Course Name Code Semester T+U Hours Credit ECTS
Computer Architectures BSM 420 8 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. AHMET ZENGİN
Course Lecturers Prof.Dr. AHMET ZENGİN,
Course Assistants
Course Category
Course Objective Aim of this course is to teach design and working principals of hardware components of a computer system. CPU, main memory, cache memory, data storage devices are covered in the course. Alternative design arcitectures of these components that make up a computer are shown with performance comparisons.
Course Content Fundamentals of computer architectures, memory hierarchy, Input/Output systems, central processing unit, instruction set architectures, pipeline and superscalar computer systems, parallel organization
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Knows the functional components and their interfaces of a computer system Lecture, Testing,
2 Classifies hierarchical data storage units Lecture, Testing,
3 Explains cache memory mapping models, and does memory mapping Motivations to Show, Lecture, Drilland Practice, Testing, Homework,
4 Knows virtual memory, explains/does memory address mapping Lecture, Drilland Practice, Testing, Homework,
5 Knows I/O access methods Lecture, Question-Answer, Testing,
6 Explains parallel processing solutions Lecture, Discussion, Testing,
Week Course Topics Preliminary Preparation
1 Introduction to computer architecture
2 Computer components and interconnections
3 Single cycle processor and instruction set archştecture
4 Memory hierarchy, cache concept and design
5 Cache mapping methods
6 Internal and external memory architectures
7 Virtual memory
8 Input/Output systems
9 Multicycle processor structure, RISC-CISC architectures
10 Pipeline architectures
11 Pipeline hazards, out of order execution
12 Superpipeline and suprescalar processors
13 Data storage systems
14 Parallel computer systems and cache coherency
Course Notes 1.Computer Organization and Design, The Hardware and Software Interface, D.A.Patterson, Morgan Kaufmann.<br>2. Computer Architecture a Quantitative Approach, D.A.Patterson, Morgan Kaufmann.
Course Resources 1. William Stallings,Computer Organization and Architecture, Prentice Hall, 2003
2. Linda Null, Julia Labur, The Essentials of Computer Organization and Architecture, Jones and Bartlett Publishers, 2003.
3. Andrew S. Tanenbaum, Structured Computer Organization, Prentice Hall, 1999
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, X
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, X
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, X
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, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Kısa Sınav 15
1. Ödev 20
1. Ara Sınav 50
2. Kısa Sınav 15
Total 100
1. Yıl İçinin Başarıya 50
1. Final 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 3 48
Mid-terms 1 8 8
Quiz 2 4 8
Assignment 1 4 4
Performance Task (Laboratory) 1 5 5
Final examination 1 15 15
Total Workload 136
Total Workload / 25 (Hours) 5.44
dersAKTSKredisi 5