This comprehensive Java Programming and Data Structures & Algorithms (DSA) course is designed to help students build strong programming skills from the ground up. Whether you are a complete beginner or someone looking to strengthen your concepts, this program by Josna Fernandes carefully blends Java fundamentals with structured problem-solving using DSA — a core requirement for technical exams, coding interviews, and placements.

The course follows a 12-week guided learning journey. Starting with the basics of programming logic and Java syntax, learners gradually move towards object-oriented programming, data structures, algorithm design, and dynamic programming. The teaching style focuses on clarity, step-by-step explanations, and continuous practice, ensuring students not only learn how to code — but also understand how to think like a programmer.

🔹 Course Title

Complete Java Programming & DSA Mastery (12 Weeks) – From Basics to Placement Ready

🔹 Course Description

This 12-week intensive course is designed to take learners from zero to advanced level in Java programming, while simultaneously building strong problem-solving skills using Data Structures and Algorithms.

The course focuses on:

• Deep understanding of the Java language

• Strong logic building and algorithmic thinking

• Data Structures & Algorithms, including Dynamic Programming

• Preparation for college exams, coding interviews, and placements

The teaching approach is step-by-step, concept-driven, and practice-oriented, ensuring learners don’t just write code, but truly understand why and how it works.

🔹 What You Will Learn

• Core Java programming from fundamentals to advanced concepts

• Writing clean, optimized, and interview-ready code

• Solving problems using standard and advanced data structures

• Mastering algorithms frequently asked in exams and interviews

• Strong preparation for college semester exams and placement coding rounds

🔹 12-Week Detailed Course Plan

📘 Week 1: Programming Foundations & Java Basics

• Introduction to programming and problem-solving

• How Java works (JDK, JRE, JVM)

• Writing and executing the first Java program

• Variables, data types, input/output

• Operators and expressions

• Understanding compilation and execution flow

Focus: Strong fundamentals + exam-oriented clarity

📘 Week 2: Control Flow & Logic Building

• Conditional statements (if, if-else, switch)

• Looping constructs (for, while, do-while)

• Pattern printing

• Basic problem-solving using loops and conditions

• Common mistakes and debugging techniques

Focus: Logic development & confidence in coding

📘 Week 3: Methods, Recursion & Arrays

• Functions / methods in Java

• Parameter passing and return types

• Introduction to recursion

• 1D and 2D arrays

• Array-based problem solving

Focus: Problem-solving foundation for DSA

📘 Week 4: Strings & Mathematical Problem Solving

• String class and string manipulation

• Character handling and ASCII concepts

• Common string problems (palindrome, frequency, reverse, etc.)

• Math-based problems (GCD, prime numbers, factorials)

Focus: Frequently asked exam and interview questions

📘 Week 5: Object-Oriented Programming (OOP) – Core Concepts

• Classes and objects

• Constructors

• Encapsulation

• Inheritance

• Polymorphism

• Abstraction and interfaces

Focus: Core Java concepts crucial for interviews

📘 Week 6: Advanced OOP & Java Features

• this and super keywords

• Static members

• Final keyword

• Packages and access specifiers

• Exception handling

• Introduction to Java memory concepts

Focus: Writing professional and structured Java code

📘 Week 7: Data Structures – Linear Structures

• Introduction to Data Structures

• Time and space complexity (Big-O notation)

• Arrays as data structures

• Linked Lists (Singly, Doubly)

• Stack and Queue (implementation + problems)

Focus: Core DSA used in exams and coding rounds

📘 Week 8: Searching & Sorting Algorithms

• Linear and Binary Search

• Sorting algorithms:

  • Bubble Sort

  • Selection Sort

  • Insertion Sort

  • Merge Sort

  • Quick Sort

• Analysis and comparison of algorithms

Focus: Algorithm understanding + implementation

📘 Week 9: Data Structures – Non-Linear Structures

• Trees (Binary Tree, Binary Search Tree)

• Tree traversals

• Heaps and priority queues

• Introduction to Hashing and HashMaps

Focus: Interview-oriented problem solving

📘 Week 10: Graphs & Advanced Algorithms

• Graph representation

• BFS and DFS

• Shortest path basics

• Graph-based problem solving

Focus: Advanced DSA concepts for placements

📘 Week 11: Dynamic Programming (DP)

• Recursion vs DP

• Memoization and tabulation

• Classic DP problems:

  • Fibonacci

  • Knapsack

  • Longest Common Subsequence

  • Subset Sum

• How to identify DP problems

Focus: One of the most important placement topics

📘 Week 12: Exam + Placement Preparation

• Frequently asked Java interview questions

• DSA revision and problem-solving practice

• Coding strategies for exams and interviews

• Writing optimized and clean solutions

• Mock coding questions and discussions

Focus: Confidence building and final readiness

🔹 Who This Course Is For

• Beginners who want to start programming from scratch

• Learners struggling with Java or DSA concepts

• College students preparing for semester exams

• Placement aspirants aiming to crack coding rounds

🔹 Teaching Style & Support

• Step-by-step explanations

• Logic-first approach

• Regular practice problems

• Doubt clarification and guidance

• Focus on concept clarity + confidence

🔹 Key Outcomes

By the end of the course, students will:
✔ Understand Java programming thoroughly
✔ Write clean & structured code
✔ Gain problem-solving confidence
✔ Develop strong DSA foundations
✔ Be better prepared for coding interviews & placements