MMOT225 Cloud ComputingIstanbul Okan UniversityDegree Programs Mobil TeknolojileriGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mobil Teknolojileri
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

General course introduction information

Course Code: MMOT225
Course Name: Cloud Computing
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department/Faculty Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. ALPER ÇELTİKÇİ
Course Lecturer(s): Öğr.Gör. TARIK ASLAN
Course Assistants:

Course Objective and Content

Course Objectives: Learn Cloud Computing Concept.
Understanding Cloud Computing Features.
Understanding the architecture of cloud computing.
Creating Cloud Computing Usage Scenarios.
To learn cloud service models.
To know the types of cloud computing solutions.
  To know the advantages and disadvantages of cloud computing.
Understanding Security in Cloud Computing.
To learn legal problems in cloud computing.
To understand current examples of cloud computing.
Course Content: Cloud Computing Concept. Cloud Computing Features. Cloud Computing Architecture. Cloud Computing Usage Scenarios. Cloud Computing Service Models. Types of Cloud Computing Solutions. Cloud Computing Advantages and Disadvantages. Security in Cloud Computing. Legal Problems in Cloud Computing. Current Cloud Computing Examples.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Learns Cloud Computing Concept
2) Understand Cloud Computing Features
3) Learns Cloud Computing Service Models
4) Know the types of cloud computing solutions
5) Know the advantages and disadvantages of cloud computing
6) Understands Security in Cloud Computing
2 - Skills
Cognitive - Practical
1) Understands Cloud Computing Architecture
2) Creates Cloud Usage Scenarios
3) Learn legal problems in cloud computing
4) Understands current examples of cloud computing.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Course Introduction Course Notes
2) Learn Cloud Computing Concept. Course Notes
3) Understanding Cloud Computing Features. Course Notes
4) Understanding the architecture of cloud computing. Course Notes
5) Creating Cloud Computing Usage Scenarios. Course Notes
6) To learn cloud service models. Course Notes
7) To know the types of cloud computing solutions. Course Notes
8) Midterm Course Notes
9) To know the advantages and disadvantages of cloud computing. Course Notes
10) Understanding Security in Cloud Computing. Course Notes
11) To learn legal problems in cloud computing. Course Notes
12) To understand current examples of cloud computing. Course Notes
13) To understand current examples of cloud computing. Course Notes
14) Project Presentations Course Notes
15) Final Exam Course Notes

Sources

Course Notes / Textbooks: Ders Notları
References: Course Notes

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

5

6

7

8

3

4

9

10

Program Outcomes
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has basic theoretical and practical knowledge in mathematics, computation and computer science.
2) It implements the defined problems and models of computer science and / or computer science and implements basic solution proposals.
3) Uses algorithmic thinking and planning approach in their applications.
4) Develops software components whose specifications are defined.
5) Communicates spoken and written; at least one foreign language at least on the European Language Portfolio A2 General Level, monitors information in the field of computer science and computer science and communicates with colleagues.
6) The necessity of lifelong learning follows consciousness and current developments in information and communication technologies.
7) Vocational and ethical responsibility is conscious and has an awareness of professional ethics in information applications.
8) It works effectively either individually or on teams.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Problem Solving
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Individual Project

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Project 1 60 60
Midterms 1 40 40
Total Workload 145