LOGICAL CIRCUIT DESIGN PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
EEE209	LOGICAL CIRCUIT DESIGN	5	4	3	5

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. OĞUZHAN ÖZTAŞ
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	To teach students the basics of logic design, synthesis and verification using hardware description languages. The course is to teach students to concentrate on the ever-evolving practices of basic computer design concepts that have strong links with real technology.
Contents of the Course Unit:	Digital Systems Overview / Number Systems and Transformation / Boolean Algebra / Boolean Algebraic Simplification / Boolean Algebra Applications, Logic Gates / Karnaugh Maps / Quin-McCluskey Reduction Method / Multi-level Logic Gate Circuits, NAND and NOR gates / Multiple Output Logic Circuits / Multiplexers / Decoders / Encoders / Read Only Memory (ROM), Programmable Logic Gate Arrays (PAL) / Combinatorial Logic Circuit Design / Sequential Logic Circuits Overview / Holders and Flip-Flop Circuits / Registers and Counters / Analysis of Sequential Logic Circuits / Status Derivation of Diagrams and Tables / Reduction of State Diagrams and Tables / Design of Sequential Logic Circuits / Logic Circuit Design by Data Flow Method.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Defines the number systems, codes and transformation used in digital systems.
Boolean Algebra can explain Boolean functions and algebraic simplification.
Boolean algebra applications define logic gates.
Karnaugh maps and defines Quin-McCluskey reduction methods.
Multi-level logic gate circuits can define multi-output logic circuits.
Learn the multiplexers, decoders and encoders.
Can realize the combinational logic circuit design.
Define programmable combinational and sequential logic circuits.
Can perform random logic circuit analysis and design.
Define the design, analysis and simulation of digital logic circuits using electronic design automation software.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Digital Systems Overview, Number Systems and Transformation	-
2	-	Boolean Algebra, Algebraic Simplification of Boolean Functions	-
3	-	Boolean Algebra Applications, Logic Doors, Karnaugh Maps	-
4	-	Karnaugh Maps, Quin-McCluskey Reduction Method	-
5	-	Combinatorial Logic Adder and Subtractor Circuits	-
6	-	Multiplexers, Decoders, Coders	-
7	-	Read Only Memory (ROM), Programmable Logic Gate Arrays (PAL)	-
8	-	MID-TERM EXAM	-
9	-	An Overview of Sequential Circuits, Holders and Flip-Flop Circuits	-
10	-	Sequential Logic Circuits Analysis	-
11	-	Analysis of Sequential Logic Circuits, Derivation of State Diagrams and Tables, Reduction of State Diagrams and Tables	-
12	-	Design of Sequential Logic Circuits	-
13	-	Registers and Counters	-
14	-	Logic Circuit Design with Data Flow Method	-
15	-	Design applications	-
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Digital Design, 5/E, M. Morris Mano and Michael D. Ciletti, Prentice Hall, 2012.
Digital Design: Principles and Practices Package, 4/E, John F. Wakerly, Prentice Hall, 2006.
M. Yağımlı, F. Akar. (2012) "Dijital Elektronik", Beta Basım.
A. Dervişoğlu. (2002), "Lojik Devreler Ders Notları", İTÜ Yayınları.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Explains the fundamental engineering concepts of computer science and relates them to the groundwork of computer science.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Uses theoretical and practical knowledge coming from mathematics, probability, statistics and various other branches of life sciences, to find solutions to engineering problems.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Determines the components and the underlying process of a system and designs an appropriate computational model under reasonable constraints.
2	Designs a computer-aided conceptual model with modern techniques.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Determines, detects and analyzes the areas of computer science applications and develops appropriate solutions.
2	Identifies, models and solves computer engineering problems by applying appropriate analytical methods.
3	Determines and uses the necessary information technologies in an efficient way for engineering applications.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.
2	Possess the ability to conduct effective individual study.
3	Takes responsibility as a team work and contributes in an effective way.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	4	56
Preliminary & Further Study	1	2	2
Land Surveying	0	0	0
Group Work	2	5	10
Laboratory	2	2	4
Reading	0	0	0
Assignment (Homework)	2	5	10
Project Work	2	6	12
Seminar	0	0	0
Internship	0	0	0
Technical Visit	1	1	1
Web Based Learning	0	0	0
Implementation/Application/Practice	3	4	12
Practice at a workplace	1	2	2
Occupational Activity	1	2	2
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	2	5	10
Final Exam	1	1	1
Preparation for the Final Exam	1	1	1
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	1	1
Short Exam	1	1	1
Preparation for the Short Exam	1	1	1
TOTAL	37	0	127