This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language.
This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language.
Algorithms are created, decomposed, and expressed as pseudocode. The running time of various algorithms and their computational complexity are analyzed.
To remain competitive in rapidly evolving industries such as commercial real estate, financial services, fundraising, law, and genealogy—among others—you need to be aware of current and emerging best practices, obtain industry-standard credentials and certifications, and master changing technology.
The analysis and design of computer algorithms and their underlying data structures. Analysis of the timing and efficiency of algorithms. Study of lists, stacks, queues, trees, backtracking, searching, sorting and recursion.
This is a undergraduate level course in data structures. The course in intended for developing foundations in data structures with a focus on solving problems and building core data structures.
Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
The Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms.
Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem.
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