Institution: Yale
Lecturer: Prof. Donald Kagan
University Course Code: CLCV 205
Subject: #history #ancientgreece
Description: This is an introductory course in Greek history tracing the development of Greek civilization as manifested in political, intellectual, and creative achievements from the Bronze Age to the end of the classical period. Students read original sources in translation as well as the works of modern scholars.

other discussions
 

Institution: Personal Project
Lecturer: N J Wildberger
University Course Code: na
Subject: #stats
Description: A brief introduction to Probability and Statistics. This short course will be aimed at advanced first year undergraduates, with good algebraic skills and some knowledge of calculus. We will discuss probabilities and odds, random variables, probability distributions (both discrete and continuous), for example the Binomial, Poisson and normal distributions, mean and variance and mention the Central Limit Theorem.

 

Institution: Yale.
Lecturer: Robert Shiller.
University Course Code: ECON 252.
Subject: #econ #economics #finance.
Description: An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the functioning of securities, insurance, and banking industries.

 

Institution: MIT
Lecturer: Esther Duflo
University Course Code: MIT 14.771
Subject: #econ
Description: This course provides rigorous introduction to core microeconomic issues in economic development, focusing on both key theoretical contributions and empirical applications to understand both why some countries are poor and on how markets function differently in poor economies. Topics include human capital (education and health); labor markets; credit markets; land markets; firms; and the role of the public sector.

 

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