Advanced Digital Design with HDL (EE425) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Advanced Digital Design with HDL	EE425	Area Elective	2	2	0	3	5

Pre-requisite Course(s)
EE203

Course Language	English
Course Type	Elective Courses
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Demonstration.
Course Coordinator
Course Lecturer(s)	Asst. Prof. Dr. Mehmet Efe Özbek
Course Assistants
Course Objectives	Sayısal devrelerin bir donanım tanımlama dili kullanarak nasıl tasarlanıp temsil edilebileceğini ve bir programlanabilir cihaz ile nasıl gerçekleştirilebileceğini öğretmek
Course Learning Outcomes	The students who succeeded in this course; Write Verilog code describing a synchronous sequential circuits using behavioral design elements. Design finite state machines with datapath in RTL level from given logical specifications. Write Verilog code describing finite state machines with datapath. Design and write code for testing sequential circuits. Verify the operation of sequential circuits using simulation tools Synthesize the designs on an FPGA and verify its operation
Course Content	Behavioural, dataflow and structural modelling of digital circuits with Verilog HDL. Language constructs of Verilog. Design of finite state machines with data path using Verilog. Introduction to modern CAD tools. Simulation and verification of digital circuits.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Introduction to HDLs, Verilog overview: Structural and dataflow representation of combinational circuits with Verilog	Review lecture notes.
2	Verilog overview: Behavioral representation of combinational circuits, testbenches, simulation of combinational circuits	Review lecture notes.
3	Verilog operators, datatypes	Review lecture notes.
4	Representation of number in verilog, bit length adjustment	Review lecture notes.
5	Always block, coding guidelines, coding examples	Review lecture notes.
6	Coding examples	Review lecture notes.
7	Review of finite state machines, design examples	Review lecture notes.
8	Timing diagram of finite state machines, ASM chart	Review lecture notes.
9	Representation of finite state machines with Verilog	Review lecture notes.
10	Finite state machine coding examples	Review lecture notes.
11	Finite state machine coding examples	Review lecture notes.
12	Verilog representation of regular sequential circuits: Registers, shift registers, counters etc.	Review lecture notes.
13	Finite state machine with data path, Verilog representation	Review lecture notes.
14	Finite state machine with data path design examples	Review lecture notes.
15	Final Examination	Review course material
16	Final Examination	Review course material

Sources

Other Sources	1. FPGA Prototyping Using Verilog Examples, Chu

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	1	30
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	-	-
Presentation	-	-
Project	-	-
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	2	40
Final Exam/Final Jury	1	30
Toplam	4	100

Percentage of Semester Work	70
Percentage of Final Work	30
Total	100

Course Category

Core Courses	X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
2	Ability to formulate, and solve complex mechatronics engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3	Ability to design a complex mechatronics engineering system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4	Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in mechatronics engineering and robot technology practices; ability to employ information technologies effectively.
5	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex mechatronics engineering and robot technology problems or research questions.
6	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7	Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8	Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9	a-) Knowledge on behavior according to ethical principles, professional and ethical responsibility b-) Knowledge on standards used in engineering practices.
10	a-) Knowledge about business life practices such as project management, risk management, and change management b-) Awareness in entrepreneurship, innovation; knowledge about sustainable development.
11	Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
12	Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions in the field of mechatronics engineering.
13	Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planning, improving or changing the norms with a criticism.

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	2	32
Laboratory	7	2	14
Application
Special Course Internship
Field Work
Study Hours Out of Class	14	4	56
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	2	6	12
Prepration of Final Exams/Final Jury	1	10	10
Total Workload			124