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Program Type: 
Thesis
Course Code: 
FE 598
Semester: 
Spring
P: 
0
Lab: 
0
Credits: 
0
ECTS: 
20
Course Language: 
Turkish
Course Objectives: 

Seminar course as a preparatory prerequisite for Master Thesis

Course Content: 

Seminar course as a preparatory prerequisite for Master Thesis

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion
Assessment Methods: 
A: Testing, C: Homework

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

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

IN-TERM STUDIES

NUMBER

PERCENTAGE

Mid-terms

   

Quizzes

   

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

Activities

Quantity

Duration
(Hour)

Total
Workload
(Hour)

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