Computer Engineering non-thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

BIL531

Course Name:

Computer System Architecture

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. BEKİR TEVFİK AKGÜN

Course Lecturer(s):

Course Assistants:

Course Objective and Content

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
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

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.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2) 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.
3) The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4) 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.)
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems
7) The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge.
8) Knowledge of the necessity of 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 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.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2)	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.
3)	The ability to identify, define, formulate and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4)	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.)
5)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results for the examination of engineering problems
7)	The ability to communicate effectively in Turkish both verbally and in writing; at least one foreign language knowledge.
8)	Knowledge of the necessity of 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 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.
11)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Learning Activity and Teaching Methods

Expression
Lesson
Reading
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
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

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Midterms	2	70	140
Final	1	100	100
Total Workload			285