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⏱ 2h 54m📚 29 lessons
Core Concepts of Computer Science and Informatics
Master the essential principles of data representation, algorithms, and logical operations to build a strong foundation in computational thinking.
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About this course
Many technical careers start with a solid understanding of fundamental computer science principles. This course demystifies the core concepts of information, logic, and computation.
By the end of this program, you will possess a robust understanding of how computers process information, solve problems using algorithms, and apply Boolean logic. This knowledge is crucial for anyone planning to pursue programming, data science, or technical fields.
What you'll learn:
* Understand how information is encoded and represented using various number systems (binary, hexadecimal).
* Analyze and design basic algorithms using flowcharts and pseudocode for effective problem-solving.
* Apply the rules of Boolean algebra and logic gates to construct and simplify logical expressions.
* Practice foundational programming concepts like variables, control structures, and iteration using modern syntax.
* Learn essential concepts of basic networking and data management principles.
The course begins with foundational terminology and data representation, progresses through algorithmic thinking and logical structures, and concludes with practical applications of basic programming and computational models. All material is presented through clear, step-by-step written explanations and practical exercises.
This course is designed for absolute beginners with no prior experience in computer science or programming. If you are starting your technical education or seeking to understand the core mechanics behind computing, this is the perfect starting point.
Start building your computational foundation today.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 54m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.