Java Programming & Object-Oriented Design Course by Debarun Chakraborty

The Advanced Java Programming & Object-Oriented Design Course by Debarun Chakraborty is a comprehensive 14-week online program designed for serious learners who want to master Java, object-oriented programming (OOP), data structures, and algorithms at an academic and industry-ready level.

This course is ideal for college Computer Science students, high school students preparing for AP Computer Science A, aspiring software engineers, and developers transitioning to Java from other languages. It goes far beyond basic syntax and focuses on deep conceptual clarity, algorithmic thinking, and real-world software design principles.

Through structured modules, live coding sessions, projects, and interview preparation, students gain the technical foundation required for academic excellence and software development careers.

Perfect For:

• College CS students wanting to master Java and OOP principles

• High school students preparing for AP Computer Science A

• Developers transitioning from other languages to Java

• Students preparing for technical interviews at top tech companies

• Anyone building foundations for enterprise software development

• Pre-bootcamp preparation for coding programs

What You'll Master:

By course completion, you'll have:

• Complete mastery of Java syntax and object-oriented programming

• Deep understanding of OOP principles (inheritance, polymorphism, encapsulation, abstraction)

• Implementation skills for essential data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps)

• Algorithm analysis and Big O notation proficiency

• Design pattern knowledge for professional development

• Portfolio of algorithmic solutions and OOP projects

• Preparation for AP CS A exam (5 score potential)

Course Curriculum (14 Weeks):

Module 1: Java Fundamentals (Weeks 1-3)

Week 1: Java Basics & Environment

• Java syntax, structure, and compilation process

• Variables, data types, and operators

• Input/output with Scanner and System.out

• Control structures: if/else, switch, loops (for, while, do-while)

• Debugging with IDE (IntelliJ IDEA, Eclipse, Netbeans, or VS Code)

• Lab: Console-based calculator and number games

Week 2: Methods & Arrays

• Method declaration, parameters, and return types

• Method overloading and recursion basics

• Single and multi-dimensional arrays

• Array manipulation and algorithms

• String class and string manipulation

• Lab: Array sorting and searching implementations

Week 3: Introduction to Objects

• Classes and objects fundamentals

• Instance variables and methods

• Constructors and method overloading

• The 'this' keyword and references

• Primitive vs. reference types

• Project: Design a simple inventory management system

Module 2: Object-Oriented Programming (Weeks 4-6)

Week 4: Encapsulation & Design

• Access modifiers (private, public, protected)

• Getters, setters, and data hiding

• Static vs. instance members

• Class design principles

• UML diagrams and object modeling

• Lab: Bank account class with proper encapsulation

Week 5: Inheritance & Polymorphism

• Inheritance hierarchy and 'extends' keyword

• Method overriding vs. overloading

• The 'super' keyword

• Polymorphism and dynamic binding

• Abstract classes and methods

• Project: Animal hierarchy with polymorphic behavior

Week 6: Interfaces & Advanced OOP

• Interface declaration and implementation

• Multiple interface implementation

• Comparable and Comparator interfaces

• Composition vs. inheritance

• Design patterns introduction

• Project: Shape hierarchy with interfaces and abstract classes

Module 3: Data Structures (Weeks 7-9)

Week 7: ArrayList & Linked Lists

• ArrayList class and generic types

• ArrayList methods and operations

• Linked list concepts and implementation

• Singly vs. doubly linked lists

• Iterator pattern

• Lab: Custom linked list implementation

Week 8: Stacks, Queues & Trees

• Stack ADT and applications

• Queue ADT and circular queues

• Binary trees and traversals (inorder, preorder, postorder)

• Binary search trees and operations

• Tree balancing concepts

• Lab: Expression evaluator using stacks

Week 9: Hash Maps & Advanced Structures

• HashMap and HashSet fundamentals

• Hash functions and collision handling

• TreeMap and TreeSet

• Priority queues and heaps

• Graph representations (adjacency list/matrix)

• Project: Phone book application using HashMap

Module 4: Algorithms & Analysis (Weeks 10-12)

Week 10: Searching & Sorting Algorithms

• Linear and binary search

• Bubble, selection, and insertion sort

• Merge sort and quicksort

• Time complexity analysis (Big O notation)

• Space complexity considerations

• Lab: Implement and compare sorting algorithms

Week 11: Recursion & Backtracking

• Recursive thinking and problem decomposition

• Base cases and recursive cases

• Tail recursion optimization

• Backtracking algorithms

• Classic problems: factorial, Fibonacci, Tower of Hanoi

• Lab: Solve the maze using backtracking

Week 12: Algorithm Design & Optimization

• Greedy algorithms

• Dynamic programming introduction

• Divide and conquer strategies

• Algorithm optimization techniques

• Trade-offs between time and space

• Project: Pathfinding algorithm implementation

Module 5: Advanced Topics & Interview Prep (Weeks 13-14)

Week 13: Exception Handling & File I/O

• Try-catch-finally blocks

• Checked vs. unchecked exceptions

• Custom exception classes

• File reading and writing

• Serialization basics

• Lab: Error-resistant file processing application

Week 14: Final Project & Interview Preparation

• Comprehensive project combining all concepts

• Code review and refactoring

• Common interview question patterns

• Whiteboarding practice

• Time/space complexity analysis

• Capstone: Student management system or custom project

Why This Course Stands Out:

Rigorous Academic Approach:

• University-level depth and rigor

• Emphasis on understanding WHY, not just HOW

• Focus on algorithmic thinking and problem-solving

• Preparation for advanced CS courses

• Foundation for systems programming, databases, and software engineering

AP Computer Science A Aligned:

• Covers 100% of the AP CS A curriculum

• Practice with AP-style free response questions

• Multiple choice question strategies

• Mock exams and detailed feedback

• Students consistently score 4s and 5s

Industry-Standard Practices:

• Professional IDE usage (IntelliJ IDEA/Eclipse/Netbeans/VS Code)

• Version control with Git

• Code documentation and JavaDoc

• Unit Testing Introduction

• Design patterns for real-world development

🎓 My Teaching Philosophy:

Java and OOP can seem abstract, but they're incredibly powerful once you understand the principles. My approach:

Conceptual Clarity First:

• Understand the concept before memorizing syntax

• Real-world analogies for abstract concepts

• Visual diagrams for complex relationships

• Why does OOP matter? When should you use it?

Practice-Driven Learning:

• Code in every session - no passive learning

• Incremental difficulty progression

• Immediate feedback on your solutions

• Multiple approaches to the same problem

Problem-Solving Focus:

• Algorithmic thinking development

• Breaking down complex problems

• Debugging strategies and techniques

• Learning to learn independently

What Makes My Instruction Unique:

• ✅ 4 years teaching both high school AP and college-level courses

• ✅ Experience with diverse learning styles

• ✅ Industry insights from real software development

• ✅ Patient explanations of complex concepts

• ✅ Emphasis on building mental models, not rote memorization

• ✅ Personalized feedback on every assignment

💼 Course Format:

• 28 live sessions (60 minutes each) over 14 weeks

• 2 sessions per week (flexible scheduling)

• Mix of lecture, live coding, and guided problem-solving

• Weekly programming assignments (3-5 hours recommended)

• Mid-term and final projects

📋 Prerequisites:

Required:

• One semester of programming experience (any language)

• Understanding of variables, loops, and conditionals

• Basic problem-solving skills

• Willingness to practice regularly

Helpful but Not Required:

• Familiarity with object-oriented concepts

• Previous exposure to Java

Technology Needed:

• Laptop or desktop (Windows, Mac, or Linux)

• Reliable internet connection

• Free software: JDK, IntelliJ IDEA, or Eclipse (I'll help you set up)

🎯 Learning Outcomes - You'll Be Able To:

Technical Proficiency:

• Write clean, efficient Java code following industry standards

• Design object-oriented systems from requirements

• Implement and analyze common data structures

• Apply appropriate algorithms to solve problems

• Understand and calculate time/space complexity

• Debug complex programs effectively

Academic Success:

• Excel in college-level CS courses

• Score 4 or 5 on the AP Computer Science A exam

• Understand theoretical CS concepts

• Read and write technical documentation

• Collaborate on coding projects

Career Readiness:

• Pass technical interviews for internships

• Solve LeetCode medium-level problems

• Understand enterprise Java development

• Apply design patterns appropriately

• Continue learning advanced topics independently

📊 Student Success Stories:

"I took this course to prepare for AP CS A and scored a 5! More importantly, I actually understood OOP instead of just memorizing. Now I'm thriving in my college CS program." – High school senior, now college freshman

"I struggled with OOP concepts until taking this course. The clear explanations and practical examples finally made everything click. Went from a C to an A in my university course." – College junior.

🏆 What Sets This Course Apart:

Comprehensive Curriculum:

• More thorough than typical AP CS A prep courses

• Deeper than introductory college courses

• Practical application of theoretical concepts

• Balance of breadth and depth

Proven Track Record:

• 95% of AP students score 4 or 5

• Students consistently land tech internships

• High satisfaction and recommendation rates

• Many students continue with advanced CS studies

Personalized Attention:

• Small class sizes or 1-on-1 instruction

• Individualized feedback on assignments

• Pace adapted to your learning speed

• Extra support for challenging concepts

Beyond Just Coding:

• Problem-solving mindset development

• Technical communication skills

• Career guidance and mentorship

• Understanding of computer science fundamentals

🚀 Ready to Master Java & OOP?

Java is one of the most in-demand programming languages, powering everything from Android apps to enterprise systems. Object-oriented design is fundamental to modern software engineering. Master both, and you'll have skills that last a career.

Your Journey Starts Here:

Step 1: Free Consultation (30 minutes)

• Assess your current programming level

• Discuss your goals (AP exam, college courses, interviews)

• Customize the curriculum to your needs

• Answer all your questions

Step 2: Diagnostic Assessment

• Quick coding exercise to establish baseline

• Identify strengths and areas for growth

• Set realistic goals and a timeline

• Plan your learning path

Step 3: Begin Mastering Java

• Follow a structured, proven curriculum

• Build confidence through progressive challenges

• Achieve your academic and career goals

• Join the ranks of successful Java developers

💰 Investment in Your CS Future:

This course provides:

• AP CS A Exam Prep (saves $100s in prep courses)

• Technical Interview Skills (worth $1000s in landing internships)

• Foundation for CS Degree (makes college courses much easier)

• Career-Ready Skills (Java devs earn $70k-130k+)

❓ Frequently Asked Questions:

Q: I've never programmed before. Is this course too advanced? A: This course requires one semester of programming experience. If you're brand new, I recommend starting with my Python Foundations course first, then progressing to Java.

Q: How does this compare to my college Java course? A: This course is typically more thorough and practical than introductory college courses. Students often tell me this course finally made concepts from their university class "click."

Q: Will this prepare me for AP Computer Science A? A: Absolutely! This course covers 100% of the AP CS A curriculum plus additional topics. Students consistently score 4s and 5s.

Q: Can I use this to prepare for technical interviews? A: Yes! Weeks 10-14 focus heavily on algorithms and problem-solving patterns common in technical interviews. Many students have used these skills to land internships.

Q: What if I fall behind? A: We'll work together to get you back on track. I offer flexible scheduling and can adjust pacing as needed. Your success is my priority.

💬 Have Questions?

I'm here to help you decide if this course is right for you. Message me anytime - I typically respond within 24 hours. Let's discuss your goals, timeline, and how this course can help you succeed.

Start your journey to Java mastery today. ☕✨

From fundamentals to technical interviews - one course, complete transformation.