This course covers essential topics in greedy algorithms and dynamic programming. You'll explore greedy algorithms for tasks such as scheduling, finding minimum spanning trees, clustering, and Huffman coding. Additionally, you'll delve into dynamic programming techniques for solving problems like the knapsack problem, sequence alignment, and optimal search trees. These topics provide a strong foundation in algorithm design and problem-solving strategies.
🆓 Free to Audit
🕒 Approx. 15 Hours
✏️Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Stanford University via Coursera
