Competitive Programming Using Java and System Design

Durations -20 days.

Program Structure

Program Structure:

OOPS Concepts using Java

  • Arrays and Strings
  • OOPS Concepts, Time and Space Complexity and Algorithms
  • Algorithm Analysis
  • Searching Algorithms
  • Sorting Algorithms

Competitive Problem-Solving Using Collection Frameworks

  • Stacks, Queue, Priority Queue
  • Linked List, Trees, Graphs
  • Stream API

Project Work

  • E-Commerce, Banking System
  • Reservation System
  • CRM

System Designing

  • SYSTEM DESIGN INTRODUCTION
  • Data Models
  • Latency of System, API for a System

DevOps

  • Java Integration
  • POM.xml structure
  • Build lifecycle (compile, test, package, install)
  • Code Quality and Security Tools

Cloud Computing

AWS/Azure, Hands on Integration

Experiential Project Based Learning

  • Database management systems
  • Java OOPS concepts
  • Collection Frameworks
  • Exception Handling

Program Outcomes

  • Preparing the candidates to crack Interviews
  • Providing Code Optimization Technique
  • Choosing the Best Data Structures to Solve the problems
  • Solving the problems with less time and applying the best algorithms

Tools / Platform:

  • Eclipse IDE
  • MYSQL 8.0 Workbench
  • JDK 11
  • Cloud Tools
  • VS Code
OOPS Concepts using Java
Chapter 1: Java Fundamentals Data Types, Variables, Type Casting, Input/Output Chapter 2: Control Flow Conditional Statements, Nested Loops, Patterns Chapter 3: Arrays and Strings Traversal, Searching, Sorting on Arrays, String vs StringBuilder vs StringBuffer
Chapter 4: Classes and Objects Constructors, Methods, Access Modifiers, Static Members Chapter 5: Inheritance and Polymorphism Method Overloading, Overriding, super Keyword, Dynamic Binding Chapter 6: Encapsulation and Abstraction Getters/Setters, Abstract Classes, Interfaces, Packages
Chapter 7: Exception Handling Try, Catch, Finally, Throw, Throws, Custom Exceptions Chapter 8: File Handling and Wrapper Classes File Reader, Buffered Reader, Wrapper Classes Chapter 9: Inner Classes and Static Concepts Nested Classes, Garbage Collection
Chapter 10: Mini Project and Interview Preparation Integration of OOP Concepts, Practice Programs
Time and Space Complexity and Algorithms
Chapter 1: Algorithm Analysis Time & Space Complexity, Big O Notation, Best/Worst/Average Case
Chapter 2: Searching Algorithms Linear Binary Search, Interview Problems Search
Chapter 3: Sorting Algorithms Bubble, Selection, Insertion, Merge, Quick Sort
Competitive Problem-Solving Using Collection Frameworks
Chapter 1: Stack Implementation using Array and LinkedList, Applications, Expression Evaluation
Chapter 2: Queue Simple Queue, Circular Queue, PriorityQueue, Deque
Chapter 3: Linked List Singly, Doubly, Circular Linked List, Operations, Practice Problems
Chapter 4: Trees and Graphs Binary Tree, BST, Traversals, Graph Representation (DFS/BFS)
Chapter 5: Collections Framework ArrayList, LinkedList, Stack, Queue, HashMap, HashSet, TreeSet
Chapter 6: Lambda Expressions and Stream API Functional Interfaces, Map/Filter/Reduce, Collectors
Chapter 7: Mini Project and Interview Preparation Real-time Problem-Solving using Collections & Streams
Project Work
Chapter 1: Bookmyshow Design & Implement
Chapter 2: E-commerce Websites (Amazon, Flipkart)
Chapter 3: Banking System
System Designing
SYSTEM DESIGN INTRODUCTION Chapter 1: How to approach for system design problem
Chapter 2: How to discuss Requirement/Goal of the system
Chapter 3: How to Design an API For a System
Chapter 4: Data model, system components & system interface
Chapter 5: Consistency, Availability, Latency of System
DevOps
Chapter 1: Introduction to DevOps & Java Integration
Chapter 2: Java Build Automation with Maven/Gradle
Chapter 3: Version Control with Git & GitHub
Chapter 4: Continuous Integration using Jenkins
Chapter 5: Code Quality and Security Tools
Chapter 6: Containerization with Docker for Java
Cloud Computing
Chapter 1: Cloud Deployment (AWS / Azure / GCP)
Chapter 2: Monitoring and Logging
Chapter 3: Hands-on Integration

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