Java Programming

Overview

What you'll learn

• Rank of a matrix
• echelon form
• solving linear equations
• Gauss-Elimination
• Gauss-Jordan
• Gauss-Seidel methods
• eigenvalues and eigenvectors
• Rayleigh’s power method
• and diagonalization techniques
• Java
• Eclipse

Syllabus 8

1. Introduction to Java: Object-Oriented Programming (OOP) and Platform Independence

   Define the core principles of Java. Understand its architecture as a high-level, Object-Oriented Programming (OOP) language and explore the "Write Once, Run Anywhere" (WORA) capability powered by the Java Virtual Machine (JVM) for cross-platform compatibility.

2. Java Development Kit (JDK) Setup and Eclipse IDE Installation

   Configure your local Java development environment. Install the Java Development Kit (JDK), set up system environment variables (PATH), and configure the Eclipse Integrated Development Environment (IDE) to write, compile, and execute Java code effectively.

3. Java Syntax Fundamentals: Writing and Compiling 'Hello World'

   Deconstruct the anatomy of a basic Java program. Write a 'Hello World' application to master foundational syntax, class declarations, the main method signature (public static void main), and the compilation process using the javac compiler.

4. Java Memory Allocation: Primitive vs. Reference Data Types

   Manage memory efficiently using Java variables. Distinguish between Primitive data types (int, double, boolean, char) for basic values and Reference data types (Strings, Objects) for complex data structures.

5. Java Operators: Arithmetic, Relational, and Logical Expressions

   Construct complex programmatic logic using Java Operators. Perform mathematical calculations using Arithmetic operators, evaluate conditions with Relational operators (==, !=), and combine boolean expressions using Logical operators (AND, OR, NOT).

6. Control Flow Structures: Conditional Statements and Iteration (Loops)

   Dictate the execution path of your Java programs. Implement Conditional Statements (if, else if, switch) for decision-making and utilize Iteration structures (for loops, while loops, do-while loops) to automate repetitive coding tasks.

7. Java Data Structures: Single and Multidimensional Arrays

   Store and manipulate collections of data using Arrays. Initialize single-dimensional arrays for linear data storage and construct multidimensional arrays (matrices) to handle complex, tabular data structures efficiently.

8. Java Methods: Signatures, Return Types, and Method Overloading

   Modularize code architecture using Java Methods. Define method signatures and return types, understand pass-by-value mechanics (swapping values), and implement Compile-Time Polymorphism through Method Overloading.

Advantages and disadvantages

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Taught by

• Mr. Bharani AkellaBharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Pytho…