CMP634 - ADVANCED COMPUTER ARCHITECTURE

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
ADVANCED COMPUTER ARCHITECTURE CMP634 Any Semester/Year 3 0 3 9
PrequisitesNone
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Preparing and/or Presenting Reports
 
Instructor (s)Assist. Prof. Kayhan Ä°mre 
Course objectiveThe objective of this course is to teach advanced concepts in computer architecture design and analysis.  
Learning outcomes
  1. 1. Students will be able to define basic concepts of computer architecture.
  2. 2. Students will be able to analyse performance of various computer architectures. 3. Students will be able to design new computer architecture.
  3. 4. Students will be able to conduct research on computer architecture.
Course ContentPreliminary definition and concepts, impact of technological changes and development on the computer architectures. Memory architectures, cache memories. Virtual memory implementation, CPU and Pipelines, RISC architectures, vector processors, multiprocessing systems. 
ReferencesComputer Architecture: A Quantitative Approach, 4th Edition, John L. Hennessy and David A. Patterson Morgan Kaufmann Publishers, ISBN 1-55860-596-7 

Course outline weekly

WeeksTopics
Week 1Fundamentals of Computer Design
Week 2Instruction-Level Parallelism
Week 3Limits on Instruction-Level Parallelism
Week 4Multiprocessors and Thread-Level Parallelism
Week 5Memory Hierarchy Design
Week 6Project I
Week 7Storage Systems
Week 8Case study
Week 9Case study (continued)
Week 10Case study (continued)
Week 11Project II
Week 12Research presentations
Week 13Research presentations
Week 14Research presentations
Week 15Research presentations
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance1410
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project225
Seminar115
Midterms00
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation13030
Project250100
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 12020
Total Workload32109276

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge.    X
2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency.    X 
3. Graduates of a computer science program need to understand how theory and practice influence each other.  X  
4. Graduates need to think at multiple levels of detail and abstraction.    X 
5. Students will be able to think critically, creatively and identify problems in their research.   X 
6. Graduates should have been involved in at least one substantial project.    X 
7. Graduates should realize that the computing field advances at a rapid pace.     X
8. Graduates should conduct research in an ethical and responsible manner.  X   
9. Graduates should have good command of technical terms in both Turkish and English. X   
10. Graduates should understand the full range of opportunities available in computing. X   
11. Graduates should understand that computing interacts with many different domains.   X  
12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems.    X 

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