GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SPECIAL STUDIES in MS/8010301
Course Title: SPECIAL STUDIES in MS
Credits 0 ECTS 22.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Carry out literature search on thesis topics.
Access the recent progress on thesis topic.
Classify and evaluate the information on thesis topic.
Comprehend the scientific ethic.
Present his/her study in written and oral manner.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week   Literature search on thesis topics.
2. Week   Literature search on thesis topics.
3. Week   Literature search on thesis topics.
4. Week   Classification and evaluation the information on thesis topic.
5. Week   Classification and evaluation the information on thesis topic.
6. Week   Classification and evaluation the information on thesis topic.
7. Week   Classification and evaluation the information on thesis topic.
8. Week   Classification and evaluation the information on thesis topic.
9. Week   Classification and evaluation the information on thesis topic.
10. Week   Classification and evaluation the information on thesis topic.
11. Week   Classification and evaluation the information on thesis topic.
12. Week  Presentation his/her study in written and oral manner.
13. Week  Presentation his/her study in written and oral manner.
14. Week  Presentation his/her study in written and oral manner.
15. Week  Presentation his/her study in written and oral manner.
16. Week  Presentation his/her study in written and oral manner.
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
0
0
 Assignment
2
20
 Application
0
0
 Projects
2
50
 Practice
2
30
 Quiz
0
0
 Percent of In-term Studies  
100
 Percentage of Final Exam to Total Score  
0
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
16
3
48
 Weekly Tutorial Hours
0
 Reading Tasks
16
10
160
 Searching in Internet and Library
16
10
160
 Material Design and Implementation
0
 Report Preparing
12
10
120
 Preparing a Presentation
3
10
30
 Presentation
3
10
30
 Midterm Exam and Preperation for Midterm Exam
0
 Final Exam and Preperation for Final Exam
0
 Other (should be emphasized)
1
10
10
 TOTAL WORKLOAD: 
558
 TOTAL WORKLOAD / 25: 
22.32
 Course Credit (ECTS): 
22.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X
 -- NAME OF LECTURER(S)
   ( Department lecturers)
 -- WEB SITE(S) OF LECTURER(S)
   (istatistik.gazi.edu.tr)
 -- EMAIL(S) OF LECTURER(S)
   ( fefistatistik@gazi.edu.tr)