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)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
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


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
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 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility. X
7 An ability to communicate effectively. X
8 Recognition of the need for, and an ability to engage in life-long learning. X
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge. X
14 An ability to make methodological scientific research. X
15 An ability to produce, report and present an original or known scientific body of knowledge. X
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Special Course Internship
Field Work
Study Hours Out of Class 16 5 80
Presentation/Seminar Prepration
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