ECTS - Computer Architecture and Organization

Computer Architecture and Organization (CMPE331) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Architecture and Organization CMPE331 3 0 0 3 7
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to teach fundamental units of computer systems including memory, CPU and I/O units
Course Learning Outcomes The students who succeeded in this course;
  • Describe structure of a computer system
  • Explain how units of a computer system work together
  • Recognize memory organization and its usage in computer systems
  • Use basics of internal data representation for data manipulation
  • Experiment with low level programming
  • Compare the performance of different computer architectures
  • Develop assembly programs to better understand internal workings of a computer system
Course Content Computer components, Von Neumann architecture, instruction execution, interrupts, bus structure and interconnection of components, memory: internal memory, cache and virtual memory, external memories. CPU: ALU, floating point arithmetic, instruction sets, addressing modes and formats; control unit: hardwired and micro-programmed control units;

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Overview of Computer System Chapter 1 (main text)
2 Representing and Manipulating Information Chapter 2
3 Machine-Level Representation of Programs Chapter 3
4 The Y86 Instruction Set Architecture Chapter 4.1
5 Overview of Logic Design and the Hardware Control Language (HCL) Chapter 4.2
6 A Sequential Implementation Chapter 4.3
7 General Principles of Pipelining. Pipelined Implementations Chapter 4.4
8 Storage Technologies. The Memory Hierarchy. Locality Chapter 6.1-2
9 Cache Memories Chapter 6.3
10 Writing Cache-Friendly Code Chapter 6.4
11 Physical and Virtual Addressing. Address Spaces. Chapter 10.1
12 VM as a Tool for Caching. VM as a Tool for Memory Management. VM as a Tool for Memory Protection. Chapter 10.2-3
13 Address Translation. Memory Mapping. Dynamic Memory Allocation. Garbage Collection. Chapter 10.4
14 System-Level I/O Chapter 11
15 Review
16 Review


Course Book 1. Randal E. Bryant and David R. O'Hallaron, Computer Systems: A Programmer's Perspective, International Edition, Pearson Higher Education, Second Edtion, 2011
Other Sources 2. William Stallings, “Computer Organization and Architecture: Designing for Performance”, 7/E, Prentice Hall, 2010, ISBN-10: 0135064171, ISBN-13: 9780135064177
3. David A. Patterson , John L. Hennessy, Computer organization and design (2nd ed.): the hardware/software interface, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1998
4. Tanenbaum, Structured Computer Organization, 5/E, Prentice Hall, 2006, ISBN-10: 0131485210, ISBN-13: 9780131485211
5. Douglas E. Comer, Essentials of Computer Architecture: International Edition, Pearson Higher Education, 2005, ISBN-10: 0131964267, ISBN-13: 9780131964266
6. Nick Carter, Schaum's Outline of Computer Architecture 1st Edition (2002), ISBN: 9780071362078

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 60
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management;
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems. X
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 25 50
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 176