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Cisco træning

Insoft Services er en af de få uddannelsesudbydere i EMEAR, der tilbyder hele spektret af Cisco-certificering og specialiseret teknologiuddannelse.

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Cisco-certificeringer

Oplev en blandet læringsmetode, der kombinerer det bedste fra instruktørstyret træning og e-læring i eget tempo for at hjælpe dig med at forberede dig til din certificeringseksamen.

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Cisco Learning Credits

Cisco Learning Credits (CLCs) er forudbetalte træningskuponer, der indløses direkte med Cisco, og som gør det nemmere at planlægge din succes, når du køber Cisco-produkter og -tjenester.

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Cisco Efteruddannelse

Cisco Continuing Education Program tilbyder alle aktive certificeringsindehavere fleksible muligheder for at gencertificere ved at gennemføre en række kvalificerede træningselementer.

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Cisco Digital Learning

Certificerede medarbejdere er VÆRDSATTE aktiver. Udforsk Ciscos officielle digitale læringsbibliotek for at uddanne dig selv gennem optagede sessioner.

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Cisco Business Enablement

Cisco Business Enablement Partner Program fokuserer på at skærpe Cisco Channel Partners og kunders forretningsmæssige færdigheder.

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Cisco kursuskatalog

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Fortinet-certificeringer

Fortinet Network Security Expert (NSE) -programmet er et otte-niveau uddannelses- og certificeringsprogram for at undervise ingeniører i deres netværkssikkerhed for Fortinet FW-færdigheder og erfaring.

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Fortinet træning

Insoft er anerkendt som Autoriseret Fortinet Training Center på udvalgte steder på tværs af EMEA.

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Fortinet kursuskatalog

Udforsk hele Fortinet-træningskataloget. Programmet omfatter en bred vifte af selvstændige og instruktørledede kurser.

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ATC-status

Tjek vores ATC-status på tværs af udvalgte lande i Europa.

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Fortinet Professionelle Services

Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

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Microsoft træning

Insoft Services tilbyder Microsoft-undervisning i EMEAR. Vi tilbyder Microsoft tekniske kurser og certificeringskurser, der ledes af instruktører i verdensklasse.

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Extreme træning

Find all the Extreme Networks online and instructor led class room based calendar here.

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Tekniske certificeringer

Vi leverer omfattende læseplan for tekniske kompetencefærdigheder på certificeringspræstationen.

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ATP-akkreditering

Som autoriseret uddannelsespartner (ATP) sikrer Insoft Services, at du får de højeste uddannelsesstandarder, der findes.

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Løsninger og tjenester

Vi leverer innovativ og avanceret support til design, implementering og optimering af IT-løsninger. Vores kundebase omfatter nogle af de største Telcos globalt.

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Globalt anerkendte team af certificerede eksperter hjælper dig med at gøre en mere jævn overgang med vores foruddefinerede konsulent-, installations- og migreringspakker til en lang række Fortinet-produkter.

Om os

Insoft tilbyder autoriseret uddannelses- og konsulentbistand til udvalgte IP-leverandører. Få mere at vide om, hvordan vi revolutionerer branchen.

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    • Beginning Java Data Structures and Algorithms

    Enroll Now
    Duration
    2 Dage
    Delivery
    (Online Og På stedet)
    Price
    Pris på forespørgsel
    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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