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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 6014 ADVANCED RESEARCH IN CLOUD COMPUTING DESIGN AND APPLICATION ELECTIVE 3 0 0 9

Offered By

Management Information Systems

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR KUTAN KORUYAN

Offered to

Management Information Systems

Course Objective

Using Amazon Web Services to provide advanced cloud awareness models, techniques, and knowledge necessary to design and develop software used by architects.

Learning Outcomes of the Course Unit

1   Know advanced cloud computing concepts 2   Can develop advanced applications 3   Knowledge about virtualization, service oriented architecture and web services. 4   Know 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 Basic principles of cloud computing 2 Cloud management 3 Data storage 4 Virtual machines (servers) 5 Virtual machines (desktops) 6 SQL and NoSQL 7 DevOps 8 Developer tools 9 IoT 10 Cloud networking 11 Security 12 Artificial intelligence and machine learning 13 Student presentations I 14 Student presentations II

Recomended or Required Reading

To be announced.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 PRJ PROJECT 3 PRS PRESENTATION 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTE* 0.20 + PRJ* 0.20 + PRS* 0.20 + FIN* 0.40 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + PRJ * 0.20 + PRS * 0.20 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

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 13 3 39 Preparations before/after weekly lectures 13 4 52 Preparation for midterm exam 1 20 20 Preparation for final exam 1 20 20 Preparing presentations 1 40 40 Preparing report 1 45 45 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 218

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 LO.1 5 3 3 4 LO.2 5 3 3 4 LO.3 5 3 3 4 LO.4 5 3 3 4