Economic statecraft, or the use of economic policy instruments in attempts at influence, has become increasingly germane to international diplomacy and security. China has developed from a target of economic statecraft, as seen in sanctions on China after the Tiananmen crackdown in 1989, to an active user of economic statecraft. This course traces that shift, including China’s entry into the World Trade Organization in 2001, increasing participation in multilateral sanctions on other states, and accelerated trade and investments with all regions of the world. We will review different forms and possible drivers of China’s economic statecraft, such as China’s deployment of restrictions on trade and tourism, consumer boycotts, and the launch of the Belt and Road Initiative in 2013. We then consider the effectiveness of China’s economic statecraft, including the reactions of foreign governments, public opinion, and international organizations, and the intersection of economic statecraft and identity issues. Students will be able to identify change and continuity in China’s approach toward economic statecraft, conceptualize and evaluate the causes and consequences of economic statecraft in written essays and a group debate, and develop expertise on specific issue areas and countries in relation to China’s economic statecraft.
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
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).
This graduate seminar course provides an overview of modern and contemporary Japanese foreign policy and the strategy behind its engagement with the world. It examines the following questions: What are the key determinants of Japanese foreign policy, and how have they evolved over time? How should Japan approach, navigate, and shape the increasingly uncertain strategic environment in the Indo-Pacific in the years ahead, including China’s growing power, the shifting role of the U.S.-Japan alliance, and the intensifying great power rivalry? In the first few weeks of the course, we will cover the making of modern Japan and the enduring themes that have long animated Japan’s strategic thinking. In the following weeks, we will survey Japan’s foreign policies toward key countries and regions while discussing topics relevant to the respective relationships, such as security, trade, identity, historical memory, and values and norms. Each week, we will identify Japan’s ends, ways, and means in its approach to a particular region or issue and end our class by discussing current policy questions Japan faces.
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.
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.
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.
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.
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.
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.
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.
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.
Software or hardware projects in computer science. Before registering, the student must submit a written proposal to the instructor for review. The proposal should give a brief outline of the project, estimated schedule of completion, and computer resources needed. Oral and written reports are required. May be taken over more than one semester, in which case the grade will be deferred until all 12 points have been completed. No more than 12 points of COMS E6901 may be taken. Consult the department for section assignment.
Selected topics in electrical and computer engineering. Content varies from year to year, and different topics rotate through the course numbers 6900 to 6909.
Prerequisites: ECON G6211 and ECON G6212 or the instructors permission. This course covers topics at the frontier of international trade research, placing an emphasis on theory. Previous topics include: trade patterns, offshoring, inequality, unemployment, trade and matching, firm organization, and trade policy.
How can we define the image in the digital age? Can we (still) believe our eyes? What is underneath the image? As we will see in this course, these fundamental questions are not new within the history of media. Through the ages, the image has been questioned and redefined as image, surface, visual representation, index, etc. Philosopher Vilém Flusser once remarked that the composite essence of digital technology was already embedded in photography because the photographic image is an image composed of points, which the human eye synthesizes into an image. This course revisits Flusser’s notion of the “technical image” and proposes to rethink the image beyond its visual dimensions, from the perspectival image of the Renaissance to the AI-generated image of today. Instead of following a strict chronological path, we will delve into various theoretical debates on “what is an image?” – ranging from the binary image of textile to the haptic image of video art, from the technological image of the optical toy to the operational image of surveillance and warfare. Both mainstream and experimental films will be analyzed and discussed as critical interventions in the history of image technologies.
Prerequisites: calculus. Recommended preparation: linear algebra, statistics, computer programming. Introduction to the fundamentals of quantitative data analysis in Earth and environmental sciences. Topics: review of relevant probability, statistics and linear algebra; linear models and generalized least squares; Fourier analysis and introduction to spectral analysis; filtering time series (convolution,deconvolution,smoothing); factor analysis and empirical orthogonal functions; covariance and correlation; methods of interpolation; statistical significance and hypothesis testing; introduction to Monte Carlo methods for data analysis. Problem sets and term project require use of MATLAB or Python.
Final report required. This course may not be taken for pass/fail credit or audited.
This fall course, taken by the entire M.A. class, teaches a disciplined “journalistic method” of testing assumptions and making sure that reporting firmly proves its points.
Students develop useful skills for working with statistics, using academic research and conducting in-depth interviews. They are also taught to carefully combine anecdote and narrative with the big picture in their writing.
This course takes a problem-identification and problem-solving approach to the delivery of social work services in health, mental health, and disabilities, with content about the social policies and organizational structures that characterize our current healthcare system.
This course takes a problem-identification and problem-solving approach to the delivery of social work services in health, mental health, and disabilities, with content about the social policies and organizational structures that characterize our current healthcare system.
This proposed course allows for a variety of potential advanced courses to be taught as part of the proposed concentration on control.
Prerequisites: EESC W4008, APPH E4210, and advanced calculus, or the instructor's permission. This course is a continuation of Geophysical Fluid Dynamics (APPH E4210) which is a prerequisite for this course. Exploration of atmospheric circulation based upon oabservations and interpretive models. Topics include wave/mean-flow interaction (the equilibration of instabilities and the wave-driven contribution to meridional transport), zonally symmetric circulations (Hadley and Ferrel Cells), maintenance of the mid-latitude circulation through extratropical cyclones, the zonally asymmetric circulation (stationary waves and storm tracks), and the stratospheric circulation (the quasi-biennial oscillation and meridional transport).
Prerequisites: Previous coursework in atmosphere and/or ocean physics and/or chemistry, and GR6901 or equivalent programming experience; or permission of instructor. This course teaches students to design and apply idealized models of various levels of complexity to study fundamental properties of climate system processes and their interactions. Though these models typically are based in only a handful of interacting differential equations or highly simplified mechanisms, they can significantly advance process understanding. We cover three topical areas: (1) the role of the ocean in regulating atmospheric carbon dioxide on glacial-interglacial and modern historical timescales, (2) the influence of key climate system feedbacks on the Earth’s energy balance, and (3) what determines the vertical distribution of temperature and humidity in the atmosphere, and what this implies about the sensitivity of temperature to external forcing. Throughout the course, emphasis is placed on identifying assumptions underlying conclusions drawn from simple models and the time scales over which different processes operate.
Looked at one way, the history of cinema is a series of death knells. While the rhetoric of crisis is especially acute today, with the very existence of movie theaters imperiled by the dominance of streaming services, predictions of cinema’s demise are as old as the medium itself — one of its inventors is said to have called it “an invention without a future” and its evolution is marked by moments of technological and cultural change that were perceived or experienced as existential threats.
This course traces the arc of cinema through its many supposed deaths: the industrialization of movies, the arrival of sound, the threat of television and the home theater, the compensatory innovations of color and widescreen and CGI, the rise of media conglomeration, the invention of digital technology, the migration of the moving image into ever more settings and contexts (galleries, portable devices, the virtual realm), and so on. We will explore the circumstances that led to these inflection points and the ways in which each threshold period of change reshaped the landscape and language of cinema. We will also consider the periodic death throes (and various afterlives) of film criticism, film theory, and cinephilia.
Provides students the opportunity to present work in progress or final drafts to other students and relevant faculty to receive guidance and feedback.
MRST Directed Readings, Independent study. Students should meet with the Program Director and Program Manager before registering for this course.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.