11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • be able to describe principles behind cloud-computing
  • be able to write simple applications using Google App Engine
  • be knowledgable about virtualization, service-oriented architecture and web services
  • understand distributed storage and security issues in cloud computing
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
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
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
1
30
Final 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
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterms
1
8
Final Exams
1
12
    Total
120

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute
2 Be able to design and analyze software at component, subsystem, and software architecture level
3 Be able to develop software by coding, verifying, doing unit testing and debugging
4 Be able to verify software by testing its behaviour, execution conditions, and expected results
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

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

 

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