Cloud Computing (ISE514) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Cloud Computing ISE514 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Ph.D.
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
  • Describe the basic terms and concepts for cloud computing
  • Recognize the value of cloud computing for business
  • Recognize cloud architecture and services
  • Attain knowledge about management of cloud.
Course Content Basics of cloud computing, discovering the value of the cloud computing for business, advantages of cloud computing, elements of cloud computing, technical foundation of cloud computing, managing data in cloud, standards, managing and securing cloud services, virtualization, service oriented architecture, managing cloud environment.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Cloud Computing Chapter 1,2
2 Fundamentals of Cloud Computing Chapter 1,2
3 Cloud Architecture Chapter 3
4 Cloud Services and Applications Chapter 4
5 Abstraction and Virtualization Chapter 5
6 Amazon web Services Chapter 9
7 Midterm
8 Platform as a Service Chapter 7
9 Google Web Services and Microsoft Cloud Services Chapter 8,10
10 Cloud Security Chapter 12
11 Services oriented architecture and the cloud Chapter 13
12 Cloud Management Chapter 11
13 Moving applications to the Cloud Chapter 19
14 Project Presentations Chapter 14
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Cloud Computing Bible, Barrie Sosinsky, Wiley; 1 E (January 11, 2011), ISBN: 0470903562
Other Sources 2. Cloud Computing: Web-Based Applications That Change the Way You Work and Collaborate Online, Micheal Miller, QUE, 2009, ISBN:0-7897-3803-1
3. Cloud Computing, A Practical Approach, Toby Velte, Anthony Velte, Robert Elsenpeter, McGraw Hill, 2009, ISBN: 0071626948
4. Cloud Computing for Dummies, J.Hurwitz, M.Kaufman, F.Halper, R.Bloor, WILEY, 2010, ISBN: 978-0-470-48470-8

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 0
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 5 80
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 15 45
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 175