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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer.
17 h
COVID-19 Training for Healthcare Workers
The course is self-paced, so providers can fit their learning around their schedules. Topics covered include symptoms and signs in COVID-19 patients, early patient stabilisation, avoiding the need for intubation, and ventilator management.
8 h
International Women's Health and Human Rights
Learn International Women's Health and Human Rights from Stanford University.
58 h
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Learn Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University.
15 h
Graph Search, Shortest Paths, and Data Structures
Learn Graph Search, Shortest Paths, and Data Structures from Stanford University. The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives .
15 h
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson).
14 h
AI in Healthcare Capstone
This capstone project takes you on a guided tour of all the concepts we've covered so far in the various classes. We designed this experience around the journey of a patient who develops some respiratory symptoms and seeks care with a primary care provider due to concerns about COVID19.
11 h
Details about Stanford University free courses and classes online
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Collection of free Stanford University Courses and MOOCs online
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