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WINTER INTERNSHIP TRAINING PROGRAM

Take a step forward and boost your career by joining this program with hands on
exposure to realtime projects

 * Explore


WHAT WISSENAIRE OFFERS


DATA STRUCTURES
& ALGORITHM

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Data Structure can be defined as the group of data elements which provides an
efficient way of storing and organising data in the computer so that it can be
used efficiently. Algorithms act as an exact list of instructions that conduct
specified actions step by step in either hardware- or software-based routines


DATA ANALYTICS

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Data analytics is the process of exploring and analyzing large datasets to find
hidden patterns, unseen trends, discover correlations, and derive valuable
insights to make business predictions. It improves the speed and efficiency of
your business.


CYBER SECURITY &
ETHICAL HACKING

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Cybersecurity is the practice of protecting systems, networks, and programs from
digital attacks. These cyberattacks are usually aimed at accessing, changing, or
destroying sensitive information; extorting money from users; or interrupting
normal business processes.


ANDROID
DEVELOPMENT

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Android development is the process by which applications are created for devices
running the Android Operating System. Android apps can be built using Kotlin,
Java, and C++ languages using the Android Software development kit


FULL STACK
WEB DEVELOPMENT

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Web developers create and maintain websites. They are also responsible for the
site's technical aspects, such as its performance and capacity, which are
measures of a website's speed and how much traffic the site can handle. In
addition, web developers may create content for the site.


MACHINE LEARNING

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Machine learning is an application of AI that enables systems to learn and
improve from experience without being explicitly programmed. Machine learning
focuses on developing computer programs that can access data and use it to learn
for themselves.


BENEFITS

Internship letter from ICS group

Certificate from wissenaire, IIT BHUBANESWAR

Free Summer Internship training program ( Merit based)

Life time access to Video recordings and reading materials

Get a discount of 20% on any 2 upcoming wissenaire competitions

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DATA STRUCTURES AND ALGORITHMS

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 * MODULE 01INTRODUCTION
   
    *   Algorithms
    *   Fundamental questions about algorithms
    *   Data structures, abstract data types, design patterns
    *   Textbooks and web-resources
    *   DP (Dynamic programming)
    *   Tyoes of Hackers
    *   Overview


 * MODULE 02ARRAYS
   
    *   Arrays
    *   Loops and Iteration
    *   Insertion, Searching, Deletion


 * MODULE 03LISTS, RECURSION, STACKS, QUEUES
   
    *   Array List, Linked List
    *   Reversing Linked List, Circular Linked List, Doubly Linked listr
    *   Recursion
    *   Stacks
    *   Queues


 * MODULE 04SEARCHING
   
    *   Requirements for searching
    *   Specification of the search problem
    *   A simple algorithm: Linear Search
    *   A more efficient algorithm: Binary Search


 * MODULE 05EFFICIENCY AND COMPLEXTIY
   
    *   Time versus space complexity
    *   Worst - Average - Best complexity comparison
    *   Concrete measures for performance
    *   Omega, Theta, Big O notations
    *   Big-O notation for complexity class


 * MODULE 06TREES
   
    *   Download To know more


 * MODULE 07BINARY SEARCH TREES
   
    *   Download To know more


 * MODULE 08PRIORITY QUEUES AND HEAP TREES
   
    *   Download To know more


 * MODULE 09SORTING
   
    *   Download To know more


 * MODULE 10HASH TABLES
   
    *   Download To know more


 * MODULE 11GRAPHS
   
    *   Download To know more


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION


DATA ANALYTICS

Register Download


 * MODULE 01INTRODUCTION TO DATA
   
    *   Introduction to Python Programming for Data Analytics
    *   Variables, Data type (int, float string), Operators & Practice questions
    *   List, Tuple data type Conditional block
    *   Loops while , Loops implementation with list, dictionaries, tuples ,
    *   Functions, key-value argument , Recursion, Lamda function...
    *   Download to know more


 * MODULE 02DATA VISUALIZATION FOR MACHINE LEARNING
   
    *   Data Visualization and EDA
    *   Data Manipulation and Cleaning
    *   Web Scraping
    *   Download to know more


 * MODULE 03MACHINE LEARNING TYPES
   
    *   Types of ML: Supervised, Unsupervised & Reinforcement learning...
    *   Download to know more
    *   Download to know more


 * MODULE 04NLP , LOGISTIC REGRESSION & KNN
   
    *   Introduction to NLP
    *   Introduction to Logistic Regression
    *   Introduction to KNN
    *   Introduction to Model Perfomance
    *   Introduction to Unsupervised Learning
    *   Download to know more


 * MODULE 05INTRODUCTION TO DEEP LEARNING
   
    *   Neural Networks
    *   Convolutional Neural Networks
    *   Download to know more


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION


CYBER SECURITY AND
ETHICAL HACKING LVL 1

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 * MODULE 01BASICS OF CYBER SECURITY AND ETHICAL HACKING
   
    *   Introduction to Ethical Hacking
    *   Case Studies
    *   Elements of Information Security
    *   Threat Categories
    *   Methodologies/Phase of Ethical Hacking
    *   Tyoes of Hackers
    *   Vulnerability, Threat and Exploit


 * MODULE 02NETWORKING CONCEPTS
   
    *   Basics of Networking from WAN
    *   IP Address v4 and v6
    *   Ports and Services
    *   Tracking an IP Adress
    *   Measuring the Bandwidth of your Network
    *   Proxy and all its types


 * MODULE 03ATTACK SCENARIOS
   
    *   IP and Port scanning
    *   Working on a Live Router
    *   Network Scanning internal and external
    *   Understanding Network Devices like Switch/Repeater
    *   Default Password Attack
    *   Securing on Organizational Network
    *   Securing a Home Network
    *   Tool for Smartphone for Network Security


 * MODULE 04INFORMATION GATHERING
   
    *   WHOIS and Way Back Machine
    *   Extracting Information from SNMP
    *   DNS Enumeration
    *   Service Discovery Through Ports
    *   LDAP and NTP Enumeration
    *   Security from Enumeration


 * MODULE 05BASICS OF GOOGLE ETHICAL HACKING
   
    *   What is Google Hacking
    *   Searching for Open Cameras by Google Hacking


 * MODULE 06ANTIVIRUS
   
    *   What is Virus
    *   Virus and its types
    *   Virus and Worm
    *   Malware Detection
    *   Demostrating Virus
    *   Scanning a file with different antivirus for free
    *   Recommending an Antivirus for your Complete Security


 * MODULE 07STOLEN LAPTOP OR MOBILE TRACING
   
    *   Recommended Tools to install on your Mobile or Laptop
    *   VTracing your lost device
    *   Reporting to the Police


 * MODULE 08EMAIL AND SOCIAL NETWORKING ETHICAL HACKING
   
    *   What is Email E-Hacking?
    *   Tracking Email
    *   Email Account E-Hacking
    *    How to Secure your Email Accounts
    *    Gmail Security
    *    Facebook,Instagram,Linkedin Security


 * MODULE 09VIRTUAL LAB PREPARATION
   
    *   Introduction to Virtualization
    *   Virtualization using VMware, Virtual Box and Hyper-V
    *   Installation of windows and Linux
    *   Sandboxing and OS


 * MODULE 10ETHICAL HACKING WINDOWS
   
    *   Download to know more


 * MODULE 11DIGITAL FORENSICS AND USB ETHICAL HACKING
   
    *   Download to know more


 * MODULE 12WINDOWS PASSWORD RECOVERY
   
    *   Download to know more


 * MODULE 13REGISTRY ETHICAL HACKING
   
    *   Download to know more


 * MODULE 14BACKING-UP AND WINDOWS SECURITY
   
    *   Download to know more


 * MODULE 15WIFI ETHICAL HACKING
   
    *   Download to know more


 * MODULE 15BASICS OF WEBSITE HACKING
   
    *   Download to know more


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION


ANDROID DEVELOPMENT

Register Download


 * MODULE 01INTRODUCTION TO JAVA
   
    *   Function and oops


 * MODULE 02INTRODUCTION TO ANDROID
   
    *   What is Android, History and Version & Scope
    *   Installing & setup JDK, Android Studio & Android Virtual Device
      (Emulator)
    *   Install & setup Android SDK & Tools


 * MODULE 03ACTIVITIES
   
    *   What is an Activity
    *   Creating an Activity
    *   Deployment of Toast Application


 * MODULE 04INTRODUCTION TO XML ON MATERIAL DESIGN
   
    *   Declare an Attribute in XML
    *   UI Design
    *   UI creation using XML
    *   Android manifest file


 * MODULE 05WORKING WITH USER INTERFACE & EVENT LISTENER
   
    *   Button, TextView, Toggle Button, RadioButton, CheckedTextView, Spinner,
      Progress bar ,
      AutoCompleteTextView, AlertDialog ImageView, ImageButton, Seekbar..etc
    *   Splash
    *   Types of Intent
    *   Implicit
    *   Explicit
    *   web view


 * MODULE 06ADAPTER AND ADAPTER VIEW
   
    *   Adapter
    *   Type of Adapter
    *   Adapter View, List View
    *   Media Player, Grid View, spinner
    *   Text to speech
    *   Recommending an Antivirus for your Complete Security


 * MODULE 07WORKING WITH GPS
   
    *   Google API


 * MODULE 08ANDROID DATABASE LOCAL & SERVER
   
    *   Shared Preference
    *   Sql Lite Database
    *   Fragment


 * MODULE 09UI FRAGMENT & WEB SERVICE & PARSING
   
    *   What is Web Service?
    *   XML Parsing
    *   JSON Parsing


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION


WEB DEVELOPMENT

Register Download


 * MODULE 01INTRODUCTION TO HTML AND CSS
   
    *   Html introduction, Elements, Attributes,
      Styles, Formatting, Comments, Links
    *   Images, tables, Lists, Responsive, Forms
    *   CSS Intro, syntax, selectors, how to use,
    *   Box model
    *   text, fonts, icon, list, links, forms


 * MODULE 02INTRODUCTION TO JAVASCRIPT
   
    *   Introduction, difference between HTML/CSS/JS, operators, conditional
      statement, loops
    *   let, var, const, functions
    *   arrays, spread operator, objects
    *   Introduction to ES6
    *   map / filter / callback
    *   promises, async /await


 * MODULE 03INTRODUCTION TO REACT JS
   
    *   React Introduction, Diff b/w virtual DOM and real DOM, Fundamental
      building block of React,
      How to create react app Folder structure
    *   Introduction to JSX react components,
      diff b/w Functional components and Class components
    *   Introduction to Props, state, conditional rendering
    *   Forms
    *   List and Keys
    *   tables, Bootstrap
    *   React Router, single page application
    *   React Hooks
    *   Problems and Implementation
    *   Project


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION


MACHINE LEARNING

Register Download


 * MODULE 01INTRODUCTION TO PYTHON PROGRAMMING
   
    *   Getting Introduced to Python, Introduction to Jupyter Notebook
    *   Introduction to Python Programming for Machine Learning
    *   Variables, Constants, Data type (int, float, string), Built-in functions
      for Data Types
    *   Types of Operators


 * MODULE 02DATA STRUCTURES IN PYTHON
   
    *   Data Structures1: List and its Operations, Set and its Operations
    *   Data Structures1: Tuples and its Operations, Dictionary and its
      Operations


 * MODULE 03CONTROL STRUCTURES AND FUNCTIONS IN PYTHON
   
    *   Conditional Statements: if, if-else, if-else ladder, nested if-else;
      Loops: For, While, Do While
    *   Functions and its types in Python, Parameters and Arguments of the
      function
    *   In-built Python functions: Map, Filter, Reduce,etc, User-defined
      Functions, Recursion
    *   Modules and its types, Importing internal modules and using them
    *   Creating modules and importing them in our program, Program using
      external packages


 * MODULE 04PYTHON FOR MACHINE LEARNING
   
    *   Introduction to Machine Learning, its types, and Application
    *   Supervised, Semi-supervised, Unsupervised, Reinforcement Learning
    *   Machine Learning libraries: Numpy, Matplotlib, Seaborn
    *   Importing files as Datasets


 * MODULE 05SUPERVISED LEARNING
   
    *   Linear Regression
    *   Logistic Regression
    *   Support Vector Machine
    *   Decision Tree


 * MODULE 06UNSUPERVISED LEARNING
   
    *   Clustering in Machine Learning
    *   K-Means Clustering
    *   KNN


CONTACTS

 *  Karthikeya
 *  20CE01042@iitbbs.ac.in
 *  +91 7093867606

 *   Varun Abhi
 *  20ME01056@iitbbs.ac.in
 *  +91 7981711761


ORGANIZATION

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