Course Name Code Semester T+U Hours Credit ECTS
Logical Design and Computer Architecture SWE 206 4 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi GÖZDE YOLCU ÖZTEL
Course Lecturers Dr.Öğr.Üyesi GÖZDE YOLCU ÖZTEL,
Course Assistants
Course Category Teaching Suitable For Field
Course Objective

Teaching boolean algebra, logic gates, and number systems, computer systems and technologies, performance of computer systems, instruction set architecture, program transformation and initialization processes, arithmetic for computers.

Course Content

Computer systems and technologies, performance of computer systems, boolean algebra, logic gates, number systems, instruction set architecture, program transformation and initialization processes

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learning boolean mathematics, simplifies logic expressions. Lecture, Drilland Practice, Testing,
2 Learning computer systems and technologies Discussion, Lecture, Testing,
3 Learning to measure and evaluate the performance of computer systems Discussion, Problem Solving, Self Study, Lecture, Testing,
4 Learn instruction set architecture, program transformation and initialization processes Discussion, Lecture, Testing,
Week Course Topics Preliminary Preparation
1 Introduction
2 Performance
3 Boolean algebra
4 Introduction to MIPS instruction set architecture
5 Number representation
6 Instructions: Instruction set structure
7 Instructions:Logical operations
8 Instructions:Control,transfer and comprasion operations
9 Instructions:Functions
10 Instructions:Text representation
11 Program translation and start
12 aritmetic operations
13 Flooting point numbers
14 Project work
Course Notes
Course Resources

1. Computer Organization and Design, The Hardware and Software Interface, D.A.Patterson, Morgan Kaufmann.

2. Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.

3. Computer Architecture, Single and Parallel Systems, M. Zargham, Prentice Hall.

4. Computer System Architecture, M.Mano, Prentice Hall.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods. X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies. X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language.
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology.
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society.
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
1. Proje / Tasarım 15
2. Proje / Tasarım 15
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Quiz 2 1 2
Project / Design 1 10 10
Final examination 1 20 20
Total Workload 122
Total Workload / 25 (Hours) 4.88
dersAKTSKredisi 5