The document discusses basics of data structures and programming methodology. It defines data structures as representations of logical relationships between data elements that are used to maximize memory efficiency. An algorithm plus data structure equals a program. Data structures can be represented in memory or stored in files. Modular programming involves writing programs as independent functions with high cohesion and low coupling. Common data structures include arrays, vectors, lists, files, records, strings, linear and non-linear lists, stacks, queues, trees, and graphs. Dynamic memory allocation uses functions like malloc(), calloc(), realloc(), and free() while static allocation uses arrays. Memory management involves techniques such as free storage lists and garbage collection.