MBA (TURKISH, NONTHESIS, DISTANCE EDUCATION) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ISL5999 | Project | Spring | 0 | 0 | 0 | 16 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | Tr |
Type of course: | Prep |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Assist. Prof. SERKAN YEŞİLYURT |
Course Lecturer(s): |
Prof. Dr. İPEK ALTINBAŞAK FARİNA Prof. Dr. FİGEN YILDIRIM Assoc. Prof. GÜLBERK GÜLTEKİN SALMAN Prof. Dr. NİYAZİ BERK Assist. Prof. ORHAN GÖKÇÖL Assoc. Prof. ÖZLEN ONURLU Assist. Prof. KAZIM SELÇUK TUZCUOĞLU Prof. Dr. FAİK TUNÇ BOZBURA Prof. Dr. FATMA ÖZKUL |
Course Objectives: | The objective of this course, is to develop academic research skills among the students. An advisory help will come from lecturers that the students select while they are preparing their statement. A final presentation will be made after the preparation of the final project. |
The students who have succeeded in this course; Students who successfully finish this course, Will have the ability to make academic research, and will be capable of developing a statement both in theory and practice. After finishing the final project, students will present their statements to their advising lecturer. This presentation will provide the students a professional way of making presentations. |
Students will conduct scientific research together with their advisors. |
Week | Subject | Related Preparation | |
1) | Project Course Introduction and Process Explanation | None | |
2) | Topic Selection and Preliminary Research | None | |
3) | Literature Review and Formulating the Research Question | None | |
4) | Determining the Research Method | None | |
5) | Development of Data Collection Tools | None | |
6) | Project Proposal Presentation and Feedback | None | |
7) | Data Collection Process | None | |
8) | Introduction to Data Analysis | None | |
9) | Advanced Data Analysis Techniques | None | |
10) | Data Analysis and Interpretation of Initial Findings | None | |
11) | Writing and Discussion of Findings | None | |
12) | Consulting and Final Checks on Project Reports | None | |
13) | Consulting and Final Checks on Project Reports | None | |
14) | Project Presentation and Evaluation | None |
Course Notes: | Eğitimde Bilimsel Araştırma - Lisa Towne / Richard J. Shavelson - National Academic Press - ISBN-13: 978-0309082914 |
References: | Scientific Research in Education - Lisa Towne / Richard J. Shavelson - National Academic Press - ISBN-13: 978-0309082914 |
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 | % 100 |
Seminar | % 0 | |
Midterms | % 0 | |
Preliminary Jury | % 0 | |
Final | % 0 | |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 0 | |
PERCENTAGE OF FINAL WORK | % 100 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 6 | 25 | 150 |
Study Hours Out of Class | 7 | 30 | 210 |
Presentations / Seminar | 1 | 25 | 25 |
Project | 1 | 25 | 25 |
Homework Assignments | 0 | 0 | 0 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 0 | 0 | 0 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 0 | 0 | 0 |
Total Workload | 410 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications. | 4 |
2) | To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field. | 3 |
3) | To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility. | 4 |
4) | To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines, | 3 |
5) | To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data. | 5 |
6) | To be able to develop strategy, policy and implementation plans in the fields related to the field and to evaluate the obtained results within the framework of quality processes. | 4 |