Master Computer Organization بالعربي

شرح وحل الأسئلة العملية اللي تكون موجودة في اغلب الإختباراتThis course provides a comprehensive introduction to key concepts in digital logic and number systems, offering a foundational understanding of essential topics in computer science and electrical engineering. The course begins with Karnaugh Maps (K-Map), a method for simplifying Boolean algebra expressions, which aids in the design of efficient digital circuits. Students will learn how to use K-Maps to minimize logical expressions and optimize circuit designs, essential for minimizing hardware complexity in digital systems.

Next, the course covers Data Representation, focusing on how data is stored and manipulated in digital systems. Topics will include the representation of integers, floating-point numbers, and characters, providing insight into how data is handled at the lowest level within a computer. A critical section of the course is dedicated to the IEEE 754 Standard for Floating-Point Arithmetic, which defines the representation of floating-point numbers in computers.

Students will explore the structure of single and double precision floating-point numbers, understanding how these numbers are encoded, and the challenges associated with floating-point arithmetic. The course also delves into the operation and functionality of Logic Gates, the building blocks of digital circuits. Students will learn how AND, OR, NOT, NAND, NOR, XOR, and XNOR gates work, and how these gates are combined to create more complex logic circuits.

Finally, the course explores number systems, including Binary, Decimal, and Hexadecimal. Students will gain proficiency in converting between these number systems and understanding their relevance in computing. The ability to work with binary, decimal, and hexadecimal systems is fundamental for anyone working with computer hardware or software development.