TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Instructor Gökhan Memiş
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn Cloud Computing architectures. 2) Learn Cloud Computing components and tools. 3) Learn SaaS, PaaS, IaaS technologies. 4) Identify examples of cloud computing technologies. 5) Learn IT Cloud Computing strategies for small, medium and large enterprises.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Cloud Computing architectures, components and tools. Software as a Service architecture, components and advantages. Software as a Service (SaaS) case study. SaaS Technologies. Platform as a Service architecture, components and advantages. Platform as a Service case study. PaaS Technologies. Infrastructure as a Service architecture, components and advantages. Infrastructure as a Service case study. IaaS Technologies. Developing IT Cloud Computing strategies for small, medium and large enterprises. High Performance Computing Technologies. Throughput computing Technologies. Cluster computing Technologies. Map Reduce Framework case study with Hadoop. Hadoop use cases. Open Source Software technologies for Cloud Computing. Workload characterization techniques. Performance optimization. Cloud Computing research topics.
COURSE CONTENTS	WEEK TOPICS 1st Week Cloud Computing architectures, components and tools. 2nd Week Software as a Service architecture, components and advantages. 3rd Week Software as a Service (SaaS) case study. SaaS Technologies. 4th Week Platform as a Service architecture, components and advantages. 5th Week Platform as a Service case study. 6th Week PaaS Technologies. Infrastructure as a Service architecture, components and advantages. 7th Week Infrastructure as a Service case study. 8th Week Mid-term 9th Week IaaS Technologies. 10th Week Developing IT Cloud Computing strategies for small, medium and large enterprises. 11th Week High Performance Computing Technologies. Throughput computing Technologies. 12th Week Cluster computing Technologies. Map Reduce Framework case study with Hadoop. Hadoop use cases. 13th Week Open Source Software technologies for Cloud Computing. Workload characterization techniques. 14th Week Performance optimization. Cloud Computing research topics.
RECOMENDED OR REQUIRED READING	1. Velte T., Velte A.,Elsenpeter R., Cloud Computing, A Practical Approach,McGraw-Hill, 2010. 2. Hudzia B., Cloud Computing: Principles and Paradigms, Wiley, 2011
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Quiz 5 30 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1,5 1,5 Preparation for Quiz Individual or group work Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 15 15 Laboratory (including preparation) Final exam 1 1,5 1,5 Homework Project 1 70 70 Quiz 4 ,5 2 Total Workload 152 Total Workload / 30 5,06 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No