The document covers the basics of digital logic design, introducing key concepts such as number systems, Boolean algebra, logic gates, and their applications in digital systems and embedded systems. It contrasts analog and digital devices, highlighting the advantages of digital systems in terms of accuracy and reliability. The course aims to equip students with the ability to understand and design complex digital systems.

1. DIGITAL LOGIC DESIGN
Lecture # 01

2. After studying this course , students will be able to:
 Introduce the basics digital systems
 Understand and design digital systems
 Solve complex logical problems and design digital systems
Reference Books
 Digital Logic and Computer Design by Morris Mano
 Fundamentals of logic design by Charles H Roth ; Larry L
Kinney
Course Objectives

3.  Number systems
 Boolean algebra
 Switching algebra
 Logic Gates
 Types of Logic
 Simplification of Boolean Function
 Karnaugh Map/K-MAP
 Combinational logic
 Building blocks: de/mux, De/encoder, shifters, Adder/ subtractor,
multiplier
 Logic minimization
 Mixed logic
 Sequential logic
 Latches or Flip-flops
Objective: Digital Logic
design Overview

4.  Takes a set of discrete information inputs and discrete internal
information (system state) and generates a set of discrete
information outputs.
DIGITAL & COMPUTER
SYSTEMS - Digital System

5. Digital Computer Example

6. And Beyond – Embedded
Systems
Computers as integral parts of other
products
 Examples of embedded computers
 •Microcomputers
 •Microcontrollers
 •Digital signal processors

7. Embedded Systems
Examples of Embedded Systems
Applications
•Cell phones
•Automobiles
•Video games
•Copiers
•Flat Panel TVs
•ETC.

8. Embedded Systems

9. INFORMATION
REPRESENTATION - Signals
 Information variables represented by physical quantities.
 For digital systems, the variables take on discrete values.
 Two level, or binary values are the most prevalent values
in digital systems.
 Binary values are represented abstractly by:
•digits 0 and 1
•words (symbols) False (F) and True (T)
•words (symbols) Low (L) and High (H)
•and words On and Off.
 Binary values are represented by values or ranges of
values of physical quantities

10. Signal Examples Over Time

11. Digital Signal Example –
Physical Quantity: Voltage

12. Binary Values: Other
Physical Quantities
 What are other physical quantities represent 0
and 1?
•CPU Voltage
•Disk
•CD
•Dynamic RAM
 Binary Values: Other Physical Quantities
Magnetic Field Direction
 Surface Pits/Light
 Electrical Charge

13. Digital Wolrd

14. Digital World
 Digital systems spatially computers are driving the world
economy.
• The Internet changing the way to communicate ,shop,
learn, Invest and entertain ourselves.
 This is an amazingly fast moving business.
• Processors double in speed after few months
• The Internet doubles in speed in size and speed every year
 Computers are the most amazing and complex things ever
built by mankind
• The Intel Pentium 4 has millions transistors
• It runs 3 billions cycles per second

15. Analog VS Digital Systems

16. Analog VS Digital Systems

17. Analog VS Digital Systems
 Analog devices process signal that can assume any value across a
continuous range and produce results that are also in continuous
form.
 Digital devices process signal that take only two discrete values such
as 0 and 1 as input and produce output results that can be
represented by 0 and 1 form.
 Examples:
Analog Devices: Solid state devices TV(except for digital TV), Audio
Amplifier etc.
Digital Devices: Computer, CD Players, Digital TV, Smart Phones,
Electronic calculator and Digital Camera etc.

18. Analog VS Digital Systems
 Analog Systems:
• Limited precision, errors accumulate, drift
• Interface circuits (i.e. sensors and accumulators) often analog
 Digital Systems:
• More accurate and reliable
• More Precise and less

19. Binary Systems

20. Computer Systems