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 5. Semester 3 0 0 3 7
Pre-requisite Course(s)
EE203
Course Language English
Course Type Compulsory Departmental Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer.
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

Sources

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 An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
2 Develop solutions using different technologies, software architectures and life-cycle approaches.
3 An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
4 An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
5 Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
6 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
7 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
8 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
9 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
10 Promote the development, adoption and sustained use of standards of excellence for software engineering practices.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
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