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Foundations of Modern Programming & Algorithms

15 Weeks • 90 Hours — Build your foundation in programming by learning Python, Java, JavaScript, and essential Data Structures for modern software engineering.

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About the Course

The Foundations of Modern Programming & Algorithms course is designed to help students master the building blocks of coding — from logic and syntax to problem-solving using multiple programming languages.

This course lays the groundwork for real-world development, helping learners transition into advanced areas like Frontend, Backend, or DevOps Engineering confidently.

15-Day Syllabus Overview

Day 1

Introduction to Programming

  • Understanding how programs work and why we code
  • Concepts of variables, data types, and constants
  • Basic syntax across programming languages
  • Setting up your first coding environment

Outcome: Develop a clear understanding of how code executes and interacts with data.

Day 2

Flow Control

  • Conditional logic using if-else and switch statements
  • Loops: for, while, and do-while
  • Writing pseudocode and understanding algorithm flow
  • Practical examples of conditional statements

Outcome: Learn to control program flow and decision-making effectively.

Day 3

Python Basics

  • Syntax and indentation in Python
  • Variables, operators, and data types
  • Loops and conditional statements
  • Simple input/output programs

Outcome: Start programming confidently using Python’s simple and expressive syntax.

Day 4

Python Functions & Programs

  • Creating and calling functions
  • Using parameters and return statements
  • Organizing code into reusable modules
  • Building small programs using multiple functions

Outcome: Write reusable and modular Python programs efficiently.

Day 5

Python Practice Day

  • Solving logical problems using loops and conditions
  • Implementing small algorithms (sum, factorial, palindrome)
  • Debugging Python scripts
  • Collaborating on simple GitHub projects

Outcome: Apply Python concepts to solve real coding challenges.

Day 6

Introduction to Java

  • Setting up Java environment and running your first program
  • Understanding OOP (Object-Oriented Programming) concepts
  • Classes, objects, and methods overview
  • Printing and handling basic input/output

Outcome: Gain a foundational understanding of object-oriented programming with Java.

Day 7

Java Methods & Examples

  • Defining and invoking methods
  • Method parameters and return types
  • Inheritance and method overriding basics
  • Practical Java examples with classes and objects

Outcome: Build reusable Java components using methods and inheritance.

Day 8

Java Practice Day

  • Writing small Java programs using OOP principles
  • Combining multiple classes into one project
  • Using collections and loops effectively
  • Exploring Java compiler errors and debugging

Outcome: Enhance Java programming confidence through hands-on exercises.

Day 9

JavaScript Basics

  • Introduction to web scripting with JavaScript
  • Variables, operators, and loops in JS
  • Functions and basic DOM manipulation
  • Working with arrays and simple browser events

Outcome: Understand how JavaScript powers interactivity in web applications.

Day 10

JavaScript Events & Web Apps

  • Handling user interactions (clicks, input, submit)
  • Dynamic DOM updates using JavaScript
  • Basic form validation techniques
  • Building a small interactive webpage

Outcome: Learn to create interactive web experiences using JavaScript.

Day 11

JavaScript Practice Day

  • Developing a mini web app with event handling
  • Working with JSON and API data basics
  • DOM traversal and element manipulation
  • Collaborative coding using GitHub

Outcome: Apply JavaScript knowledge to build small interactive projects.

Day 12

Data Structures – Arrays & Lists

  • Understanding how arrays and lists store data
  • Operations on arrays: insert, delete, search, sort
  • Iterating through lists and collections
  • Real-world use cases of arrays

Outcome: Master basic data organization with arrays and lists.

Day 13

Data Structures – Stacks & Queues

  • Concept and working of stacks (LIFO) and queues (FIFO)
  • Push, pop, enqueue, and dequeue operations
  • Implementing stacks/queues in Python or Java
  • Common stack and queue problems

Outcome: Learn to implement and apply stack and queue algorithms in coding.

Day 14

Data Structures – Trees & Hash Maps

  • Tree terminology: root, nodes, leaves, traversal
  • Binary tree vs binary search tree
  • Introduction to hash maps and key-value storage
  • Search algorithms and efficiency concepts

Outcome: Understand hierarchical and hashed data structures for optimized lookups.

Day 15

Wrap-up & Q&A

  • Comprehensive review of Python, Java, and JavaScript fundamentals
  • Discussing data structures in interviews
  • How to learn any new programming language effectively
  • Q&A and practice challenges

Outcome: Consolidate programming foundations and prepare for further specialization.

Why Join PerfectSDE?

Hands-On Learning

Every session focuses on practical implementation, not just theory.

Mentor-Led Sessions

Learn directly from engineers experienced in real-world development and deployments.

Career Support

Build a strong portfolio, gain interview guidance, and prepare for high-paying SDE roles.

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