CE 403 | Course Introduction and Application Information

Course Name
Computer Architecture and Organization
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 403
Fall/Spring
2
2
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives The objective of the course is to help students to develop a familiarity with overall operation of a computer. Terms and their underlying concepts such as processors, primary memory, secondary memory, input/output, microarchitecture, instruction sets, addressing, flow of control, operating systems, assembly language and parallel architectures will be introduced in the course and these concepts will be strengthened by homework assignments
Course Description The students who succeeded in this course;
  • will be able to explain how a user program is executed on the multilevel structure of a computer,
  • will be able to discuss the relationship between hardware and software components of a computer,
  • will be able to present hardware and software alternatives in implementing a functionality of a computer,
  • will be able to explain how a computer instruction is transformed into a set of hardware signals,
  • will be able to discuss the effects of different hardware component alternatives on execution speed of a computer.
Course Content Computer Hardware Components, Microprogramming, Instruction Sets, Assembly Language Instructions, Parallel architectures

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Tanenbaum Chapter 1
2 Processors and Primary Memory Tanenbaum Sections 2.1, 2.2
3 Secondary Memory and Inputoutput Tanenbaum Sections 2.3, 2.4
4 / CPU Chips and Buses Tanenbaum Sections 3.4, 3.5, 3.6, 3.7
5 The Microarchitecture Level : Examples and Implementation Tanenbaum Sections 4.1, 4.2, 4.3
6 The Microarchitecture Level : Design and Performance Tanenbaum Sections 4.4, 4.5, 4.6, 4.7
7 Review of the Semester  
8 Midterm
9 The Instruction Set Architecture Level: Overview, Data Types and Formats Tanenbaum Sections 5.1, 5.2, 5.3
10 The Instruction Set Architecture Level: Addressing and Instruction Types Tanenbaum Sections 5.4, 5.5
11 The Instruction Set Architecture Level: Flow of Control and Examples Tanenbaum Sections 5.6, 5.7, 5.8
12 The Assembly Language Level: Instruction Format and Macros Tanenbaum Sections 7.1, 7.2
13 The Assembly Language Level: Assembly Process, Linking and Loading Tanenbaum Sections 7.3, 7.4
14 Parallel Computer Architectures Tanenbaum Chapter 8
15 Review of the Semester  
16 Review of the Semester  

 

Course Notes/Textbooks Structured Computer Organization, A.S. Tanenbaum, 5th ed. 2006, PrenticeHall ISBN 0131485210
Suggested Readings/Materials Computer Architecture: A Quantitative Approach, Third Edition, John L. Hennessy David A. Patterson David Goldberg, Morgan and Kaufmann

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
6
15
Homework / Assignments
8
15
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
25
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
Field Work
Quizzes / Studio Critiques
6
3
Homework / Assignments
8
2
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
25
Final Exam
1
27
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

X
6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

X
9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest