and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences Greedy Algorithms Dynamic Programming Algorithms Algorithms ...

The course includes a significant practical component covering the implementation and application of important data structures and algorithms. The fourth number of the course code shows the level of ...

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being ...

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 ...