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This online course gives an introduction to the concept of love and explores the idea of love as a force for social justice.

This online course explores greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...

Cryptography is an indispensable tool for protecting information in computer systems. This course explains the inner workings of cryptographic primitives and how to correctly...

This course intends to teach givers of all ages, backgrounds, incomes and experiences to give more effectively and will teach how to assess nonprofits, create a high-impact...

This online course (MOOC) explores gender identity and the gender spectrum by analyzing the real-life experiences of six transgender children and their families.

This course is a continuation of Crypto I and explains the inner workings of public-key systems and cryptographic protocols. Students will learn how to reason about the security...

This series of MOOCs explores the fundamentals of probabilistic graphical models.

This course examines contemporary child nutrition and the impact of the individual decisions made by each family. The health risks associated with obesity in childhood are also...

This online course explores data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search,...

This series of MOOCs gives an introduction to algorithms.

In this course students will learn about audio signal processing methodologies that are specific for music and of use in real applications. They will learn to analyse,...

This course is a basic introduction to Logic. It shows how to formalize information in form of logical sentences. It shows how to reason systematically with this information to...

This course teaches how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their...

This online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.