The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
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The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
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Top-Bewertungen von GREEDY ALGORITHMS, MINIMUM SPANNING TREES, AND DYNAMIC PROGRAMMING
Like the other courses in this specialization, the material is interesting and coherent. The pace is not fast enough to get lost and not so slow to insult your intelligence. I enjoyed it a lot!
A very good and challenging course. A great introduction to dynamic programming with many examples to practice and learn multiple programming paradigms.
A bit more difficult course comparing to the first two parts. Be prepared to spend more times on problem solving and programming assignments.
This course has wonderful lectures coupled with challenging but rewarding homework problems. It was a wonderful learning experience.
Über den Spezialisierung Algorithmen
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
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