ECTS - Cloud Computing and Virtualization

Cloud Computing and Virtualization (CMPE433) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Cloud Computing and Virtualization CMPE433 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide information about Cloud Computing and virtualization. The course gives fundamentals of Cloud and Virtualization from both business and technology perspective. Creating multiple instances on a single physical system, and the types of virtualization being used in cloud computing, such as OS, server, storage, network virtualization, will be examined in detail. Furthermore, business benefits, costs and security implications of Cloud Computing and virtualization will also be addressed.
Course Learning Outcomes The students who succeeded in this course;
  • Describe the concept of Cloud Computing and the supporting technologies behind.
  • Describe the benefits and costs of Cloud Computing and virtualization
  • Describe hypervisors, paravirtualization, full virtualization and hardware support for virtualization.
  • Gain knowledge and skills to create and use multiple Virtual Machine instances on Cloud and bare-metal environment.
  • Describe the security implications of Cloud Computing and virtualization.
Course Content Cloud description, types of cloud, services, deployment models, types of virtualization, hardware virtualization, hypervisors, OS virtualization, server virtualization, desktop virtualization, storage virtualization, application virtualization, benefits and costs, security issues.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Fundamentals of Cloud Computing Chapter 1 (Text book 1)
2 Building Blocks Chapter 2 (Text Book 1)
3 Service and Deployment Models Chapter 1 & 2 (Text Book 1)
4 Business Benefits Chapter 3 (Text Book 1)
5 Key enabler technology : Virtualization Chapter 1 & Chapter 2 (Text Book 2)
6 Virtual Machine and Hypervisors Part 1 & Internet Resources (Text Book 2)
7 Full-Virtualization, Para-Virtualization, Leightweight Virtualization Internet resources
8 Network Virtualization Reference Book 1, Chapter 1
9 Storage Virtualization Chapter 11 (Text Book 2)
10 Server Virtualization Chapter 9 (Text Book 2)
11 Business Benefits and Costs of Virtualization Chapter 12, 13 (Text Book 2)
12 Moving to Virtualized Data Center Chapter 16 (Text Book 2)
13 Migrating from Virtualized Data Center to Cloud Environment Chapter 5 (Text Book 1)
14 Security Implications Chapter 14 and & Internet Resources (Text Book 2)


Course Book 1. The Definitive Guide to Cloud Computing Author : Dan Sullivan
2. Practical Virtualization Solutions: Virtualization from the Trenches, Kenneth Hess & Amy Newman, ISBN-10: 0137142978 ISBN-13: 9780137142972
Other Sources 3. SDN and NFV Simplified Jim Doherty

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 40
Toplam 4 100
Percentage of Semester Work 60
Percentage of Final Work 40
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 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. X
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; X
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; X
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems. X
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 125