This document provides an overview and syllabus for the CSE 204 Digital Logic Design course. The class will meet once a week for theory and once a week for lab. Evaluation will be based on attendance, homework, quizzes, midterm, lab, and final exam. The textbook is Logic and Computer Design Fundamentals by Mano and Kime. Digital logic design involves representing real-world analog inputs digitally using bits and binary and then processing the digital data. Key topics that will be covered include number systems, information representation using bits, digital vs analog, limitations and advantages of digital systems, and digital logic.

1. CSE 204
Digital Logic Design
Lecture 01
Dr. Tarem Ahmed

2. Course Information

3. Class Timings
• Theory: ST, 13:40~15:10
• Lab: R, 13:40~15:10
• Office Hours: Before/after class, and by
appointment

4. Evaluation Method
• Attendance and participation: 10%
• Homework and quizzes: 15%
• Midterm: 20%
• Lab: 25%
• Final: 30%_
• Total: 100%

5. HW and Quizzes
• Weekly HW and Quizzes
• All quizzes will count, total will be
scaled by highest aggregate

6. Textbook
• Textbook:
• Mano and Kime, Logic and Computer Design
Fundamentals, 5th Edition Updated, Addison-Wesley
• Reference book:
• Katz, Contemporary Logic Design,
Benjamin/Cummings.
• Reading required!!!

7. Grading Policy
A A- B+ B B- C+ C C- D+ D F
90 - 100 85 - <90 80 - <85 75 - <80 70 - <75 65 - <70 60 - <65 55 - <60 50 - <55 45 - <50 <45

8. Piazza Link
• IUB
• Summer 2019
• Digital Logic Design
• CSE204-02
• Please register…

9. Let us begin…

10. Analog vs Digital
• Analog data can vary over a continuous
range of values. Example: a speedometer
• Digital quantities can take on only discrete
values (0 and 1, high and low). Example:
Digital Computer, Decimal Digits, Alphabets

11. Digital System
• A digital system is a combination of
devices designed to manipulate physical
quantities or information that are
represented in digital form.
• “A discreet information processing system”
• Signals: Discreet information

12. Limitations of Digital
Technology
• The real world is analog!
• Human senses are analog!

13. Overcoming the Limitations
• Convert the real world analog input data
into digital one
• Process this digital data
• Then again convert back into analog form

14. Advantages of a Digital System
• Better noise immunity
• Transmission error detection and
correction possible
• Easier information storage
• Data Compression possible
• Data Encryption possible
• Programmability (instructions)
• Hardware cheaper to produce

15. Digital Logic
• Design logic is a term used to denote the
design and analysis of digital systems
• Digital logic is concerned with the
interconnection among digital components
and modules
• Digital logic design is engineering and
engineering means problem solving

16. Number Systems and Codes
Digital Systems are built from circuits that
process binary digits. BUT very few real-
life problems are based on binary
numbers.
SO a digital system designer must
establish some correspondence between
the binary digits processed by digital
circuits and real-life numbers, events and
conditions.

17. Morse Code
• First example of a digital system…

18. Information Representation
 Human decisions tends to be binary i.e.
Yes or No
 Elementary storage units inside computer
are electronic switches. Each switch holds
one of two states: on (1) or off (0).
 We use a bit (binary digit), 0 or 1, to
represent the state.
ON OFF

19. Information Representation (cont’d)
 Storage units can be grouped together to
cater for larger range of numbers.
Example: 2 switches to represent 4
values.
0 (00)
1 (01)
2 (10)
3 (11)

20. Information Representation (cont’d)
 In general, N bits can represent 2N different values.
 For M values, bits are needed.
 
M
2
log
1 bit  represents up to 2 values (0 or 1)
2 bits  rep. up to 4 values (00, 01, 10 or 11)
3 bits  rep. up to 8 values (000, 001, 010. …, 110, 111)
4 bits  rep. up to 16 values (0000, 0001, 0010, …, 1111)
32 values  requires 5 bits
64 values  requires 6 bits
1024 values  requires 10 bits
40 values  requires 6 bits
100 values  requires 7 bits

21. Notes
• Reading
– Lesson Plan
– Mano and Kime, Ch 1-1