Brief Description of Course Content Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm ...

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

Algorithms and Data Structures: Introduction to algorithm design, analysis, and basic data structures. Imperative Programming: Introduction to programming using imperative languages (like C).

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 ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

Click each topic area to learn more about specific courses. Provides students with a comprehensive survey of technologies used today in the collection, storage, processing, analytics and display of ...