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 of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems.		X
2	An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this.					X
3	An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this.				X
4	The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively			X
5	Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics.				X
6	An ability to function on multi-disciplinary teams, and ability of individual working.					X
7	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions.				X
8	Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated.	X
9	Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications.			X
10	Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development.				X
11	Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.		X

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