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 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Technical Elective Courses
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)

Sources

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 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose. X
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively. X
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually. X
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. X
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself. X
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility. X
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management. X
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering. X
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems. X
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Report
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