COURSE INFORMATION Course Title: COMPUTER ARCHITECTURE

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 883	C	99	-	-	-	3	7.5

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	The objective of this course is to provide students with an understanding of parallel computer architectures. Students will read research papers, lead in-class discussions of papers, perform a research project, and present their research projects both in written and oral formats. The course focuses on both the design and evaluation of multiprocessor systems. The main design themes of this course are: parallel programming, system organizations, shared memory multiprocessors, memory consistency models, interconnection networks, high availability systems, interactions with current microprocessor and I/O technology, novel architectures, and emerging technologies. The evaluation portion of this course will focus on metrics, modeling, simulation, and workloads for benchmarking.

COURSE OUTLINE

Week	Topics
1	Introduction
2	Parallel Programming
3	Parallel Programming
4	Parallel Programming
5	Shared Memory and Cache Coherence
6	Snooping
7	Snooping
8	Snooping
9	Directories
10	Advanced topics: Token Coherence, COMA, etc.
11	Memory Consistency and Synchronization
12	Optimizations
13	Interconnection Networks
14	Evaluation, Availability .

Prerequisite(s):	Computer Architecture
Textbook:	This course has an OPTIONAL textbook for background material and for reference, but it is NOT required. The emphasis of the class will be discussions of research papers.
Other References:	Parallel Computer Architecture. David Culler and J.P. Singh
Laboratory Work:
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	By the end of the module, a student should be able to: Discuss the modern computer-based systems.
2	Write and discuss the papers in this area.

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Doctorate (PhD) in Computer Engineering Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	5
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	4
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	4
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	5
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Presentation	4	5
Project	1	60
Term Paper	1	20
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	12	6	72
Mid-terms			0
Assignments			0
Final examination	1	27.5	27.5
Other	1	40	40
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5