Three-Course MS-CS Pathway (3 credits) You may complete the three courses below from the Foundations of Data Structures and Algorithms specialization as a pathway to MS-CS degree admission. You must ...

View the Masters in Data Science Core Courses and Electives listing and ... with an emphasis on basic programming techniques in Python. Students will learn the fundamentals of data structures and ...

The course demonstrates applications of these concepts in a number of contexts such as the sorting of arrays, and the use of hash-tables for approximate counting. Some advanced topics, such as the ...

Choose any 3 of the following 4 courses, 3 credits each. 22:544:643 Information Security; 22:544:603 Business Data Management; 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining ...

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 ...

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

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

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 ...

This course is compulsory on the BSc in Data Science and BSc in Mathematics with Data Science. ... Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: ...