Description of Individual Course Units
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Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
ASSOCIATE PROFESSOR SEMIH UTKU |
Offered to |
Computer Engineering (Non-Thesis-Evening) (English) |
Course Objective |
Mobile Cloud Computing(MCC) is the combination of cloud computing, mobile computing and wireless networks. The ultimate goal of MCC is to enable execution of rich mobile applications on a mobile devices, with a rich user experience. The focus of this course is on Mobile and Cloud Computing Applications and their use in the enterprise. It will provide the knowledge and skills required to use, design, and implement such applications and recognise their utility to an organisation. The course discusses the key cloud concepts of: (i) Infrastructure as a Service (IaaS), (ii) Platform as Service (PaaS), and (iii) Software Application as Service (SaaS), (iv) Security of Cloud Computing as well as new and contemporary trends in mobile cloud computing. Throughout the course, students learn how to build highly responsive, secure and engaging mobile applications that take full advantage of these services on the different mobile platforms. |
Learning Outcomes of the Course Unit |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
Textbook: |
Planned Learning Activities and Teaching Methods |
Lectures |
Assessment Methods |
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*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
Further Notes About Assessment Methods |
In-semester studies will be evaluated with a midterm exam and project / homework activities. There will four homework assignments. Each one will make up a various percentage of the weight of the total homework assignments.The final exam will cover all course topics. |
Assessment Criteria |
To be announced. |
Language of Instruction |
English |
Course Policies and Rules |
1. Already have programming experience in any language or Java development experience is preferable. Students planning to enroll in this course should be familiar XML, and Unix. Additionally, prior to the course, it would be helpful if you could become familiar with features in HTML5, CSS3 and the Eclipse IDE. |
Contact Details for the Lecturer(s) |
Ders Öğretim Üyesi Iletişim Bilgileri: |
Office Hours |
Tuesday 10:00 - 12:00 |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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