ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, NON-THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BDA5012 Big Data in Cloud Computing Fall 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi SERKAN AYVAZ
Course Objectives: The objective of this course is to introduce students with essential concepts of Cloud Computing and how to use them in Big Data.

Learning Outputs

The students who have succeeded in this course;
1) Understand Current Cloud Computing Technologies such as Virtual Machines, SAAS, IAAS, Cloud Based Networks, Cloud Based Databases
2) Understand and articulate how to use and develop products on Cloud Computing Systems
3) Develop skills to analyse problems to create solutions using Cloud Computing and integrate this solution to Big Data Systems.

Course Content

The course will cover topics in architectures, features, and benefits of Cloud Computing; Cloud Computing technologies such as Virtual Machines, SAAS, IAAS, Cloud Based Networks, Cloud Based Databases.
Describe Cloud Computing solutions, and identify parameters for managing and monitoring big data infrastructure.
Scenarios using sample data will be conducted, to develop skills using Cloud Computing Infrastructure.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Course structure, resources, Cloud Computing concepts and scenarios
2) Virtual Machines and Understanding with the Code library, SDKs, and IDE toolkits
3) Service object models and baseline concepts for working with storage systems and Databases
4) Service object models for Notification and Queue Services
5) Understanding Security and Applying security features
6) Application Development and Deployment Best Practices
7) Distributed Environments
8) Event Driven Scaling
9) Orchestrating Batch Processing
10) Large Scale Design Patterns
11) Case Study 1
12) Case Study 2
13) Projects presentations
14) Project presentations

Sources

Course Notes: Ders Notları, Referans Kaynaklar, Referans Kitaplar
References: Cloud Computing: Concepts, Technology & Architecture,Thomas Erl,Prentice Hall Cloud Computing: Theory and Practice,Dan C. Marinescu, The Great Cloud Migration: Your Roadmap to Cloud Computing, Big Data and Linked Data ,Michael C. Daconta

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 20
Seminar % 0
Midterms 1 % 30
Preliminary Jury % 0
Final 1 % 50
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 30
PERCENTAGE OF FINAL WORK % 70
Total % 100

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background and an ability to apply knowledge of mathematics, science, and engineering to identify, formulate, and solve problems of electrical and electronics engineering.
2) Be able to define, formulate and solve sophisticated engineering problems by choosing and applying appropriate analysis and modeling techniques and using technical symbols and drawings of electrical and electronics engineering for design, application and communication effectively.
3) Have an ability to design or implement an existing design of a system, component, or process to meet desired needs within realistic constraints (realistic constraints may include economic, environmental, social, political, health and safety, manufacturability, and sustainability issues depending on the nature of the specific design).
4) Elektrik ve elektronik mühendisliği yapabilmek ve yeni uygulamalara uyum gösterebilmek için gerekli yenilikçi ve güncel teknikler, beceriler, bilgi teknolojileri ve modern mühendislik araçlarını geliştirmek, seçmek, uyarlamak ve kullanmak.
5) Be able to design and conduct experiments, as well as to collect, analyze, and interpret relevant data, and use this information to improve designs.
6) Be able to function individually as well as to collaborate with others in multidisciplinary teams.
7) Be able to communicate effectively in English and Turkish (if he/she is a Turkish citizen).
8) Be able to recognize the need for, and to engage in life-long learning as well as a capacity to adapt to changes in the technological environment.
9) Have a consciousness of professional and ethical responsibilities as well as workers’ health, environment and work safety.
10) Have the knowledge of business practices such as project, risk, management and an awareness of entrepreneurship, innovativeness, and sustainable development.
11) Have the broad knowledge necessary to understand the impact of electrical and electronics engineering solutions in a global, economic, environmental, legal, and societal context.