FACULTY OF ENGINEERING

Department of Industrial Engineering

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
  EEE 242 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Application: Experiment / Laboratory / Workshop
Lecture / Presentation
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.
Learning Outcomes 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 express how a computer instruction is transformed into a set of hardware signals,
  • will be able to assess the effects of different hardware component alternatives on execution speed of a computer.
Course Description 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 Stallings Chapter 1
2 Performance Problems Stallings Chapter 2
3 Computer Components Stallings Chapter 3
4 Memory Organization Stallings Chapter 4,5
5 Memory Organization Stallings Chapter 5,6
6 Input/Output Organization Stallings Chapter 7
7 Operating System Support Stallings Chapter 8
8 Midterm
9 Arithmetic/Logic Units Stallings Chapter 9,10
10 Arithmetic/Logic Units Stallings Chapter 10,11
11 The Instruction Set Stallings Chapter 12
12 The Instruction Set Stallings Chapter 13
13 Central Processing Unit Stallings Chapter 14
14 Parallel Computer Architectures Stallings Chapter 15,16
15 Review of the Semester
16 Final Exam

 

Course Notes/Textbooks

Computer Organization and Architecture: Designing for Performance, 10th edition, William Stallings, Pearson Education, 2016, ISBN 978-0-13-410161-3.

Suggested Readings/Materials

Computer Architecture: A Quantitative Approach, Third Edition, John L. Hennessy David A. Patterson David Goldberg, Morgan and Kaufmann, 978-1558605961.

Structured Computer Organization, A.S. Tanenbaum, 5th ed. 2006, Prentice Hall, ISBN 0131485210.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
-
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
1
10
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
6
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
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
32
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
4
2
8
Portfolio
0
Homework / Assignments
2
10
20
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
15
15
Final Exam
1
15
15
    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 and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

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 present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

X
10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign 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 Industrial Engineering.

X

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

 


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