Computer Science Fundamentals Course

Master Core CS Concepts that every aspiring software developer, engineer, or tech student must know. This course covers the essential theoretical foundations of computer science, from programming logic and algorithms to operating systems, networks, and database principles.

Key Highlights

Live Training by CS Graduates from Top Institutes

100+ Hours of Instructor-Led + Self-Paced Learning

Interactive Quizzes & Assignments on Core Concepts

Industry-Relevant Curriculum Aligned with B.Tech/CS Degrees

About the CS Fundamentals Course Overview

This course is crafted to give learners a comprehensive and practical understanding of key computer science topics that form the backbone of software engineering, development, and system design. A perfect start for beginners, CS undergrads, and anyone preparing for tech interviews.

What Courses Will This Program Offer?

The course is divided into 10 modules, each focusing on an essential CS subject area:

 

Course Curriculum
  • Course 1: Introduction to Programming Concepts (C/C++/Python)

  • Course 2: Data Structures & Algorithms Basics

  • Course 3: Operating Systems & Process Management

  • Course 4: Computer Networks & Web Protocols

  • Course 5: Database Management Systems (DBMS)

  • Course 6: Object-Oriented Programming (OOP) Principles

  • Course 7: Software Engineering & SDLC

  • Course 8: Computer Architecture & Memory Management

  • Course 9: Discrete Mathematics & Logic for Computing

  • Course 10: Theory of Computation & Compiler Basics

  • Capstone Project: Design a Mini OS, Compiler Component, or Networked App Simulation

What Skills Will You Master in This Course?

By the end, you’ll develop a holistic understanding of how computers, systems, and programs work together to solve complex problems:

  • Programming Logic & Problem Solving

  • Memory & Storage Concepts in OS

  • TCP/IP, HTTP/HTTPS, DNS, Firewalls

  • Data Organization and Access with SQL/NoSQL

  • Algorithms, Time Complexity & Recursion

  • Threading, Deadlocks, and CPU Scheduling

  • Software Design Patterns & Development Models

  • CPU, Cache, Buses, Registers & I/O Operations

  • Boolean Algebra, Sets, Graphs & Trees

  • Finite Automata, Grammars, Parsing, and Compilers

Why Learn CS Fundamentals?

Every role in tech — from software engineer to system architect — demands deep understanding of CS basics. Whether you’re a BCA/B.Tech student, preparing for coding interviews, or aiming for product-based company roles, CS fundamentals are non-negotiable.

What Can a CS Fundamentalist Do?
  • Write clean, logical, and efficient programs

  • Analyze how operating systems schedule tasks

  • Understand how data flows across the internet

  • Optimize database queries and storage design

  • Prepare for GATE, placements, and big tech interviews

This course is ideal for completing in 3–4 months, and helps build a solid foundation for advanced learning or specialization.

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Topics Covered in This Course

Programming & DSA
  • Variables, Loops, Recursion, Arrays

  • Searching & Sorting Algorithms

  • Linked Lists, Trees, Stacks, Queues

  • Hashing, Graphs, Greedy, DP

  • Big O Notation, Time/Space Complexity

Operating Systems
  • Process, Threads, Context Switching

  • Scheduling Algorithms (FCFS, RR, SJF)

  • Memory Management, Paging, Segmentation

  • Deadlocks, Semaphores, Critical Section

  • File Systems & Disk Scheduling

Computer Networks
  • OSI & TCP/IP Models

  • IP Addressing & Subnetting

  • DNS, DHCP, HTTP, HTTPS

  • Routing Protocols (RIP, OSPF, BGP)

  • Firewalls, NAT, VPNs

Database Management
  • Relational Model, ER Diagrams

  • SQL Queries, Joins, Normalization

  • Indexing, Views, Transactions, ACID

  • NoSQL (MongoDB) Intro

Software Engineering
  • SDLC Models (Agile, Waterfall)

  • Requirement Analysis & UML

  • Version Control, Testing Basics

  • Git, GitHub, CI/CD Concepts

Computer Architecture
  • Von Neumann Architecture

  • ALU, Control Unit, Registers

  • Instruction Cycles & Pipelining

  • Cache, RAM, ROM, I/O Ports

Mathematics for CS
  • Sets, Relations & Functions

  • Graph Theory & Combinatorics

  • Boolean Algebra & Logic Gates

  • Modular Arithmetic & Number Systems

Theory of Computation
  • DFA, NFA, Regex & Grammar

  • Turing Machines (Basic)

  • Compiler Phases

  • Tokenization, Parsing & Syntax Trees

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1000+

Career Transitions

70 to 80%

Average Salary Hike

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