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) |
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EE203 |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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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;
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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 |
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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 |
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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 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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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 |
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 |