ACADEMICS
Course Detail

ELE 643 Advanced Computer Architecture
2016-2017 Spring term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE643 - ADVANCED COMPUTER ARCHITECTURE

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
ADVANCED COMPUTER ARCHITECTURE ELE643 Any Semester/Year 3 0 3 8
Prerequisite(s)
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Assoc.Prof.Ali Ziya Alkar 
Course objectiveIn this course, it is aimed to teach topics on advanced computer architecture which reflect the latest trends in this fields 
Learning outcomes
  1. A student completing the course successfully will L.O.1. learn most of the latest trends in advanced computer architecture
  2. L.O.2. Apply the techniques s/he learnt in the class to her/his thesis studies and also real-life applications,
  3. L.O.3. Have the adequate knowledge to follow and understand advanced up-to-date computer architecture concepts.
Course ContentIntroduction to Computer Architecture
MIPS ISA and ALU
Understanding Performance
MIPS datapath
MIPS Architecture
Basics of Pipeline technique
Solutions to hazard problem
Reducing branch costs
Memory hierarchy
DRAM architectures
Introduction to Cache
Improving cache performance
RAID architectures
Buses and I/O interfaces
Multiprocessor Introduction
Multiple Issue Introduction
Superscalar Pipeline
 
ReferencesPatterson, Computer Organization and Design the Hardware Software Interface, 3rd edition, Elsevier.
Johnson M, Superscalar Microprocessor Design, Prentice Hall.
 

Course outline weekly

WeeksTopics
Week 1Introduction to Computer Architecture
Week 2MIPS ISA and ALU -MIPS datapath- MIPS Architecture
Week 3Understanding Performance
Week 4Basics of Pipeline technique
Week 5Solutions to hazard problem
Week 6Reducing branch costs-Memory hierarchy
Week 7DRAM architectures
Week 8Midterm
Week 9Introduction to Cache - Improving cache performance
Week 10RAID architectures
Week 11Buses and I/O interfaces
Week 12Multiprocessor Introduction
Week 13Multiple Issue Introduction
Week 14Superscalar Pipeline
Week 15Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments1430
Presentation00
Project00
Seminar00
Midterms130
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
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 Preparation000
Project000
Homework assignment14342
Midterms (Study duration)13636
Final Exam (Study duration) 13636
Total Workload4484240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.  X  
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.   X 
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.  X  
4. Designs and runs research projects, analyzes and interprets the results.  X  
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.  X  
6. Produces novel solutions for problems.  X  
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. X   
8. Follows technological developments, improves him/herself , easily adapts to new conditions.    X 
9. Is aware of ethical, social and environmental impacts of his/her work.X    
10. Can present his/her ideas and works in written and oral form effectively; uses English effectivelyX    

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

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