INTRO TO HEALTH ECONOMICS

• Department: Executive Classes in HPM
• Instructor: Matthew J Neidell
  Info
• 3 points

Introduction to Health Economics

INTRODUCTN TO HEALTH ECON

Health economics provides theories and tools for understanding, predicting, and changing human behavior. Understanding and changing the behavior of firms and individuals, designing health policies, and managing firms and organizations concerned with delivering health care and improving health, requires a solid foundation in health economics. In this course, students will learn the concepts in health economics most relevant and important to public health professionals and how these economic concepts can be applied to improving health care and the public health systems. Students will identify the basic concepts of health economics for the purposes of solving problems using these concepts, and apply these concepts in new contexts within public health.

• Department: Health Policy & Management
• T 8:30 a.m.-11:20 a.m.
• W 8:30 a.m.-11:20 a.m.
• 3 points

CLOWN II - RESEARCH ARTS

• Department: Theatre Arts
• Instructor: Ralf Jean-Pierre
  Info
• 0 points

Health Policy and the Political System

HEALTH POLICY-POLITICAL S

Why does the government play such a central role in the health of its citizens? What factors unique to American politics have given us the healthcare system we currently have, and how much change can be accomplished within our philosophical and ethical confines? How do political changes yield policy shifts - or not? This course analyzes the role of major institutions - the central government, the federal system, the private sector, interest groups, and so on - in formulating and implementing health policy in the United States. We will discuss underlying normative issues and crossnational perspectives on healthcare to situate American healthcare policy along a broader global political spectrum, and attempt to forecast what changes are likely - or unlikely - to occur. Topics will include political history, policy formation and recommendations, market forces and economic influences, and more.

• Department: Health Policy & Management
• W 1 p.m.-3:50 p.m.
• Instructor: Lawrence D Brown
  Info
• 3 points

NEIGHBORHOOD PRES + ZONING

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Carol A Clark
  Info
• 1.5 points

FICTION LECTURE

HOMER JOYCE CERV FLAUBERT

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• Department: Writing
• W 5:15 p.m.-7:15 p.m.
• Instructor: Erroll G McDonald
  Info
• 3 points

Critical Issues in Hospital Management

HOSP ORGANIZATION/MANAGEM

This course is intended to give the student a broad understanding of the components of the health care system and the basic management principles of hospital organization and management. The course will employ a variety of learning formats for students including lectures by the instructors, guest lecturers with special expertise, case studies and student presentations. Emphasis will be on the historical trends of health care statistics and operating data of health care institutions; the history of hospitals and health care systems; their organization and finances; regulatory controls; management strategies; accreditation and professional standards; government; private insurance; administrative leadership and professional interactions, emergency services, healthcare trends and marketing.

• Department: Health Policy & Management
• M 5:30 p.m.-8:20 p.m.
• Instructor: Arthur Gianelli
  Info
• 1.5 points

Instructive Biomaterials

Covers biomaterials that are instructive or have been designed or engineered to be instructive; structure-function-property relationships in natural and synthetic biomaterials. Advances in understanding of material properties emphasized; including electroactivity, chemical, mechanical, geometry/architecture, and the modification of material surfaces and context of their effect on biological function. Evolving field of smart biomaterials discussed. Exercises/demonstrations using materials characterization equipment conducted.

• Department: Biomedical Engineering
• W 1:10 p.m.-3:40 p.m.
• Instructor: Treena L Arinzeh
  Wikipedia Info
• 3 points

ENVIRONMENTL CHAL IN HLTH CARE

• Department: Executive Classes in HPM
• Instructor: Sasha R Berns
  Info
• 1.5 points

NONFICTION LECTURE

NARRATIVE STRUCTURE

NONFICTION LECTURE

• Department: Writing
• W 10 a.m.-noon
• Instructor: Chloe Jones
  Info
• 3 points

Healthcare Accounting and Budgeting

HLTH CARE ACCOUNTING&BUDG

The current market places increasing demands on healthcare managers so it is essential that individuals possess basic skills related to financial management and financial reporting. Current events make these demands more dynamic than ever. This course is intended for students who are interested in expanding their knowledge of healthcare financial issues and/or pursuing careers that involve financial management in the healthcare sector. The focus will be on non-profit healthcare delivery organizations.

• Department: Health Policy & Management
• R 1 p.m.-3:50 p.m.
• T 5:30 p.m.-8:20 p.m.
• Instructor: Francine M Caracappa
  Info
• Instructor: Jonathan Engel
  Info
• 3 points

ISSUES/APPROC-HLTH POLICY/MGMT

• Department: Executive Classes in HPM
• Instructor: Michael S Sparer
  Info
• 3 points

Issues and Approaches in Health Policy a

ISSUES-APPROACHES-HLTH PO

How is the health care system organized? Who pays the bill? Why have efforts to enact national health insurance failed? What role does government now play in the US health care system, and how do different levels of government share these tasks? Contrary to many perceptions, the fervent debate of these questions is not a recent phenomenon; these are issues that have been argued vigorously throughout American political history. Exploring these debates is critical both to the development of public health policy and the management of delivery systems.
This course focuses on policy and management issues that affect all health care practitioners. We will examine, among other topics, the historical foundations of the American health care system, the rise of managed care, the make-up of the healthcare workforce, the key issues on the nation’s long-term care policy agenda, and ways in which government can encourage good quality care. This introductory course is intended for MHA students and serves to fulfill a core course requirement in Health Policy and Management.

• Department: Health Policy & Management
• M 5:30 p.m.-8:20 p.m.
• T 1 p.m.-3:50 p.m.
• Instructor: Sorcha Brophy
  Info
• Instructor: Jonathan Engel
  Info
• 3 points

POETRY LECTURE

POETS ON POETS

POETRY LECTURE

• Department: Writing
• M 2:10 p.m.-4:10 p.m.
• Instructor: Alice Quinn
  Info
• 3 points

Analytics and Managerial Decision-Making

ANALYTCS/MANAGR DECISION

Analytics and Managerial Decision-Making I is the first of two required quantitative methods courses taken in sequence by all MHA students. These courses are foundational to the MHA curriculum. The two courses are fully integrated with respect to materials, exercises and cases, and by a two-term, team-based application project.
Managers are continually confronted with the need to make significant decisions concerning the organizational and financial performance of a health organization, based on a combination of strategic intention, practical experience, and interpretation and application of complex data and information. Data analysis is one tool that supports such decision-making. This course is designed to provide management students with the tools to generate and present data-driven and model-based management recommendations that are meaningful and implementable.
The course focuses on learning basic tools for the collection, analysis, and presentation of data in support of managerial/executive decision-making. Topics will include introductory data and statistical exploration from basic descriptive statistics to population and market estimation, comparison testing and decision-making, sampling design and analysis, and predicting/forecasting using linear regression. Using Excel as an additional tool, the course develops analytical skills to prepare managers to make and to present informed decisions in the overall healthcare sector.

• Department: Health Policy & Management
• T 8:30 a.m.-11:20 a.m.
• R 8:30 a.m.-11:20 a.m.
• 3 points

PHILOSOPHY OF SCIENCE

• Department: Philosophy
• T 6:10 p.m.-8 p.m.
• Instructor: David Albert
  CULPA: 32 Wikipedia h-index: 40 Info
• 3 points

THE ACTOR'S BODY III

This course deepens the actor’s working understanding of their body as “instrument” and teaches practical application of learned skill sets for professional practice and complex use.The course achieves this objective by examining current practice and providing solutions for real time obstacles and challenges actors are encountering in their daily practice in classes and rehearsals. Challenges faced are explored specifically in context of class vocabulary as well as by providing increasingly complex tasks that require use of multiple skills sets at once.The course continues the work of developing physical ease and awareness and expands each actor also to prepare body and being for work in ensemble.

• Department: Theatre Arts
• Instructor: Sita Mani
  Info
• 1 points

PUB-PRIV PARTSHP-REAL EST DEV

• Department: Architecture, Planning and Preservation
• F 9 a.m.-11 a.m.
• Instructor: Mehul J Patel
  Info
• 1.5 points

Topics in Smart Electric Energy

Selected advanced topics in smart electric energy. Content varies from year to year.

• Department: Electrical Engineering
• T 7 p.m.-9:30 p.m.
• Instructor: Navid Asr
  Info
• 3 points

Topics in Smart Electric Energy

Selected advanced topics in smart electric energy. Content varies from year to year.

• Department: Electrical Engineering
• R 4:10 p.m.-6:40 p.m.
• Instructor: Mohamed Kamaludeen
  Info
• 3 points

SUPERVISED INDIVIDUAL RESEARCH

Prerequisites: permission of the departmental adviser to Graduate Studies.

• Department: Psychology
• Instructor: Niall Bolger
  CULPA: 4 h-index: 55 Info
• 1-4 points

QUESTIONS-ANTHROP THRY I:TEXTS

Presents students with critical theories of society, paying particular attention to classic continental social theory of the nineteenth and twentieth centuries. We will trace a trajectory through important French and German writings essential for any understanding of the modern discipline of anthropology: from Saussure through Durkheim and Mauss, Marx, Weber, and on to the structuralist elaboration of these theoretical perspectives in Claude Lévi-Strauss, always bearing in mind the relationship of these theories to contemporary anthropology. We come last to Foucault and affiliated theorists as successors both to French structuralism and to German social theory and its concerns with modernity, rationality, and power. Throughout the readings, we will give special care to questions of signification as they inform anthropological inquiry, and we will be alert to the historical contexts that situate the discipline of anthropology today.

• Department: Anthropology
• M 4:10 p.m.-6 p.m.
• Instructor: Rosalind Morris
  CULPA: 20 Wikipedia Info
• 3 points

LEASE ANALYSIS & FIN METRICS

• Department: Architecture, Planning and Preservation
• T 7 p.m.-9 p.m.
• Instructor: Sara B Queen
  Info
• 1.5 points

Nonlinear and Adaptive Control

Nonlinear dynamics: Euler-Lagrange equations, Hamilton’s principle, variational calculus; nonlinear systems: fundamentals, examples, stability Notions, linear systems and linearization, frequency domain analysis, discrete time systems, absolute stability, input-to-state stabililty, control design: control Lyapunov functions, sliding mode control, control barrier functions; adaptive control: self-tuning regular, model reference adaptive control, feedback linearization, extremum seeking control, model predictive control, observer design: extended, unscented, and mixture model Kalman filters, moving horizon estimation, high-gain observers; repetitive processes: iterative learning control, learning-adaptive control, repetitive control; optimal control: continuous setting, discrete time setting, constrained optimal control, linear matrix inequality (LMI) constraints, dynamic programming and backward recursion.

• Department: Mechanical Engineering
• M 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

SOUND: ADVANCED TOPICS I

This class explores advanced topics relating to the production of music by computer. Although programming experience is not a prerequisite, various programming techniques are enlisted to investigate interface design, algorithmic composition, computer analysis and processing of digital audio, and the use of computer music in contexts such as VR/AR applications. Check with the instructor for the particular focus of the class in an upcoming semester. Some familiarity with computer music hardware/software is expected. Permission of instructor is required to enroll.

• Department: Music
• W 6:10 p.m.-8 p.m.
• Instructor: Bradford G Garton
  CULPA: 14 Info
• 3 points

PLANNING FOR JUSTICE IN A LOW CARBON FUT

• Department: Architecture, Planning and Preservation
• M 11 a.m.-1 p.m.
• Instructor: Javier Lopez
  Info
• 3 points

OPTIMIZATION I

Theory and geometry of linear programming. The simplex method. Duality theory, sensitivity analysis, column generation and decomposition. Interior point methods. Introduction to nonlinear optimization: convexity, optimality conditions, steepest descent, and Newton’s method, active set, and barrier methods.

• Department: Industrial Engineering and Operations Research
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Vineet Goyal
  h-index: 21 Info
• 4.5 points

Machine Learning and High-Dimensional Da

Mchn lrning&Hgh-dmntnl da

Discusses recent advances in fields of machine learning: kernel methods, neural networks (various generative adversarial net architectures), and reinforcement learning (with applications in robotics). Quasi Monte Carlo methods in the context of approximating RBF kernels via orthogonal transforms (instances of the structured technique). Will discuss techniques such as TD(0), TD(λ), LSTDQ, LSPI, DQN.

• Department: Industrial Engineering and Operations Research
• M 7:10 p.m.-9:40 p.m.
• Instructor: Krzysztof M Choromanski
  Info
• 3 points

INTRO TO URBAN DATA AND INFORMATICS

INTRO URB DATA + INFORMAT

• Department: Architecture, Planning and Preservation
• M 5 p.m.-7 p.m.
• 3 points

From NIMBY to YIMBY to Mayor Quimby

NIMBY TO YIMBY

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• Instructor: Howard H Slatkin
  Info
• 3 points

Camera in the Tropics

COURSE DESCRIPTION

This graduate seminar situates the history of photography within the history of colonial productions of tropicality, and the concomitant occupation of tropical places. Specific regimes of vision accompanied the European conquest of peoples and lands, undergirded the racialization of bodies, and colluded in epistemic binaries of centers and peripheries. At the same time, modern visual media did not possess an intrinsically “colonial gaze.” Rather, many of the same apparatuses of seeing and representation proved to be powerful tools in the assertion of minoritized selves, be it in fugitive , playful, or explicitly confrontational forms. Our focus will be on 19th -20th century lens-based image production, particularly photography. Each week we will acquaint ourselves with concepts and methods that will help us read images, situate current decolonial debates in visual studies within older foundational debates on vision and visuality, and read key texts in historiography. Weekly readings are curated as per a spatial logic, retracing the itineraries of colonial adventurism and control: from the ship to the island, the plantation, the prison, and the laboratory. This seminar is designed mainly for doctoral students; Masters students can join with instructor permission.

LEARNING OUTCOMES

• Familiarity with foundational debates in photography studies.

• Ability to articulate the relationship between a history of vision, the production of space, and the epistemic techniques of colonialism.

• A comparative history of colonized islands and archipelagoes construed as “tropical.”

• Methods in postcolonial, anti-colonial, and decolonial reading of texts and images.

• Department: Middle Eastern, South Asian and African Studies
• W 2:10 p.m.-4 p.m.
• Instructor: Debashree Mukherjee
  CULPA: 2 h-index: 5 Info
• 4 points

METROPOLITAN PLANNING

• Department: Architecture, Planning and Preservation
• W 5 p.m.-7 p.m.
• Instructor: Thomas K Wright
  Info
• 1.5 points

AFFORDABLE HOUSING DEVELOPMENT IN NYC

AFFORDABLE HOUSING DEV NY

• Department: Architecture, Planning and Preservation
• T 5 p.m.-7 p.m.
• 3 points

OTHER FRONTIERS IN STAGE MANAGEMENT

OTHER FRONTIERS: DANCE

TBD

• Department: Theatre Arts
• M 2 p.m.-4:50 p.m.
• Instructor: Jacqueline Reid
  Info
• 1.5 points

OTHER FRONTIERS IN STAGE MANAGEMENT

OTHER FRONTIERS: OPERA

TBD

• Department: Theatre Arts
• W 2:30 p.m.-4:30 p.m.
• 1.5 points

SUBJECT_OBJECT

• Department: Architecture, Planning and Preservation
• F 9 a.m.-11 a.m.
• Instructor: Suchi Reddy
  Wikipedia Info
• 3 points

THE OUTSIDE IN PROJECT II

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

MACH LEARNING IN BIO&INF

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

• Department: Electrical Engineering
• T 4:10 p.m.-6:40 p.m.
• Instructor: Predrag R Jelenkovic
  CULPA: 1 h-index: 35 Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

Adv VLSI DA & Methodology

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

• Department: Electrical Engineering
• M 1:10 p.m.-3:40 p.m.
• Instructor: Matthew M Ziegler
  Info
• 3 points

TOPICS DATA-DRIVEN ANAL & COMP

GenAI & Modern Deep Learn

Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.

• Department: Electrical Engineering
• TR 10:10 a.m.-11:25 a.m.
• Instructor: Micah Goldblum
  Info
• 3 points

Probabilistic Models and Machine Learnin

Stat ML: Theory to Practi

Probabilistic Models and Machine Learning is a PhD-level course about how to design and use probability models. We study their mathematical properties, algorithms for computing with them, and applications to real problems. We study both the foundations and modern methods in this field. Our goals are to understand probabilistic modeling, to begin research that makes contributions to this field, and to develop good practices for building and applying probabilistic models.

• Department: Statistics
• MW 2:40 p.m.-3:55 p.m.
• Instructor: David Blei
  Wikipedia h-index: 98 Info
• 3 points

Advanced Spoken Language Processing

ADV SPOKEN LANG PROC

Applications of spoken language processing, including text-to-speech and dialogue systems. Analysis of speech and text, including entrainment, empathy, personality, emotion, humor, sarcasm, deception, trust, radicalization, and charisma.

• Department: Computer Science
• T 4:10 p.m.-6 p.m.
• Instructor: Julia Hirschberg
  CULPA: 8 h-index: 77 Info
• 3 points

STOCHASTIC MODELING I

Advanced treatment of stochastic modeling in the context of queueing, reliability, manufacturing, insurance risk, financial engineering and other engineering applications. Review of elements of probability theory; exponential distribution; renewal theory; Wald’s equation; Poisson processes. Introduction to both discrete and continuous-time Markov chains; introduction to Brownian motion.

• Department: Industrial Engineering and Operations Research
• TR 11:40 a.m.-12:55 p.m.
• Instructor: Karl Sigman
  CULPA: 15 Info
• 4.5 points

BLDG ADAPT & REUSE

• Department: Architecture, Planning and Preservation
• F 1 p.m.-3 p.m.
• 1.5 points

DESIGN BY DEVELOPMENT

• Department: Architecture, Planning and Preservation
• M 9 a.m.-11 a.m.
• Instructor: Eran Chen
  Info
• 1.5 points

Vital Records and Vital Statistics: The

Vital Records & Vital Sta

Deaths due to COVID-19 have focused public awareness on death registration in a way that has not been seen since the 1918 Spanish Flu Pandemic. Death registration is an affirmation of the conclusion of a person’s life and offers the opportunity and obligation to enumerate each death and document the final disposition of human remains. Though often considered “just administrative” birth registration can be seen as a public health intervention designed to protect basic human rights, connect people with upstream social determinants of health like education, housing, and income, and ensure that their existential drive to exist is acknowledged.
Vital records are the documents that catalog birth and death experiences millions of times each year in the U.S. Vital statistics are the subset of the information on these records that public health students and professionals appreciate in general, and turn to for meaning in times of devastatingly high levels of deaths. This course focuses on the history, policy, management, and protection of vital records and vital statistics in the United States and will open students’ eyes to the surprisingly fascinating world of vital events.

• Department: Sociomedical Sciences
• W 5:30 p.m.-8:20 p.m.
• Instructor: Gretchen Van Wye
  Info
• 1.5 points

HIST PRESV THEORY & PRACTICE

• Department: Architecture, Planning and Preservation
• W 3 p.m.-6 p.m.
• Instructor: Jorge Otero-Pailos
  Wikipedia h-index: 12 Info
• 3 points

MAKE

• Department: Architecture, Planning and Preservation
• F 11 a.m.-1 p.m.
• 3 points

COMPUTER COMMUNICATNS NETWORKS

COMPUTER COMMUNCATION NETWORKS

Analytical approach to the design of (data) communication networks. Necessary tools for performance analysis and design of network protocols and algorithms. Practical engineering applications in layered Internet protocols in Data link layer, Network layer, and Transport layer. Review of relevant aspects of stochastic processes, control, and optimization.

• Department: Electrical Engineering
• R 10:10 a.m.-12:40 p.m.
• Instructor: Javad Ghaderi
  h-index: 17 Info
• 3 points

PRESERVATION PLANNING

• Department: Architecture, Planning and Preservation
• W 11 a.m.-1 p.m.
• Instructor: Erica C Avrami
  Info
• 3 points

INTERNET ECON, ENG & SOCIETY

Mathematical models, analyses of economics and networking interdependencies in the internet. Topics include microeconomics of pricing and regulations in communications industry, game theory in revenue allocations, ISP settlements, network externalities, two-sided markets. Economic principles in networking and network design, decentralized vs. centralized resource allocation, “price of anarchy,” congestion control. Case studies of topical internet issues. Societal and industry implications of internet evolution.

• Department: Electrical Engineering
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Debasis Mitra
  Wikipedia h-index: 61 Info
• 3 points

ARCH METALS

• Department: Architecture, Planning and Preservation
• M 10 a.m.-1 p.m.
• Instructor: Richard Peiper
  Info
• 1.5 points

TOPICS IN NETWORKING

TPC:NET VIRTUAL & CLOUD COMPUT

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

• Department: Electrical Engineering
• F 4:10 p.m.-6:40 p.m.
• Instructor: Thomas Woo
  Info
• 3 points

ACCOUNTING FOR THEATRE

• Department: Theatre Arts
• R 10 a.m.-noon
• Instructor: Robert Fried
  Info
• 3 points

Health Communication

HEALTH COMMUNICATION

Health Communication has emerged as an important field of theory, research, and practice in the 21st century. As recognized by several public health and global health agendas, well-designed and implemented health communication interventions can have a positive impact on public health and health care outcomes, as well as health equity. This course will introduce students to the field of Health Communication theory and practice, and its key action areas. It will prepare them to design, implement and evaluate health communication interventions within a systematic, participatory, engaging, process-oriented, and multidisciplinary framework that aims at behavioral, social, and organizational results and ultimately, improved public health outcomes.
As health communication is grounded in many theories and principles (e.g., behavioral and social change, marketing, intergroup, sociology, anthropology, cultural-centered and positive deviance theory, mass media and new media theory, medical models, community organizing, social networks, etc.) that are also shared by other disciplines in the public health, health care, and community development fields, these theories will be briefly reviewed as part of session two in relation to their specific application to health communication theory and practice. The planning frameworks and practical exercises included in this course are specific to the field of health communication and provide students with core competencies and skills for future work in health communication within the nonprofit, corporate, academic, and government sectors both in the United States and globally.

• Department: Sociomedical Sciences
• T 4 p.m.-6:50 p.m.
• Instructor: Renata Schiavo
  h-index: 10 Info
• 3 points

TOPICS IN NETWORKING

TPC:CONTENT STORAGE & DISTRIBU

Further study of areas such as communication protocols and architectures, flow and congestion control in data networks, performance evaluation in integrated networks. Content varies from year to year, and different topics rotate through the course numbers 6770 to 6779.

• Department: Electrical Engineering
• W 7 p.m.-9:30 p.m.
• Instructor: Anwar I Walid
  CULPA: 1 Info
• 3 points

Data Visualization And Storytelling

Data Visualization & Stor

During this course, students will be introduced to the methods and techniques of creating infographics and data visualizations. They will learn about storytelling and how to create various charts using Tableau Desktop software. Students will also learn the practical aspects of managing a public health data visualization project. Tableau is becoming widely used and is now also connectable to the “big 4” SPSS/SAS/STAT/R, as such it is an essential data analytics tool for understanding and manipulating data for public health. Students will learn methodologies on how to approach public health data to create data visualizations that display statistics in a compelling form in Tableau. This hands-on introductory course will teach students to develop meaningful public health data stories that reveal insights. Students will utilize health data to tell visual stories and develop an aesthetic for presenting their findings to a lay audience.

• Department: Sociomedical Sciences
• W 8:30 a.m.-11:20 a.m.
• Instructor: Fay Al Bouguir
  Info
• 3 points

STONE, BRICK + TERRA COTTA

• Department: Architecture, Planning and Preservation
• M 10 a.m.-1 p.m.
• 1.5 points

THESIS I

• Department: Architecture, Planning and Preservation
• W 9 a.m.-11 a.m.
• 3 points

TREES

Trees shadow the human in faceless fashion. They mark of a form of deep-time (like Darwin’s tree of Life), record and respond to ecological devastation and abundance. Symbolic of the strange proximity of the divine, trees figure as alter-egos or doubles for human lives and their after lives (in figures like the trees of life and salvation, trees of wisdom and knowledge, genealogical trees, et al). As prostheses of thought and knowledge they become synonymous with structure and form, supports for linguistic and other genres of mapping, and markers of organization and reading (Moretti).  As key sources of energy, that is, as food-procurers, wood, and coal (from the Carboniferous period), trees –as we know them today -- are direct correlates with the rise of the Anthropocene.  This course turns to trees as shadows and shade: that is to trees as coerced doubles of the human and as entry ways to an other-world that figures at the limits of thought and language. Part eco-criticism, part philosophy, this course will begin by coupling medieval literary texts with theoretical works, but will expand (and contract) to other time periods and geographic locales.  An undercurrent of the course is the relation of trees to language, knowledge, democracy, aesthetics, indigeneity, colonization, and religion.

• Department: English and Comparative Literature
• T 4:10 p.m.-6 p.m.
• Instructor: Patricia Dailey
  CULPA: 8 Info
• 4 points

INTERNATIONAL HUMAN RIGHTS LAW

This course introduces the fundamental concepts and problems of international human rights law. What are the origins of modern human rights law? What is the substance of this law, who is obligated by it, and how is it enforced? The course will cover the major international human rights treaties and mechanisms and consider some of todays most significant human rights issues and controversies. While the topics are necessarily law-related, the course will assume no prior exposure to legal studies.

• Department: Institute for Study of Human Rights
• T 6:10 p.m.-8 p.m.
• Instructor: Jacqueline Dugard
  Info
• 3 points

STRUCTURAL DARING & THE SUBLIME

STRUCT DARING & THE SUBLI

• Department: Architecture, Planning and Preservation
• W 11 a.m.-1 p.m.
• Instructor: Rory O O'Neill
  Info
• 3 points

THEORIES OF INT'L RELATIONS

Prerequisites: the instructors permission prior to registration. Issues and problems in theory of international politics; systems theories and the current international system; the domestic sources of foreign policy and theories of decision making; transnational forces, the balance of power, and alliances.

• Department: Political Science
• R 10:10 a.m.-noon
• Instructor: Elizabeth N Saunders
  Wikipedia Info
• 4 points

SEMINAR IN STAGE MANAGEMENT III

MUSICAL STRUCTURE

Musicals, especially those that have traditionally originated on Broadway, are complex pieces of machinery that are designed to produce a variety of energies in the theater. When taken collectively, those energies constitute the aesthetic of the experience. As with plays, stage managers are charged with coordinating all of a musical’s production elements. However, stage managers should also be able to view a musical from every angle; that is, read it intelligently and analyze it dramatically so they can accurately gauge their contribution to the overall aesthetic. This course seeks to provide stage managers with a customized template to do that: in other words, how to connect what’s on the page and the stage to their own standard methodologies, cue calling, and the CEO/COO perspective. In the contemporary professional landscape, these are important tools that will help them optimize their work on musicals.

• Department: Theatre Arts
• R 2 p.m.-4:30 p.m.
• Instructor: Michael Passaro
  Info
• 3 points

Coding for Media Studies

The term “digital humanities” (DH) has long been used to describe scholarship at the intersection of digital technologies and humanities disciplines. Although initially characterized by quantitative analysis and number-crunching, DH today enjoys a far broader mandate encompassing new fields like software studies, data visualization, critical code studies, and more. This course proposes to ride the wave of these developments.

Specifically, it explores how coding can be harnessed to the disciplines of film and media studies. Over the past few years, developments in generative AI have placed basic coding expertise within the reach of all. But what possibilities open up from these changes? Over the course of over a dozen weeks, students in this class will learn ways in which coding can help refine and reimagine traditional scholarly agendas (e.g., film analysis, media industry studies, archival restoration, etc.). But the class also shows how coding opens up entirely new ways of working with media as objects of study.

• Department: Film
• W 6 p.m.-9 p.m.
• 3 points

VISITING ARTIST LECT. III

• Department: Visual Arts
• Instructor: Miya Masaoka
  Wikipedia Info
• 0 points

NEW TOWNS TO SMART CITIES

• Department: Architecture, Planning and Preservation
• T 1 p.m.-3 p.m.
• Instructor: David J Smiley
  CULPA: 3 Info
• 3 points

Hitchcock

Unique among Hollywood directors, Hitchcock played on two boards.  As a master of entertainment who had nothing to say, he produced work as thoroughly trivial as it was utterly compelling.  But thanks to the French reception of his work in 1950s, Hitchcock also came to be considered a master of art, the Auteur par excellence.  If his films had nothing to say, they hardly needed to; in their unparalleled formal originality, they distilled the pure essence of cinema itself.  The course will focus on this dialectic between entertainment and art, between saying nothing and being everything. We shall pay particular attention to a Style that is, on the one hand, commodified as a “touch” that all can recognize, and, on the other, recessed in strange, inconsequential, gibberish-making
touches
that, far from courting recognition, seem to defy it.

• Department: Film
• T 6:10 p.m.-8:40 p.m.
• 3 points

URBAN DESIGN STUDIO II

• Department: Architecture, Planning and Preservation
• F 9 a.m.-11 a.m.
• 9 points

MICROBIAL OCEANOGRAPHY

• Department: Earth and Environmental Sciences
• MW 3 p.m.-4 p.m.
• Instructor: Sonya Dyhrman
  Wikipedia h-index: 47 Info
• 3 points

DIFFERENCE AND DESIGN

• Department: Architecture, Planning and Preservation
• T 3 p.m.-5 p.m.
• Instructor: Justin G Moore
  Info
• 3 points

CRIT ISSUES IN ART III

• Department: Visual Arts
• T 3 p.m.-5 p.m.
• Instructor: Ivana Dama
  Info
• 3 points

ARCHIVES OF TOXICITY

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: Mark Wasiuta
  CULPA: 1 Info
• 3 points

RE VALUATION + INVESTMENT ANALYSIS

RE VAL+INVESTMENT ANALYSI

• Department: Architecture, Planning and Preservation
• T 8:30 a.m.-10:30 a.m.
• Instructor: Jake Pesci
  Info
• 1.5 points

GRADUATE STUDIO III

• Department: Visual Arts
• R noon-4 p.m.
• Instructor: Miya Masaoka
  Wikipedia Info
• 3 points

GRADUATE STUDIO III

• Department: Visual Arts
• MR 4 p.m.-10 p.m.
• Instructor: Miya Masaoka
  Wikipedia Info
• 3 points

THESIS DEVELOPMENT

Prerequisites: the instructor's permission. This course will help guide E3B Ph.D. students towards candidacy by teaching them the skills necessary to be effective and independent scientists. Students will conduct an extensive literature review, write a preliminary dissertation proposal, and present their research ideas to the group on multiple occasions. Students will learn how to give and receive constructive written and oral feedback on their work.

• Department: Ecology, Evolution, and Environmental Biology
• M 2:10 p.m.-4 p.m.
• Instructor: Maria Uriarte
  Wikipedia h-index: 56 Info
• 6 points

GROUP CRITIQUE III

• Department: Visual Arts
• W 5:30 p.m.-9:30 p.m.
• 3 points

MASTER CLASS

• Department: Architecture, Planning and Preservation
• MTR 6:30 p.m.-8:30 p.m.
• 1.5 points

ENVIRONMENTS OF GOVERNANCE

• Department: Architecture, Planning and Preservation
• T 11 a.m.-1 p.m.
• Instructor: Felicity Scott
  Info
• 3 points

ARTIST MENTORSHIP / VISITING ARTIST LECT

ARTIST MENTORSHIP / VALS

This required Visual Arts core MFA curriculum course, comprising two parts, allows MFA students to deeply engage with and learn directly from a wide variety of working artists who visit the program each year.

Lecture Series
The lecture component, taught by an adjunct faculty member with a background in art history and/or curatorial studies, consists of lectures and individual studio visits by visiting artists and critics over the course of the academic year. The series is programmed by a panel of graduate Visual Arts students under the professor's close guidance. Invitations are extended to artists whose practice reflects the interests, mediums, and working methods of MFA students and the program. Weekly readings assigned by the professor provide context for upcoming visitors. Other course assignments include researching and preparing introductions and discussion questions for each of the visitors. Undergraduate students enrolled in Visual Arts courses are encouraged to attend and graduate students in Columbia's Department of Art History are also invited. Following each class-period the conversation continues informally at a reception for the visitor. Studio visits with Visual Arts MFA students take place on or around the week of the artist or critic's lecture and are coordinated and assigned by lottery by the professor.

Artist Mentorship
The Artist-Mentor component allows a close and focused relationship to form between a core group of ten to fifteen students and their mentor. Students are assigned two mentors who they meet with each semester in two separate one-week workshops. The content of each workshop varies according to the Mentors’ areas of expertise and the needs of the students. Mentor weeks can include individual critiques, group critiques, studio visits, visits to galleries, other artist's studios, museums, special site visits, readings, and writing workshops. Here are a few descriptions from recent mentors:
• During Mentor Week we will individually and collectively examine our assumptions and notions about art. What shapes our needs and expectations as artists and the impact of what we do?
• Our week will include visits to exhibition spaces to observe how the public engages the art. Throughout, we will consider art's ability to have real life consequences and the public's desire to personally engage with and experience art without mediation.
• The week will be conducted in two parts, f

• Department: Visual Arts
• T 6 p.m.-9:30 p.m.
• Instructor: Miya Masaoka
  Wikipedia Info
• 3 points

FORMAL VERIF HW SW SYSTEMS

Introduction to the theory and practice of formal methods for the design and analysis of correct (i.e. bug-free) concurrent and embedded hardware/software systems. Topics include temporal logics; model checking; deadlock and liveness issues; fairness; satisfiability (SAT) checkers; binary decision diagrams (BDDs); abstraction techniques; introduction to commercial formal verification tools. Industrial state-of-art, case studies and experiences: software analysis (C/C++/Java), hardware verification (RTL).

• Department: Computer Science
• M 6:10 p.m.-8 p.m.
• 3 points

FINANCIAL MODELING CASE STUDIES

• Department: Architecture, Planning and Preservation
• T 7 p.m.-9 p.m.
• Instructor: Chok S Lei
  Info
• 1.5 points

UNSETTLING SOUTH ASIA MODERN

• Department: Architecture, Planning and Preservation
• W 11 a.m.-1 p.m.
• Instructor: Ateya A Khorakiwala
  Info
• 3 points

FEASTING + FASTING

• Department: Architecture, Planning and Preservation
• R 11 a.m.-1 p.m.
• Instructor: Ateya A Khorakiwala
  Info
• 3 points

TOPICS IN SIGNAL PROCESSING

BIOMEDICAL SIGNAL&IMAGE

Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889.

• Department: Electrical Engineering
• M 10:10 a.m.-12:40 p.m.
• Instructor: Guido H Jajamovich
  Info
• 3 points

TOPICS IN SIGNAL PROCESSING

TPC:REINFORCEMENT LEARNING

Advanced topics in signal processing, such as multidimensional signal processing, image feature extraction, image/video editing and indexing, advanced digital filter design, multirate signal processing, adaptive signal processing, and wave-form coding of signals. Content varies from year to year, and different topics rotate through the course numbers 6880 to 6889.

• Department: Electrical Engineering
• F 8:10 a.m.-10 a.m.
• 3 points

TOPICS IN SIGNAL PROCESSING

CLASS&QUANTUM ERROR COR

• Department: Electrical Engineering
• T 1:10 p.m.-3:40 p.m.
• Instructor: Hui Jin
  Info
• 3 points

CLIMATE CRISIS & HOUSING CRISIS

CLIMATE CRISIS, HOUSING C

• Department: Architecture, Planning and Preservation
• W 6:30 p.m.-8:30 p.m.
• Instructor: Deborah Morris
  Info
• 3 points

TOPICS-INFORMATION PROCESSING

Ext Operating Sys

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.

• Department: Electrical Engineering
• F 1:10 p.m.-3:40 p.m.
• Instructor: Asaf Cidon
  h-index: 20 Info
• 3 points

MULTIFAMILY SITE ANALYSIS AND VALUATION

• Department: Architecture, Planning and Preservation
• R 4 p.m.-6 p.m.
• Instructor: Alex Barrett
  Info
• 1.5 points

TOPICS-INFORMATION PROCESSING

TPC:BIG DATA ANALYTICS

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Big Data Analytics.

• Department: Electrical Engineering
• F 7 p.m.-9:30 p.m.
• Instructor: Ching-Yung Lin
  h-index: None Info
• 3 points

TOPICS-INFORMATION PROCESSING

DATA CENTER PROCESSING

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.

• Department: Electrical Engineering
• MW 8:40 a.m.-9:55 a.m.
• Instructor: Tanvir Ahmed Khan
  Info
• 3 points

TOPICS-INFORMATION PROCESSING

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899. Topic: Quantum Computing and Communication.

• Department: Electrical Engineering
• M 4:10 p.m.-6:40 p.m.
• Instructor: Alexei Ashikhmin
  Info
• 3 points

RESEARCH

• Department: Architecture, Planning and Preservation
• Instructor: Danielle S Smoller
  Info
• 2-3 points

TPCS-ELEC & COMPUT ENGINEERING

Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.

• Department: Electrical Engineering
• MW 11:40 a.m.-12:55 p.m.
• Instructor: Savannah Eisner
  Info
• 3 points