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FACULTY of ENGINEERING / DEPARTMENT of MECHANICAL ENGINEERING

Course Catalog
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FACULTY of ENGINEERING / DEPARTMENT of MECHANICAL ENGINEERING /
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 
TEZ 400Graduation Study0+6+0ECTS:10
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of STATISTICS and COMPUTER SCIENCES
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study
Contact Hours14 weeks - 6 hours of practicals per week
LecturerProf. Dr. Türkan ERBAY DALKILIÇ
Co-LecturerASSOC. PROF. DR. Zafer KÜÇÜK,ASSIST. PROF. DR. Halil İbrahim ŞAHİN,ASSIST. PROF. DR. Orhan KESEMEN,ASSIST. PROF. DR. Tolga BERBER,ASSIST. PROF. DR. Uğur ŞEVİK,ASSOC. PROF. DR. Zafer KÜÇÜK,ASSIST. PROF. DR. Halil İbrahim ŞAHİN,ASSIST. PROF. DR. Orhan KESEMEN,ASSIST. PROF. DR. Tolga BERBER,ASSIST. PROF. DR. Uğur ŞEVİK,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The students will gain talents of how to study independently.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : research, prepare and present the given topic6,10,115,6
LO - 2 : understand the social and ethical responsibilities and participate in group works6,10,115,6
LO - 3 : think critically and creatively, and work in groups or independently.6,10,115,6
LO - 4 : apply the obtained skills and techniques to various disciplines.6,10,115,6
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
The study will be selected in the field of statistics and computer sciences with the director of advisor lecturer.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1As part of degree thesis, students are requested to prepare thesis under the different subdepartments of Statistics and Computer sciences. These studies, continue during the semester. At the end of the studies, thesis reports are prepared and an oral examination is made before the jury.
 Week 2Graduation thesis
 Week 3Graduation thesis
 Week 4Graduation thesis
 Week 5Graduation thesis
 Week 6Graduation thesis
 Week 7Graduation thesis
 Week 8Graduation thesis
 Week 9Mid-term exam
 Week 10Graduation thesis
 Week 11Graduation thesis
 Week 12Graduation thesis
 Week 13Graduation thesis
 Week 14Graduation thesis
 Week 15Graduation thesis
 Week 16End-of-term exam
 
Textbook / Material
1Casella, G. (2001). Statistical Inference. Pacific Grove, Calif. : Wadsworth.
2Gihman I.I., Skorohod A. V. The theory of stochastic processes. Berlin, Springer, 1973.
3David McMahon, 2007; MATLAB®, McGraw-Hill, New York
 
Recommended Reading
1Joaquim P. Marques, 2007, Applied Statistics using SPSS, STATISTICA, MATLAB AND R, Springer, Berlin
2Hamdy, T., 2000, Yöneylem araştırması, Literatür yayınları, İstanbul.
3 Reports and articles on the topic of the completion
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
End-of-term exam 16 13/01/2017 1 100
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 6 14 84
Sınıf dışı çalışma 8 14 112
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 0 0 0
Arasınav 0 0 0
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 10 15 150
Proje 0 0 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 25 1 25
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load373