Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

The purpose of gathering corporate information together in a single structure ... technology in data analysis is OLAP. OLAP servers organize data into multidimensional hierarchies, called cubes, for ...

Through these algorithms the student will be introduced to the analysis ... algorithm and asymptotic complexity through the O, big-Omega and big-Theta notations. In this module, the student will learn ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

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

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...