GRADUATE SCHOOL

M.SC. in Computer Engineering (With Thesis)

CE 602 | Course Introduction and Application Information

Course Name
Advanced Computer Architecture
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 602
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of the course is to introduce the principles that are shaping computing, and also to teach the organizational paradigms that determine the capabilities, performance, and, ultimately, the success of computer systems.
Learning Outcomes The students who succeeded in this course;
  • will be able to interpret the relationship between hardware and software.
  • will be able to interpret the concepts that are the basis for current computers.
  • will be able to interpret how to design a computer.
  • will be able to interpret how a computer system works.
  • will be able to interpret instruction level parallelism for their own written programs.
  • will be able to interpret scheduling.
Course Description Topics covered in class include relationship between hardware and software, concepts of the current machines, and computer design concepts.

 



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 Instructions: Language of the Computer Chapter 2 Computer Organization and Design
2 Instructions: Language of the Computer Chapter 2 Computer Organization and Design
3 Arithmetic for Computers Chapter 3- Computer Organization and Design
4 Arithmetic for Computers Chapter 3- Computer Organization and Design
5 Assessing and Understanding Performance Chapter 4- Computer Organization and Design
6 Assessing and Understanding Performance Chapter 4- Computer Organization and Design
7 The Processor: Datapath and Control Chapter 5- Computer Organization and Design
8 The Processor: Datapath and Control Chapter 5- Computer Organization and Design
9 Midterm I
10 Enhancing Performance with PipeLining Chapter 6- Computer Organization and Design
11 Enhancing Performance with PipeLining Chapter 6- Computer Organization and Design
12 Large and Fast: Exploiting Memory Hierarchy Chapter 7- Computer Organization and Design
13 Large and Fast: Exploiting Memory Hierarchy Chapter 7- Computer Organization and Design
14 Midterm II
15 Storage, Networks, and Other Peripherals Chapter 8- Computer Organization and Design
16 Storage, Networks, and Other Peripherals Chapter 8- Computer Organization and Design

 

Course Notes/Textbooks Patterson, D. A., Hennessy, J. L., Computer Organization and Design, The Hardware/Software Interface, 3rd edition, The Morgan Kaufmann Series, 2005
Suggested Readings/Materials Mano, M., Kime, C.R., Logic and Computer Design Fundamentals, Prentice Hall, 2001

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
2
60
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
9
144
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
2
8
16
Final Exam
1
17
17
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information.
2 Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines.
4 Is informed about new and upcoming applications in the field and learns them whenever necessary.
5 Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs
7 Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process.
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.
9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
11 Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.

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

 


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