COURSE UNIT TITLE

: CLOUD COMPUTING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 8136 CLOUD COMPUTING ELECTIVE 2 0 0 3

Offered By

Management Information Systems Non-Thesis(Distance Learning)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems Non-Thesis(Distance Learning)

Course Objective

To inform students about cloud computing and cloud service providers. Also, from the business and the technology view, to give students the ability to understand cloud computing, to decide to start using it and to able to use it.

Learning Outcomes of the Course Unit

1   To define cloud computing terms,
2   To choose which cloud computing service models for a business company,
3   To organise cloud technology for companies,
4   To develop cloud computing applications.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to cloud computing
2 Basic concepts
3 Cloud computing market
4 Cloud computing for business
5 General characteristics and service models of cloud computing
6 Cloud computing deployment models
7 Cloud computing service providers I
8 Cloud computing service providers II
9 Cloud computing service providers III
10 Virtualisation
11 Management of cloud services
12 Cloud Security
13 Cloud Computing and Legal Issues
14 Cloud Computing Application Development

Recomended or Required Reading

Textbook(s):
Sehgal, N. K., & Bhatt, P. C. P. (2018). Cloud computing: Concepts and practices (1st ed.). Springer International Publishing.

Supplementary Book(s):
Costa, R., & Hodun, D. (2021). Google cloud cookbook: Practical solutions for building and deploying cloud services. O Reilly Media.
Culkin, J., & Zazon, M. (2021). AWS cookbook: Recipes for success on AWS. O Reilly Media.
Wali, M. (2018). Learn Microsoft Azure: Build, manage, and scale cloud applications using the Azure ecosystem. Packt Publishing.

Planned Learning Activities and Teaching Methods

It's important for students to attend class and review lessons after the course.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FCG FINAL COURSE GRADE
3 FCG FINAL COURSE GRADE MTE * 0.20 + FIN* 0.80
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + RST* 0.80


Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term exam, final exam grades and class attendance are effective.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department apply.

Contact Details for the Lecturer(s)

kutan.koruyan@deu.edu.tr

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparation for final exam 1 9 9
Preparation for midterm exam 1 8 8
Preparations before/after weekly lectures 14 2 28
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 75

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.155555555555
LO.255555555555
LO.355555555555
LO.455555555555