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Columbia University is an Ivy League school located in NYC providing a world-class education in a diverse and vibrant learning community.
Learn about the political, social, and economic changes in the Union and the Confederacy and the Civil War’s long-term economic and intellectual impact.
Aprende a resolver problemas de finanzas cuantitativas con Columbia University. Cubre precios de derivados, asignación de activos, optimización de portafolios y trading algorÃtmico en 30 semanas.
Explore construction industry trends, challenges, and transformations. Learn about technological innovations, sustainability, and strategies for industry advancement in this comprehensive overview.
Explore fixed income securities, derivatives, and pricing models. Learn probability, optimization, and risk management fundamentals. Apply binomial and Black-Scholes models to price options and other financial instruments.
Explore imaging fundamentals, from lens cameras to image sensors, covering optical characteristics, color sensing, and image processing techniques for improved computer vision systems.
Rigorous mathematical exploration of causal inference methods, including randomization, regression, propensity scores, and matching. Ideal for understanding and applying causal relationships in various fields.
Explore term structure models, credit derivatives, and mortgage-backed securities. Learn to calibrate models, price instruments, and understand securitization in fixed income markets.
Explore image feature and boundary detection techniques, from edge and corner detection to SIFT and face detection. Learn to apply these methods in panorama stitching and object recognition.
Explore optimization methods in asset management, covering Mean-Variance Analysis, CAPM, risk measurements, ETFs, and transaction costs modeling for practical portfolio construction and risk management.
Explore computational methods for pricing options and interest rate products, including numerical techniques, model calibration, and real-world applications using Python. Learn to analyze and implement various financial models.
Explore 3D scene reconstruction from a fixed viewpoint using techniques like shape from shading, photometric stereo, depth from defocus, and active illumination for various applications.
Explore 3D scene reconstruction from multiple viewpoints, covering camera calibration, stereo vision, optical flow, and structure from motion for applications in robotics, VR, and AR.
Explore visual perception in computer vision, covering object tracking, image segmentation, appearance matching, and neural networks for advanced image analysis and recognition.
Explore health informatics for care coordination, value-based care, and patient-centered approaches. Gain insights into data analytics and interoperability to enhance healthcare delivery and decision-making.
Explore advanced derivative pricing, including Black-Scholes model, Greeks, risk management, implied volatility, credit derivatives, and real options. Gain practical skills for equity and credit markets.
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