Introduce to Computer Science (CS 101-A)

Dive into the core of computing with this rigorous, end-to-end foundation in computer science and programming fundamentals. From algorithm design and low-level hardware to modern cloud architectures and cybersecurity, this course equips aspiring computer scientists with the deep theories and engineering frameworks required to excel in the tech industry.

  • 16:34:34 hr(s)
  • Wed, 29-Jul-2026
  • English
  • Certified Course
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About This Course

Welcome to Introduction to Computer Science and Programming Fundamentals! Based on the comprehensive OpenStax textbook authored by Dr. Jean-Claude Franchitti and other experts, this course is designed as the ultimate entry point for Bachelor of Computer Science (BCS) students. This course goes far beyond basic coding; it provides a rigorous, end-to-end foundation in core computer science concepts, aligning with the scope and sequence of top-tier academic introductory courses. You will explore the entire computing stack, from the mathematical foundations of computational thinking and algorithm design to low-level hardware realizations, high-level software engineering, and the deployment of modern cloud-native solutions.

 

What You Will Learn

Throughout this course, you will build the critical technical skills required for advanced computer science studies and a professional software engineering career. You will learn to:

  • Apply Computational Thinking: Master decomposition, abstraction, pattern recognition, and algorithmic paradigms to systematically solve complex computational problems.
  • Design Algorithms and Data Structures: Analyze the formal properties and time/space complexity of algorithms (using Big O notation) and understand essential data structures like trees, graphs, and hash tables.
  • Understand Computer Systems Organization: Discover how algorithms are realized in hardware and software, exploring low-level programming (such as C and assembly), memory hierarchy, processor architectures, and operating system abstractions.
  • Develop Software Solutions: Learn the principles of high-level programming language constructs, software engineering processes, and relational and nonrelational data management.
  • Build Modern Architectures: Gain insight into designing modern web applications, cloud-native deployments, and hybrid multicloud digital solutions.
  • Practice Responsible Computing: Navigate the complexities of cybersecurity, data governance, and the ethical, human-centered societal impacts of computing technologies.

 

Why Take This Course?

A successful computer scientist must understand the "why" and "how" behind technology, not just the syntax of a specific programming language. This course bridges the gap between abstract computer science theory and practical, physical implementations. By exploring both the theoretical limits of computation (such as Turing machines and P vs. NP concepts) and the applied engineering of modern software, you will gain a holistic, systems-level understanding of the discipline. This forward-looking curriculum prepares you to seamlessly transition into advanced topics like artificial intelligence, machine learning, cybersecurity, and cloud computing, giving you the robust foundation needed for long-term academic and professional success.

 

Who Should Take This Course?

This course is meticulously designed for first-year Bachelor of Computer Science (BCS) students, future software engineers, and aspiring computer scientists. Whether you are just beginning your academic degree or looking to solidify a highly technical understanding of core computer science principles from the ground up, this course will equip you with the deep theories and engineering frameworks required to excel in the technology industry.

 

What will I learn?

  • A solid, holistic understanding of the entire computing stack from bare-metal hardware to cloud interfaces.
  • The ability to communicate and collaborate effectively within professional software engineering teams.
  • Readiness to pursue advanced studies in AI, machine learning, data science, and cloud computing.
  • A comprehensive grasp of cybersecurity principles and responsible computing ethics to build secure, human-centered tech.

Verifiable Credentials

Every single course certificate issued by Atlanta College of Liberal Arts and Sciences (ACLAS) is verifiable via our digital registry and is eligible for institutional authentication (Apostille/IECC), ensuring your professional milestones are recognized globally as of 2026.

Curriculum

Requirements

  • High school-level mathematics and a strong grasp of foundational logic and problem-solving.
  • Basic computer literacy and familiarity with operating systems and internet navigation.
  • A reliable computer with internet access to view video lectures and engage with course materials.
  • A strong curiosity and dedication to learning both theoretical concepts and applied engineering.
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Preview this course
$ 30 $ 64.99
  • Lectures141
  • Skill LevelBeginner
  • LanguageEnglish
  • Quizzes2
  • CertificateYes
  • Expiry period Lifetime
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Introduce to Computer Science (CS 101-A)
$ 30 $ 64.99