insoft

Cisco-opplæring

Insoft Services er en av få opplæringsleverandører i EMEAR som tilbyr hele spekteret av Cisco-sertifisering og spesialisert teknologiopplæring.

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Cisco Sertifisering

Opplev en blandet læringstilnærming som kombinerer det beste av instruktørledet opplæring og e-læring i eget tempo for å hjelpe deg med å forberede deg til sertifiseringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLC) er forhåndsbetalte opplæringskuponger innløst direkte med Cisco som gjør planleggingen for suksessen din enklere når du kjøper Cisco-produkter og -tjenester.

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Etterutdanning

Cisco Continuing Education Program tilbyr alle aktive sertifiseringsinnehavere fleksible alternativer for å resertifisere ved å fullføre en rekke kvalifiserte opplæringselementer.

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Cisco Digital Learning

Sertifiserte ansatte er verdsatte eiendeler. Utforsk Ciscos offisielle digitale læringsbibliotek for å utdanne deg gjennom innspilte økter.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på å skjerpe forretningsferdighetene til Cisco Channel Partners og kunder.

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Cisco opplæringskatalog

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Fortinet Sertifisering

Fortinet Network Security Expert (NSE)-programmet er et opplærings- og sertifiseringsprogram på åtte nivåer for å lære ingeniører om nettverkssikkerheten for Fortinet FW-ferdigheter og -erfaring.

Tekniske kurs

Fortinet-opplæring

Insoft er anerkjent som Fortinet Autorisert Opplæringssenter på utvalgte steder i EMEA.

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Fortinet opplæringskatalog

Utforsk et bredt utvalg av Fortinet Schedule på tvers av forskjellige land så vel som online kurs.

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ATC-status

Sjekk atc-statusen vår på tvers av utvalgte land i Europa.

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Pakker for Fortinet-tjenester

Insoft Services har utviklet en spesifikk løsning for å effektivisere og forenkle prosessen med å installere eller migrere til Fortinet-produkter.

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Microsoft-opplæring

Insoft Services gir Microsoft opplæring i EMEAR. Vi tilbyr Microsofts tekniske opplærings- og sertifiseringskurs som ledes av instruktører i verdensklasse.

Tekniske kurs

Extreme-opplæring

Lær eksepsjonell kunnskap og ferdigheter i ekstreme nettverk.

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Teknisk sertifisering

Vi tilbyr omfattende læreplan over tekniske kompetanseferdigheter om sertifiseringsprestasjonen.

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Extreme opplæringskatalog

Tekniske kurs

ATP-akkreditering

Som autorisert opplæringspartner (ATP) sørger Insoft Services for at du får de høyeste utdanningsstandardene som er tilgjengelige.

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Løsninger og tjenester

Vi tilbyr innovativ og avansert støtte for design, implementering og optimalisering av IT-løsninger. Vår kundebase inkluderer noen av de største Telcos globalt.

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Globalt anerkjent team av sertifiserte eksperter hjelper deg med å gjøre en jevnere overgang med våre forhåndsdefinerte konsulent-, installasjons- og migrasjonspakker for et bredt spekter av Fortinet-produkter.

Om oss

Insoft Tilbyr autoriserte opplærings- og konsulenttjenester for utvalgte IP-leverandører. Finn ut hvordan vi revolusjonerer bransjen.

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    • Beginning Java Data Structures and Algorithms

    Enroll Now
    Duration
    2 Dager
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørsel
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
    Overview
    The Beginning Java Data Structures and Algorithms course introduces different algorithmic techniques in each chapter. It does this by describing example problems and providing Java implementations where appropriate.

    Choosing the right algorithms and data structures for real-world software development problems helps to keep solutions simple and efficient. In this two-day course, we explore various core algorithms and provide detailed implementations.

    The course provides a base understanding of runtime complexity theory and then gradually exposes the reader to various methods and concepts on the subject. Each chapter is designed to build on the learnings of the previous ones.

     

    This course is packed with the theory and hands-on activities that will help cement the foundation of algorithms and data structures. Algorithms and data structures are the lifeblood of programming. They enable the programmers to write the code that handles the data efficiently.

    Lesson 1: Algorithms and Comlilexities

    • Developing our first algorithm
    • algorithmic complexity with Big O notation
    • Identifying algorithms with different complexities

    Lesson 2: Sorting Algorithms and Fundamental Data Structures

    • Introducing bubble sort
    • Understanding quick sort
    • Using merge sort
    • Getting started with fundamental data structures

    Lesson 3: Hash Tables and Binary Search Trees

    • Introducing hash tables
    • Getting started with binary search trees

    Lesson 4: Algorithm Design paradigms

    • Introducing greedy algorithms
    • Getting started with divide and conquer algorithms
    • Understanding dynamic programming

    Lesson 5: String Matching Algorithms

    • Beginning naive search algorithm
    • Getting started with the Boyer-Moore string searching algorithm
    • Introducing other string matching algorithms

    Lesson 6: Graphs, Prime Numbers, and Complexity Classes

    • Representing graphs
    • Traversing a graph
    • Calculating shortest paths
    • Prime numbers in algorithms
    • Other concepts in graphs
    • Understanding complexity classes of problems

    The target audience of this course is Java beginners who want to estimate the efficiency of the code and understand different algorithm techniques beneficial for a broad set of tasks. It is expected that the audience has a basic understanding of object-oriented programming techniques.

    Hardware

    This Java Data Structures and Algorithms course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

    • Processor: i3
    • Memory: 2 GB RAM
    • Hard disk: 10 GB
    • Internet connection

     

    Software

    • Operating system: Windows 8 64“bit or MacOS
    • A text editor:  Notepad++
    • A terminal: Command Prompt or PowerShell on Windows or Terminal on macOS
    • A run-time environment: Java Runtime Environment(JRE) 1.6 or higher
    • A software development kit: Java SE Development Kit, JDK 8 (or a later version)
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