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Boost Your Base Bootcamp - [Online & Offline] In Bangla
- 1. BOOST YOUR BASE BOOTCAMP Specialized Skill Development Best Place to Boost Your Skills
- 2. 50+ weeks - 2 CPW A Long Journey for Long Career Total 100+ Classes Structured and Detailed Lectures Regular Fee - 60K BDT Fruitful Invesment for Your Career BOOST YOUR BASE BOOTCAMP To be a perfect software engineer, we must build a solid understanding of core concepts of computer science and this 50+ weeks long Bootcamp is designed to make all those complicated terms easier to you.
- 3. What You Will Learn Programming Fundamentals Problem Solving TacTics Logic Building Techniques Object Oriented Programming Data Structures & Algorithms Design Principles Prerequisites Basic Computer Uses Download Software 30 WPM Typing Speed (Minimum) Laptop and Internet Connection 10 hrs/week Practicing Time (Minimum) Web Browsing Highlighted Technologies The C Programming Language Java Programming Language OOP using Java Data Structure and Algorithm using Java GOF Design Principles Problem Solving on Online Judges
- 4. If we want to write a novel, we must master the language and it’s grammar first. Like so, to be a perfect software engineer we must build a solid understanding about core concepts of computer science. This 50+ weeks-long Bootcamp is designed to make all those compli- cated terms easier to you. We will start with programming fundamentals and ends with design principles and projects (individual & group). This long Bootcamp is divided into 8 main different courses including - 1 Programming Fundamentals 5 Data Structures 6 Algorithms 7 Design Patterns 8 Group Project 2 Problem Solving TacTics 3 Explore Java Programming 4 Understand OO Programming
- 5. Problem Solving TacTics: We can only learn code by implementing it. Programming is all about solving problems and if we want to master coding then we have to solve a lot of real or imaginary problems. But finding problems at the beginning is tough. Online Judge is the solution here. We will teach you how to find and solve problems from the major online judges. At first, we will use our C Programming skills to solve small problems but latter we will use OOP for solving more advanced problems. Programming Fundamentals: We will start from the beginning. And our journey starts with learning a programming language and understanding programming fundamentals. Here we will learn The C Program- ming language and will cover the most important programming topics including array, string, function, pointer, struct, memory management and file system. As C programming is the mother of all programming language we will try to cover all the necessary features of C Programming and will invest most of the time here to build our base. Introduction to Java Programming: C is a very good programming language but it is not a perfect fit for most of the enterprise applications. We need more higher-level languages to solve complex problems. Here we can choose any Object Oriented Programming Language like C++, C#, Python or Java. But we will go with Java. Shifting from C Programming to Java is not a very big deal. We will invest 3-4 weeks to feel comfortable with Java and its syntax. Introduction to Object-Oriented Programming: Our main goal to learn Java is learning Object-Oriented Programming (OOP). Object-Oriented is just a concept that is widely used with most of the programming languages. The concept of OOP is very easy and learning those concepts will take no more than 4 weeks. But learning the way software engineers implementing OOP is pretty difficult and it will take some experience to design any software using OOP. We will try to share our OOP design experiences with you that you guys can easily understand the real situation and its solution. Data Structures: One of the most important concepts of computer science is Data Structures mean how we will arrange our data that we can easily insert, find, update or remove. There are two types of data structures available - Linear and Non-Linear. We will try to cover all the common data structures you will use in your daily life. Algorithms: Another important concept of computer science is Algorithms which basically means how we can solve a given problem. Actually whatever code we write on a daily basis to solve a problem is an algorithm but here we are not talking about that. Computer scientists always try to find a better, efficient solution to common problems and we usually use those solutions as algorithms. There are several types of algorithms available most of them are related to Data Structures, Searching, Sorting or Finding Shortest Path. Here we will try to cover all major Algorithms.
- 6. Group Projects: We will have a lot of projects and assignments throughout the camp and in the end we will have a group project. This project will not like enterprise projects but most like uni- versity projects. Here we will learn how to manage versions, collaborate with teams and share the same code base alongside with the project. Design Principles: Design Principles are like Algorithms which is also predefined solutions to real-world problems but it is related to solving and design a real software application rather than a small piece of the problem. Software Engineers found four different situations that are really common to every software system and create four different types of patterns which is called Gang of Four. They are - Creational Patterns, Collectional Patterns, Structural Patterns, and Behavioural Patterns. We will try to cover all those patterns.
- 7. Section No : 0 Total Class: 02 Total Hour: 04 Introduction and Bootcamp Planning Topics Covered in This Section Bootcamp Planning Programming Roadmap Environment Setup 01 Orientation Class This is our orientation class. We will intro- duce with each other and celebrate our start of new journey. 02 Bootcamp Planning This is a very long bootcamp and we must have a perfect plan to complete it and obvi- ously track our progress.
- 8. Section No : 1 Total Class: 20 Total Hour: 40 Programming Fundamental with C Topics Covered in This Section Programming Fundamental Topics Memory Allocation and File I/O Structures and Unions String and Pointers Functions and Arrays 03 Programming, Environment Setup & Programming Workflow Getting started with programming by under- standing programming workflow and setting up environment to write and execute codes. 04 Statements, Variables, Data Types Learn about programming statements, vari- ables, data types and basic calculation alongside with standard input output 05 Data Types Advanced and Operators Learn about almost all types of data, bit byte system, memory managements and differ- ent operators provided with C language. 06 Decision Making in Programming To make decision based on different condi- tion we will learn if, if else, else if and switch statements with examples and flow chart. 07 Loops and Repetition in Programming We will learn for loop, while loop, do while loop, break and continue statements to do repetitive tasks. 08 Start Problem Solving Journey & Mathematics Discussion To build our analytical skills we will solve problems on different online judges and practice some mathematics too.
- 9. 09 Deal with Functions in C Programming We will discuss about function declaration, invoking function, function prototype, argu- ments, parameter and return statements. 10 Basic Arrays in Programming (Theory) What is array? How does array work? Why do we need array? discussion about com- plete theory of array in programming. 11 Basic Arrays - Implementing in C Programming Language How to declare an array? How to retrive data from arrays? How to travervse array element , add, insert, delete, update array elements? 12 Array CRUD Operations and Searching Sorting Simple array project with CRUD operations. How to sort array elements? How to search any element from array? 13 2D and 3D Arrays in C Programming What is 2D and 3D array? How to traverse multi dimensional array? How to update and delete multi dimensional array? 14 Understanding Strings in C Programming What is String in C Programming? How to create String? How to work with String in C Programming Language? 15 String Common Operations in C Programming Find string length, string concatenation, string comparision, sub string and searching strings. 16 Understanding The Concept of Pointer What is Pointer? How does it works? Why do we need a Pointer? Pointer and memory management system and pointer theory. 17 Working with Pointer in C How to declare a pointer? How to use a pointer? Pointer and arrays, pointer arithme- tic operations and pass by refferences.
- 10. 18 Pointer and Dynamic Memory Allocations Memory allocation and it’s importance, Dy- namic array, garbage collections and calloc(), malloc(), realloc() and free(). 19 Structures, Union and ENUMs in C Programming What is structures and union in C? How to work with structures and union? Struct vs Union? How to work with ENUM in C? 20 File Handling in C Programming What is file handling? Accessing to files, different file modes, read-write-append files, copy, delete, renaming files in C. 21 Header Files and Directives in C Programming Understanding header file and directives in C Programming. Standard header files and directives. How to create custom header file? 22 Project Idea and Architecture Discussion Management type individual project. Discus- sion about project idea and it’s architectures
- 11. Section No : 02 Total Class: 06 Total Hour: 12 Introduction to Java Programming Topics Covered in This Section Understanding Java Java Virtual Machine and Portability Setup Working Environment Programming Fundamental Java Syntax 23 Understanding Java & Setup Working Environment Java Virtual Machine, Understand Portable Code, Understand and Install JDK, Java Pop- ular IDE’s and Install Intellij Idea. 24 Basic Syntax and Data Types in Java System IO, Basic Skeleton, Data Types and Operators. How to comment Java code? 25 How to Deal with Strings in Java String, Mutable and Immutable Objects. Strings are Object. String methods, String comparisionandUnicodeCharacterEncoding 26 How to Deal with Arrays in Java How to declare arrays? How to traverse arrays? Common array methods in Java. 27 Understanding Methods in Java What is Method? How to declare method? How to invoke method? Function vs Method and namin convension in Java. 28 Exceptions and Error Handling in Java What is Exception? How to handle exception in Java? Builtin Exceptions. How to create and throw custom exceptions?
- 12. 29 Understanding Object Oriented Theory in Details 30 Understanding Object and Classes in Java 31 Is a Relationship vs Has a Relationship (Inheritance) 32 Method Overloading vs Method Overriding (Polymorphism) 33 Runtime Polymorphism and Method Bindings 34 Abstraction in Java using Abstract Class and Interface Section No : 03 Total Class: 22 Total Hour: 44 Introduction to Object Oriented Programming Topics Covered in This Section Object Oriented Methodologies Basic Design Principles Real Life Examples of OOP Object, Object-Oriented Programming Main concepts of OOP, OOP big picture by examples,How does OOP help us Understanding polymorphism, Method overloading, Method overriding, Covariant return type IdentifyingObject,ObjectandClasses,Constructor, Classproperties,Staticproperties,thiskeyword, toStringmethod,Instancevariablesandobject Super keyword,final keyword,Instance initializer block,InstanceOf operator,Runtime polymorphism, static vs dynamic binding What is abstraction, Understanding abstract class, Understanding Interface, extends vs implementS What is Inheritance, Understanding the concepts behind the inheritance, Extends keywords, Has a relationship
- 13. 35 Package, Access Modifier and Encapsulation 36 Java Wrapper Classes and Object Class Architecture 37 Java Memory Model - Pass By Reference vs Pass By Value 38 Unified Modelling Language - UML Diagram 39 Understanding OOP using Date and Calendar Classes 40 Java Collections - List and Set 41 Java Collections - Queue, Map and Hash Table 42 Java Collections - Sorting, Comparable, Comparator Interafaces 43 Understanding Generics using Collection Frameworks Package, Access Modifier, Encaptulation What is UML, How to create a class diagram using UML, UML Crash Course Different Types of Queue and Dequeue , Different Types of Map, Different Types of Hash Table Object Class Methods, Object Clonings, Wrapper Classes, toString() Understand Date Class Architecture, Understand Calendar Class Architecture, Date Class Methods,Calendar Class Methods How to sort a collection of objects, Comparable interface, Comparator interface Pass By Reference vs Pass by Value, Java Memory Model, clone(), equals() What is the Collection Framework? Different Type of Lists, Different Type of Sets What is generics, How to use generics, Where to use generics
- 14. 44 Object Oriented Case Study 1 45 Object Oriented Case Study 2 46 File Handing in Java 47 GUI Programming using Java Swing 1 48 GUI Programming using Java Swing 2 49 Project Architecture, Planning and Discussion 1 50 Project Architecture, Planning and Discussion 2 Object Oriented Case Study 1 GUI Programming using Java Swing 1 Object Oriented Case Study 2 GUI Programming using Java Swing 2 Read, write and append files, Basic file operations Project Architecture, Planning and Discussion 1 Project Architecture, Planning and Discussion 2
- 15. 51 Introduction to Data Structures 52 Understand Stack and Queue with Implementation 53 Implement Infix, Suffix and Prefix 54 Implement Priority Queue and Dequeue 55 Implement Singly Linked List 56 Implement Circular and Doubly Linked List Section No : 04 Total Class: 15 Total Hour: 30 Data Structures Anatomy Topics Covered in This Section Linear vs Non Linear Data Structures Lists and Sets Stacks and Queues Recursive Programming Map and Hash Tables Trees and Binary Search Trees Real Life Examples of OOP Data Structure, Importance & type of data structures, linear vs non-linear data structures, Array data structure What is the priority queue & dequeue. Implement priority queue & dequeue. Implement Stack using array & Queue using array Understand & Implement infix, suffix and prefix using stack What is linked list, How does linked list work, Implement singly-linked list What is a circular linked list & doubly linked list. implement a circular linked list & doubly linked list.
- 16. 57 Implement Stack and Queues using Linked List 58 Implement Sets using Linked List 59 Understanding Recursive Functions 60 Implement Linked List using Recursive Function 61 Understanding Maps and Hash Table 62 Implement Binary Search Trees 63 Implement Heaps Data Structure 64 Understanding Graph Data Structure 65 Implement Graph Data Structures Implement Graph Data Structures What is Tree, Implement Binary SearchTrees, Tree CRUD operations, Searching a Binary Search Tree What is the recursive function, How does recursive function work, Implement recursive function What is Set, Implement set using linked list What is Map & Hash Table. Implement Maps & Hash Tables. What is Graph, How does graph work, How to implement graph data structure What is heap, How to implement heap Implement Linked List using Recursive Function Implement Stack and Queues using Linked List
- 17. 66 Understanding Algorithm Analysis 67 Searching Algorithm - Linear and Binary Search 68 Sorting Algorithm - Bubble Sort, Insertion Sort and Selection Sort 69 Sorting Algorithm - Merge Sort 70 Sorting Algorithm - Quick Sort 71 Understanding Divide and Conquer Section No : 05 Total Class: 15 Total Hour: 30 Algorithms Anatomy Topics Covered in This Section Algorithm Analysis Searching Algorithm Sorting Algorithm Divide and Conquer Dynamic Programming Greedy Algorithm Backtracking Graph Algorithms Bubble Sort, Insertion Sort, Selection Sort Divide and Conquer algorithm Linear Search, Binary SearchWhat is an algorithm, How to analysis algo- rithms What is Merge Sort, How does merge sort work, Implement merge sort What is Quick Sort, How does quick sort work, Implement quick sort
- 18. 72 Understanding Dynamic Programming 73 Understanding Greedy Algorithm 74 Understanding Backtracking Algorithm 75 BST Algorithms - 1 76 BST Algorithms - 2 77 Graph Algorithms - 1 78 Graph Algorithms - 2 79 Graph Algorithms - 3 80 Graph Algorithms - 4 Graph Algorithms - 4 Graph Algorithms - 1 Understanding Backtracking AlgorithmUnderstanding Greedy Algorithm BST Algorithms - 2 Graph Algorithms - 3 Understanding Dynamic Programming BST Algorithms - 1 Graph Algorithms - 2
- 19. 81 Understand GOF Design Patterns 82 Creational Pattern - Singleton 83 Creational Pattern - Factory and Abstract Factory 84 Creational Pattern - Builder 85 Creational Pattern - Prototype 86 Collectional Pattern - Iterator Section No : 06 Total Class: 16 Total Hour: 32 GOF Design Patterns Topics Covered in This Section Understanding Design Patterns Importance of Design Patterns Creational Patterns Collectional Patterns Structural Patterns Behavioural Patterns Explain Iterator PatternExplain Prototype PatternExplain Builder Pattern What is Design Pattern, Understand GOF Design Patterns, Why do we need design patterns Explain Singleton Pattern Explain Factory and Abstract Factory Pattern
- 20. 87 Collectional Pattern - Composite 88 Collectional Pattern - Flyweight and Visitor 89 Structural Pattern - Decorator 90 Structural Pattern - Adapter 91 Structural Pattern - Facade 92 Structural Pattern - Proxy 93 Structural Pattern - Bridge 94 Behavioural Pattern - Observer 95 Behavioural Pattern - Command Explain Decorator PatternExplain Flyweight and Visitor PatternExplain Composite Pattern Explain Adapter Pattern Explain Facade Pattern Explain Proxy Pattern Explain Command PatternExplain Observer PatternExplain Bridge Pattern
- 21. 96 Behavioural Pattern - Interpreter Explain Interpreter Pattern
- 22. 97 Git, Github and Collaboration 98 Project Management Tools and Techniques 99 Project Architecture and Planning 100 Model View Controller Architecture Section No : 07 Total Class: 04 Total Hour: 08 Group Project and Project Management Topics Covered in This Section Git and Github Project Management with Trello Project Architecture What is Git & Source Code Management System, How to Collaborate using Git and Github Understanding MVC, How to work with MVC What is Project Management, How to Manage a Software Project, Project Manage- ment Tools Trello UML Diagram, Source Code Planning, Project Directory Structures
- 23. BACKEND DEVELOPMENT BOOTCAMP CLASS 100+ TIME 50+ WEEK FRONTEND DEVELOPMENT BOOTCAMP UI/UX & WEB DESIGN BOOTCAMP CLASS 80+ CLASS 40+ TIME 40+ WEEK TIME 20+ WEEK