Cloud Computing (ISE514) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Cloud Computing ISE514 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Information Systems Engineering Elective Courses
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
Major Area Courses X
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 To become familiar with the state-of-the art and the literature in the software engineering research domain X
2 An ability to conduct world-class research in software engineering and publish scholarly articles in top conferences and journals in the area
3 Be able to conduct quantitative and qualitative studies in software engineering X
4 Acquire skills needed to bridge software engineering academia and industry and to develop and apply scientific software engineering approaches to solve real-world problems
5 An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. X
6 An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. X
7 Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
8 An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
9 Promote the development, adoption and sustained use of standards of excellence for software engineering practices. X

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