Software Engineering Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

YAZ212

Course Name:

Computing Systems

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

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:

Doç. Dr. ALİ GHAFFARİ

Course Lecturer(s):

Dr. Öğr. Üyesi Ali HAMİTOĞLU

Course Assistants:

Course Objective and Content

Course Objectives:

Analyze and explain the intricate workings of computing systems, including the interactions between hardware and software components.
Understand the components and architecture of computer systems, ranging from basic building blocks like processors, memory, and storage devices, to complex topics such as input/output systems, networks, and operating systems.
Utilize critical thinking skills to analyze and solve problems related to computing systems, considering factors such as performance, efficiency, and compatibility.
Design and optimize computing systems based on specific requirements and performance goals.
Apply the basics of logic design and integrated circuits to understand the underlying mechanisms of computer systems.

Course Content:

This course provides a comprehensive exploration of the fundamental principles and concepts underlying modern computer systems. This course delves into the intricate workings of computing systems, including hard+A2ware, software, and their interactions. Students will gain a deep understanding of the components and architecture of computer systems, starting from the basic building blocks such as processors, memory, and storage devices, and extending to complex topics such as input/output systems, networks, and operating systems.

Learning Outcomes

The students who have succeeded in this course;
1) Assess the cache performance of a system given its memory/cache specifications and a specific address trace.
2) Identify various software vulnerabilities and how they may be exploited.
3) Manually simulate address translation as a means of understanding hardware and software components that do likewise.
4) Experiment to determine efficient storage (specifically heap memory) allocation strategies.
5) Organize code and use compiler settings to achieve enhanced performance on specific processor architectures.

Course Flow Plan

Week	Subject	Related Preparation
1)	Tour of systems
2)	Data representation
3)	Machine language
4)	Processor architecture
5)	Code optimization
6)	Memory hierarchy
7)	Linking
8)	Midterm
9)	Exceptional control flow
10)	Virtual memory
11)	System-level I/O
12)	Network programming
13)	Concurrent programming
14)	Final exam

Sources

Course Notes / Textbooks:	Randal E. Bryant and David R. O'Hallaron, Computer Systems: A Programmer's Perspective, Third Edition, Pearson, 2016
References:	Brian W. Kernighan and Dennis M. Ritchie, The C Programming Language, Second Edition, Prentice Hall, 1988

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering 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; the 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 software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software 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 software engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex software engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design, implement, verify, validate, measure and maintain a complex software system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in software engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or software engineering 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; the 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 software engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in software engineering; awareness of the legal consequences of software engineering solutions.

Assessment & Grading

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