PhD in Mechatronic Engineering (English) with a master's degree
PhD	TR-NQF-HE: Level 8	QF-EHEA: Third Cycle	EQF-LLL: Level 8

General course introduction information

Course Code:

ECE534

Course Name:

Digital System Design

Course Semester:

Fall
Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
		3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

PhD

TR-NQF-HE:8. Master`s Degree

QF-EHEA:Third Cycle

EQF-LLL:8. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi DİDEM KIVANÇ TÜRELİ

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

The purpose of this course is to introduce modern digital design techniques using hardware description languages.

Course Content:

Introduction to modern digital circuit design techniques using hardware description languages, such as VHDL and Verilog. Coding techniques for combinational and sequential circuits. Timing closure concepts and techniques. Finite state machine and its application. Laboratory exercises range from simple combinational circuits to complex finite state machines and are implemented into Field Programmable Gate Array.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understanding of digital design flow
2) Ability to analyze requirements and design corresponding digital systems
3) Ability to analyze digital systems coded using Verilog and VHDL
4) Ability to design combinational and sequential circuits using Verilog and VHDL
5) Ability to design complex finite state machines using Verilog and VHDL
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction and course overview	None
2)	The Design Process	None
3)	Design Descriptions and CAD Tools	None
4)	System Design Concepts	None
5)	Review of Transistors and PLD devices	None
6)	Implementation of Logic Functions	None
7)	Arithmetic Circuits	None
8)	Building Block Approach for Combinational Circuits	None
9)	Registers and Counters	None
10)	Synchronous Sequential Circuits	None
11)	Synthesis using VHDL	None
12)	VHDL	None
13)	VHDL	None
14)	VHDL	None

Sources

Course Notes / Textbooks:	Class Notes
References:	HDL Chip Design, Douglas J. Smith, ISBN: 978-0-965-19343-6 Verilog for Digital Design, Frank Vahid, Roman Lysecky, ISBN: 978-0-470-05262-4 VHDL for Digital Design, Frank Vahid, Roman Lysecky, ISBN: 978-0-470-05263-1

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2) Ability to design mechatronic products and systems using the mechatronics approach
3) Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4) Ability to communicate effectively and teamwork with other disciplines
5) Understanding of performing engineering in accordance with ethical principles
6) Understanding of using technology with awareness of local and global socioeconomic impacts
7) Approach to knowing and fulfilling the necessity of lifelong learning

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Knowledge and ability to apply the interdisciplinary synergetic approach of mechatronics to the solution of engineering problems
2)	Ability to design mechatronic products and systems using the mechatronics approach
3)	Knowledge and ability to analyze and develop existing products or processes with a mechatronics approach
4)	Ability to communicate effectively and teamwork with other disciplines
5)	Understanding of performing engineering in accordance with ethical principles
6)	Understanding of using technology with awareness of local and global socioeconomic impacts
7)	Approach to knowing and fulfilling the necessity of lifelong learning

Learning Activity and Teaching Methods

Lesson
Lab
Application (Modelling, Design, Model, Simulation, Experiment etc.)

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	5	% 20
Midterms	1	% 40
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Project	1	24	24
Homework Assignments	2	16	32
Midterms	1	16	16
Final	1	24	24
Total Workload			138