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TR

DIGITAL LOGIC DESIGN

Course
EELE221 - DIGITAL LOGIC DESIGN
Department
Electrical - Electronic Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
4
ECTS
5
T+P+L
3 + 0 + 2
Course Coordinator(s)
Asst. Prof. Dr. Parvaneh SARGON
Prerequisite
-
Keywords

Course Description

This course presents the basic tools for the design and analysis of digital circuits and provides methods and procedures suitable for a variety of digital design applications in computers, control systems, data communications, etc. The course introduces data representation in binary systems, complements, Boolean algebra, logic gates, truth tables, logic circuits, timing diagrams, De Morgan's law, algebraic manipulation, minterms and maxterms, Sum of Products (SOP) and Product of Sums (POS) forms, Boolean function simplification tools and Karnough Map method, NAND and NOR implementations, don't care conditions, combinational circuit design and analysis procedures, and design of Adders, Subtracters and Code Converters.

DIGITAL LOGIC DESIGN

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 35
Lab Assignment 10
Lab quiz Quiz 10
Final Final 45
Total 100

Course outcomes

  1. 01 Learn data representation in computers.
  2. 02 Learn Boolean algebra system.
  3. 03 Optimize Boolean functions.
  4. 04 Design combinational circuits to solve specific problems in hardware.
  5. 05 Learn basic combinational circuits used in digital computers.

Course Syllabus

Week Topic
Week 1 Binary Systems
Week 2 Binary Systems
Week 3 Boolean Algebra
Week 4 Logic Gates
Week 5 Simplification of Boolean Functions - Algebraic Manipulation
Week 6 Minterms and Maxterms - SOP Form
Week 7 Minterms and Maxterms - POS Form
Week 8 Midterm Examination
Week 9 Simplification of Boolean Functions - Karnough Map Method
Week 10 Don't Care Conditions, NAND and NOR Implementations
Week 11 Combinational Circuit Design
Week 12 Combinational Circuit Design - Adders and Subtracters
Week 13 Combinational Circuit Design - Selected Design Problems
Week 14 Analysis of Combinational Circuits
Week 15 Final Exam

Reference Books & Course Materials

  1. 01 M.M.Mano and C.R.Kime, “Logic and Computer Design Fundamentals”, 3rd Edition, Prentice-Hall 2004.
  2. 02 M.M.Mano, “Digital Design”, Prentice-Hall 2002.

Learning Outcomes

  1. L01 Learn data representation in computers.
  2. L02 Learn Boolean algebra system.
  3. L03 Optimize Boolean functions.
  4. L04 Design combinational circuits to solve specific problems in hardware.
  5. L05 Learn basic combinational circuits used in digital computers.

Program Outcomes

  1. Should be able to write effective reports, understand written reports, and prepare design and production reports.
  2. Should have the ability to make effective presentations.
  3. Should have the ability to give and have clear and understandable instructions.
  4. Should gain consciousness (awareness) about the necessity of lifelong learning.
  5. Should have the ability to access information.
  6. Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  7. Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  8. Should gain knowledge about the standards used in engineering applications.
  9. Should gain knowledge about project management, risk management, and change management practices in business life.
  10. Should gain awareness about entrepreneurship, and innovation.
  11. Should gain knowledge about development in sustainability.
  12. Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  13. Awareness should be gained about the legal consequences of engineering solutions.
  14. Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  15. Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  16. Should have the ability to detect, define, formulate, and solve complex engineering problems.
  17. Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  18. Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  19. Should have the ability to apply modern design methods.
  20. Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  21. Should have the ability to use information technologies effectively.
  22. Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  23. Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  24. Should have the ability to work in intradisciplinary teams.
  25. Should have the ability to work in interdisciplinary teams.
  26. Should have the skills to work individually.
  27. Should have the ability to communicate effectively verbally and in writing.
  28. Should have the knowledge of at least one foreign language.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
L05 - - - - - - - - - - - - - - - - - - - - - - - - - - - - -