Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy ...

This course is available with permission to General Course students. Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing ...

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Topics include hardware, software, algorithms, operating systems, networks. An introduction to computer programming motivated by the analysis of biological data sets and the modeling of biological ...

This course provides an introduction to algorithm design through a survey of the common algorithm design paradigms of greedy optimization, divide and conquer, dynamic programming, network flows, ...

The module starts with a broad introduction to data structures and talks about some simple data structures such as first-in first out queues and last-in first out stack. Next, we introduce the heap ...