Computer Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

CENG210

Course Name:

Digital Circuit Design

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
2	2	3	5

Language of instruction:

Course Requisites:

BST112 - Mantıksal Tasarım | CENG108 - Discrete Structures | CENG110 - Discrete Structures

Does the Course Require Work Experience?:

Type of course:

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. KORAY DÜZTAŞ

Course Lecturer(s):

Assoc. Prof. KORAY DÜZTAŞ

Course Assistants:

Course Objective and Content

Course Objectives:	The purpose of the Digital Circuit Design course is to teach digital logic gates an to tech the analysis and design procedures of combinational and sequential logic circuits..
Course Content:	Number Systems, Base Conversions, Binary code, Binary Logic, Logic Gate. Boolean Algebra, Boolean Functions. Digital Logic Gates, Minterms, Maxterm, K-Map. Combinational Logic, Analysis and design Procedures, Adders, Binary Multiplier, Magnitude Comparator, Decoder (/w enable), Encoder, Multiplexer. Sequential Logic, Latches, Flip-Flops

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Demonstrate the abilitiy to minimize logic expressions, and express Boolean functions in different forms.
2) Abiliy to desing and analyse any logic circuit
3) Demonstrate an understanding of the basics of logic gates and flip-flops.
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)	Number Systems,Algebraic Operations, Base Conversions, Complement.
2)	Binary code, ASCII code, Binary Logic, Logic Gate
3)	Definition of algebra and Boolean Algebra, Boolean Functions
4)	Digital Logic Gates, Minterms, Maxterm
5)	SoP, PoS, Gate Level Minimization, K-Map
6)	NAND, NOR, XOR Gates
7)	Review before MT
8)	MT
9)	Combinational Logic, Analysis and design Procedures
10)	Binary Adder, Half and Full Adders
11)	Decoder (/w enable), Encoder, Multiplexer
12)	Binary Multiplier, Magnitude Comparator
13)	Sequential Logic, Flip-Flops
14)	Final

Sources

Course Notes / Textbooks:	Morris Mano, Digital Design 5th Ed.
References:	Morris Mano, Digital Design 5th Ed.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) A solid foundation in mathematics, natural sciences, and computer engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.
2) The ability to identify, define, formulate, and solve complex computer engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3) The ability to design complex computer engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4) The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in computer engineering applications; and the ability to effectively utilize information technologies.
5) The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex computer engineering problems.
6) The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with software and mechatronics engineering).
7) The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning required by computer engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9) The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in computer engineering practices.
10) Knowledge of project management and computer engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the impacts of computer engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	A solid foundation in mathematics, natural sciences, and computer engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.	5
2)	The ability to identify, define, formulate, and solve complex computer engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3)	The ability to design complex computer engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4)	The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in computer engineering applications; and the ability to effectively utilize information technologies.
5)	The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex computer engineering problems.	3
6)	The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with software and mechatronics engineering).
7)	The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning required by computer engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9)	The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in computer engineering practices.
10)	Knowledge of project management and computer engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge of the impacts of computer engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Learning Activity and Teaching Methods

Assessment & Grading Methods and Criteria

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	3	% 20
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	6	84
Laboratory	6	5	30
Midterms	1	10	10
Final	1	15	15
Total Workload			139