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Course Code: 
ACM 414
Course Period: 
Spring
Course Type: 
Area Elective
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
6
Course Language: 
İngilizce
Course Objectives: 
The course aims to give the students introductory information about current practices in virtualization and cloud computing. Virtualized operating systems, their installation and implementation will be explained, Computing models, techniques and architectures will be introduced. The course will provide students practical knowledge on designing and implementing virtual and cloud based software systems and major providers of such systems in the market today. Their use in enterprise level information management will be introduced.
Course Content: 

Introduction to virtual operating systems, their study, installation, advantages and problems, guest operating system installation, Introduction to cloud computing, enterprise cloud computing, cloud technologies, Virtualization technologies and multi user software, Cloud development, Data storage in clouds, software development for clouds, Software architecture, Commercial applications of cloud software, work flow and work processes, research on and solutions in commercial applications, The economics of Cloud Computing.

Course Methodology: 
1: Lecture, 2: Question-Answer, 3: Discussion 4. Lab Work
Course Evaluation Methods: 
A: Testing, B. Laboratory C: Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes

Teaching Methods

Assessment Methods

1 Understanding and installing virtual operating systems.

1,2,3,4

A,B, C

2 Understanding the principles and applications of virtualization and cloud computing in enterprise information systems.

1,2,3

A,C

3 Being able to develop simple applications. programming goals.

1,2,3,4

A,B,C

4 Understanding service oriented architecture. and web services.

1,2,3

A,C

5 Understanding distributed storage and security issues in virtualization and cloud computing.

1,2,3

A,C

 

Course Flow

Week

Topics

Study Materials

1

Review of Data Structures and Introduction to Operating Systems. Concepts and Tools:

ACM 111

2

Introduction to virtualization and Cloud Computing,

ACM 111

3

History of commercial applications of virtualization and cloud computing.

ACM 111

4

Virtualization Technologies and Multi Client Software. Reentrancy.

ACM 111

5

Installation of a virtual operating system.

 

6

Application Development in the cloud.

ACM 222

7

MIDTERM EXAMINATION.

 

8

Data Storage In the Cloud

ACM 221

9

Application Development Platforms.

 

10

Software Architecture

ACM 111

11

Commercial and Enterprise Application Software

ACM 111

12

Work flow and Work Processes

ACM 111

13

Networking and internet applications

ACM 111

14

Economics of Virtualization and Cloud Computing

 

15

REVIEW AND MIDTERM EXAMINATION

 

 
 

Recommended Sources

Textbook

Enterprise Cloud Computing, by Gautam Shroff, Cambridge University Press, 2010

Additional Resources

Handbook of Cloud Computing, Borko Furht · Armando Escalante Editors Springer (2010); Ivanka Menken, Cloud Computing Virtualization Specialist Complete Certification Kit: Study Guide Book and Online Course  Emereo Pty Ltd; 2 edition (August 26, 2010)

 

Assessment

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-terms

1

60

Quizzes

1

20

Homework

1

20

Total

 

100

CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE

 

60

CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE

 

40

Total

 

100

 

COURSE CATEGORY

Expertise/Field Courses

 

Course’s Contribution to Program

No

Program Learning Outcomes

Contribution

1

2

3

4

5

 

1

Information Systems graduates have the knowledge and the skills to design and develop the complete systems for multi-media visual user interface.

X

 

 

 

 

 

2

Information Systems graduates have advanced the knowledge and skills to design, develop and install the application systems for multi-media.

 

X

 

 

 

 

3

Information Systems graduates have the knowledge and the skills to design, develop and apply algorithms and data structures to solve the basic problems of information processing, within the framework of discrete mathematics.

 

 

 

 

X

 

4

Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern structured development tools and install them on various hardware platforms and deploy their usage.

 

 

 

 

X

 

5

Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specificed requirements, using modern object-oriented development tools and install them on various hardware platforms and deploy their usage.

 

 

 

 

X

 

6

Information Systems graduates know the logic of computer operating systems, the basic set of system commands, how to control access to system resources by users of different departments and how to monitor the running of jobs in the system.

 

 

 

X

 

 

7

Information Systems graduates have the knowledge and the skills to design and develop data models serving different requirements, database applications that would access and process data using various types of software, including queries, reports and business applications.

 

 

X

 

 

 

8

Information Systems graduates have the knowledge and the skills to design and develop business applications that would provide data acess, modification and processing for data kept in enterprise database systems.

 

 

X

 

 

 

9

Information Systems graduates have the knowledge about computer networks, and have  the skills to design,  develop and monitor  computer networks, how to configure them  and how to maintain their performance.

x

 

 

 

 

 

10

Information Systems graduates have the knowledge and the skills to design and develop visual user interfaces for the web, web-based applications for n-tier client/server configurations, how to deploy them in enterprises.

x

 

 

 

 

 

 

ECTS

Activities

Quantity

Duration
(Hour)

Total
Workload
(Hour)

Course Duration (Including the exam week: 16x Total course hours)

16

4

64

Hours for off-the-classroom study (Pre-study, practice)

16

3

48

Mid-terms

2

5

10

Quiz

4

1

4

Homework

10

3

30

Final examination

2

2 (Includes Reparation)

4

Total Work Load

 

 

156

Total Work Load / 25 (h)

 

 

6.24

ECTS Credit of the Course

 

 

6

 
None