This course introduces the fundamentals of programming and problem solving using Data Structures and Algorithms with a focus on Java. It is designed for beginners who want to understand how algorithms work and how to build efficient programs.

The course starts with an introduction to data structures and why they are essential in computing. You then move into complexity analysis, learning how to measure the efficiency of algorithms in terms of time and space.

A key part of the course is Big O notation, where you learn how to describe algorithm performance and compare different solutions. You will also see practical examples that make complexity concepts easier to understand.

The course then transitions into Java programming fundamentals, starting with object-oriented programming (OOP). You will learn how objects and classes work together to structure code in a clean and reusable way.

Next, the course introduces generics and comparable types, helping you write flexible and reusable code. You will also learn about parameterized types, which are important for building scalable software systems.

By the end of this course, you will understand both algorithmic thinking and core Java programming principles, giving you a strong founda