CE 407 | Course Introduction and Application Information

Course Name
Introduction to Cloud Computing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 407
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives The objective of the course is to provide the introduction to the current practices of cloud computing. Mainly focusing on cloud computing models, techniques, and architecture, this course will provide students with the knowledge and handson experience in designing and implementing cloudbased software systems. The students will be provided information on concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Identity as a Service (IdaaS) and major providers of those in the market today.
Course Description The students who succeeded in this course;
  • will be able to identify the technologies in cloud computing systems,
  • will be able to use existing web services,
  • will be able to discuss virtualization,
  • will be able to describe distributed storage,
  • will be able to develop applications using the MapReduce paradigm.
Course Content Introduction to cloud computing, cloud architecture and service models, benefits of cloud computing, distributed storage, security and cloud services and software

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction
2 Introducing Cloud Computing
3 History of Enterprise Computing Enterprise Cloud Computing Chapters 1, 2, 3
4 Cloud Technologies (Web Services, AJAX, Mashups) Enterprise Cloud Computing Chapter 7
5 Virtualization Technology and Multi Tenant Software Enterprise Cloud Computing Chapters 8, 9
6 Cloud Development: Data in the cloud Enterprise Cloud Computing Chapter 10
7 Cloud Development: MapReduce Enterprise Cloud Computing Chapter 11
8 Cloud Development: Dev 2.0 platforms Enterprise Cloud Computing Chapter 12
9 Software Architecture Enterprise Cloud Computing Chapter 13
10 Custom Enterprise Applications Enterprise Cloud Computing Chapter 14
11 Workflow and Business Processes Enterprise Cloud Computing Chapter 15
12 Enterprise Analytics and Search Enterprise Cloud Computing Chapter 16
13 Cloud Computing Economics Enterprise Cloud Computing Chapter 6
14 Project Presentations
15 Project Presentations and Review
16 Review

 

Course Notes/Textbooks Enterprise Cloud Computing, by Gautam Shroff, Cambridge University Press, 2010
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
30
Final / Oral Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
16
2
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
23
Final / Oral Exam
1
27
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems X
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose X
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose X
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9 Awareness of professional and ethical responsibility
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest