TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) This course aims to introduce the students with concepts of planning and resource allocation, security and monitoring, availability and consistency of data center networks, pricing models and applications and platforms for cloud computing, including recent advances.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	No
COURSE DEFINITION	Introduction to Cloud Computing, Availability, consistency, mobile, video streaming, federated cloud, Security, Monitoring, Amazon Web Services, OpenStack, MapReduce, Hadoop, Scheduling, Data Center Networks, flow scheduling, cloud pricing, Security management in the cloud, Databases in the cloud: Pig, Hive, Hbase, Zookeeper, Cassandra, Scalable web front end and load balancing, Map-reduce task scheduling, Scheduling, data replication and placement, Scientific Computing in the clouds, Data Center Networks
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Cloud Computing 2nd Week Availability, consistency, mobile, video streaming, federated cloud 3rd Week Security, Monitoring 4th Week Amazon Web Services, OpenStack 5th Week MapReduce, Hadoop 6th Week Scheduling 7th Week Data Center Networks, flow scheduling, cloud pricing 8th Week Security management in the cloud 9th Week Databases in the cloud: Pig, Hive, Hbase, Zookeeper, Cassandra 10th Week Scalable web front end and load balancing 11th Week Map-reduce task scheduling 12th Week Scheduling, data replication and placement 13th Week Scientific Computing in the clouds 14th Week Data Center Networks
RECOMENDED OR REQUIRED READING	Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-Hosted Services
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Project,Questions/Answers,Lecture,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 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 2 2 Preparation for Quiz Individual or group work 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No