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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 discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
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 discusses advanced concepts of Game Theory.The course includes social choice theory (i.e., collective decision making), mechanism design, and auctions. (Note:...
This online course explores some basic recipes from a home cook and two professional chefs who prioritize healthful eating.
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 online course explores data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search,...
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 (MOOC) provides an overview of women's health and human rights.
This series of MOOCs gives an introduction to algorithms.
This online course teaches scientific writing. It includes topics such as the format of a scientific manuscript, peer review, grant writing, and ethical issues in scientific...
This online course (MOOC) gives an introduction to Game Theory. The course covers the basic concepts, such as representing games and strategies, the extensive form (game trees),...
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 greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...
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