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	General 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	Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems.
2	Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.					X
3	Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4	Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively.
5	Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6	Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7	Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8	Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9	Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10	Acts in accordance with ethical principles and has awareness of professional and ethical responsibility.
11	Has knowledge about the standards used in computer engineering applications.
12	Has knowledge about workplace practices such as project management, risk management, and change management.
13	Gains awareness about entrepreneurship and innovation.
14	Has knowledge about sustainable development.
15	Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16	Gains awareness of the legal consequences of engineering solutions.
17	Analyzes, designs, and expresses numerical computation and digital representation systems.
18	Uses programming languages and appropriate computer engineering concepts to solve computational 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