Institution: MIT
Lecturer: Paige Bright
University Course Code: MIT 18.S190
Subject: #math #metricspaces
Description: How do we go from real analysis on Euclidean space to more general settings? We use metric spaces! In this six-lecture course we develop the general theory of metric spaces, including compact sets, complete metric spaces, and much more.

Institution: MIT
Lecturer: Dr. Casey Rodriguez
Course Code: MIT 18.100A
Subject: #math
Description: This course covers the fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and the interchange of limit operations. It shows the utility of abstract concepts through a study of real numbers, and teaches an understanding and construction of proofs.

Institution: Yale
Lecturer: John Geanakoplos
University Course Code: ECON 251
Subject: #economics #finance
Description: This course attempts to explain the role and the importance of the financial system in the global economy. Rather than separating off the financial world from the rest of the economy, financial equilibrium is studied as an extension of economic equilibrium. The course also gives a picture of the kind of thinking and analysis done by hedge funds.

Institution: MIT
Lecturer: Prof. Norvin A. Richards
University Course Code: MIT 24.900
Subject: #linguistics
Description: This class provides some answers to basic questions about the nature of human language. Throughout the course, we examine a number of ways in which human language is a complex but law-governed mental system. Much of the class is devoted to studying some core aspects of this system in detail; we also spend individual classes discussing a number of other issues, including how language is acquired, how languages change over time, language endangerment, and others.

Institution: Yale
Lecturer: Paul H. Fry
University Course Code: ENGL 300
Subject: #lit #literature
Description: This is a survey of the main trends in twentieth-century literary theory. Lectures will provide background for the readings and explicate them where appropriate, while attempting to develop a coherent overall context that incorporates philosophical and social perspectives on the recurrent questions: what is literature, how is it produced, how can it be understood, and what is its purpose?

Institution: DeepMind x UCL
Lecturer: Hado van Hasselt
University Course Code: na
Subject: #machinelearning #ml

Institution: Yale
Lecturer: Ron Smith
University Course Code: GG 140
Subject: #climate #earthscience
Description: This course explores the physical processes that control Earth's atmosphere, ocean, and climate. Quantitative methods for constructing mass and energy budgets. Topics include clouds, rain, severe storms, regional climate, the ozone layer, air pollution, ocean currents and productivity, the seasons, El Niño, the history of Earth's climate, global warming, energy, and water resources.

Institution: MIT
Lecturer: many
University Course Code: MIT 6.S191
Subject: #machinelearning #ml #deeplearning
Description: MIT's introductory program on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Program concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

Institution: Yale
Lecturer: Ben Polak
University Course Code: Econ 159
Subject: #econ #economics
Description: This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.