Course Name Code Semester T+U Hours Credit ECTS
Cloud Information BSM 459 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. CEMİL ÖZ
Course Lecturers
Course Assistants
Course Category
Course Objective This course aims to teach current applications about cloud computing. And this course provide to gain knowledge to develop a software based on cloud computing models, technics and structure.
Course Content Introduction to cloud computing, Cloud computing service models and dispatch models, Current cloud computing applications, Area of cloud computing usage, Advantage and disadvantage of cloud computing , Mobile cloud applications.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand fundamental concepts and techniques of cloud computing Lecture, Question-Answer, Testing, Homework,
2 Develop basic applications Lecture, Question-Answer, Drilland Practice, Motivations to Show, Self Study, Project Based Learning, Testing, Homework,
3 Understand virtualization, service biased architecture and web service Lecture, Question-Answer, Drilland Practice, Project Based Learning, Testing, Homework,
4 Understand distributed data storage and security concepts Lecture, Question-Answer, Project Based Learning, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to cloud computing
2 Introduction to Windows Azure
3 Developed application On Windows Azure
4 Introduction to Google Appengine
5 Developed application On Google Appengine
6 Cloud developing platforms
7 Develop a cloud: save data in the cloud
8 Security of cloud service
9 Apache Hadoop setup
10 Virtualization and cloud
11 Management of cloud service
12 Economy of cloud computing
13 Student Presentations
14 Student Presentations
Resources
Course Notes Lecture Notes
Course Resources Cloud Computing: Concepts, Technology & Architecture, Prentice Hall/PearsonPTR
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods,
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research,
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility,
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language,
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology,
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 10
1. Ödev 20
2. Ödev 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 1 1
Quiz 1 1 1
Assignment 2 5 10
Final examination 1 1 1
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5