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 Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

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

and design of algorithms for data structure processing; binary trees, recursion; sorting, searching methods. Prerequisites: CS 214 with a grade of C- or better and MATH 128 or equivalent. IAI: CS 912.

22:544:613 Introduction to Data Structures and Algorithms or 16:198:512 - Introduction to Data Structures and Algorithms The MITA students are allowed to take any Ph.D. level course offered in the ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

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