Programming Practice Challenge yourself with Python programming assignments Theory & Application Learn and apply key theorietical concepts Award-Winning Content Problem-solve and test with Jupyter ...

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 ...

Descriptions COMP_SCI 214: Data Structures and Algorithms VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 111 and (COMP_SCI 150 or 211). Prerequisites are strict. Stat 201 is *not* a ...

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

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...