 <h1>Congratulations! 🎉 </h1>
    <p style="color:#637381;">All done! You’ve completed another milestone.</p>

To continue, enter your details to log in.

We’ve sent a 6‑digit code to #MAIL_ADDRESS#\nPlease check your inbox or spam folder and enter the code below to continue.

Verification code sent

Thank you for the payment. You can now access {collectionName} by simply clicking the button below.

Yes, you’ve successfully ordered! 🎉

Unlock This Exclusive Course

It seems that your email address is not currently on the authorized access list. Please ensure you are using the email address that was invited, or contact the content owner for assistance.

Verification Required for Access

Getting Started with Computer Science

Course Orientation and What Is Computer Science?

Representing Information: Data, Binary, and Abstraction

Programming Foundations

Algorithms: Designing Step-by-Step Solutions

Programming Basics: Variables, Control, and Functions

Data Structures: Organizing Data for Efficiency

Systems and the Web

Computer Architecture and Operating Systems

Networking and the Internet

Computational Problem Solving and Ethics

Practical Problem Solving with Algorithms and Data

Ethics, Impact, and Careers in Computing

Knowledge Checks

Quiz: Foundational Concepts and Binary

Quiz: Algorithms and Complexity Intuition

Quiz: Programming Basics and Debugging

Quiz: Data Structures Essentials

Quiz: Systems, Networking, and Security Basics

Wrap-Up and Feedback

Capstone Reflection and Next Steps

Course Feedback Survey

Badge Card

Foundations of Computer Science: Algorithms, Data Structures, and Abstraction is a beginner-friendly course that gives you a strong, practical grasp of how computing works—from the bits inside a machine to the algorithms that power modern software. You’ll learn how to think like a computer scientist: breaking problems down, spotting patterns, designing step-by-step solutions, and choosing the right data structures for clarity and performance. Along the way, we connect core theory to real systems: computer architecture, operating systems, networking, and the web. You’ll build intuition for efficiency with Big-O, practice debugging and testing, and see how representation choices affect correctness and precision. Through case studies in searching, sorting, and pathfinding, you’ll learn to measure behavior, handle edge cases, and translate problem statements into tested solutions. We also explore responsible computing—privacy, security, bias, and accessibility—so you can design with impact in mind. By the end, you’ll have a well-rounded toolkit to analyze problems, design clean solutions, and understand how software interacts with hardware and networks. Whether you’re aiming for software engineering, data, systems, or interdisciplinary roles, this course provides the essential foundation and a roadmap for your next steps.

Foundations of Computer Science: Algorithms, Data Structures, and Abstraction

<div class="simple-box-wrapper">
    <div class="simple-box">
        <div class="column">
            <p>Computer science is the art and science of turning ideas into reliable, efficient, and ethical computational solutions. This course builds a rigorous foundation across three pillars—algorithms, data structures, and abstraction—while situating them in the broader context of systems and the web. You will learn how information is represented from bits to bytes, why abstraction lets us manage complexity from transistors to programs, and how algorithmic thinking—decomposition, pattern recognition, abstraction, and step-by-step procedures—translates messy problems into solvable ones. Along the way, we’ll clarify what computer science is (and isn’t), connect historical milestones to modern practice, and highlight the societal impact of computing.</p>

<p>The journey begins with getting oriented: expectations, assessments, and the scope of CS beyond programming. You’ll then explore how data is encoded—binary, number bases, text, images, audio—and the trade-offs involved in representation and precision. With that groundwork, we move into programming foundations: designing algorithms with properties like correctness and efficiency; expressing logic via pseudocode, flowcharts, and control structures; and mastering variables, loops, functions, and a disciplined debugging mindset. You’ll study core data structures—arrays, lists, stacks, queues, dictionaries, and strings—learning when to choose each structure and how recursion and tree-shaped data unlock new problem-solving strategies.</p>

<p>From there, we connect code to the machines and networks that run it. You’ll survey computer architecture (CPU, memory, storage, I/O), how compilers and interpreters translate your ideas into machine instructions, and how operating systems schedule processes, manage files, and secure access. We then step onto the Internet: packets, addressing, routing, the protocol stack, and web fundamentals like DNS, HTTP/HTTPS, browsers, APIs, and essential security practices including encryption and authentication.</p>

<p>Throughout the course, you’ll apply concepts to practical problem solving—analyzing and implementing searching, sorting, and pathfinding; measuring behavior with time/space intuition (Big-O); and testing solutions against real inputs and edge cases. Knowledge checks punctuate your progress with focused quizzes on binary, algorithms, programming basics, data structures, and systems. We conclude by synthesizing how algorithms, data structures, and abstraction underpin modern systems and applications, reflecting on responsible computing—privacy, bias, accessibility, sustainability—and exploring career pathways across software, data, systems, research, and interdisciplinary roles. You’ll leave with a durable mental model of computing and a roadmap for lifelong learning and participation in the open-source community.</p>
        </div>
    </div>
</div>
