Hacettepe University

Faculty of Engineering

Department of Electrical and Electronics Engineering

ACADEMICS

Course Details

ELE743 - Advanced Computer Architecture

ELE743 - Advanced Computer Architecture

Program	Theoretıcal hours	Practical hours	Local credit	ECTS credit
PhD	3	0	3	10

Obligation	:	Elective
Prerequisite courses	:	-
Concurrent courses	:	-
Delivery modes	:	Face-to-Face
Learning and teaching strategies	:	Lecture, Question and Answer, Problem Solving
Course objective	:	In this course, it is aimed to teach topics on advanced computer architecture which reflect the latest trends in this fields
Learning outcomes	:	A student completing the course successfully will learn most of the latest trends in advanced computer architecture Apply the techniques s/he learnt in the class to her/his thesis studies and also real-life applications, Have the adequate knowledge to follow and understand advanced up-to-date computer architecture concepts.
Course content	:	Introduction 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
References	:	Patterson, Computer Organization and Design the Hardware Software Interface, 3rd edition, Elsevier.; Johnson M, Superscalar Microprocessor Design, Prentice Hall.

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

Assessment Methods
Course activities	Number	Percentage
Attendance	0	0
Laboratory	0	0
Application	0	0
Field activities	0	0
Specific practical training	0	0
Assignments	14	30
Presentation	0	0
Project	0	0
Seminar	0	0
Quiz	0	0
Midterms	1	30
Final exam	1	40
Total		100
Percentage of semester activities contributing grade success		60
Percentage of final exam contributing grade success		40
Total		100

Workload and ECTS Calculation
Course activities	Number	Duration (hours)	Total workload
Course Duration	14	3	42
Laboratory	0	0	0
Application	0	0	0
Specific practical training	0	0	0
Field activities	0	0	0
Study Hours Out of Class (Preliminary work, reinforcement, etc.)	14	10	140
Presentation / Seminar Preparation	0	0	0
Project	0	0	0
Homework assignment	14	3	42
Quiz	0	0	0
Midterms (Study duration)	1	38	38
Final Exam (Study duration)	1	38	38
Total workload	44	92	300

Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes		Contribution level
Key learning outcomes		1	2	3	4	5
1.	Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.
2.	Has knowledge, skills and and competence to develop novel approaches in science and technology.
3.	Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.
4.	Can independently carry out all stages of a novel research project.
5.	Designs, plans and manages novel research projects; can lead multidisiplinary projects.
6.	Contributes to the science and technology literature.
7.	Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.
8.	Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.

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