Examples of using Algorithms and data structures in English and their translations into Greek
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Computer
Algorithms and Data Structures.
Implementations for various algorithms and data structures.
Algorithms and Data Structures.
Design and analysis of algorithms and data structures.
Algorithms and data structures II.
Implementation and experimental study of algorithms and data structures.
Algorithms and Data structures I.
Efficient implementation and experimental evaluation of classic and advanced algorithms and data structures.
Algorithms and Data Structures, programs, programming languages.
Robert Tarjan For fundamental achievements in the design and analysis of algorithms and data structures.
Understand how algorithms and data structures are used in solving real world problems.
With Robert E Tarjan,for fundamental achievements in the design and analysis of algorithms and data structures.
STL is a general purpose library of algorithms and data structures that is based on a concept known as generic programming.
On the one hand, the knowledge base grows incrementally as programmers and researchers invent new algorithms and data structures.
Computer scientists use algorithms and data structures to harness the incredible processing power of modern computers towards constructive ends.
Object oriented languages(OOP for short) included all the features of structured programming and added still more powerful ways to organize algorithms and data structures.
It can be defined as the systematic study of algorithms and data structures for geometric objects, with a focus on exact algorithms that are asymptotically fast.
And because this class merges ideas from both probability theory and computer science, it's really important you have some background in algorithms and data structures.
The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications.
Additionally, during the first semesters, introduction to structural and object-oriented programming, algorithms and data structures as well as operating systems are offered.
This degree focuses on the traditional foundations of Computer Science which include heavy concentrations of programming and mathematics along with computer organization and architecture,operating systems, algorithms and data structures, and networking.
As computer programming is also a matter of style and self-interest, this course focuses on fundamental topics such as abstraction, algorithms and data structures using a variety of programming languages including C, JavaScript and Python, offering the choice of a future self-development.
Specific subjects in the different subprograms: Mathematics of Engineering: Numerical analysis, solutions of differential equations Linear models and applications Numerical mathematics Stochastic processes Mathematics of Finance:Statistics Stochastic systems Financial science Mathematics of Computer Science: Data mining Mathematical theory of networks Theory of complexity Design, analyzing and implementation of algorithms and data structures Cryptography and data security Information theory Codesand symmetric structures…[-].
Additionally, during the first semesters, introduction to structural and object-oriented programming, algorithms and data structures and operating systems courses are offered.
Description: Teaching lab courses for winter and spring semesters of 2010-2011 on“Introduction to computer programming and the C language”,“Algorithms and Data Structures” and“Data Bases”.
A graduate has knowledge in all important areas of theoretical computer science and artificial intelligence such as design and analysis of algorithms and data structures, processing big data and solving complex problems requiring the integration of more approaches.
Using the C language it explains concepts such as the compilation stages, the memory and filesystem management, as well as the implementation of algorithms and data structures in order to model complex problems.
The Bachelor of Science in Computer Science degree offers a curriculum in the study of the software aspects of computer systems including the study of algorithms and data structures, programming languages, software methodology and tools, data management and analysis.
The curricular focus is a set of courses concentrating on the skills necessary for the analysis of mathematically-oriented problems and the development of algorithms and data structures to solve those problems using computers.
The course is focused on technical proficiency and will provide you with the skills to build and manage computer systems,including knowledge of Java for programming, algorithms and data structures, the fundamentals of system design engineeringand fundamental IT-related mathematics…[-].