ECTS - Advanced Computer Architecture
Advanced Computer Architecture (CMPE532) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Computer Architecture | CMPE532 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Computer Engineering Elective Courses |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | The objective of this course is to introduce the advanced concepts of computer architecture. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Quantitative principles of computer design, instruction set principles and examples, advanced pipelining and instruction-level parallelism, memory-hierarchy design, storage systems, thread level parallelism. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction and overview | Chapter 1 & 2 (Course Book) |
| 2 | Cost and Performance of Computers | Chapter 1 & 2 (Course Book) |
| 3 | Performance Summary and Benchmarks | Chapter 3 (Course Book) and Source #1 |
| 4 | Instruction Set Architecture | Chapter 3 (Course Book) and Source #1 |
| 5 | Introduction to Pipelining | Chapter 3 (Course Book) and Source #1 |
| 6 | Pipeline Hazards | Chapter 4 (Course Book) and Source #2 |
| 7 | Control Hazards and Exception Handling | Chapter 4 (Course Book) and Source #2 |
| 8 | Pipeline Implementation Challenges | Chapter 5 (Course Book) and Source #3 |
| 9 | Instruction Level Parallelism | Chapter 5 (Course Book) and Source #3 |
| 10 | Dynamic Pipeline Scheduling | Chapter 5 (Course Book) |
| 11 | Tomasulo’s Dynamic Instruction Scheduling Algorithm | Chapter 5 (Course Book) |
| 12 | ILP with Multiple Instruction Issue | Chapter 6 (Course Book) |
| 13 | Memory Hierarchy and Basics of Cache | Chapter 6 (Course Book) |
| 14 | Optimizing Cache Performance | Chapter 6 (Course Book) |
| 15 | Review | |
| 16 | Review |
Sources
| Course Book | 1. Computer Architecture: A Quantitative Approach, 5th Edition John L. Hennessy and David A. Patterson Morgan Kaufmann Publishers, ISBN 978-0-12-383872-8 |
|---|---|
| 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 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 1 | 20 |
| Presentation | 1 | 20 |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 20 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 4 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | To become familiar with the state-of-the art and the literature in the software engineering research domain | X | ||||
| 2 | An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area | |||||
| 3 | Be able to conduct quantitative and qualitative studies in software engineering | |||||
| 4 | Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems | X | ||||
| 5 | 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. | |||||
| 6 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
| 7 | 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. | |||||
| 8 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | |||||
| 9 | 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 | 1 | 5 | 5 |
| Project | |||
| Report | |||
| Homework Assignments | 1 | 5 | 5 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 126 | ||