/accessibility will be considered, along with institutional models for water delivery.
Part 2
will delve into pathways toward more sustainable water supplies, with emphasis on safe and affordable drinking water. Means of adaptation and resilience will be explored, from evolving human uses to optimizing water storage and delivery. Throughout Part 2, case studies will bring concepts to reality, engaging students in further exploring strategies and actions to address crucial issues for water sustainability. Practicing leaders from the water field will bring real-world perspectives as guest speakers, sharing direct experience with a specific problem, and engaging with the class in a broader discussion of the issues, led by the instructor.
Life as a trans person can feel like an unrelenting cacophony of hammers. Around the world, fascist
parties and paramilitaries have set their sights on transgender people and through a torrent of
accusations of crime and depravity all but authorized violence against trans people. Through
explorations of trans* history and social movements in the United States, Turkey, India, and Pakistan
(and to a lesser extent Argentina), this course will provide a space to both understand the global
anti-gender and anti-trans panic and to relate ourselves to the strategies that trans people have used
to both survive and the demands that they have made for structural change and liberation. The goal
of this course will be to provide a space of critical study and a site of learning to be in community as
well as to equip you with both the knowledge and capacity to understand and intervene in
contemporary trans panics wherever you encounter them. Assignments will be a combination of
collaborative skill-building, self-reflections, and analyses of the tactics and strategies employed by
social movements.
This course will offer an examination of the birth and development of the Franciscan Order between 1200-1350. The topics will include Francis of Assisi, the foundation of the three orders of Franciscans, education, poverty, preaching, theology internal strife, antifraternalism, and relations with secular governments and papacy.
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.
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.
Digital communications for both point-to-point and switched applications is further developed. Optimum receiver structures and transmitter signal shaping for both binary and M-ary signal transmission. An introduction to block codes and convolutional codes, with application to space communications.
This course will cover research methods and research design in political science. We will focus on concrete and practical issues of conducting research: picking a topic, generating hypotheses, case selection, measurement issues, designing and conducting experiments, interviews, field work, archival research, coding data and working with data sets, combining quantitative and qualitative methods, etc. The course is designed for several audiences, including: (1) PhD students in Political Science, (2) MAO students undertaking a major research project, and (3) advanced undergrads contemplating an honors thesis, or another major research project.
This graduate course is only for M.S. Program in Financial Engineering students. Multivariate random number generation, bootstrapping, Monte Carlo simulation, efficiency improvement techniques. Simulation output analysis, Markov-chain Monte Carlo. Applications to financial engineering. Introduction to financial engineering simulation software and exposure to modeling with real financial data. Note: Students who have taken IEOR E4404 Simulation may not register for this course for credit.
Computational approaches to the analysis, understanding, and generation of natural language text at scale. Emphasis on machine learning techniques for NLP, including deep learning and large language models. Applications may include information extraction, sentiment analysis, question answering, summarization, machine translation, and conversational AI. Discussion of datasets, benchmarking and evaluation, interpretability, and ethical considerations.
Due to significant overlap in content, only one of COMS 4705 or Barnard COMS 3705BC may be taken for credit.
This graduate course is only for MS program in FE students. Modeling, analysis, and computation of derivative securities. Applications of stochastic calculus and stochastic differential equations. Numerical techniques: finite-difference, binomial method, and Monte Carlo.
This graduate course is only for M.S. Program in Financial Engineering students. Empirical analysis of asset prices: heavy tails, test of the predictability of stock returns. Financial time series: ARMA, stochastic volatility, and GARCH models. Regression models: linear regression and test of CAPM, non-linear regression and fitting of term structures.
Principles of Ethical Artificial Intelligence across technical and societal dimensions. Combines technical AI and machine learning implementations and ethical analysis. Students will learn to build, audit, and mitigate ethical risks in AI systems using tools like fairness libraries, explainability frameworks, and privacy-preserving techniques. Emphasizes coding, algorithmic critique, and real-world cases.
Topics include: foundations of AI ethics, fairness, interpretability, explainability, accountability, privacy, robustness, alignment, safety, and societal benefit.
Assessments include coding projects, bias auditing assignments, and ethical analysis papers.
Prerequisites: (Econ UN3211) and (ECON UN3213) and (STAT UN1201) This course uses economic theory and empirical evidence to study the links between financial markets and the real economy. We will consider questions such as: What is the welfare role of finance? How do financial markets affect consumers and firms? How do shocks to the financial system transmit to the real economy? How do financial markets impact inequality?
While helping students advance their levels of oral and written expression, this course focuses on literature of the modern and medieval periods, with particular emphasis on the development of the modern novella and traditional and new forms of poetry. In addition to literature, students are introduced to a wide variety of genres from political and cultural essays and blogs to newspaper translations of the early 20th century. They will be further exposed to ta?rof in reference to a wide variety of socio-cultural contexts and be expected to use ta?rof in class conversations. Students will be exposed to popular artists and their works and satirical websites for insight into contemporary Iranian culture and politics. No P/D/F or R credit is allowed for this class.
Prerequisites: POLS W4710 or the equivalent.
This course will
intensively
examine some of the data analysis methods which deal with problems occurring in the use of multiple regression analysis. It will stress computer applications and cover, as needed, data coding and data processing. Emphasis will also be placed on research design and
writing research reports
.
The course assumes that students are familiar with basic statistics, inference, and multiple regression analysis and have analyzed data using computer software (e.g., any standard statistical programs on micro-computers or larger machines -- Stata, “R”, SPSS, SAS, etc.). Students will be instructed on the use of the microcomputers and the R and Stata statistical software program(s) available as freeware (R) or in the CUIT computer labs (Stata; several campus locations) or through SIPA. The lectures and required discussion section will emphasize the use of “R.” Students may use whatever computer programs they prefer for all data analysis for the course. There may be an
additional fee
for classroom instructional materials.
This is the required discussion section for
POLS GU4712.
“Imag(in)ing the Ottoman Empire: A visual history, 18th-20th centuries” is an undergraduate/graduate seminar focusing on visual representations of the Ottoman Empire during the last two centuries of its existence, from the early eighteenth to the early twentieth century. The objective is to study the development of visual representations both
by
and
about
the Empire, from Ottoman miniatures to early European paintings, and from the surge of Western illustrated magazines to the local uses of photography. The seminar’s chronological thread will be complemented by a thematic structure designed to explore different aspects and influences concerning the production and diffusion of images: curiosity, documentation, exoticism, propaganda, orientalism, modernity, self-fashioning, eroticism, policing, to name just a few.
During the past 15 years the behavior of market options prices have shown systematic deviations from the classic Black-Scholes model. Examines the empirical behavior of implied volatilities, in particular the volatility smile that now characterizes most markets, the mathematics and intuition behind new models that can account for the smile, and their consequences for hedging and valuation.
In the first half of this course we will read the major works of Freud that make up his “metapsychology.” Metapsychology is psychoanalysis’ “speculative superstructure,” the most philosophical part of psychoanalytic theory, providing a broad theoretical “standpoint” on the mind that is both informed by and guides both empirical research and clinical practice. Freud articulated four metapsychologies (dynamic, economic, topographical, and structural). The aim will be to read Freud somewhat as we read, for example, Aristotle’s or Kant’s or Nietzsche’s moral psychology. What are the basic theoretical posits? What are these claims based on? From what perspective (first-personal or third-personal) are these claims made? How does Freud’s picture advance our own practical self-understanding? Etc.
In the second half of the course we will read some major responses to Freud in the context of philosophical moral psychology. So we will read some critical theorists, some engagements with psychoanalytic theory regarding gender and race, and some contemporary analytic philosophers.