BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
SEN5315 | Service Oriented Architectures | Fall Spring |
3 | 0 | 3 | 8 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. ADEM KARAHOCA |
Course Lecturer(s): |
Instructor BİLGİN EŞME |
Recommended Optional Program Components: | None |
Course Objectives: | Service Oriented Architecture (SOA) is a kind of computer philosophy that allow and guide to develop and integrate systems around system compatibilities and functionalities. Main objective of this course is to create such kind of philosophy to students. |
The students who have succeeded in this course; 1. Describe SOAP concept 2. Modify and contribute SOAP concept to design a new computer system and describe when it should be used. 3. Find new technologies like SOAP 4. Notice that there is no "away" idea with using of SOAP concept and provide existing systems more active with using SOAP technology. 5. Establish the idea that there is no system without using another one and find all problems' real reason in a system. 6. Find real and conscious solutions to the problems. 7. Adapt a new technology to the existing system. |
This course consists of introduction and information about sample organizations, presenting information about information technology that are used, presenting information about web technologies used and service oriented architecture, discussion on scenario which will be created, describe project subjects and discussion on project subjects, examination of the system to be followed step by step and project presentations. |
Week | Subject | Related Preparation |
1) | Introduction and information about sample organization | |
2) | Present information about information technology that will used. | |
3) | Present information about web technologies used and service oriented architecture | |
4) | Discussion on scenario which will be created. | |
5) | Describe project subjects and discussion on project subjects. | |
6) | Examination of the system to be followed step by step | |
7) | Examination of the system to be followed step by step | |
8) | Examination of the system to be followed step by step | |
9) | Examination of the system to be followed step by step | |
10) | Examination of the system to be followed step by step | |
11) | Project representation and evaluation | |
12) | Project representation and evaluation | |
13) | Project representation and evaluation | |
14) | Project representation and evaluation |
Course Notes / Textbooks: | Understanding IBM SOA Foundation Suite: Learning Visually with Examples By Tinny Ng, Jane Fung, Laura Chan, Vivian Mak |
References: | Dynamic SOA and BPM: Best Practices for Business Process Management and SOA Agility By Marc Fiammante |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 2 | % 10 |
Project | 1 | % 20 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Application | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 3 | 42 |
Midterms | 1 | 22 | 22 |
Final | 1 | 41 | 41 |
Total Workload | 189 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems. | |
2) | To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management. | |
3) | To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained. | |
4) | Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards. | |
5) | To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice. | |
6) | Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively. | |
7) | Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications. |