Seminar course as a preparatory prerequisite for Master Thesis
Seminar course as a preparatory prerequisite for Master Thesis
Vertical Tabs
Course Learning Outcomes
Learning Outcomes | Program Learning Outcomes | Teaching Methods | Assessment Methods |
Use of all knowledge and skills earned through the courses | 1,2,3 | A,C | |
Review of econometric models and data processing programs | 1,2,3 | A,C | |
Finalizing the introductory phase of writing the thesis | 1,2,3 | A,C | |
Literature review on the selected topics | 1,2,3 | A,C |
Course Flow
COURSE CONTENT |
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Week |
Topics |
Study Materials |
1 |
Research in selected topics |
|
2 |
Research in selected topics |
|
3 |
Research in selected topics |
|
4 |
Research in selected topics |
|
5 |
Research in selected topics |
|
6 |
Research in selected topics |
|
7 |
Research in selected topics |
|
8 |
Research in selected topics |
|
9 |
Research in selected topics |
|
10 |
Research in selected topics |
|
11 |
Research in selected topics |
|
12 |
Research in selected topics |
|
13 |
Research in selected topics |
|
14 |
Research in selected topics |
|
15 |
Research in selected topics |
|
16 |
Research in selected topics |
Assessment
ASSESSMENT |
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IN-TERM STUDIES |
NUMBER |
PERCENTAGE |
Mid-terms |
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Quizzes |
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Assignment |
14 |
100 |
Total |
|
100 |
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE |
1 |
20 |
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE |
|
80 |
Total |
|
100 |
Course’s Contribution to Program
COURSE'S CONTRIBUTION TO PROGRAM | |||||||
No | Program Learning Outcomes | Contribution | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | To use the information and skills gathered from the subjects of finance, economics, statistics and computer science, in interdisciplinary studies; to produce new application areas | X | |||||
2 | With the awareness of learning and questioning lifetime, he/she follows (inter)national publications; is expected to enlarge the borders of information by producing academic, scientific papers. | X | |||||
3 | He/she plans and executes analytical, modelling and experimental based research studies; solves problems and interprets results and makes estimations. | X | |||||
4 | As a graduate, he/she is expected to collate the knowledge, characteristics and abilities and skills into his/her professional career. | X | |||||
5 | With the proficiency in English, following the recent information and developments on international basis. | X | |||||
6 | Widely uses and benefits from the software programs, data processing and information technologies required in the relevant fields. | X |
ECTS
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION |
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Activities |
Quantity |
Duration |
Total |
Course Duration (Including the exam week: 16x Total course hours) |
16 |
3 |
48 |
Hours for off-the-classroom study (Pre-study, practice) |
16 |
16 |
256 |
Mid-terms |
|||
Ödev |
14 |
10 |
140 |
Final examination |
1 |
60 |
60 |
Total Work Load |
|
|
504 |
Total Work Load / 25 (h) |
|
|
20,2 |
ECTS Credit of the Course |
20 |