PHOTO BOOK

This class has no prerequisites, however those who have taken Intro Darkroom or Intro Digital will find additional linkages. You will have access to Adobe Creative Cloud, Printing, and Camera equipment during the semester. Your final project will be exhibited at the End of Semester Visual Arts Show.

 

This course will explore the photobook as a central medium of contemporary lens-based practice. Students are exposed to a variety of approaches and viewpoints through historical lectures, class trips, and presentations by guest photographers, curators, critics, editors, graphic designers, etc. Each student will propose, develop, and produce editioned books during this course. Over the last decade, a significant change in the circulation of the photographic image has been the rise of the “photo book” as designed art object. Artists such as Dayanita Singh in India, publishers such as Steidl and Taschen, organizations such as Penumbra and Aperture, and events such as Paris Photo and NY Art Book Fair have all entered this vibrant space. At the same time, novelists such as Teju Cole and photographers such as Gauri Gill produce books that weave text and image in a new way. This course requires reading, research, photography, and book design culminating in an end of semester show.

• Department: Visual Arts
• Instructor: Delphine A Fawundu
  Wikipedia Info
• 3 points

NATURAL LANGUAGE PROCESSING

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.

• Department: Computer Science
• Instructor: John Hewitt
  Info
• Instructor: Andrei A Simion
  Info
• 3 points

FOUNDATIONS FR FINANCIAL ENGIN

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.

• Department: Industrial Engineering and Operations Research
• Instructor: Wenpin Tang
  h-index: 6 Info
• 3 points

RAD INSTRUMENT/MEASUREMENT LAB

Lab fee: $50. Theory and use of alpha, beta, gamma, and X-ray detectors and associated electronics for counting, energy spectroscopy, and dosimetry; radiation safety; counting statistics and error propagation; mechanisms of radiation emission and interaction. (Topic coverage may be revised.)

• Department: Applied Physics and Applied Mathematics
• 3 points

ADVANCED PERSIAN I

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.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Saeed Honarmand
  Info
• 3 points

MORPHOGENESIS:BIOL MAT SHP/STR

Introduction to how shape and structure are generated in biological materials using engineering approach emphasizing application of fundamental physical concepts to a diverse set of problems. Mechanisms of pattern formation, self-assembly, and self-organization in biological materials, including intracellular structures, cells, tissues, and developing embryos. Structure, mechanical properties, and dynamic behavior of these materials. Discussion of experimental approaches and modeling. Course uses textbook materials as well as collection of research papers.

• Department: Mechanical Engineering
• R 1:10 p.m.-3:40 p.m.
• 3 points

PRINC OF QUANT POL RESEARCH 1

This course examines the basic methods of data analysis and statistics, through multivariate regression analysis, that political scientists use in quantitative research that attempts to make causal inferences about how the political world works. The same methods apply to other kinds of problems about cause and effect relationships more generally. The course will provide students with extensive experience in analyzing data and in writing (and thus reading) research papers about testable theories and hypotheses.

• Department: Political Science
• Instructor: Robert Y Shapiro
  CULPA: 4 Wikipedia Info
• 4 points

GLOBAL CAPITAL MARKETS

An introduction to capital markets and investments providing an overview of financial markets and tools for asset valuation. Topics covered include the pricing of fixed-income securities (treasury markets, interest rate swaps futures, etc.), discussions on topics in credit, foreign exchange, sovereign ad securitized markets—private equity and hedge funds, etc.

• Department: Industrial Engineering and Operations Research
• Instructor: Siddhartha Ghosh Dastidar
  CULPA: 2 Info
• 3 points

PRINC OF QUANT POL RESEARCH 1-DISC

PRINC OF QUANT POL RES 1-

This is the required discussion section for 
POLS GU4710.

• Department: Political Science
• 0 points

ORIENTALISM/HIST OF OTHER

This course will examine some of the problems inherent in Western historical writing on non-European cultures, as well as broad questions of what itmeans to write history across cultures. The course will touch on therelationship between knowledge and power, given that much of the knowledge we will be considering was produced at a time of the expansion of Western power over the rest of the world. By comparing some of the others which European historians constructed in the different non-western societies they depicted, and the ways other societies dealt with alterity and self, we may be able to derive a better sense of how the Western sense of self was constructed. Group(s): C Field(s): ME

• Department: History
• Instructor: Marwa Elshakry
  CULPA: 2 Info
• 4 points

Topics in Moral Psychology

Intensive study of a particular topic in Moral Psychology.

• Department: Philosophy @Barnard
• Instructor: Francey Russell
  CULPA: 2 Info
• 3 points

Machine Learning for Signals, Informatio

ML FOR SIG, INF

• Department: Electrical Engineering
• Instructor: John W Paisley
  CULPA: 1 Info
• 3 points

QUANT METH 1 APPL REG CAUS INF

Fitting and understanding linear regression and generalized linear models, simulation, causal inference, and the basics of design of quantitative studies. Computation in R. Textbook: Regression and Other Stories by Gelman, Hill, and Vehtari.

• Department: Political Science
• Instructor: Andrew Gelman
  CULPA: 6 Wikipedia h-index: 112 Info
• 4 points

QUANTITATIVE METHODS 1 DISCUSSION

QUANT METH 1 DISCUSSION

This is the required discussion section for 
POLS GU4720.

• Department: Political Science
• 0 points

Medieval Art, Craft, Science

This bridge seminar investigates the history of science through the study of artworks and monuments and the materials and techniques of their manufacture. Because the course’s method hinges on the marriage of theory and practice, in addition to discussions in the seminar room, several sessions will take the form of workshops with artisans and conservators (e.g. stonemasons, illuminators, gardeners), or “laboratory meetings” where students will conduct their own hands-on experiments with materials as part of Professor Pamela Smith’s
Making and Knowing
Project. Topics to be explored include but are not limited to: metallurgy and cosmogeny, paint pigments and pharmacology, microarchitecture and agriculture, masonry and geology, manuscripts and husbandry, and gynecology and Mariology. Discussion and lab experiments enhanced thanks to the service and experience of Naomi Rosenkranz, Associate Director, The Center for Science and Society, The Making and Knowing Project.

• Department: Art History and Archaeology
• Instructor: Gregory Bryda
  CULPA: 7 h-index: 1 Info
• 4 points

TOPICS IN QUANTATIVE FINANCE

FINANCIAL ENG. FOR ESG FINANCE

ESG (Environmental, Social and Corporate Governance) Finance is a rapidly growing area of Investment Management – and Finance more broadly – that has received a lot of attention in the past several years from the investor community, financial regulatory agencies, and the general public alike. This course provides an introduction to ESG Finance from a financial engineer’s perspective. This course also discusses proliferation of newly available data sources and the associated quantitative techniques necessary to process those. A major component of this course is a discussion of Climate Risk, an area of particular focus due to its increasing general importance. The course includes an overview of both recent research and the evolving regulatory landscape in the climate risk space. An in-depth discussion of financial impact assessment of various climate risk-driven scenarios (climate risk stress testing) concludes the course.

• Department: Industrial Engineering and Operations Research
• Instructor: Cyril Shmatov
  Info
• 1.5 points

QUANT METH 3 EXPERIMENTAL METH

In this course, we will discuss the logic of experimentation, its strengths and weaknesses compared to other methodologies, and the ways in which experimentation has been — and could be — used to investigate social phenomena. Students will learn how to interpret, design, and execute experiments. Special attention will be devoted to field experiments, or randomized trials conducted in real-world settings.
 

Prerequisites: Students should have taken at least one or two semesters of statistics. Some understanding of probability, hypothesis testing, and regression are assumed. Familiarity with statistical software such as R is helpful. We will be working with data in class throughout the term. The examples used in the textbook and lectures are written in R, and R tutorials will be taught in special sessions early in the term.

• Department: Political Science
• Instructor: Donald P Green
  CULPA: 2 h-index: 87 Info
• 4 points

Global Latin America

Within the Global North social-science mainstream, Latin America (like other parts of the Global South) has often been conceptualized as a region of analytical interest due to its complex
internal
dynamics (relating, for example, to recurring authoritarian rule, democratization, transitional justice, “modernization” and economic development, and social mobilization). Yet until recently, these have infrequently been conceptualized as
global
processes in which Latin America plays a substantive role. To be sure, various
external
forces—namely, colonialism, imperialism, interventionism, and their legacies—are of course widely understood to have shaped Latin American in myriad ways. However, the notions that Latin America exercises agency (or at least matters) in world affairs, is more than a generally passive recipient of global flows, and is meaningfully connected to other regions (including through migratory, political, economic, and cultural linkages), have only recently begun to resonate within the Northern academy.   

In contrast to the “methodological nationalism” (or “regionalism”) that has long characterized outside analysis of Latin America, this course foregrounds the region’s global embeddedness and world-making potential—as a protagonist in the generation, adaptation, and diffusion of diverse border-crossing flows, frameworks, and imaginaries. These include: global discourses concerning modernity, postmodernity, liberalism, and postcolonialism; global understandings of race, class, gender, and the intersections between them; global policy frameworks related to human rights, democracy, and economic development; historical and contemporary globalizing relations with distant parts of the world, including the Middle East and Asia; and global alternatives to a world order based on exclusion, extractivism, and environmental degradation.     

Throughout, we will highlight the agency of state and non-state actors throughout “Latin America”—itself a homogenizing, Eurocentric label imposed from the outside—as constitutive forces in creating the world that we all inhabit, contributing to the problems that confront us, and helping to generate solutions. To do so, we will engage with a series of texts and materials produced by diversely situated interdisciplinary scholars, writers, artists, and political figures—many of them based in Latin America, an

• Department: Committee on Global Thought
• Instructor: Kevin Funk
  h-index: 6 Info
• 4 points

Therapeutic Systems Design: Biomolecules

Povides a unique opportunity to explore the intersection of immunology and engineering, focusing on how these fields come together to drive innovations in biotechnology. Students will gain an understanding of the immune system and its components, along with emerging technologies in immunoengineering, such as vaccine design, immunotherapies, and advanced drug delivery systems. In addition to covering principles of modern molecular and cellular biology, the course emphasizes the practical application of engineering skills to analyze the immune system and create new therapeutic tools. Designed to prepare students for multidisciplinary collaboration, the course equips future engineers with the knowledge and skills needed to develop cutting-edge solutions in immunotherapy and beyond.

• Department: Chemical Engineering
• Instructor: Asher Williams
  Info
• 3 points

QUANTITATIVE METHODS 3: DISCUSSION

QUANT METH 3-DISC

This is the required discussion section for 
POLS GU4724.

• Department: Political Science
• 0 points

Deep Learning for Data Science

DEEP LEARNING FOR DS

Introductory course in deep learning covering core architectures (perceptrons, MLPs, CNNs, U-Nets, RNNs, transformers), training methods (supervised/adversarial loss, autoencoders, diffusion, RL), and key topics (regularization, optimization); includes hands-on implementation in PyTorch with coding, experiments, and paper reviews; students learn to design, build, train, and evaluate deep networks and engage with current research.

• Department: Computer Science
• 3 points

American Transcendentalism

The class is an intensive reading of the prose and poetry of Emerson, Thoreau, Whitman, Higginson and Emily Dickinson. Through detailed analysis of Emerson’s
Essays
we will try to understand his philosophy as an effort to radically reformulate traditional concepts of identity, thinking, and everyday living, and investigate the politics that guided his philosophical efforts, especially his stance on slavery and his activism against the Cherokee removals. But we will also be interested in his thinking on dreams, visions and mental transports and in order to ask how those experiences come to model his understanding of personal identity and bodily integrity. In Thoreau, we will look closely into ideas about the art of living and his theory of architecture, as well as quotidian practices of dwelling, eating or cooking, as ways to come to terms with one’s own life. We will pay special attention to Thoreau’s understanding of thinking as walking, as well as the question of space vs. time and we will spend a lot of time figuring his theory of living as mourning. With Whitman we will attend to his new poetics and investigate its relation to forms of American Democracy. We will also want to know how the Civil War affected Whitman’s poetics both in terms of its formal strategies and its content. Finally, we will try to understand how ideas and values of transcendentalist philosophy fashion poetry of Emily Dickinson both in its form and its content. We will thus be looking at Dickinson’s famous fascicles but also into such questions as loss, avian and vegetal life and the experience of the embodied more generally.

• Department: English and Comparative Literature
• Instructor: Branka Arsic
  CULPA: 3 Wikipedia Info
• 4 points

TOPICS IN QUANTITATIVE FINANCE

ALTERNATIVE INVESTMENTS

The search for better performance has led investors to explore Alternative Investments that are outside the traditional categories of exchange traded equities, Treasury Bonds, and other
investment-grade fixed income products. The field of Alternative Investments covers a wide range of products such as convertible bonds, Preferred Shares, Hedge Funds, Venture Capital, and
Cryptocurrencies. There is a growing need in the market for students with knowledge of these products and the practical and theoretical know how of valuing and risk managing these investments given that each product has it own nuances and anomalies. This course presents and studies some major Alternative Investment products and ways to evaluate and risk manage them.

• Department: Industrial Engineering and Operations Research
• Instructor: Khosrow Dehnad
  CULPA: 2 Info
• 1.5 points

Machine Learning & AI for the Social Sci

Machine Learning & AI Soc

This course serves as a modern, applied introduction to machine learning. Students will learn how to evaluate machine learning models and learn specific methods in supervised and unsupervised learning, including regression, ensembles, and neural networks. Other frontier topics with social science relevance will be presented. Topics will be of interest to researchers who are interested in prediction, causal inference, text analysis, and more. Students may use Python, R, or any coding
language that requires only free software. Lectures and lecture notes will only include Python. Students should have prior experience with regression models, be comfortable with matrix algebra notation, and have experience with basic coding (R or Python, ideally).

Learning goals:
• Understand common machine learning models and be able to implement them.
• Gain familiarity with the use of machine learning models in modern social science research.
• Be able to identify research settings where different models might be appropriate.
• Be able to read and interpret technical research papers, extracting the key methodological
choices, assumptions, and results.

• Department: Political Science
• Instructor: Alexander Clark
  Info
• 4 points

Machine Learning & AI for Social Science

Mach Lrng & AI for Soc Sc

Discussion section for POLS GU4728

• Department: Political Science
• 0 points

Science and Technology in Chinese Media

Science& Tech in Chinese

Covering a period from the late 19th century to the present, this class explores how ideas and practices in science and technology have historically entered popular imagination, social organization and political contestation, as they become mediated by various media forms and technologies such as photography, cinema, novels, television, video, internet platforms and data algorithms. In particular, we focus on how science and technology have shaped our understandings of the human body, and impacted on the various bodily experiences, from perception, cognition, to emotion and connection with others in the environment. This class helps students read media artefacts in a historically grounded and conceptually generative way, understanding media artefacts as historically conditioned, yet offering us resources for envisioning the future.

• Department: East Asian Languages and Cultures
• Instructor: Ying Qian
  CULPA: 2 Info
• 4 points

Computer Vision I: First Principles

Introductory course in computer vision. Topics include image formation and optics, image sensing, binary images, image processing and filtering, edge extraction and boundary detection, region growing and segmentation, pattern classification methods, brightness and reflectance, shape from shading and photometric stereo, texture, binocular stereo, optical flow and motion, 2D and 3D object representation, object recognition, vision systems and applications.

• Department: Computer Science
• Instructor: Shree K Nayar
  CULPA: 12 Wikipedia Info
• 3 points

RESEARCH TOPICS IN GAME THEORY

Prerequisites: POLS W4730 or the instructors permission. Advanced topics in game theory will cover the study of repeated games, games of incomplete information and principal-agent models with applications in the fields of voting, bargaining, lobbying and violent conflict. Results from the study of social choice theory, mechanism design and auction theory will also be treated. The course will concentrate on mathematical techniques for constructing and solving games. Students will be required to develop a topic relating political science and game theory and to write a formal research paper.

• Department: Political Science
• Instructor: Carlo Prato
  h-index: 11 Info
• 4 points

COMPUTATIONAL ASPECTS OF ROBOTICS

COMPUTATNL ASPECTS OF ROB

Introduction to fundamental problems and algorithms in robotics. Topics include configuration spaces, motion and sensor models, search and sampling-based planning, state estimation, localization and mapping, perception, and learning.

• Department: Computer Science
• Instructor: Yunzhu Li
  Info
• 3 points

TOPICS GAME THEORY - DISC

• Department: Political Science
• 0 points

FOR EXCH/RELATD DERIVATVS INST

Foreign exchange market and its related derivative instruments—the latter being forward contracts, futures, options, and exotic options. What is unusual about foreign exchange is that although it can rightfully claim to be the largest of all financial markets, it remains an area where very few have any meaningful experience. Virtually everyone has traded stocks, bonds, and mutual funds. Comparatively few individuals have ever traded foreign exchange. In part that is because foreign exchange is an interbank market. Ironically the foreign exchange markets may be the best place to trade derivatives and to invent new derivatives—given the massive two-way flow of trading that goes through bank dealing rooms virtually 24 hours a day. And most of that is transacted at razor-thin margins, at least comparatively speaking, a fact that makes the foreign exchange market an ideal platform for derivatives. The emphasis is on familiarizing the student with the nature of the foreign exchange market and those factors that make it special among financial markets, enabling the student to gain a deeper understanding of the related market for derivatives on foreign exchange.

• Department: Industrial Engineering and Operations Research
• Instructor: David Derosa
  CULPA: 4 h-index: 9 Info
• 1.5 points

STRUCTURED&HYBRID PRODUCTS

Conceptual and practical understanding of structured and hybrid products from the standpoint of relevant risk factors, design goals and characteristics, pricing, hedging, and risk management. Detailed analysis of the underlying cash-flows, embedded derivative instruments, and various structural features of these transactions, both from the investor and issuer perspectives, and analysis of the impact of the prevailing market conditions and parameters on their pricing and risk characteristics. Numerical methods for valuing and managing risk of structured/hybrid products and their embedded derivatives and their application to equity, interest rates, commodities and currencies, inflation, and credit-related products. Conceptual and mathematical principles underlying these techniques, and practical issues that arise in their implementations in Python and other programming environments. Special contractual provisions encountered in structured and hybrid transactions, and incorporation of yield curves, volatility smile, and other features of the underlying processes into pricing and implementation framework for these products.

• Department: Industrial Engineering and Operations Research
• Instructor: Alireza Javaheri
  Info
• 3 points

Programming for Financial Engineering

Covers C++ programming language, applications, and features for financial engineering, and quantitative finance applications. Note: restricted to IEOR MS FE students only.

• Department: Industrial Engineering and Operations Research
• Instructor: Sebastien Donadio
  Info
• 3 points

Deep Learning for OR and FE

Selected topics of interest in area of quantitative finance. Some topics include energy derivatives, experimental finance, foreign exchange and related derivative instruments, inflation derivatives, hedge fund management, modeling equity derivatives in Java, mortgage-backed securities, numerical solutions of partial differential equations, quantitative portfolio management, risk management, trade and technology in financial markets. Note: open to IEOR students only.

• Department: Industrial Engineering and Operations Research
• Instructor: Ali Hirsa
  h-index: 8 Info
• 3 points

Applied Financial Risk Management

Applied Financial Risk Mg

Introduces risk management principles, practical implementation and applications, standard market, liquidity, and credit risk measurement techniques, and their drawbacks and limitations. Note: restricted to IEOR students only.

• Department: Industrial Engineering and Operations Research
• Instructor: Allan M Malz
  CULPA: 1 Info
• 3 points

SOUND AND HEARING

Introductory acoustics, basics of waves and discrete mechanical systems. The mechanics of hearing - how sound is transmitted through the external and middle ear to the inner ear, and the mechanical processing of sound within the inner ear.

• Department: Biomedical Engineering
• Instructor: Elizabeth Olson
  h-index: 28 Info
• 3 points

Heterogeneous Computing for Signal and D

HETEROGENEOUS COMPUTING

Methods for deploying signal and data processing algorithms on contemporary general purpose graphics processing units (GPGPUs) and heterogeneous computing infrastructures. Using programming languages such as OpenCL and CUDA for computational speedup in audio, image and video processing and computational data analysis. Significant design project.

• Department: Electrical Engineering
• Instructor: Zoran Kostic
  CULPA: 1 h-index: 24 Info
• 3 points

Machine Learning for Functional Genomics

ML for Functional Genomic

This course will introduce modern probabilistic machine learning methods using applications in data analysis tasks from functional genomics, where massively-parallel sequencing is used  to measure the state of cells: e.g. what genes are being expressed, what regions of DNA (“chromatin”) are active (“open”) or bound by specific proteins.

• Department: Computer Science
• Instructor: David A Knowles
  h-index: 35 Info
• 3 points

POLITICS IN THE LAB

The purpose of this course is to give students the chance to write an original research paper applying the methodology of lab experiments to political science questions. Experiments have become a standard tool in testing and refining theories, but designing and interpreting economic experiments requires care and practice.

• Department: Political Science
• Instructor: Alessandra Casella
  CULPA: 8 Wikipedia h-index: 30 Info
• 4 points

Artificial Intelligence of Things (AIoT)

IoT - INTELLIG & CONNECTED SYS

Artificial Intelligence of Things (AIoT), Internet of Things (IoT), and Cyber-Physical Systems (CPS). Embedded and mobile platforms. Embedded programming. Sensors, actuators, and interfaces. Wireless networking, web services, and databases. Edge and cloud computing. Large language models (LLMs) for AIoT. Time-series data visualization and analytics. Group projects to build end-to-end AIoT systems and applications.

• Department: Electrical Engineering
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• 3 points

MACHINE LEARNING

Basic statistical principles and algorithmic paradigms of supervised machine learning.

Prerequisites: 
Multivariable calculus (e.g. MATH1201 or MATH1205 or APMA2000), linear algebra (e.g. COMS3251 or MATH2010 or MATH2015), probability (e.g. STAT1201 or STAT4001 or IEOR3658 or MATH2015), discrete math (COMS3203), and general mathematical maturity. Programming and algorithm analysis (e.g. COMS 3134). COMS 3770 is recommended for students who wish to refresh their math background.

• Department: Computer Science
• Instructor: Nakul Verma
  CULPA: 10 h-index: 16 Info
• 3 points

MACHINE LEARNING

Basic statistical principles and algorithmic paradigms of supervised machine learning.

Prerequisites: 
Multivariable calculus (e.g. MATH1201 or MATH1205 or APMA2000), linear algebra (e.g. COMS3251 or MATH2010 or MATH2015), probability (e.g. STAT1201 or STAT4001 or IEOR3658 or MATH2015), discrete math (COMS3203), and general mathematical maturity. Programming and algorithm analysis (e.g. COMS 3134). COMS 3770 is recommended for students who wish to refresh their math background.

• Department: Computer Science
• Instructor: Nakul Verma
  CULPA: 10 h-index: 16 Info
• 3 points

Machine Learning Theory

Theoretical study of algorithms for machine learning and high-dimensional data analysis. Topics include high-dimensional probability, theory of generalization and statistical learning, online learning and optimization, spectral analysis

• Department: Computer Science
• Instructor: Daniel Hsu
  CULPA: 6 h-index: 44 Info
• 3 points

Neural Networks & Deep Learning

NEURAL NETWORKS DEEP LEAR

Foundational concepts, methods, applications, and recent advances in neural network algorithms.

• Department: Computer Science
• Instructor: Richard Zemel
  Wikipedia Info
• 3 points

Financial Engineering Practitioners Semi

FE Seminar Series

Degree requirement for all MSFE first-year students. Topics in Financial Engineering. Past seminar topics include Evolving Financial Intermediation, Measuring and Using Trading Algorithms Effectively, Path-Dependent Volatility, Artificial Intelligence and Data Science in modern financial decision making, Risk-Based Performance Attribution, and Financial Machine Learning. Meets select Monday evenings.

• Department: Industrial Engineering and Operations Research
• Instructor: Ali Hirsa
  h-index: 8 Info
• 0 points

DIGITAL SIGNAL PROCESSING

Digital filtering in time and frequency domain, including properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, IIR and FIR filter design techniques, the discrete Fourier transform, fast Fourier transforms.

• Department: Electrical Engineering
• Instructor: Guido H Jajamovich
  Info
• 3 points

ADVANCED SANSKRIT I

This course constitutes the first half of a year-long advanced reading course in Classical Sanskrit. In 2021-2022, the focus of Advanced Sanskrit will be the genres of literary theory (alaṅkāraśāstra) and belles-lettres (kāvya). Lending equal attention to literary theory and literary practice, this course will introduce students to iconic works of Sanskrit literature along with the interpretive frameworks whereby they were analyzed, relished, and appraised. Literary excerpts may be drawn from an array of subgenres, including courtly epic (mahākāvya), epic drama (nāṭaka), literary prose (gadya), and individual verses (muktaka). Rigorous analysis of primary texts will be supplemented by occasional discussions about what implications the disciplined reading of kāvya may hold for practices such as translation, comparative literature, and transdisciplinarity. Prerequisites: Intermediate Sanskrit II or instructor’s permission.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Jonathan Peterson
  Info
• 4 points

Aerospace Human Factors Engineering

Engineering fundamentals and experimental methods of human factors design and evaluation for spacecraft and aircraft which incorporate human-in-the-loop control. Develop understanding of human factors specific to spacecraft and aircraft design with human-in-the-loop control. Design of human factors experiments utilizing task analysis and user testing with quantitative evaluation metrics to develop a sate and high-performing operational space system. Human-centered design, functional allocation and automation, human sensory performance in the space environment, task analysis, human factors experimental methods and statistics, space vehicle displays and controls, situation awareness, workload, usability, manual piloting and handling qualities, human error analysis and prevention, and anthropometrics. Includes team design project.

• Department: Mechanical Engineering
• Instructor: Michael J Massimino
  Wikipedia Info
• 3 points

GLOBAL ENERGY: SECURITY/GEOPOL

The course focuses on the nexus between energy and security as it reveals in the policies and interaction of leading energy producers and consumers. Topics include: Hydrocarbons and search for stability and security in the Persian Gulf, Caspian basin, Eurasia, Africa and Latin America; Russia as a global energy player; Analysis of the impact of Russia's invasion of Ukraine on energy markets, global security, and the future of the energy transition; Role of natural gas in the world energy balance and European energy security; Transformation of the global energy governance structure; Role and evolution of the OPEC; Introduction into energy economics; Dynamics and fundamentals of the global energy markets; IOCs vs NOCs; Resource nationalism, cartels, sanctions and embargoes; Asia's growing energy needs and its geo-economic and strategic implications; Nuclear energy and challenges to non-proliferation regime; Alternative and renewable sources of energy; Climate change as one of the central challenges of the 21st century; Analysis of the policies, technologies, financial systems and markets needed to achieve climate goals. Climate change and attempts of environmental regulation; Decarbonization trends, international carbon regimes and search for optimal models of sustainable development. Special focus on implications of the shale revolution and technological innovations on U.S. energy security.

• Department: Political Science
• Instructor: Albert Bininachvili
  CULPA: 6 Info
• 3 points

ADVANCED LOGIC DESIGN

An introduction to modern digital system design. Advanced topics in digital logic: controller synthesis (Mealy and Moore machines); adders and multipliers; structured logic blocks (PLDs, PALs, ROMs); iterative circuits. Modern design methodology: register transfer level modelling (RTL); algorithmic state machines (ASMs); introduction to hardware description languages (VHDL or Verilog); system-level modelling and simulation; design examples.

• Department: Electrical Engineering
• Instructor: Mingoo Seok
  h-index: 31 Info
• 3 points

COMPUTER ARCHITECTURE

Focuses on advanced topics in computer architecture, illustrated by case studies from classic and modern processors. Fundamentals of quantitative analysis. Pipelining. Memory hierarchy design. Instruction-level and thread-level parallelism. Data-level parallelism and graphics processing units. Multiprocessors. Cache coherence. Interconnection networks. Multi-core processors and systems-on-chip. Platform architectures for embedded, mobile, and cloud computing.

• Department: Computer Science
• Instructor: Simha Sethumadhavan
  CULPA: 8 Info
• 3 points

Indo-Islamic Culture in Literature

This course will focus on the Indo-Islamic literary traditions in South Asia, and particularly in what is now India and Pakistan, focusing on Urdu literature from the nineteenth and twentieth centuries. The course will emphasize the rhetorical and performative history of poetic forms in the subcontinent (including the forms of the
Ghazal
and
Nauha
, among others) and will consider how classical poetic tropes continue to inform contemporary mass culture in India and Pakistan—particularly in the song lyrics of Hindi/Bollywood cinema. The course will also consider more contemporary prose genres of Urdu-language writing (in English translation), including the literature of the Partition and the works of contemporary authors such as Naiyer Masud and Saima Iram.

Through a comparative study of texts in different genres and at different moments in history, students will consider questions such as: What aspects of contemporary literary culture in India and Pakistan can be traced to early establishment of Islamic culture in the region? How have the poetic conventions of Indo-Islamic poetry continued to resonate? How did the interaction of Hindu and Muslim literary, musical, visual, and religious cultures in the Mughal era help to generate the rich profusion of literature and music and cultural tolerance in this period?

Most of our readings in this course will Urdu literature in English translation. We will also, however, read some secondary sources in order to help us better understand the primary sources.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Timsal Masud
  Info
• 4 points

CHINA AND POLITICS OF DESIRE

A recent American newspaper headline announced that China has become “the most materialistic country the world.” Globally circulating narratives often interpret Chinese consumers’ demand for commodities as an attempt to fill a void left by the absence of the Maoist state, traditional religious life, and Western-style democracy. But things aren’t as simple as they appear. This course explores the intertwined questions of “Chinese” desire and the desire for China. Avoiding reductionist understandings of desire as either a universal natural human attribute or a particular Chinese cultural trait, we will track the production and management of desire within a complex global field. Drawing on ethnographies, films, short stories, and psychoanalytic and postcolonial theory, this course will explore the shifting figure of desire across the Maoist and post-Maoist eras by examining how academics, government officials, intellectuals, and artists have represented Chinese needs, wants and fantasies. From state leaders’ attempts to improve the “quality” of the country’s population to citizens’ dreams of home ownership, from sexualized desire to hunger for food, drugs and other commodities, we will attend to the continuities and disjunctures of recent Chinese history by tracking how desire in China has been conceptualized and refracted through local and global encounters.

• Department: Asian and Middle East @Barnard
• Instructor: Nicholas A Bartlett
  CULPA: 5 Info
• 4 points

BEHAVIORAL ECONOMICS

Prerequisites: ECON UN3211 and ECON UN3213 Within economics, the standard model of behavior is that of a perfectly rational, self interested utility maximizer with unlimited cognitive resources. In many cases, this provides a good approximation to the types of behavior that economists are interested in. However, over the past 30 years, experimental and behavioral economists have documented ways in which the standard model is not just wrong, but is wrong in ways that are important for economic outcomes. Understanding these behaviors, and their implications, is one of the most exciting areas of current economic inquiry. The aim of this course is to provide a grounding in the main areas of study within behavioral economics, including temptation and self control, fairness and reciprocity, reference dependence, bounded rationality and choice under risk and uncertainty. For each area we will study three things: 1. The evidence that indicates that the standard economic model is missing some important behavior 2. The models that have been developed to capture these behaviors 3. Applications of these models to (for example) finance, labor and development economics As well as the standard lectures, homework assignments, exams and so on, you will be asked to participate in economic experiments, the data from which will be used to illustrate some of the principals in the course. There will also be a certain small degree of classroom ‘flipping’, with a portion of many lectures given over to group problem solving. Finally, an integral part of the course will be a research proposal that you must complete by the end of the course, outlining a novel piece of research that you would be interested in doing.

• Department: Economics
• Instructor: Mark Dean
  CULPA: 2 h-index: 26 Info
• 3 points

American Conceptualism

This seminar explores the history and evolution of conceptual art and conceptualism across four major cities in the Americas: New York, Buenos Aires, Rosario, and Santiago de Chile. Between 1966 and 1975, artists and curators working in distinct geographical and political landscapes simultaneously foregrounded the notion that the “work” of art was an “idea” rather than an act of object-making. Together, they expanded this concept, producing innovative dematerialized, ephemeral, installation, site-specific, and participatory artworks and exhibitions. Instead of viewing U.S. conceptual art as contemporaneous but ultimately distinct from Latin American conceptualism (as is often assumed), this seminar adopts a hemispheric approach.

Our focus will be on the alternative circuits formed by artists, curators, and critics, as well as the dynamic movement of ideas and the distinct local imperatives that have shaped these global connections. Our investigation will be limited to a critical decade, allowing us to develop a depth of context while underscoring the porosity of dematerialized art across borders. We will examine how translations and mistranslations of art terminology, such as “conceptual art”, “Conceptual Art,” and “conceptualism,” can expand or evade rigid institutional categorizations. We will engage with archival materials and listen to the voices of prominent and outlier artists and curators, including Oscar Masotta, Lucy Lippard, Seith Siegelaub, Nemesio Antúnez, Jorge Glusberg, Catalina Parra, Cecilia Vicuña, Juan Pablo Langlois, Art & Language, the Art Workers’ Coalition, and the Rosario Group, to trace the contours of post-1960s conceptualism anew.

• Department: Art History and Archaeology
• Instructor: Veronica Tello
  Info
• 4 points

GENERATIVE DESIGN

• Department: Architecture, Planning and Preservation
• Instructor: Danil Nagy
  Info
• 3 points

NAT SECURITY STRAT OF MID EAST

At the crossroads of three continents, the Middle East is home to many diverse peoples, with ancient and proud cultures, in varying stages of political and socio-economic development, often in conflict. Following the Arab Spring and subsequent upheaval in Egypt, Syria, Iraq, Yemen, Libya and more, the region is in a state of historic flux. The Sunni-Shia rivalry, especially between Saudi Arabia and Iran, growing Iranian-Israeli conflict, population explosion, poverty and authoritarian control, Russian ascendance and US retrenchment, are the primary regional drivers today. Together, these factors have transformed the Middle Eastern landscape, with great consequence for the national security of the countries of the region and their foreign relations. The primary source of the worlds energy resources, the Middle East remains the locus of the terror-WMD-fundamentalist nexus, which continues to pose a significant threat to both regional and international security. The course surveys the national security challenges facing the regions primary players (Egypt, Saudi Arabia, Iran, Iraq, Syria, Lebanon, Jordan, Israel, the Palestinians and Turkey,) and how the convolutions of recent years have affected them. Unlike many Middle East courses, which focus on US policy in the region, the course concentrates on the regional players perceptions of the threats and opportunities they face and the strategies they have adopted to deal with them. It thus provides an essential vantage point for those interested in gaining a deeper understanding of a region, which stands at the center of many of the foreign policy issues of our era. The course is designed for those with a general interest in the Middle East, especially those interested in national security issues, students of comparative politics and future practitioners, with an interest in real world international relations and national security.

• Department: Political Science
• Instructor: Charles D Freilich
  CULPA: 2 Info
• 4 points

COGNITIVE MECH & ECON BEHAVIOR

Prerequisites: ECON UN3211 and ECON UN3213 and STAT UN1201 Standard economic theory seeks to explain human behavior (especially in economic settings, such as markets) in terms of rational choice, which means that the choices that are made can be predicted on the basis of what would best serve some coherent objective, under an objectively correct understanding of the predictable consequences of alternative actions. Observed behavior often seems difficult to reconcile with a strong form of this theory, even if incentives clearly have some influence on behavior; and the course will discuss empirical evidence (both from laboratory experiments and observations in the field) for some well-established anomalies. But beyond simply cataloguing anomalies for the standard theory, the course will consider the extent to which departures from a strong version of rational choice theory can be understood as reflecting cognitive processes that are also evident in other domains such as sensory perception; examples from visual perception will receive particular attention. And in addition to describing what is known about how the underlying mechanisms work (something that is understood in more detail in sensory contexts than in the case of value-based decision making), the course will consider the extent to which such mechanisms --- while suboptimal from a normative standpoint that treats perfect knowledge of one's situation as costless and automatic --- might actually represent efficient uses of the limited information and bounded information-processing resources available to actual people (or other organisms). Thus the course will consider both ways in which the realism of economic analysis may be improved by taking into account cognitive processes, and ways in which understanding of cognitive processes might be advanced by considering the economic problem of efficient use of limited (cognitive) resources.

• Department: Economics
• Instructor: Michael D Woodford
  Wikipedia Info
• 4 points

INTERNATIONAL POLITICAL ECONOMY

This course explores key frameworks and issue areas within international political economy. It examines the history and key characteristics of (economic) globalization, the theories of international cooperation, as well as the nature and role of international organizations (such as the World Trade Organization) in fostering trade and international economic cooperation. Furthermore, the course discusses the pros and cons of globalization and its implications on domestic policies of nation-states, with a particular focus on the tensions globalization creates and the lines of cleavages between winners and losers from globalization. Finally, the course reflects on the future of globalization and international trade and the challenges faced by national and supranational policy makers.

• Department: Political Science
• Instructor: Davit Sahakyan
  CULPA: 1 Info
• 4 points

INT'L POLITICAL ECONOMY-DISC

This is the required discussion section for 
POLS GU4865.

• Department: Political Science
• 0 points

SYSTEM-ON-CHIP PLATFORMS

Design and programming of System-on-Chip (SoC) platforms. Topics include: overview of technology and economic trends, methodologies and supporting CAD tools for system-level design, models of computation, the SystemC language, transaction-level modeling, software simulation and virtual platforms, hardware-software partitioning, high-level synthesis, system programming and device drivers, on-chip communication, memory organization, power management and optimization, integration of programmable processor cores and specialized accelerators. Case studies of modern SoC platforms for various classes of applications.

• Department: Computer Science
• Instructor: Luca Carloni
  CULPA: 2 Wikipedia h-index: 45 Info
• 3 points

1001 Nights, Then and Now

This course explores the origins, performance, reception, adaptation, and translation of
The Thousand and One Nights
, one of the most beloved and inluential story collections in world literature. An authorless collage built up over centuries, it is an “ocean” of narratives that has much to teach us about how stories work, whether they must come to an end, and our apparently bottomless desire to hear them. In addition to reading the tales themselves and studying their themes and devices, we will delve into the very real history of this curious work and its eccentric interpreters, translators, and readers. Finally, we will consider how the Nights puts pressure on ideas of authorship and originality and enlarges our notion of what a book is – and might be.

• Department: Comparative Literature and Society, Institute for
• Instructor: Yasmine Seale
  Info
• 4 points

HUMAN RIGHTS IN THE UNITED STATES

The United States has a long complex relationship with the international human rights system. Although its founding was grounded in fundamental norms of inalienable rights, equality and freedom, U.S. history is characterized by divisive and sometimes violent disagreements about who counts as human, what is fundamental to the human condition, and which/how rights should be protected. How has this history contributed to our contemporary struggles? Through engaging with issues related to racial justice, criminal justice, reproductive justice, disability justice, gender justice, and indigenous people’s rights, students are asked to consider how certain rights are sites of contestation within the U.S. political system and within U.S. society.

This course offers a multidisciplinary survey of urgent contemporary human rights issues in the United States and seeks to advance students’ skills to examine human rights research and analysis through intersectional approaches. Part of the inquiry of this course is ensuring that students understand existing tensions among several key concepts (1) human rights as a body of international human rights law and institutions; (2) human rights movements using human rights discourse to further their aspirations; (3) constitutional rights in the U.S. as interpreted by U.S. courts that may or may not allude to/be contained in international law; and (4) political rhetoric that use the language of “rights” for political ends.

Coursework will ground current human rights debates in their social, legal, and political contexts. It will outline the different actors in the human rights landscape, focusing on mobilization strategies of human rights movements and the policy reforms that they seek to advance human rights agendas. Students will engage with legal cases and legislation in the United States. By the end of this course, you should expect to be able to:


Understand critical human rights issues in the United States, and apply international and domestic human rights principles and practice to these contemporary human rights debates;

Understand the role of social movements in shaping narratives around human rights;

Analyze (through case studies) the real-life application and effects of human rights policies, as well as how they contribute to the promotion, progressive enforcement, and internalization of international human rights.

• Department: Institute for Study of Human Rights
• Instructor: Joy L Chia
  Info
• 3 points

HISTORY OF MODERN CHINA I

China’s transformation under its last imperial rulers, with special emphasis on economic, legal, political, and cultural change.

• Department: East Asian Languages and Cultures
• 3 points

PRACTICUM: PLANNING THE CULTURAL SPACE

PRAC: PLAN THE CULTURAL S

• Department: Architecture, Planning and Preservation
• Instructor: Douglas Woodward
  Info
• 3 points

STABLE ISOTOPE GEOCHEMISTRY

Prerequisites: introductory chemistry and earth science coursework. Prerequisites: Introductory Chemistry and Earth Science coursework. Given in alternate years. This class will be an introduction to the field of stable isotope geochemistry and its application to understanding current and past environmental processes. The utility of stable isotopes as tracers will be examined with respect to the disciplines of hydrology, oceanography,paleoclimatology, paleoceanography, landscape evolution, carbon cycle and nitrogen cycle dynamics. We will focus on the stable isotopes of hydrogen, carbon, oxygen, nitrogen in water, ice, carbonates and organic compounds and why they fractionate in the environment. The theoretical background for isotope fractionation will be discussed in class. Radiocarbon as a tracer and dating tool will also be reviewed. In addition, the mechanics of how mass spectrometers analyze different isotope ratios will be explored in class and during experiments in the laboratory. Additional key parts of the class will be a review of paper or laboratory report and student-lead reviews of published papers on relevant topics.

• Department: Earth and Environmental Sciences
• Instructor: Braddock Linsley
  h-index: 42 Info
• 3 points

DATA VIS 4 ARCH, URB, HUM

• Department: Architecture, Planning and Preservation
• Instructor: Jia Zhang
  Info
• 3 points

BIOMEDICAL IMAGING

Covers image formation, methods of analysis, and representation of digital images. Measures of qualitative performance in the context of clinical imaging. Algorithms fundamental to the construction of medical images via methods of computed tomography, magnetic resonance, and ultrasound. Algorithms and methods for the enhancement and quantification of specific features of clinical importance in each of these modalities.

• Department: Biomedical Engineering
• Instructor: Grace McIlvain
  Info
• 3 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Biomedical Engineering
• Instructor: Gerard A Ateshian
  Info
• Instructor: Tal Danino
  Wikipedia h-index: 18 Info
• Instructor: X. Edward Guo
  CULPA: 2 h-index: 70 Info
• Instructor: Henry Hess
  CULPA: 1 h-index: 45 Info
• Instructor: Clark T Hung
  CULPA: 5 h-index: 65 Info
• Instructor: Lance Kam
  CULPA: 7 h-index: 38 Info
• Instructor: Andrew Laine
  Wikipedia h-index: 43 Info
• Instructor: Elisa Konofagou
  Wikipedia h-index: 71 Info
• Instructor: Kam W Leong
  h-index: 126 Info
• Instructor: Helen Lu
  CULPA: 1 h-index: 54 Info
• Instructor: Barclay Morrison
  CULPA: 9 h-index: 42 Info
• Instructor: Elizabeth Olson
  h-index: 28 Info
• Instructor: Paul Sajda
  CULPA: 3 h-index: 47 Info
• Instructor: Samuel Sia
  CULPA: 1 h-index: 39 Info
• Instructor: John T Vaughan
  Info
• Instructor: Gordana Vunjak-Novakovic
  Wikipedia h-index: 132 Info
• Instructor: Qi Wang
  h-index: 24 Info
• Instructor: Nandan L Nerurkar
  Info
• Instructor: Stephen H Tsang
  Wikipedia h-index: 58 Info
• Instructor: Elham Azizi
  h-index: 10 Info
• Instructor: Jose McFaline-Figueroa
  Info
• Instructor: Treena L Arinzeh
  Wikipedia Info
• Instructor: Sanja Vickovic
  Info
• Instructor: Santiago Correa
  Info
• Instructor: Parisa Yousefpour
  Info
• 0 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Chemical Engineering
• Instructor: Christopher S Chen
  Info
• 0 points

TOPICS IN CHEMICAL ENGINEERING

• Department: Chemical Engineering
• Instructor: Sanat Kumar
  CULPA: 4 h-index: 79 Info
• Instructor: Oleg Gang
  h-index: 45 Info
• 3 points

MASTERS RESEARCH OR PROJECT

Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.

• Department: Industrial Engineering and Operations Research
• Instructor: Anish Agarwal
  Info
• Instructor: Shipra Agrawal
  h-index: 24 Info
• Instructor: Eric Balkanski
  h-index: 13 Info
• 1-3 points