COURSE UNIT TITLE

: CLOUD COMPUTING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
YBS 2018 CLOUD COMPUTING ELECTIVE 3 0 0 4

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR KUTAN KORUYAN

Offered to

Management Information Systems

Course Objective

The course aims to introduce students current applications about cloud computing, software design and development with using cloud computing models, techniques and architectures.

Learning Outcomes of the Course Unit

1   1 Knowing the basic concepts of cloud computing.
2   2 Developing basic applications.
3   3 Informing about virtualization, service oriented architecture and web services
4   4 Knowing the concepts of distributed storage and security.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1 Introduction to cloud computing
2 2 Basic concepts of cloud computing
3 3 Cloud computing market
4 4 Advantages and disadvantages of cloud computing
5 5 General features of cloud computing
6 6 Cloud computing service models
7 7 Cloud computing deployment models
8 8 Cloud computing service providers I
9 9 Cloud computing service providers II
10 10 Cloud computing service providers III
11 11 Virtualization
12 12 Management of cloud services and security
13 13 Cloud computing and legal issues I
14 14 Cloud computing and legal issues II

Recomended or Required Reading

Main Textbook: Campbell, J. B. (2002). Introduction to Remote Sensing (Third Edition). New York: Taylor & Francis.

Help book: Russ, J.C. (2011). The Image Processing Handbook (Sixth Edition). USA: Taylor & Francis.
Aranoff, S. (2005). Remote Sensing for GIS Managers. California: ESRI Press.
Girard, M. & Girard, C.M. (2003). Processing of Ramote Sensing Data. India: A.A. Balkema Publishers.

Planned Learning Activities and Teaching Methods

Activities are given in detail in the Assessment Methods and Total Workload sections.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Assessment criteria will be announced later.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department are valid.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 5 60
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 98

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15555
LO.25555
LO.35555
LO.45555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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