Data, models, visuals; various facets of AI, applications in finance; areas: fund, manager, security selection, asset allocation, risk management within asset management; fraud detection and prevention; climate finance and risk; data-driven real estate finance; cutting-edge techniques: machine learning, deep learning in computational, quantitative finance; concepts: explainability, interpretability, adversarial machine learning, resilience of AI systems; industry utilization
This course will explore the historical, crosscultural and contemporary dimensions of various messianic/millenarian/apocalyptic ideologies and movements, and as such will offer students here at Columbia a comprehensive and in-depth examination and understanding of the many cults, religions, movements and manifestations that have arisen throughout the planet during the past 3,000 years, whose leaders and adherents sought, and most importantly continue to seek, the coming of a new utopian, godinfused age on earth that, in the vast majority of cases, is believed to be preceded by unprecedented global crises, wars and both human and material devastation (aka The Great Tribulations). Since it has been eight years since I last taught this course here at Columbia (which I taught, under various different titles, six times between the years1999 and 2016), it needs to be extensively updated to include the numerous Millennial/Apocalyptic
manifestations that have arisen globally during this more recent period of time, the most current one perhaps being the re-election of our once and future president, Donald J. Trump, whom many of his MAGA followers (particularly his hardline Evangelical base) believe to be the Second Coming of the “Messiah” as foretold in both the Hebrew Bible and the New Testament (or perhaps alternatively, the Beast or Anti-Christ depicted in the latter’s Book of Revelation).
Topics from generative and discriminative machine learning including least squares methods, support vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models and hidden Markov models. Algorithms implemented in MATLAB.
In this class we will consider the various forms and functions of humor in written prose, discussing techniques and approaches to humor writing. Students will write their own humorous stories and essays which we will read and discuss in class, focusing not only on what is or isn't funny, but on how humor can be advantageously used to increase the power of an overall piece. The class will also break down stories, novels, and essays from a variety of authors-Bill Hicks' political satire; the darkly comedic fiction of Barry Hannah and Paul Beatty; the absurd humor of Tina Fey and Baratunde Thurston; Anthony Lane's charming British snarkiness; Spy Magazine's sharply parodic voice; Woody Allen's one-liners; Lena Dunham's zeitgeist comedy-in an effort to better understand what makes their humor work. Students will be asked to write stories inspired and influenced by these authors. As we critique each other's work, we will investigate strategies related to the craft of humor writing, including self-deprecation, political satire, humor and the other, going blue, dark comedy, schtick, humor as a means vs. humor as an end, crossing the line, and how to write funny without sacrificing substance.
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.
Introduction to the mathematical tools and algorithmic implementation for representation and processing of digital pictures, videos, and visual sensory data. Image representation, filtering, transform, quality enhancement, restoration, feature extraction, object segmentation, motion analysis, classification, and coding for data compression. A series of programming assignments reinforces material from the lectures.
The interaction of intelligence and political decision-making in the U.S. other Western democracies, Russia and China. Peculiarities of intelligence in the Middle East (Israel, Iran, Pakistan). Intelligence analyzed both as a governmental institution and as a form of activity, with an emphasis on complex relations within the triangle of intelligence communities, national security organizations, and high-level political leadership. Stages and disciplines of intelligence process. Intelligence products and political decision-making. The function of intelligence considered against the backdrop of rapid evolution of information technologies, changing meaning of homeland security, and globalization. Particular emphasis on the role of intelligence in the prevention of terrorism and WMD proliferation.
Research training course. Recommended in preparation for laboratory related research.
Research training course. Recommended in preparation for laboratory related research.
Research training course. Recommended in preparation for laboratory related research.
Working with a faculty member and a team of 3-5 graduate or undergraduate students, students will have the opportunity to work on a small research project. Students can enroll ENGI E3900/4900 for zero credit, zero fees; students who wish to earn academic credit can enroll in the faculty member’s independent research course or Fieldwork. Specific requirements for the project are defined by the faculty members. Research groups meet weekly with their faculty member. Students are also encouraged to submit bi-weekly progress reports to the faculty member. Upon completion of the research project (end of July/beginning of August), each research team will participate in a research symposium to present their research and deliverables. Note: Enrollment in this course acknowledges the student’s participation in research with an Engineering faculty member.
Working with a faculty member and a team of 3-5 graduate or undergraduate students, students will have the opportunity to work on a small research project. Students can enroll ENGI E3900/4900 for zero credit, zero fees; students who wish to earn academic credit can enroll in the faculty member’s independent research course or Fieldwork. Specific requirements for the project are defined by the faculty members. Research groups meet weekly with their faculty member. Students are also encouraged to submit bi-weekly progress reports to the faculty member. Upon completion of the research project (end of July/beginning of August), each research team will participate in a research symposium to present their research and deliverables. Note: Enrollment in this course acknowledges the student’s participation in research with an Engineering faculty member.
Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.
Prerequisites: ECON UN3211 and ECON UN3213 and ECON UN3412 Selected topics in microeconomics.
The course examines the ocean's response to external climatic forcing such as solar luminosity and changes in the Earth's orbit, and to internal influences including atmospheric composition, the hydrological cycle, the cryosphere, and atmospheric and ocean circulation, using deep-sea sediments, corals, ice cores and other paleoceanographic archives. An analysis of the assumptions underlying the use of climate proxies and their interpretations will be presented. Particular emphasis will be placed on amplifiers of climate change during the alternating ice ages and interglacial intervals of the last few million years, such as natural variations in atmospheric "greenhouse gases" and changes in deep water formation rates, as well as mechanisms of rapid climate change during the late Pleistocene. The influence of changes in the Earth's radiation distribution and boundary conditions on the global ocean circulation, Asian monsoon system and El Nino/Southern Oscillation frequency and intensity, as well as interactions among these systems will be examined using proxy data and models. This course complements GU4937 Cenozoic Paleoceanography and is intended as part of a sequence with GU4330 Terrestrial Paleoclimate for students with interests in Paleoclimate.
This class is designed for the beginner student to gain working level knowledge of basic Spanish vocabulary, verb conjugation, and medical terminology for use in a clinical setting. In addition to short lectures to facilitate grammar and usage patterns, class time will be used for intensive speaking practice to improve pronunciation, enhance comprehension, and build confidence in using Spanish through the use of hypothetical scenarios, student presentations, and small group discussions to improve Spanish language and Spanish language proficiency.