Foundational Algorithms and Logic for CS Assessment

Standardized tests and foundational technology assessments require a solid grasp of core computational concepts and logical reasoning. Without a clear understanding of fundamental algorithms and data representation, solving complex problems under pressure is challenging. This course provides a structured, text-based path to mastering the essential computer science knowledge needed to approach any rigorous assessment confidently. This course focuses on building computational fluency through reading and practicing written examples and exercises. What you'll learn: * Understand core data representation systems, including binary, hexadecimal, and floating-point formats. * Master fundamental algorithmic patterns, including searching, sorting, and recursive problem-solving. * Practice computational logic and problem-solving using structured programming concepts and pseudocode. * Apply basic data structures like arrays and lists to solve common computational challenges. * Analyze algorithm efficiency using Big O notation to select the most optimized solutions. * Learn to interpret and apply Boolean algebra and logical operations to solve circuit and conditional problems. The course begins with foundational definitions of data types and logic gates, progresses through algorithmic complexity and control structures, and culminates in applied problem-solving practice designed to test comprehension. This course is ideal for beginners, especially students or professionals preparing for foundational technology assessments. No prior computer science experience is required. Start building your essential computer science foundation today.