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⏱ 2h 54m📚 29 lessons
Computer Science Exam Prep: Foundations for the OGE
Master core computer science concepts, algorithms, and practical tasks to confidently pass your OGE exam through structured written lessons.
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About this course
Preparing for your first major computer science exam can feel overwhelming without a clear roadmap. This course simplifies complex topics into easy-to-understand written lessons designed to build your confidence and knowledge. You will transition from feeling uncertain about exam requirements to systematically solving core problems in logic, number systems, and basic programming. By reading through structured explanations and practicing with written exercises, you will develop the analytical skills needed to succeed. What you'll learn: Understand fundamental number systems, binary arithmetic, and information encoding; Apply basic mathematical logic to solve truth tables and logical expressions; Analyze algorithms and write simple, clean code using modern Python syntax; Configure and manipulate spreadsheet data using essential formulas and functions; Master file system navigation and search techniques required for practical tasks; Practice solving typical exam-style problems through step-by-step written walkthroughs. The course begins with foundational definitions and key terminology before advancing to step-by-step breakdowns of logic, data processing, and basic programming. You will progress naturally from theoretical concepts to practical, exam-oriented problem-solving. This course is designed specifically for school students preparing for the OGE in Computer Science and beginners who want to build a solid foundation in computing. No prior programming or advanced technical knowledge is required. Start reading today to build your confidence and master the essentials of computer science.
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
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Certificate of Mastery
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Computer Science Exam Prep: Foundations for the OGE
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Computer Science Exam Prep: Foundations for the OGE