Syllabus | İzmir University of Economics

FACULTY OF ENGINEERING

Department of Software Engineering

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.
Learning Outcomes 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 Description 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 Cloud Computing Fundamentals & History of Enterprise Computing Cloud Computing Patterns, Chapter 2
3 Review on Web Technologies
4 Cloud Infrastructure Cloud Computing Theory and Practice, Chapter 3
5 Cloud Application Development Cloud Computing Theory and Practice, Chapter 11
6 Cloud Computing Paradigms Cloud Computing Theory and Practice, Chapter 4
7 Cloud Computing Paradigms Cloud Computing Theory and Practice, Chapter 4
8 Project Proposals
9 Cloud Resource Virtualization and Multi Tenancy Cloud Computing Theory and Practice, Chapter 5, Cloud Computing Patterns, Chapter 4.4
10 Midterm
11 Cloud Resource Management and Scheduling Cloud Computing Theory and Practice, Chapter 6
12 Checkpoint for the projects
13 Storage Systems, Cloud Security Cloud Computing Theory and Practice, Chapter 8 & 9
14 Impact of Cloud Computing Properties, Cloud Computing Economics Cloud Computing Patterns, Chapter 7
15 Project Demos & Presentations
16 Project Demos & Presentations

 

Course Notes/Textbooks

Cloud Computing, Theory and Practice by Dan C. Marinescu

Cloud Computing Patterns by Christoph Fehling, Frank Leymann, Ralph Retter, Walter Schu-peck, Peter Arbitter

Suggested Readings/Materials

Essentials of Cloud Computing by K. Chandrasekaran

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
Presentation / Jury
Project
1
40
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
0
Study Hours Out of Class
16
2
32
Field Work
0
Quizzes / Studio Critiques
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
23
23
Final Exam
1
27
27
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

X
6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

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

 


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