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		2	2	0	3	5

Pre-requisite Course(s)
EE 203

Course Language	English
Course Type	N/A
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 subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2	The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.					X
3	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4	The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5	The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6	The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7	Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8	The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9	Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10	The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11	Knowledge of the standards utilized in software engineering applications
12	Knowledge on business practices such as project management, risk management and change management;
13	Awareness about entrepreneurship, innovation
14	Knowledge on sustainable development
15	Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16	Awareness of the legal consequences of engineering solutions
17	An ability to describe, analyze and design digital computing and representation systems.
18	An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

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