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

Course Introduction and Application Information

Course Code:

COE302

Course Name:

Computer Architecture

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

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:

Dr. Öğr. Üy. HÜSAMETTİM OSMANOĞLU

Course Lecturer(s):

Assist. Prof. Dr. Hüsamettin OSMANOĞLU

Course Assistants:

Course Objective and Content

Course Objectives:	This course covers computer architecture and techniques for improving performance, including pipelining, instruction-level parallelism, memory hierarchy design, and multithreading. It emphasizes hardware-software interaction and includes compiler and operating system-related topics.
Course Content:	CPU and Instruction set architectures. Memory Hierarchy and Model, including registers, cache memory, main memory (RAM) and Hard Disk. Arithmetic and Logic including Digital logic, digital systems, digital design, Number Systems and Computer Arithmetic. Instruction Sets and Assembly Language such as MIPS Characteristics and Functions, Addressing Modes and Formats. RISC and CISC architecture.

Learning Outcomes

The students who have succeeded in this course;
1) Understand the basics of computers and how they are organized in terms of hardware and software: the importance of the hardware-software interface.
2) Understand various key components of a computer–such as memory, interfaces, processor, I/O, cache memory, ALU, RISC and CISC machine, interrupts, pipelining, instruction-level parallelism, and memory hierarchy design.
3) Develop proficiency in different types of instruction set architectures, specifically focusing on the MIPS instruction set and MIPS assembly language, and acquire the ability to compare and contrast various instruction set architectures for specific functions.
4) Acquire the skills to design a datapath and control unit for a pipelined processor through single-cycle implementation techniques and demonstrate the capability to design and implement a simple processor using fundamental elements such as combinational logic, memory components, and other essential units.

Course Flow Plan

Week	Subject	Related Preparation
1)	Basic Concepts and Computer Evolution
2)	Performance Concepts
3)	A Top-Level View of Computer Function and Interconnection
4)	Main Memory
5)	Cache Memory
6)	Input/output and Interrupts
7)	Operating System Support
8)	Midterm
9)	Computer Arithmetic
10)	Instruction Sets: Characteristics and Functions
11)	Addressing Modes and Formats
12)	Introduction to MIPS instruction ser
13)	Reduced Instruction Set Computers
14)	Processor Pipeline, Structure and Function

Sources

Course Notes / Textbooks:

William Stallings - Computer Organization and Architecture, Global Edition (2021, Pearson)

References:

[1] David A. Patterson, John L. Hennessy - Computer Organization and Design: The Hardware_Software Interface 5th Edition
[2] M. Morris Mano. Digital Logic and Computer Design.-Pearson (2017)
[3] Morgan Kaufmann Publishers._Harris, David Money_Harris, Sarah L - Digital design and computer architecture-Elsevier_Morgan Kaufmann Publishers (2018)
[4] http://williamstallings.com/ComputerOrganization/COA11e/

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.	2	2
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.	2	2	2
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.		3	3	3
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.		2	3	2
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.	2
2)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.	3
3)	Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.	2
4)	Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.	2
5)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	4	% 10
Homework Assignments	5	% 20
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	13	39
Study Hours Out of Class	13	39
Homework Assignments	5	10
Quizzes	4	12
Midterms	1	20
Final	1	30
Total Workload		150