Note: This course description ... for the most up to date information. Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays).
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Complete these three courses in the for-credit experience: CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming ...
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 ...
Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...
The following master data elements and financial structure are clearly defined. It is important for finance staff to understand what each element represents, how elements are classified and are used ...
And they’re useless if you want to combine different data types together. Luckily, C provides us with proper alternatives out of the box. This write-up will introduce structures and unions in C ...
The fundamental data structure in a data processing system. Any unit of data defined for processing is a data element; for example, ACCOUNT NUMBER, NAME, ADDRESS and CITY. A data element is ...
And so on, up to score10. While possible, this is not a practical method of recording this data. Suppose the program needed to record 100 scores? 100 variables would be required!
ENSDF is a database that contains evaluated nuclear structure and decay information for over 3,000 nuclides. An international network of evaluators regularly contributes to the database, which is ...