MATHEMATICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
CMP2008	Computer Organization	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi GÖRKEM KAR
Course Lecturer(s):	Dr. Öğr. Üyesi TARKAN AYDIN Prof. Dr. TAŞKIN KOÇAK
Recommended Optional Program Components:	None
Course Objectives:	This course provides a comprehensive presentation of the organization and architecture of modern-day computers, emphasizing both fundamental principles and the critical role of performance in driving computer design. The topics include number system, computer arithmetic, computer evolution and performance, memory, storage, input/output, details of a processor, multi-cores, multiprocessors and clusters.

Learning Outcomes

The students who have succeeded in this course;
I. Be able to use computer arithmetic
II. Become familiar with the components inside a computer system.
III. Be able to design instruction set and processor design
IV. Be able to develop the memory hierarchy, including cache design, main memory and virtual memory.
V. Be able to develop a high degree of familiarity with I/O and storage systems
VI. Be able to use the multi-core processor systems

Course Content

Instructions, instruction set architectures
Arithmetic for computers
The processor
Pipeline architectures
Memory hierarchy
Cache architectures
Virtual memory
Storage systems
I/O system design
Multi-cores and multiprocessors
Clusters

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction. Computer abstracts and technology
2)	Instructions, instruction set architectures
3)	Arithmetic for computers
4)	The processor
5)	Pipeline architectures
6)	Memory hierarchy
7)	Cache architectures
8)	Midterm Exam
9)	Virtual memory
10)	Storage systems
11)	I/O system design
12)	Multi-cores and multiprocessors
13)	General purpose GPU computing
14)	Cluster

Sources

Course Notes / Textbooks:	David Patterson and John Hennessy, Computer Organization and Design, 5th Ed., Morgan Kaufmann, 2009.
References:	John P. Shen and Mikko H. Lipasti, Modern Processor Design: Fundamentals of Superscalar Processors, 1st Ed., Waveland Press, 2013.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 10
Homework Assignments	2	% 10
Midterms	1	% 40
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	6	84
Homework Assignments	2	2	4
Quizzes	2	1	2
Midterms	1	2	2
Final	1	2	2
Total Workload			136

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.