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

Ders Genel Tanıtım Bilgileri

Course Code:

CENG317

Ders İsmi:

Computer Architecture

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Ders Koşulu:

CENG210 - Digital Circuit Design

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Compulsory

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 :

Prof. Dr. BEKİR TEVFİK AKGÜN

Course Lecturer(s):

Prof. Dr. BEKİR TEVFİK AKGÜN

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

• Understanding top-level concepts of computer architecture.
• To explain the main differences between the characteristics of RISC and CISC architectures.
• The modern design and construction of pipeline examine multiprocessor systems.
• Explain the operation of parallel hardware including cache-coherence and mutexes on shared-memory machines, and interconnect performance (bisection bandwidth, bandwidth and latency) characteristics on distributed-memory machines.
• Demonstrate an understanding of parallel hardware and general parallel program design techniques and patterns by producing efficient parallel program designs to minimize parallel program overhead.

Course Content:

Computer Organization and development. The basic structure of the computer. The character of the instruction set structure, addressing modes and formats. Central processing units and functions, computer arithmetic. Control format operation. A study with internal, external memory. Input Output units

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understanding top-level concepts of computer architecture.
2) To explain the main differences between the characteristics of RISC and CISC architectures.
3) The modern design and construction of pipeline examine multiprocessor systems.
4) Explain the operation of parallel hardware including cache-coherence and mutexes on shared-memory machines, and interconnect performance (bisection bandwidth, bandwidth and latency) characteristics on distributed-memory machines.
5) Demonstrate an understanding of parallel hardware and general parallel program design techniques and patterns by producing efficient parallel program designs to minimize parallel program overhead.
2 - Skills
Cognitive - Practical
3 - Competences
Competence to Work Independently and Take Responsibility
Field Specific Competence
Learning Competence
Communication and Social Competence

Ders Akış Planı

Week	Subject	Related Preparation
1)	• Explain the syllabus. • Introducing the Computer Organization	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
2)	• Computer Organization • Structure of computer	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
3)	• The basic structure of the computer • Main instructions	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
4)	• Instruction sets • Central processing units and • CPU functions	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
5)	• Central processing units • CPU functions	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
6)	• Midterm-I Exam	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
7)	• Number Systems • Computer Arithmetic	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
8)	• Computer arithmetic • Problem solving • Control format operation	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
9)	• Control format operation	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
10)	• Control format operation • Internal memory	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
11)	• Internal memory • External memory	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
12)	• Internal memory • External memory	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
13)	• Midterm-II Exam	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
14)	• Input units • Output units	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
15)	• Final Exam	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.

Sources

Course Notes / Textbooks:	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
References:	Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
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. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

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

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
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. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9)	Professional and ethical responsibility.
10)	Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11)	Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Anlatım
Course
Okuma
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	2	% 50
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Midterms	2	40	80
Final	1	50	50
Total Workload			175