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This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
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This online course explores topics such as asymptotic notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and...
This online course gives an introduction to a variety of infectious diseases using a patient-centered, story-based approach. It includes various bacterial and viral infections.
This online course explores greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...
This online course explores the political, social, cultural, economic, institutional, and international factors that foster and obstruct the development and consolidation of...
Cryptography is an indispensable tool for protecting information in computer systems. This course explains the inner workings of cryptographic primitives and how to correctly...
In this introductory, self-paced course, students will learn multiple theories of organizational behavior and apply them to actual cases of organizational change.
This online course (MOOC) provides an overview of women's health and human rights.
This online course covers the basics of R: a free programming language and software environment used for statistical computing and graphics.
This online course (MOOC) teaches how to think like a mathematician. The course is not about traditional mathematical content, but rather about a certain way of thinking to...
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 online course explores the theory of automata and languages. It includes finite automata and the languages they can define, deterministic and nondeterministic automata,...
In this class, students will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
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 online course gives an introduction to palliative care. It explores what palliative care is, how to communicate with patients, show empathy, and practice difficult...
This online course gives an introduction to algorithms for learners with at least a little programming experience.
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 online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.
This online course explores data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search,...
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