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 ...

Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R.

DTSA 5502 Trees and Graphs: Basics DTSA 5503 Dynamic Programming, Greedy Algorithms - Same as CSCA 5414 Total: 3 credits Want to learn more? Click the button below to watch the Data Science ...

Inodes store metadata and pointers to data blocks, block sizes determine the granularity of data storage, and various data structures organize and manage data within the filesystem. A solid ...